Podcasts about UX

Host Dirk Knemeyer, a veteran in user experience (UX) design, is joined by co-host David Heron, a long-time game industry professional known for his work across major console evolutions and mobile free-to-play titles. In this episode, they dive deep into the rapidly evolving landscape of AI in game development, sparked by listener questions from their Discord community. The discussion explores the technical hurdles of AI memory and "drift," the ethical debates surrounding AI-generated art versus code, and the historical parallels between current AI fears and past technological shifts like the Luddite movement. Whether you're a developer or a curious player, this conversation offers a blunt, expert look at how AI might either disrupt or democratize the craft of making games

EPISODE DESCRIPTIONI sat down with Harvey Liu, co-founder of LeveX Exchange, to dig into what it really takes to build a crypto trading platform from the ground up. Harvey's journey is fascinating , from studying computer science in China, to getting his MBA at INSEAD, to becoming an early Bitcoin investor when BTC was around $100, to backing the founders of Huobi and OKCoin as a VC, and now building his own exchange in Singapore. We talk about why he designed LeveX around social trading, how features like multi-trade and KOL-driven tournaments set them apart from Binance and OKX, and the honest truth about what works and what doesn't in crypto marketing. Harvey also shares what he looks for as a VC when evaluating Web3 startups in a bear market , and why founders with failure experience often outlast the ones who only know wins. DISCLAIMERNothing mentioned in this podcast is investment advice and please do your own research. It would mean a lot if you can leave a review of this podcast on Apple Podcasts or Spotify and share this podcast with a friend. Be a guest on the podcast or contact us - https://www.web3pod.xyz/CONNECTLeveX Exchange: https://www.levex.comLeveX Twitter/X: https://x.com/levex Web3 with Sam Kamani: https://www.web3pod.xyzKEY POINTS WITH TIMESTAMPS• [00:01] Sam introduces Harvey Liu, co-founder of LeveX Exchange, and outlines the episode topics: building an exchange, growth, and VC lessons• [01:25] Harvey shares his background , computer science in China, five years at a Canadian internet company, MBA at INSEAD, then back to China for VC• [03:13] Harvey's first exposure to Bitcoin in 2013 as a VC, meeting the founders of Huobi and OKCoin, and buying BTC at around $100• [04:38] Moving to Singapore during COVID, joining a Singapore VC firm, and spotting the gap in social features on major trading platforms• [06:42] The founding idea behind LeveX: a platform built by traders, for traders, with a social layer that bigger exchanges lacked• [08:38] Who LeveX was designed for , seasoned traders, KOLs, and retail , and how user feedback shaped the product• [11:05] Gamification on the platform: quests, bonus milestones, KOL-run tournaments, and exclusive content areas for followers• [13:39] Current stats: over 400,000 registered users, focus on improving UX before aggressive marketing, and plans for Token 2049 Singapore• [15:35] User geography , mostly Europe and Asia, with Sam highlighting Southeast Asia (Philippines, Vietnam, Indonesia) as a massive growth opportunity• [18:35] Harvey's VC framework for evaluating Web3 startups in a bear market: team track record including failures, revenue traction, real utility, and exit strategy• [22:49] The biggest challenge building LeveX: rebuilding trust post-FTX, and how proof of reserves, bug bounties, and penetration testing address that• [26:06] Growth experiments , what worked (deep KOL partnerships) and what didn't (expensive Google and Meta paid ads with low conversion)• [30:13] LeveX's standout feature: multi-trade, which lets traders open multiple simultaneous positions on the same trading pair at different prices, directions, and leverage levels• [33:12] Vision for the next two to three years: reach top 20 global trading platform, expand into prediction markets and AI tools, and time the next bull run right• [34:51] Harvey's ask: strategic marketing and branding partners to help with the next bull run, and an open invitation for listeners to try the platform

Recorded live at MAU Vegas 2026 in collaboration with AppsFlyer, Steve P. Young had a quick conversation with David LoPresti, Director of Consumer Apps at U-Haul, to break down the app strategies helping millions of customers during one of the most stressful moments in life: moving.David shares how a simple UX improvement inside the U-Haul app eliminated over 600,000 customer support phone calls and saved the company nearly $3 million in operational costs, proving that the best app growth strategies aren't always powered by AI.You'll also learn how U-Haul leverages first-party customer data, improves mobile app onboarding, reduces friction, and creates personalized customer experiences at scale.If you're building an app in 2026, this conversation is packed with actionable lessons on app UX, retention, customer experience, and mobile growth.You'll Learn:✅ How U-Haul saved millions with one app feature✅ Why reducing friction increases customer retention✅ The power of simple UX improvements✅ App growth lessons from a household brand✅ Why customer reviews reveal your best product roadmapLearn more about AppsFlyer's new Mobile Measurement:https://bit.ly/4u8OpRhWork with us to grow your apps faster & cheaper:http://www.appmasters.com/You can also watch this video here: https://youtu.be/V6pwcHqs7X0*********************************************SPONSORSThe app growth playbook is changing fast.AppsFlyer's State of eCommerce App Marketing Report 2026 breaks down the latest trends, benchmarks, fraud insights, and market-by-market data every app marketer should know before planning Q4.Download it free from the link below: https://bit.ly/4uvoHGM*********************************************Yango Ads is offering 20% revenue boost bonus, sign up here: https://yango-ads.com/adnetwork/bonus20?utm_source=yt&utm_medium=social&utm_campaign=bonus. This special offer is valid before June 30th, 2026. Don't miss your chance to monetize your apps smarter!*********************************************Follow us:YouTube: ⁠AppMasters.com/YouTube⁠Instagram: ⁠@App MastersTwitter: ⁠@App MastersTikTok: ⁠@stevepyoung⁠Facebook: ⁠App Masters⁠*********************************************

Mike & Tommy dive into Claude Design meets Power BI Embedded, exploring whether AI-generated UX is a shortcut or a quality risk, how semantic models stay the source of truth when LLMs scaffold embedded apps, and what guardrails belong on every AI-assisted analytics project.https://www.reddit.com/r/PowerBI/comments/1sy5kue/claude_design_meets_power_bi_embedded/Get in touch:Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page.Visit PowerBI.tips: https://powerbi.tips/Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitipsSubscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVvSubscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎Check Out Community Jam: https://jam.powerbi.tipsFollow Mike: https://www.linkedin.com/in/michaelcarlo/Follow Tommy: https://www.linkedin.com/in/tommypuglia/

The latest In Touch With iOS Dave Ginsburg is joined by Jeff Gamet, Guy Serle, Marty Jencius, Jill McKinley, and Eric Bolden to talk Apple's latest beta releases, Vision Pro gaming with Steam Link and PS5 Remote Play, Siri and AI rumors for iOS 27, Mac hardware news, CarPlay customization tips, Apple Wallet IDs, Thunderbolt 5 docks, and much more as WWDC 2026 gets closer. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary In this episode of In Touch With iOS, Dave Ginsburg is joined by Jeff Gamet, Guy Serle, Marty Jencius, Jill McKinley, and Eric Bolden for a fun and wide-ranging discussion covering the latest Apple news, rumors, tips, and plenty of laughs as WWDC 2026 quickly approaches. The show kicks off with discussion around Apple's latest beta releases for iOS, iPadOS, macOS, visionOS, watchOS, and tvOS. While the updates appear mostly focused on bug fixes and stability improvements, the panel speculates Apple may already be quietly laying groundwork for major WWDC announcements behind the scenes. Vision Pro continues to dominate conversation this week with the arrival of the native Steam Link app, giving users a new way to stream PC games directly into Apple's headset. The panel discusses the growing gaming possibilities for Vision Pro, including PS5 remote play support and whether Apple's expensive headset could eventually become a more serious entertainment and gaming platform. Leaked images of black Vision Pro components also spark speculation about possible future hardware revisions or prototype devices Apple may still be testing internally. Security and messaging updates are another major focus this week. The crew discusses Apple's expanded transparency around CVE security reporting, encrypted RCS messaging support in Messages, and how users can verify end-to-end encryption is active. The conversation quickly turns humorous as the group debates Apple's new alerts for users who max out blocked contacts, leading to stories about spam texts, political messages, and the endless battle against robocalls. On the Mac side, the panel covers the M5 MacBook Air reaching one of its lowest prices yet, making it an especially attractive option for Apple users looking to upgrade. Dave also shares excitement about the massive Virtual OS Museum project, which allows users to explore and run classic operating systems from decades past, including older versions of macOS, Windows, Linux, Atari, and more. The discussion then shifts into AI and Apple's future plans. OWC's upcoming Stack AI hardware generates interest as the panel explores how local AI processing and large language models may shape the future of Mac hardware. From there, the conversation moves into new rumors surrounding iOS 27, including reports of a redesigned Siri experience, a standalone chatbot-style Siri app, Dynamic Island integration ideas, and Apple's ongoing effort to compete in the rapidly evolving AI space. The panel debates whether Apple is truly behind competitors like ChatGPT and Gemini, or simply pursuing a more privacy-focused and ecosystem-driven approach. The crew also spends time discussing Apple's redesigned app icons and the growing confusion surrounding Creative Studio apps like Final Cut Pro and Logic Pro. Jeff Gamet passionately argues Apple has "completely lost the plot" with icon design, while Marty Jencius defends the idea of evolving aesthetics, leading to one of the funniest debates of the episode. Practical user tips round out the show, including how to customize CarPlay layouts, manage widgets and apps, enable 120Hz ProMotion refresh rates on iPhone, and use Apple Wallet driver's licenses in supported states. The panel shares real-world experiences using digital IDs and Apple Pay, including a hilarious story about a cashier insisting Apple Pay users still needed to "pay with money." Finally, the crew previews Macstock 2026 and Creator Camp, encouraging listeners to join the Apple community event this summer. With discussions covering Vision Pro gaming, Siri rumors, AI strategy, CarPlay, Mac hardware, Apple Wallet, and much more, Episode 425 delivers another packed week of Apple news, insight, and entertaining conversation from the In Touch With iOS team. Topics and Links In Touch With Vision Pro this week.  visionOS 26.6 Beta Release Notes | Apple Developer Documentation The native Steam Link app for Apple Vision Pro is now available More All-Black Apple Vision Pro Parts Surface Online Apple Vision Pro & PlayStation 5 are the perfect combo with Portal Remote Play app Beta this week. iOS 26.6 Beta 1 was released this week Apple Seeds First iOS 26.6 and iPadOS 26.6 Betas to Developers Apple Releases First watchOS 26.6, tvOS 26.6 and visionOS 26.6 Betas Apple adds new CVE details to several macOS, iOS, iPadOS, visionOS, and watchOS updates iOS 26.5 gave Messages app encrypted RCS, here's how to check it's working iOS 26.6 Will Alert You When You've Maxed Out Blocked Contacts Apple Releases New Firmware for AirTag 2 In Touch With Mac this week First macOS Tahoe 26.6 Beta Now Available for Developers Apple's M5 MacBook Air Hits New Low Price of $899.99 The Virtual OS Museum is a fantastic project that lets you run Mac OS, A/UX, NeXTSTEP, more We have many questions about OWC's new Stack AI speed booster Add multiple high-res screens to your Mac with these new Thunderbolt 5 docks Other Topics Apple Updates Trade-In Values for iPhone, iPad, Mac, and Apple Watch Apple Publishes Document to Help Users Tell Creator Studio Apps Apart  Leaks: iOS 27 leak reveals new Siri design, Camera app, more Detailed iOS 27 renders show Siri's big makeover  iPadOS 26.5 has convenient upgrade when using Magic Keyboard, more Tips Time Permitting  Tips to customize CarPlay for your vehicle How to Activate 120Hz Refresh Rate on iPhone News Apple Just Expanded iPhone Driver's License Feature to 14th U.S. State After the Whistle with Brendan Hunt and Rebecca Lowe returns Announcements Macstock X is here celebrating its 10th anniversary ! Dave, Chuck, Jeff, Marty, and Jill are all speaking this year!. With Three Full Days of expert-led Presentations and Workshops, Macstock's sessions are crammed full of productivity-enhancing content. NEW this year is a partnership with sponsor Ecamm. Ecamm Creator Camp: Mac Edition on July 9, 2026 there are only 100 tickets available for the bundle. There are 2 passes available: Macstock weekend pass July 10,11,12, 2026 or the Macstock Ecamm Bundle starting July 9 (only 100 tickets available)  Come join us. Register HERE and use our offer code INTOUCH to save $50 Our Host Dave Ginsburg is an IT professional supporting Mac, iOS and Windows users and shares his wealth of knowledge of iPhone, iPad, Apple Watch, Apple TV and related technologies. Visit the YouTube channel https://youtube.com/intouchwithios follow him on Mastodon @daveg65, , BlueSky @daveg65  and the show @intouchwithios   Our Regular Contributors Jeff Gamet is a podcaster, technology blogger, artist, and author. Previously, he was The Mac Observer's managing editor, and Smile's TextExpander Evangelist. You can find him on Mastadon @jgamet Pixelfed @jgamet@pixelfed.social and Bluesky @jgamet.bsky.social‬ Podcasts The Context Machine Podcast  Retro Rewatch Retro Rewatch His YouTube channel https://youtube.com/jgamet Website: https://jeffgamet.com  Marty Jencius, Ph.D., is a professor of counselor education at Kent State University, where he researches, writes, and trains about using technology in teaching and mental health practice. His podcasts include Vision Pro Files, The Tech Savvy Professor and Circular Firing Squad Podcast. Find him at jencius@mastodon.social  https://thepodtalk.net  Eric Bolden is into macOS, plants, sci-fi, food, and is a rural internet supporter. You can connect with him by email at eabolden@mac.com, on Mastodon at @eabolden@techhub.social, on his blog, Trending At Work, and as co-host on The Vision ProFiles podcast.   Jill McKinley works in enterprise software, server administration, and IT A lifelong tech enthusiast, she started her career with Windows but is now an avid Apple fan. Beyond technology, she shares her insights on nature, faith, and personal growth through her podcasts—Buzz Blossom & Squeak, Start with Small Steps, and The Bible in Small Steps. Watch her content on YouTube at @startwithsmallsteps and follow her on X @schmern. Find all her work at http://jillfromthenorthwoods.com  Chuck Joiner is the host of MacVoices and hosts video podcasts with influential members of the Apple community. Make sure to visit macvoices.com and subscribe to his podcast. You can follow him on Twitter @chuckjoiner and join his MacVoices Facebook group. Guy Serle is one of the hosts of the new The Gmen Show along with GazMaz and email GMenshow@icloud.com  @MacParrot and @VertShark on X  Vertshark on YouTube, Google Voice +1 Area code  703-828-4677

This week on More or Less, Amir Efrati of The Information joins Jessica, Brit, and Dave to unpack the growing intersection of AI, government, and national security, from the rumored stalled executive AI order to why frontier model companies may soon face deeper U.S. oversight and pre-release access demands. The group debates whether slowing AI adoption is really a pricing and UX problem, why AI agents are causing token consumption to explode, and whether most consumers even want an always-on personal agent. They also dive into the geopolitical implications of data centers and open-source software, AI's impact on entertainment and voice cloning, Hollywood's anxiety over originality, and the strange new world where even papal writings prompt questions about whether AI had a hand in shaping the message.Chapters:1:57 — AI Predictions, Whispering to Models & Forecasting the Future4:37 — AI, National Security & the Trump Administration6:52 — The Pope's AI Document, Closed Models & Security Risks11:56 — AI Regulation, Job Fears & Public Sentiment15:45 — Is AI Adoption Slowing Down? Pricing, ROI & Enterprise Reality21:00 — Agents, CIOs & Whether Mainstream Users Will Ever Embrace AI36:00 — AI Entertainment, Voice Cloning & Hollywood's Future41:52 — Going Off-Grid, Book Recommendations & Digital Detoxes47:00 — Mark Rober, CrunchLabs & the $10,000 Bullseye StoryWe're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessYouTube: https://youtu.be/OyC7N42o36sConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

Most sales teams have more enablement material than ever and reps who still freeze on live calls. In this episode of Content to Close, Gus Garza, an enablement leader at Yext, explains why the gap between training and revenue readiness comes down to one thing: reps. Gus walks through how he uses Gong calls to diagnose where sellers are actually tripping up, why prescriptive bite-sized learning beats two-hour courses, and how he uses tools like Synthesia avatars and AI role play (plus a free ChatGPT voice-mode GPT) to give reps practice before they practice on customers. He breaks down how to personalize coaching at scale, getting one rep working on discovery while another tightens up the close, and why the reps who refuse to adapt to AI tend to weed themselves out. If you lead an enablement team or own quota and feel like your training program is checking boxes without changing behavior, this conversation gives you a practical model.About GusGus Garza is an enablement professional at Yext, where he focuses on turning sellers into revenue-ready reps. Gus came up through the Bay Area tech world after a stint in the military working in avionics, paid his dues as an SDR, and moved into closing roles and major accounts before falling into enablement six years ago. He spent time at UserTesting selling into enterprise UX teams, and credits his early SDR hunting instincts and improv background for the way he coaches reps today.Show Notes- Connect with Gus on LinkedIn: https://www.linkedin.com/in/gustavogarza/Text us what you think about this episode!

Send us Fan MailMost sports teams hire an agency to sell more tickets — then evaluate them on impressions, clicks, and CPM. In Episode 166, Jeremy Neisser breaks down why those vanity metrics are misleading, what an outside marketing partner can and can't control, and the conversion-focused metrics that actually tell you whether your agency is earning its fee. A practical episode for any marketing director, ticket sales leader, or revenue officer evaluating an outside partner this season.KEY TOPICS COVERED- Why most sports teams are scoring their agency on the wrong scoreboard — and what to use instead- The difference between vanity metrics (impressions, clicks, CPM, reach) and revenue-driving metrics (conversions, cost per buyer, attributed revenue)- Why huge website traffic with no buyers means the campaign didn't work- What marketing can fix — and what it can't (pricing, schedule, fan experience, ticketing UX)- "Marketing is multiplication, not magic": how a weak offer or broken product gets amplified, not solved- How to spot the silent killer of agency partnerships: chaos creation vs. chaos reduction- The exact KPIs to hold your agency accountable to: conversions, conversion rate, cost per purchase, cost per lead, repeat buyers, AOV, retargeting growth, attributed revenue- Why pattern recognition and platform speed are the real product you're paying for- How a great agency lets a marketing director get out of the "0-2 count" mindset and operate proactively- What separates a transactional vendor from a true strategic partner- The right questions to ask when reviewing your current agency's performanceTIMESTAMPS[00:00] – Why evaluating a sports marketing agency is harder than it looks[00:25] – The vanity-metric trap: why impressions and clicks mislead leadership[00:53] – Why heavy website traffic still produces flat ticket sales[01:22] – The metrics that actually drive growth and ROI[01:45] – What marketing can't fix: pricing, schedule, and operational issues[02:14] – Red flags: agencies that create chaos instead of reducing it[02:43] – Tactical work vs. strategic impact in agency evaluation[03:07] – Why attribution and proactive reporting separate good agencies from bad[03:35] – Building collaborative relationships, not vendor relationships[04:04] – Using your agency to actually understand fan behavior[04:32] – Where marketing hits a wall against broken business systems[05:01] – How the right agency brings clarity and reduces internal chaos[05:30] – Reactive vs. proactive communication: how to tell the difference[06:00] – Holding agencies accountable on sales and revenue, not activity[06:29] – Why strategic insight beats surface-level metrics every time[07:00] – How agency partnerships evolve from transactional to strategic[07:26] – Measuring agency success through conversions and audience growth[07:55] – The role of attribution and clear, honest reporting[08:16] – The daily firefight in sports marketing — and how an agency should ease it[08:46] – Pattern recognition, trend identification, and creative testing speed[09:13] – When an agency challenges assumptions and sparks new ideas[09:40] – Building a strategic partnership focused on tickets and fan growth[10:09] – The real value of proactive trend analysis and outside perspective[10:37] – Main takeaways: business impact over vanity metrics[11:04] – Why marketing amplifies — but doesn't solve — operational issues[11:33] – Clarity and strategic collaboration as the new standard[11:59] – How to honestly assess your current agency's reporting[12:21] – Free 30-minute consult: get a second opinion on your agency reports[12:48] – Final thoughts and how to share this with your teamCALL TO ACTIONIf you're working with an outside marketing partner and you're not sure whether the reporting you're getting actually proves they're moving the needle, Jeremy is offering a free 30-minute conversation to walk through it with you. No pitch, no strings — just clarity. Grab a slot at sportsmarketingmachine.com.RESOURCES & LINKSRevelocity Sports: https://revelocitysports.com/Jeremy Neisser on LinkedIn: https://linkedin.com/in/jeremyneisserFree 30-Minute Marketing Consultation: https://sportsmarketingmachine.com/QUOTE PULLSJeremy Neisser: "Clicks don't pay the bills. Impressions don't pay the bills. Conversions do."Jeremy Neisser: "Traffic without conversion is just noise."Jeremy Neisser: "Marketing is multiplication, not magic. If the underlying experience is broken, marketing just amplifies the problem."Jeremy Neisser: "A good agency should reduce chaos, not create it. If your agency creates more fires than they put out, that's a problem."Jeremy Neisser: "The best agencies don't just run ads and send reports. They become strategic partners — they challenge assumptions, bring ideas, and connect your marketing to revenue."Episode page - LINKSports Marketing Machine on LinkedInSports Marketing Machine on InstagramBook a call with Jeremy from Sports Marketing Machine

What does “responsible AI” look like in practice? In one of our most engaging episodes of the year, host Will Francis speaks with  Gordon Ryan, Senior Managing Consultant and Design Process Lead at Sopra Steria, about the growing impact of AI on work, business, and society, and the hidden trade-offs behind its adoption. From the future of design and marketing to productivity and identity, Gordon shares his perspective on where AI could take us next, and whether we're building the kind of future we want. Gordon's top 3 tips for responsible strategic use of AI: Reflect on what you value most in your work: Identify the parts of your role that feel meaningful and uniquely human Use AI intentionally: Focus on solving real problems instead of adopting tools simply because they're available Think beyond productivity: Consider how AI could improve wellbeing, relationships, creativity, and quality of life at work The Ahead of the Game podcast is brought to you by the Digital Marketing Institute and is available on YouTube, Apple Podcasts, Spotify, and all other podcast platforms. And if you enjoyed this episode, please leave a review so others can find us. If you have other feedback or would like to be a guest on the show, email the podcast team!  Timestamps: 0:01:57 – What systems-oriented design means 0:04:31 – UX design, digital experiences and systems thinking 0:05:10 – Will AI replace designers? 0:08:24 – Creativity, craft and the human side of design 0:09:24 – Are companies adopting AI without a clear strategy? 0:11:37 – The “Wild West” of AI inside organizations 0:14:41 – Gordon's most practical uses of AI today 0:16:00 – Using AI to analyze complex environmental and forestry data 0:18:36 – The human impact of automation and lost relationships 0:21:13 – What ethical AI really means beyond compliance 0:22:41 – Productivity, profit and the future of work 0:26:12 – Why business growth can't continue forever 0:30:18 – Is Gordon optimistic or skeptical about AI? 0:31:30 – AI, inequality and the environmental crisis 0:34:59 – Reconciling AI's benefits with its environmental impact 0:36:00 – Could AI enable shorter working weeks? 0:39:36 – The future of marketing and behavioral manipulation 0:45:50 – Marketing, persuasion and ethical responsibility 0:46:37 – How to use AI more mindfully 

Mikayla Maki, software engineer at Zed, digs into what makes this Rust-built code editor tick... from GPUI, their GPU-accelerated UI framework with a Tailwind-inspired API, to CRDTs powering real-time live collaboration without merge conflicts. She talks about the Zed 1.0 release, their approach to AI, how the team builds popular features directly into core instead of relying on extensions, and why Rust might be the best language for agentic coding. Plus: native app comeback, GPUI on mobile, and where the framework is heading. Links LinkedIn: https://www.linkedin.com/in/mikayla-maki Bluesky: https://bsky.app/profile/rad.gendervibes.online GitHub: https://github.com/mikayla-maki Resources Zed 1.0 announcement: https://zed.dev/blog/zed-1-0 DeltaDB / Sequoia Series B post: https://zed.dev/blog/sequoia-backs-zed ACP overview: https://zed.dev/acp GPUI engineering post: https://zed.dev/blog/leveraging-rust-and-the-gpu-to-render-user-interfaces-at-120fps Builder.io "Is Zed ready for AI power users in 2026?": https://www.builder.io/blog/zed-ai-2026 Mikayla's RustConf 2025 talk: https://www.youtube.com/watch?v=rpEU9DNbXA4 filtra.io interview with Mikayla: https://filtra.io/rust/interviews/zed-aug-25 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. Chapters

Your nice hosts have talked a lot over the years about exploitative game design, and this week we brought in an expert on gamification to lay out some of the dark patterns in games that take players' money and time via deceptive framing and UX.https://samliberty.comSam Liberty - MediumSam Liberty - LinkedInDark PatternsGame DesignWhy “Addictive” Gameplay Should Never Be The Goal - Lydia Symchych, ELB LearningHEXAD FrameworkAddiction by Design - Natasha Dow SchüllTiny Habits: The Small Changes That Change Everything - BJ FoggHow to Change: The Science of Getting from Where You Are to Where You Want to Be - Katy MilkmanHow dating apps weaponized loneliness against their users - Sam Liberty

Why do so many MedTech innovations fail to gain traction—even when the technology works exactly as designed? In this episode of Med Tech Gurus, we're joined by Erin Rollenhagen, Founder and CEO of People-Friendly Tech, UX strategist, and author of Love at First Launch. With experience leading over 200 successful technology launches across healthcare and other regulated industries, Erin brings a unique perspective on what truly drives product adoption. Erin explains why usability and emotional connection often matter more than features alone—and why success depends on how both clinicians and patients feel when interacting with new technology. We explore how companies can preserve the original vision behind their innovations while navigating compliance, scaling challenges, and evolving market demands. From designing onboarding experiences that build trust to using AI thoughtfully without overwhelming users, Erin shares how MedTech leaders can create solutions that align with real-world workflows and deliver meaningful outcomes. If you're a founder, executive, or investor looking to improve clinical adoption and scale innovation without losing the magic of your original idea, this episode offers practical insights into building technology people actually want to use.

Most content doesn't fall apart at the idea stage. It falls apart in the handoff. In this episode of Content Amplified, Leo Kosir, a Chicago-based creative leader with 20-plus years across boutique design firms, full-service ad agencies, pharma, and in-house teams for national retail, lifestyle, and web hosting brands, unpacks what he calls 360 content. Leo explains why directors, editors, stylists, music supervisors, UX, and developers should be in the room at the brief, not after the concept is locked. He shares how to corral too many cooks without losing big ideas (distill to three diverse concepts, not three variants of the same layout), why decision makers belong in early brainstorms so you never hear "let's start over" two months in, and why customer testing should override even a key stakeholder's opinion. If your team is shipping work that feels flat by the time it goes live, this episode tells you where the leak is.About LeoLeo Kosir is a Chicago-based creative leader with more than 20 years of experience building brands and leading integrated campaigns. He has worked across boutique design firms, full-service ad agencies, a pharmaceutical agency, and in-house creative teams for national retail, lifestyle, and web hosting brands. His work spans traditional advertising, digital, experiential, and content. Leo believes the best creative work happens when strategy and craft refuse to compromise on each other.Show Notes- Connect with Leo on LinkedIn: https://www.linkedin.com/in/leo-kosir/Text us what you think about this episode!

- WWDC-Geflüster: Gesundheitsfunktionen, AirPlay-Alternativen und KI - Einer geht noch: iOS 26.6 Beta gestartet - Eingeschnappt: Apple arbeitet angeblich an neuer Anti-Diebstahl-Funktion - Nostalgie: Virtuelles Museum lässt alte Mac-Betriebssysteme wiederauferstehen - Umfrage der Woche - Zuschriften unserer Hörer === Anzeige / Sponsorenhinweis === Sichere dir 4 EXTRA-Monate auf einen 2-Jahresplan über https://nordvpn.com/apfelfunk Teste NordVPN jetzt risikofrei mit der 30 Tage Geld-Zurück-Garantie. === Anzeige / Sponsorenhinweis Ende === Links zur Sendung: - 9to5Mac: watchOS 27 verbessert angeblich Herzfrequenz-Tracking; KI-Health-Coach verzögert - https://9to5mac.com/2026/05/24/apple-improving-heart-rate-tracking-in-watchos-27-mulberry-health-coach-delays/ - 9to5Mac: Apple Intelligence Bildmodelle angeblich mit großen visuellen Upgrades in iOS 27 - https://9to5mac.com/2026/05/24/apple-image-playground-and-gemoji-to-get-major-visual-improvements/ - 9to5Mac: iOS 27 angeblich mit nativer Integration von Google Cast und anderen Streaming-Protokollen - https://9to5mac.com/2026/05/24/ios-27-google-cast-third-party-streaming-integration-eu/ - 9to5Mac: iOS 27 mit überarbeiteter Kamera-Oberfläche und Fotos-App - https://9to5mac.com/2026/05/23/new-camera-app-and-photos-editing-features-coming-to-ios-27/ - 9to5Mac: Apple veröffentlicht erste iOS 26.6 Beta für iPhone - https://9to5mac.com/2026/05/26/apple-releases-first-ios-26-6-beta-for-iphone/ - 9to5Mac: Apple arbeitet an iPhone-Diebstahlsperre mit automatischer Gerätesperrung - https://9to5mac.com/2026/05/26/apple-working-on-iphone-anti-snatching-feature-that-locks-the-device-automatically/ - 9to5Mac: Das Virtual OS Museum lässt Mac OS, A/UX, NeXTSTEP und mehr laufen - https://9to5mac.com/2026/05/25/the-virtual-os-museum-is-a-fantastic-project-that-lets-you-run-mac-os-a-ux-nextstep-more/ - The Virtual OS Museum: Seite des Anbieters - https://virtualosmuseum.org/ Kapitelmarken: (00:00:00) Begrüßung (00:19:51) Werbung (00:23:18) Apfelfunk am Hörer (00:24:43) Themen (00:25:51) WWDC-Geflüster: Gesundheitsfunktionen, AirPlay-Alternativen und KI (01:03:23) Einer geht noch: iOS 26.6 Beta gestartet (01:07:37) Eingeschnappt: Apple arbeitet angeblich an neuer Anti-Diebstahl-Funktion (01:11:17) Nostalgie: Virtuelles Museum lässt alte Mac-Betriebssysteme wiederauferstehen (01:16:18) Umfrage der Woche (01:27:16) Zuschriften unserer Hörer

Most UX practitioners have spent their careers fighting for the user — pushing back against dark patterns, advocating for quality, and insisting that making things better for people is also better for the business. Eric Ries would say that instinct is exactly right. And that it's not enough.In this episode, host Laura Klein talks with Eric Ries — New York Times Best Selling Author of The Lean Startup and founder of the Long Term Stock Exchange — about his new book, Incorruptible: Why Good Companies Go Bad...and How Great Companies Stay Great. Eric makes the case that most of today's business best practices are actively value-destroying, and that the builders, designers, and makers who already believe product quality matters are more revolutionary than they realize — they just lack the tools to protect that belief inside their organizations.They dig into the history of shareholder primacy, why corporate governance is something every practitioner should understand, and the very specific questions you can ask in a job interview to find out whether a company is genuinely mission-driven or just mission-hopeful.About Eric Ries | LinkedinThe Eric Ries ShowIncorruptible (New Book) - Available Now!The Lean Start Up (Book)Related NN/G Articles & VideosUX Stakeholder Engagement 101Deceptive Patterns in UX: How to Recognize and Avoid ThemFour Factors in UX MaturityUX Maturity Is a Living System, Not a LadderUXers Need to Think Like Product LeadersTry One of Our Courses→ Becoming a UX Strategist (Live Online)→ Successful Stakeholder Relationships (Live Online)→ Lean UX and Agile (Live Online)→ Demonstrating UX Value (Self-Paced)→ UX Maturity: Elevating Organizational UX Practices (Self-Paced)Don't forget to like and subscribe! ❤️Follow Us On:NewsletterInstagramThreadsLinkedinBlueskyX

https://clearmeasure.com/developers/forums/ Ryan Riley is a Senior Lead Software Engineer at Quorum Software in Houston, TX, with deep expertise in functional programming, software architecture, and web API design across the .NET ecosystem. He is a Microsoft Visual F# MVP and longtime open-source contributor, best known for his work on projects such as Frank, WebApiContrib, and the Open Web Interface for .NET (OWIN) specification. Ryan leads the Community for F# virtual user group and is an active blogger, having recently published a thought-provoking piece in March 2026 examining AI-assisted spec-driven development and its relationship to Agile and historical software practices. He brings a thoughtful, systems-level perspective to software engineering leadership, mentoring, and team-building that spans front-end UX through back-end distributed applications. LinkedIn: https://www.linkedin.com/in/ryanriley/ GitHub: https://github.com/panesofglass Twitter/X: https://twitter.com/panesofglass Previous Appearances on the Azure & DevOps Podcast: Ryan Riley: Leading a Software Engineering Team - Episode 316 (September 23, 2024)  The Power of 10 Wiki: https://en.wikipedia.org/wiki/The_Power_of_10:_Rules_for_Developing_Safety-Critical_CodeDevelopment Process using AI Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

What does it mean to be at the “foothills of the singularity”? That’s how DeepMind CEO Demis Hassabis ended his speech at Google I/O, prompting questions and scratched heads. Oz and Reed Albergotti (Semafor) attempt to dissect the meaning behind Hassabis’s confounding statement. They also discuss why so many commencement speakers are getting booed by college graduates after bringing up AI, and what it means for SpaceX, Anthropic, and OpenAI to all be heading towards an IPO. Then, Oz sits down with David Webster, Head of UX at Google Labs, for a deeper look at the products Google unveiled at their annual developer conference of the year. Additional Reading: DeepMind founder Demis Hassabis on what Google AI products say about ‘singularity’ | Semafor A Guide to Commencement | Semafor SpaceX, Anthropic and OpenAI’s Sprint to Go Public Defines the AI Boom’s Big Day - WSJ Former Google CEO Eric Schmidt was booed | Strait Times IG Subscriber Q&A: Live @ Google I/O - by Alex Heath - Sources Download SAILY in your app store and use our code techstuff at checkout to get an exclusive 15% off your first purchase! For further details go to https://saily.com/techstuffSee omnystudio.com/listener for privacy information.

This week on More or Less, the crew unpacks IPO speculation around OpenAI and SpaceX, debates whether AI's economics ultimately favor recurring API spend or owning infrastructure outright, questions if Google's distribution advantage is enough to win the AI race despite muddled product execution, and wrestles with whether today's AI valuations are driven by real fundamentals or pure mimetic momentum, alongside broader debates on broken AI user experience, data center concentration risk, agentic search killing SEO, and whether skilled trades like plumbing may ultimately prove more durable than many white-collar jobs in the AI era.Chapters:01:35 — Brit's fish disaster story + the fish microbiome economy04:50 — Dell World, AI PCs, and the tokenomics debate (API spend vs. owning infrastructure)11:00 — Google I/O recap: agentic search, generative UI, Android glasses, and whether Google is actually back16:30 — Google's UX problem: why AI still feels broken for normal users20:00 — Anthropic vs. Google: focused monolith vs. sprawling empire22:10 — OpenAI IPO speculation + Anthropic's mega-round: what do you have to believe at $1T valuations?29:30 — The “hate invest” thesis: public sentiment, retail risk, and crypto déjà vu34:20 — Portfolio debate: SpaceX vs. Anthropic vs. OpenAI35:00 — Sam builds an AI token pricing dashboard live + how companies actually burn $30K/month on tokens37:00 — What's next in AI research? Memory, world models, and where infra plays went42:30 — White House AI model oversight rumors + OpenAI's Elon legal update50:10 — AI side projects, kids learning to code, and why plumbers may win the AI eraWe're also on ↓X: https://twitter.com/moreorlesspodInstagram: https://instagram.com/moreorlessSpotify: https://podcasters.spotify.com/pod/show/moreorlesspodConnect with us here:1) Sam Lessin: https://x.com/lessin2) Dave Morin: https://x.com/davemorin3) Jessica Lessin: https://x.com/Jessicalessin4) Brit Morin: https://x.com/brit

This month's panel digs into the SpaceX Cursor acquisition rumor and what a $60 billion valuation means for AI coding tools. They debate Bun's million-line Rust rewrite generated entirely by AI, the tradeoffs of agentic coding at scale, and a sophisticated CI/CD cache poisoning attack targeting TanStack. Plus: practical takes on Claude token optimization, session forensics, local AI models, and why most Claude Code skills work best when tailored, not pulled off the shelf. Resources SpaceX/Cursor deal, CNBC: https://www.cnbc.com/2026/04/21/spacex-says-it-can-buy-cursor-later-this-year-for-60-billion-or-pay-10-billion-for-our-work-together.html Fortune, Cursor's uncertain future: https://fortune.com/2026/03/21/cursor-ceo-michael-truell-ai-coding-claude-anthropic-venture-capital/ GitHub Copilot usage-based billing announcement: https://github.blog/news-insights/company-news/github-copilot-is-moving-to-usage-based-billing/ Developer backlash, Visual Studio Magazine: https://visualstudiomagazine.com/articles/2026/04/27/devs-sound-off-on-usage-based-copilot-pricing-change-you-will-get-less-but-pay-the-same-price.aspx "The IDE Is Dead, Long Live the ADE", Indie Hackers: https://www.indiehackers.com/post/the-ide-is-dead-long-live-the-ade-0d81e9da3d Companies spending crazy money on AI coding tools, Medium: https://medium.com/@Reiki32/companies-are-spending-crazy-money-on-ai-coding-tools-while-developers-burn-out-efe5908f3dda The PR: https://github.com/oven-sh/bun/pull/30412 The Register writeup: https://www.theregister.com/devops/2026/05/14/anthropics-bun-rust-rewrite-merged-at-speed-of-ai/5240381 The 13,000 unsafe blocks piece: https://byteiota.com/bun-rust-rewrite-merged-the-13000-unsafe-block-problem/ TanStack postmortem: https://tanstack.com/blog/npm-supply-chain-compromise-postmortem TanStack hardening follow-up: https://tanstack.com/blog/incident-followup StepSecurity writeup (the researcher who caught it): https://www.stepsecurity.io/blog/mini-shai-hulud-is-back-a-self-spreading-supply-chain-attack-hits-the-npm-ecosystem SOC Prime writeup: https://socprime.com/active-threats/active-supply-chain-attack-compromises-node-ipc-package We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. Chapters 00:00 Introduction 01:00 The $60B SpaceX Cursor deal 08:00 Token costs rising — the rug pull is real 09:30 Local models and sub-agent routing 12:00 Session forensics — cutting Claude token waste 15:00 Bun's AI-generated Rust rewrite 18:00 Should AI rewrite core infrastructure? 23:00 Does runtime choice even matter anymore? 29:00 The TanStack supply chain attack explained 33:00 How the GitHub Actions cache poisoning worked 36:00 Is GitHub Actions too flexible? 39:30 Ad break 40:00 Hot take — you'll be okay (local models and hardware) 42:30 Hot take — "They Will Kill You" (Jack's movie rec) 43:30 Hot take — stop hoarding Claude Code skills 46:00 Wrap-upSpecial Guest: Jack Herrington.

In this episode of the Living in San Diego Podcast, Chris and Cass sit down with Jason Farnan, better known as Lieutenant Facemelter, the 2013 U.S. National Air Guitar Champion.Jason gives us a behind-the-scenes look at the wild world of competitive air guitar, from local San Diego competitions to the U.S. Nationals and the Air Guitar World Championships in Oulu, Finland. We talk about how routines are judged, what “airness” actually means, the costumes, the stage personas, and why this fringe art form is a lot more serious than people might think.We also get into Jason's story of moving from Rochester, New York to San Diego, how the documentary Air Guitar Nation pulled him into the scene, and what it has been like performing as Lieutenant Facemelter for more than a decade.Plus, Jason shares another side of his career as a professional graphic and UX designer, including the story behind creating a trumpet-themed logo for New York Mets closer Edwin Díaz that ended up being sold as official merchandise at Citi Field.And if you're in San Diego, there's an upcoming San Diego Air Guitar competition happening Saturday, May 30th at 7:00 PM at Booze Brothers Brewing Company in Vista. It's free, all-ages, and open to new competitors.LINKS: Event (FREE): https://www.instagram.com/p/DWvGvW3lCNh/ Lt. Facemelter: https://www.instagram.com/ltfacemelter/SD Air Guitar: https://www.instagram.com/sdairguitar/US Air Guitar: https://www.instagram.com/usairguitar/Lt. Facemelter World Championship: https://www.youtube.com/watch?v=cMRWGzVYJkARandy Diablo: https://www.youtube.com/watch?v=Yt4WwI3c0rs

MacPaw's Maria Polishchuk, Head of Business Development and  and Product Manager Pavlo Haidamak, discuss Setapp's new expansion beyond its traditional subscription model. They explain new individual app purchases, developer subscription options, AI Gateway integration, app review standards, and support for indie and vibe-coded apps. The discussion covers developer challenges such as discovery, monetization, security, and how Setapp aims to help with those factors as well as giving customers more software choices.  MacVoices is supported by Joe Kissell's Take Control Live: Taming Big Tech. Joe will spotlight the influence of today's biggest tech companies and what you can do about it. Joe will cut through the noise and deliver clear, useful guidance on privacy, security, convenience, and control. Sign up now. Show Notes: Chapters: 0:00] Introduction to Setapp's new direction[1:16] Changes coming to Setapp[2:16] AI Gateway for developers[3:06] What AI Gateway means for subscribers[4:27] Bring-your-own-key options[5:37] Why Setapp is adding individual app purchases[7:26] Managing subscriptions and purchases in one place[8:13] Distribution challenges for indie developers[10:03] App review, safety, and quality standards[12:31] Vibe-coded apps and commercial readiness[14:50] Marketing and discovery for new developers[17:25] AI Gateway's role in reducing developer friction[19:01] Distribution across Setapp, App Store, and developer sites[21:39] Subscription and lifetime license options[23:10] UX guidance and support for developers[25:30] Supporting both customers and developers[28:33] Revenue share and developer fees[29:20] Whether apps might leave the membership model[30:51] Curation and app quality in the expanded marketplace[34:37] Membership continuity and upcoming trials[35:43] Advice for aspiring developers[37:38] Closing thoughts and developer call-to-action Guests: Maria Polishchuk is the Head of Business Development for MacPaw. Pavlo Haidamak is Product Manager at MacPaw. Support:      Become a MacVoices Patron on Patreon     http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:     http://macvoices.com      Twitter:     http://www.twitter.com/chuckjoiner     http://www.twitter.com/macvoices      Mastodon:     https://mastodon.cloud/@chuckjoiner      Facebook:     http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:     http://www.facebook.com/macvoices/      MacVoices Group on Facebook:     http://www.facebook.com/groups/macvoice      LinkedIn:     https://www.linkedin.com/in/chuckjoiner/      Instagram:     https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes     Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Google I/O 2026 happened. And a few things they announced will actually change how you work as a designer. In this episode I break down the 7 that matter most — no fluff, just the stuff that's relevant for UX and product designers right now.  IN THIS EPISODE → Google Stitch — the free AI design tool that made Figma's stock drop 9% in one day→ Material 3 Expressive — Android's biggest redesign in a decade, now production default→ Google Pics — finally an AI image tool where you can change one thing without regenerating everything→ Google Flow + Veo 3 — AI video that's actually useful for design content→ Android XR Glasses — shipping this fall, and the design conventions are still being written→ NotebookLM + Workspace Studio — automated UX research workflows that actually work→ Agentic UX — why designing for screens is no longer enough  Resources:Google Stitch → stitch.withgoogle.comMaterial 3 Figma Kit → figma.com/community/file/1035203688168086460Google Flow + Veo 3 → labs.google/fx/tools/flowVeo 3 in AI Studio → aistudio.google.com/models/veo-3Android XR Design Docs → developer.android.com/design/ui/xrNotebookLM → notebooklm.google.comWorkspace Studio → studio.workspace.google.comAll I/O 2026 announcements → blog.google/innovation-and-ai/technology/developers-tools/google-io-2026-collection/AI for Designers: 5-week Bootcamp

MacPaw's Maria Polishchuk, Head of Business Development and  and Product Manager Pavlo Haidamak, discuss Setapp's new expansion beyond its traditional subscription model. They explain new individual app purchases, developer subscription options, AI Gateway integration, app review standards, and support for indie and vibe-coded apps. The discussion covers developer challenges such as discovery, monetization, security, and how Setapp aims to help with those factors as well as giving customers more software choices.  MacVoices is supported by Joe Kissell's Take Control Live: Taming Big Tech. Joe will spotlight the influence of today's biggest tech companies and what you can do about it. Joe will cut through the noise and deliver clear, useful guidance on privacy, security, convenience, and control. Sign up now. Show Notes: Chapters: 0:00] Introduction to Setapp's new direction [1:16] Changes coming to Setapp [2:16] AI Gateway for developers [3:06] What AI Gateway means for subscribers [4:27] Bring-your-own-key options [5:37] Why Setapp is adding individual app purchases [7:26] Managing subscriptions and purchases in one place [8:13] Distribution challenges for indie developers [10:03] App review, safety, and quality standards [12:31] Vibe-coded apps and commercial readiness [14:50] Marketing and discovery for new developers [17:25] AI Gateway's role in reducing developer friction [19:01] Distribution across Setapp, App Store, and developer sites [21:39] Subscription and lifetime license options [23:10] UX guidance and support for developers [25:30] Supporting both customers and developers [28:33] Revenue share and developer fees [29:20] Whether apps might leave the membership model [30:51] Curation and app quality in the expanded marketplace [34:37] Membership continuity and upcoming trials [35:43] Advice for aspiring developers [37:38] Closing thoughts and developer call-to-action Guests: Maria Polishchuk is the Head of Business Development for MacPaw. Pavlo Haidamak is Product Manager at MacPaw. Support:      Become a MacVoices Patron on Patreon      http://patreon.com/macvoices      Enjoy this episode? Make a one-time donation with PayPal Connect:      Web:      http://macvoices.com      Twitter:      http://www.twitter.com/chuckjoiner      http://www.twitter.com/macvoices      Mastodon:      https://mastodon.cloud/@chuckjoiner      Facebook:      http://www.facebook.com/chuck.joiner      MacVoices Page on Facebook:      http://www.facebook.com/macvoices/      MacVoices Group on Facebook:      http://www.facebook.com/groups/macvoice      LinkedIn:      https://www.linkedin.com/in/chuckjoiner/      Instagram:      https://www.instagram.com/chuckjoiner/ Subscribe:      Audio in iTunes      Video in iTunes      Subscribe manually via iTunes or any podcatcher:      Audio: http://www.macvoices.com/rss/macvoicesrss      Video: http://www.macvoices.com/rss/macvoicesvideorss

Most of the organizations I work with are obsessed with the top of the funnel. Ads, SEO, social media, the next campaign, the next traffic spike. The marketing team has dashboards full of acquisition metrics, and the design team usually gets drafted in to support that effort. New landing pages, better hero sections, smoother sign-up flows. That's all fine as far as it goes. I've written an entire email course on campaign landing pages because I genuinely believe most of them are leaking conversions like a colander. But it does mean something important keeps getting ignored. Most organizations have no cohesive strategy at all for retention and upselling. They pour effort into getting the customer through the door, then more or less forget about them once they're inside. The numbers nobody is acting on This is strange when you stop and think about it. The economics of retention have been well known for years. Acquiring a new customer typically costs around five times more than keeping an existing one. Cross-selling or upselling to an existing customer costs roughly 24% of what it takes to win the same revenue from a new one. You don't need to convince someone who's already bought from you. You just have to not screw it up. Retention falls between the cracks So why does retention keep slipping through? In my experience, it's because nobody really owns it. Every other part of the customer journey has a clear home. Acquisition belongs to marketing. Onboarding sometimes sits with product. Support lives in customer success. Renewals end up with sales. Retention falls into the gaps between all of them, which is a polite way of saying it falls on the floor. A real opportunity for UX This is where I think UX has a genuine opportunity. Not just to help with retention, but to own it. To plant our flag and say this is our patch. I know that sounds like more work for a profession that's already stretched thin. But hear me out. UX has a chronic problem with how it's perceived inside organizations. We're seen as the people who make screens look nice. Helpful, but not strategic. The reason for that perception is partly our own fault. We've spent years talking about users when senior leaders are thinking about revenue. We've reported back on usability scores when the board is looking at MRR and churn. Nobody at the top of an organization wakes up worrying about whether the user's mental model matches the interface. They worry about lifetime customer value. They worry about monthly recurring revenue. They worry, sometimes very loudly, about churn going in the wrong direction. And yet plenty of businesses worry about those numbers without ever actively tracking them. Nobody is responsible for measuring them, so they sit in the background as a vague anxiety rather than a managed metric. If the UX team picked up that responsibility, and started tying our work to those numbers, our standing inside the business would change dramatically. We'd stop being the screen-prettifying team and start being the team that protects revenue. That's a very different conversation to have with a CFO. Why retention is a UX problem in disguise The other reason retention is such a good fit for UX is that the levers are largely ours already. Customers usually leave because something in the experience disappointed them. They couldn't find what they needed. The product didn't deliver what they expected. Support was a maze. The onboarding fizzled out before the value clicked. Every one of those is a UX problem dressed up as a business problem. The same goes for upselling. Customers buy more from companies that have nurtured them properly, where the experience has built trust over time. You can't bolt that on with a clever email campaign three months in. It has to be designed.

Wes and Scott talk about whether AI can actually create good design, or if it just remixes the same patterns over and over. They dig into AI-generated UX, design systems, YouTube thumbnails, Google's design.md spec, programmatic design, and the tools designers are actually using today. Show Notes 00:00 Welcome to Syntax! 03:20 Can AI actually make you creative? 08:52 Why AI-generated YouTube thumbnails all look the same 10:34 Can good design be extrapolated from patterns? 13:46 Google's design.md and AI steering documents 16:57 Can AI make good UX? 19:37 Brought to you by Sentry.io 21:03 Can good design be programmatic? 23:57 Can AI optimize design for outcomes and conversions? 27:40 Should designers use AI to enhance their work? 32:41 The AI design tools people are actually using Hit us up on Socials! Syntax: X Instagram Tiktok LinkedIn Threads Wes: X Instagram Tiktok LinkedIn Threads Scott: X Instagram Tiktok LinkedIn Threads Randy: X Instagram YouTube Threads

The Great Talent Redistribution: Where is Talent Actually Going in 2026 and beyond?  Is the start-up compensation model broken? How about big Big Tech? How about non-tech small & medium businesses? What is happening to talent, going forward? This and many other topics in this episode of Tech Deciphered. Navigation: Intro The Broken Contract? The Great Unbundling The Three (?) Destinations Alternative Cap Tables, Alternative Compensation Models Investor Landscape Fragmentation Operator Playbook and Predictions Conclusion Our co-hosts: Bertrand Schmitt, Entrepreneur in Residence at Red River West, co-founder of App Annie / Data.ai, business angel, advisor to startups and VC funds, @bschmitt Nuno Goncalves Pedro, Investor, Managing Partner, Founder at Chamaeleon, @ngpedro Our show: Tech DECIPHERED brings you the Entrepreneur and Investor views on Big Tech, VC and Start-up news, opinion pieces and research. We decipher their meaning, and add inside knowledge and context. Being nerds, we also discuss the latest gadgets and pop culture news Subscribe To Our Podcast Nuno Goncalves Pedro Introduction Welcome to episode 77 of Tech Deciphered. This episode will focus on the great talent redistribution. Where’s talent actually going in 2026 and beyond? The Silicon Valley deal of the last 30 years, very low salary, stock options, you will either sell for a ton of money or IPO, and everyone gets rich, is seemingly broken. Or is it really? The dominant narrative says the tech middle class is dying. We disagree. There is obviously a lot of stuff going on whereby big tech is partially barbelling. There’s a superstar concentration on the top. There’s a bit of a seemingly allowing of the belly. We’ll come back to that. We don’t quite believe that is totally true. There’s a collapse at entry level. The belly is migrating into three, potentially even more, very different destinations: AI native startups, human-verified premium businesses, and the read the industrialized middle of the S&P 500 and SMB world. Each has its own cap table, each will have its own compensation model, and each will have its own investor profile. In some ways, this is the third episode in our Reset trilogy. We started with episode 75 on the SaaS-apocalypse. We talked about the great private capital reset in episode 76, and now we talk about talent redistributions. Bertrand, exciting times, not always positive times.   Bertrand Schmitt Yeah, it’s exciting times because it’s a time of change. Of course, we have the doomsayers. If you listen to Dario Amodei of Anthropic, every white-collar job on Earth is going to disappear. I think I strongly disagree, and I suppose you too as well, we strongly disagree. It’s going to be more of a redistribution. If you look at the history of technology, this is what always happened. We forget how many jobs have disappeared over the past 150 years. We move from a time of 150 years ago. People were mostly in agriculture. Then you had a lot of weird jobs that disappeared from people transporting water to people bringing ice from the pools to people doing the job of computers. People forget that computer was a title given to human beings. We’re doing calculations. Then, of course, secretory jobs in the ’80s, ’90s, where suddenly anyone can type using a word processor, the rise of Excel, that sort of stuff. Many things have changed. Some jobs have indeed disappeared. Some jobs have totally transformed. Where you do these jobs have changed. I think we are at a similar stage where, thanks to AI, and I would say for now, or at least the rise of AI coding, there is a dramatic change happening. I don’t think it means that people will be without a job. It just means, from my perspective, that jobs are changing. You are not just doing a lowly coding level task that actually indeed could be replaced, but you are going to have more of builder type of mindset, a product manager type of mindset going forward. We also expect that the distribution of jobs, depending on the type of business, will be quite different.   Nuno Goncalves Pedro The Broken Contract? Maybe let’s reset a little bit to the broken contract, or if it’s really a broken contract. There’s been this image in technology and tech that basically you get paid very little to work in tech. You get a bunch of stock options. The earlier you are in the company, the higher the level of stock option grants you get. Then you make a ton of money at some point because the company will either sell or IPO, and that’s heard of it. Obviously, there’s a lot of movements happening right now that are changing how these dynamics work. The first part is obviously AI, and in some ways, AI is shrinking companies. It’s not unheard of that companies with as little as four or five people reach 50 million in ARR. There’s companies with one person that have gotten bought for hundreds of millions of dollars or billion of dollars. Obviously, things are moving very, very fast, and therefore, there isn’t a large employee cap table. How would you share the upside? Would you actually give a couple of percentage points to an early employee rather than your 0.2-0.5% kind of thing for early employees? The second part is a little bit the other side of the table, which is the IPO market is seemingly in a drought. There’s not much happening in IPOs. Maybe 2026, at some point, there will be an unlock, but right now, it’s seemingly difficult to get your upside. Even if you’re an employee, you have to wait a long time. The median time of IPO has climbed over 10, 11 years, the longest in over a decade. Basically, not only you have to wait a long time as if there is an IPO drought, like we might be going through right now, when do I actually get my cash back? Unless the company gets bought, maybe there are secondary transactions along the way, maybe there’s something else. But obviously there’s a little bit of a reduction and lowering of the upside seemingly for this contract and for this place. The easy conclusion that I think many are taking is, because of all of this and all the layoffs that are happening, even in big tech, that serve the tech middle class is dying, that basically AI screwing the workers, et cetera, there’s also a lot of discussion that even it might be affecting the entry-level jobs as well. Everyone coming out of undergrad right now can’t get a job, et cetera. There’s this doomsday scenario that you’re alluding to that everything is changing. We have a slightly different perspective. We think there’s a realignment of market. In layoffs, there was a lot of layoffs that were warranted. Big tech, in particular, had actually hoarded a lot of engineering capacity over the last decade or so. There’s a little bit of a realignment that needed to happen in any case. When everyone’s saying, “Well, AI is compressing everything,” well, it’s compressing right now, but we don’t think actually it’s going to compress over time. You’ll still need engineering and science talent to come on board for you to be able to scale up. It’s not like AI is going to take care of everything and teams are going to be five people for companies that are worth a trillion dollars. That’s not happening. Today’s thesis, I think a little bit of this doomsday scenario needs to be seen with a more nuanced lens. I think that’s how we’re framing today’s episode, that there’s a bit of a nuance, there are some extremes happening. We’re going to talk about those extremes, but ultimately, it’s not quite as simple as saying that the tech middle class is disappearing in early jobs are going to be a thing of the past.   Bertrand Schmitt At the same time, what you started with is true. I mean, that 50 million ARR company, just five people. At a bigger scale, that’s exactly the matrix for Anthropic. They have reached a stage where they are at a range of 12 million ARR per staff per employee. It’s metrics that are definitely never seen before. I don’t think any company raised to this level. Best in class, best run companies, one, two million per employees. I mean, that was your target if you can make it. We are definitely in a different game. But I think what matters at the end of the day, and that’s what we’re arguing, is that you have to see the big pictures. Yes, some positions might disappear inside some companies, but some other positions will be created in other companies. Usually, what people do is keep talking about the jobs who disappear and not looking at the bigger picture of jobs that are being created as well. What is true, and I think you alluded to that, is that the big tech the past 10, 15 years had some strategy of hoarding talent in a war where having the best talented people will make the difference in numbers, will make the difference between winning or losing. The Google of the world, the Microsoft of the world, the Amazon of the world, they were hoarding talent. They would try to make sure that they might not have such needs in talented number of people. But if they have the talent, it means their competitors didn’t have the talent. It means that the startup trying to reach scale couldn’t pay the giant salaries that the Google of the world were paying. There was definitely some hoarding. But it went so far in the 2020, 2021, that I think since then there has been a coming back to normal. There is also now in 2026, the recognition that it’s not true anymore. Yes, talent can be very valuable, but there is now a bigger and bigger gap between the extremely talented versus the rest that are merely talented because of AI. AI is able to replace at scale your software engineers, your software managers. I would say it’s quite new. I don’t think it was true a year ago. We’re really talking about a recent dramatic change in what can be achieved thanks to AI. We can see most of the big AI companies are moving to coding. It was started by Anthropic as a trend, OpenAI has followed through. Obviously, the Cursor of the world existed before, but they were not as successful. All the Chinese open-source models are moving very fast to coding optimization the past few weeks. It’s quite an incredible change. I think there is that dramatic change, recognition that coding can be done differently. As a result, we are going to see change in the distribution of jobs. I think it will start from the top because we see the news of the big Google, Microsoft, Amazon, and others who used to hold talented software developers to a change in realization that no, we actually need to invest in AI. We need to invest in compute because compute is going to do the job of most of these people. Therefore, we can’t pay for both at the same time, even us with all our money, we cannot. Wall Street is not going to let us do that. They start by removing a lot of position. I think we see that accelerating, quite frankly. We have only seen the beginning, but in the next 2 years, we see a dramatic shift. But I think my position, I guess yours, and you know as well, is that there will be a lot more opportunities created as well, probably by also entities.   Nuno Goncalves Pedro The Great Unbundling Yeah, there will be more opportunities created. The hoarding is just taken also a little bit of a different view. To your point, there’s hoarding of resources, compute, et cetera. But there’s also hoarding of top talent. We are seeing people getting paid, packages all in that could run up to 100 million, in some cases even over 100 million over several years. This is unheard of. I mean, an officer of Meta would make, I don’t know, maybe 20, 25 million a year. It’s like now there are people that are on the top end of AI researchers that are getting paid around that amount just to join some of these companies. There’s a little bit of a different hoarding. It’s very selective hoarding of certain talent. We’ve seen some acqui-hires. We’ve talked about it in previous episodes that are just literally about getting one or two people specifically to come on board. Alexander Wang, again, going to Meta to lead their intelligence labs there. I feel, I don’t know what you feel, but I feel this is a transition moment where there is overpaying for certain talent on the top of the market. At some point, this will stabilize. You can’t keep paying people 100 million over 4 years or something like that across the board. To your point, a lot of this is actually going to scale up quickly also on the AI side. There’s a little bit of a different hoarding happening on the top end, not just the resources, but also of people, which seems to give further this notion of barbell, that there’s two extremes, the haves and have-nots, the super-duper talented people that get paid a ton of money, tens of millions of dollars a year at the very least. Then the emptying of the middle where there’s a ton of tech layoffs going on in some ways, the belly, as they would call it, is being expelled. The middle market, the managers are being fired because there’s nothing to manage. There’s a lot of positions going away. In some cases, you might keep some of the more junior talent, but with a little bit of experience. But even the talent coming out of colleges is not getting hired either. It’s a little bit of a weird thing where there’s hoarding at the top, there’s an emptying of the belly, the middle, and then the early, early, early is also not getting recruited. It’s like what gives? How is this going to look in the future? I agree fully with you, Bertrand, that there’s a migration of this talent, not only to other companies, but also to other jobs. There will be new jobs that will emerge out of this. The DevOps, dev tools market didn’t exist until maybe 20 years ago at scale, and it got created. In some ways, we’re seeing there will be new markets, there will be new roles and new jobs that will be created around engineering teams going forward. We can’t anticipate all of them. But basically, the emptying of the belly is true as it’s happening right now. The low hiring on the early and the top end, getting tons of money. We think this is a transition to something else. There’s the hoarding of engineering in general is coming to an end at momentum. Now it’s time to rightsize teams, to get the right at the table, et cetera, and start figuring out what works and what doesn’t work. We’ve already had some horror stories coming out even from Amazon where they were breaking systems with their use of AI tools, and I’m sure it’s happening across the board. I’m on a board of a company and been tremendously affected by Meta and its algorithms, where basically because of advertising, there have been people served with ads for this specific company where the ad doesn’t match the company, so basic stuff like that. It’s been actually very, very difficult because in some ways, the company goes back to Meta. It’s like, “Hey, dudes, you guys are serving ads that are not even our ads with our copyright and stuff. How does this work?” They’re like, “Oh, it’s AI.” It’s like, “Well, it’s AI but can you give me my money back?” They’re like, “No, we won’t give you money back.” This creates huge issues for companies, for example, that are very dependent on advertising, which obviously there’s a lot of industries that are. They’re actually in production systems at scale. Meta is, I think now, the largest digital advertising in the world. I think they outgrew Google in one of the last quarters. Basically, this has a tremendous effect that systems that are in production at scale are getting inputs and changes driven by AI tooling, and somehow nobody can say what the hell is happening. Again, there will be a reckoning, there will be a redistribution, there will be a rightsizing of teams and an adequacy of teams going forward. I personally think this is a transition period.   Bertrand Schmitt I think we are moving from hoarding or software engineering to hoarding the top of the top scientists in AI and hoarding of GPUs, GPUs/data center. For me, it was quite interesting to see the deal of Cursor with xAI, where basically they couldn’t get access to computing resources to run their model. But xAI had, I forgot the exact numbers, but close to half a million GPUs that no one, I mean, “no one was using” because their services are not so successful yet in terms of AI chatbot and the like. Basically, suddenly they are like, “You know what? We control access to resource.” But the new resource is, again, a mix of extremely talented AI engineering or AI scientists versus GPUs/data center. There is this race of controlling boss and everything else is going to be collateral damage. Some examples, I think, are quite interesting. You talk about some example of Amazon, even some production issues. I remember reading a quick post-mortem of one of the issues, and the conclusion was it was AI, definitely part of the issue. But the other part of the issue was AI used by junior engineers. For me, it’s interesting. It shows that actually junior plus AI is actually a danger zone. That’s why many companies are going to be way more careful. “Why do we need the junior people if they are just playing with fire?” I think we go back to that situation of barbell, as you call it. The top talents are extremely valuable because they know how a production system works. They are here to develop better AI systems. But the junior guys playing with fires, yeah, maybe it’s cute in startups, but in a big time production environment, a different story.   Nuno Goncalves Pedro There will be a barbell with top-end talent super-mega paid and then mid-level talent that is individual contributors still doing a lot of great work, et cetera. Along the way, a lot of emptying of entry, a lot of emptying of the middle. Where does the talent go? The Three (?) Destinations I think we could say there’s three destinations for this talent. Maybe there’s four, maybe there’s more. Three that we can immediately identify. One is the AI native startup piece, where we have smaller teams that potentially get to a lot of revenue or top line over time, and where the Series Seed is the primary round, where we’re seeing Series Seed being raised of tens of millions of dollars, actually even hundreds of millions of dollars in Series Seed. In some ways, the stars there can get incredible compensations in terms of stock. They will stay for private and selling in secondaries later down the road because there’s so much capital at the table. Actually, in some ways, salaries are very high as well in some of these companies. It’s not like you’re trading off anything. You can get paid a lot of money. If your company at Series Seed for 10 or 15 employees has raised 50-$100 million, you can pay great salaries. In some ways, this is the extreme destination. The AI native startups that can make it is the extreme destination. Now, there aren’t a ton of AI native startups that can raise 50-100 million to 400 million in Series Seed, just to be clear. There’s a handful of hot deals in that space, but that’s one clear destination for top-end talent going through that. In that market, I think that’s one of the destinations. The second one is more what we would call the human-verified premium. It’s more of a play of companies that has still the need of human in the loop, either in terms of development, also in terms of activity, either because go-to markets are very intensive, and so therefore you need to have sales forces, partnership teams, et cetera. Or on the engineering side, it needs to have a lot of customization, integration. Companies are not just going to the, “Oh, you can come in and just apply your AI tooling and somehow magically the systems all work.” there needs to be quite a lot of and work and high touch work in getting stuff done. A significant part of that market, I’m not sure, is super VC investible. Maybe it’s a hybrid of private equity in VC, more PE style in many cases. It’s a PE-hold, sell to someone else market. As we’ve discussed in a previous episode on the SaaS-apocalypse, that hasn’t quite worked out for PEs. Question marks on how that human-verified premium market is going to evolve. But obviously, there’s a lot of work still to be done there, even on the engineering and science side. That’s the second potential destination. Then the third more aggressive destination is the reindustrialized middle companies that have a lot of specificity in going after small and medium businesses, local or regional affectations like ERPs or CRMs for specific markets, et cetera. Those are the three natural destinations. I would add the fourth, which is big tech. I mean, big tech doesn’t magically disappear, and I don’t think it fits neatly into any of these three markets. In some ways, big tech is now looking at the extreme for top talent a little bit like the AI native startup because they can pay. They can pay the 100 million every four years, et cetera. I do think it will typify taxonomically into a fourth type emerging, where, as we discussed, you’ll have top-end individual contributor talent. You’ll have the absolute top-end of the market because they can get paid. Then you’ll start having the emergence of earlier talent that is highly capable, et cetera. That will go back to a bit of a normal distribution in terms of talent on big tech. For me, those are the four destinations that I would put at the table.   Bertrand Schmitt For me, big tech moving to big tech, I’m not sure if it’s really a destination. I mean, yes, in some ways it’s a reshuffle between the big tech companies. They are definitely all fighting in some ways for some of the same people. I can see that dramatic shift where big tech has to remove a lot of positions in order to replace by AI. Again, I think at this stage, it’s mostly driven by AI coding. We are still at the beginning because this is brand-new phenomenon that AI coding is so successful at its task. I don’t think it was true even 6 months ago. Some companies, take Anthropic, take OpenAI, are definitely there or close to be there in terms of no more writing of a single line of code by a human, zero. This is, again, 6, 12 months ago. Not true. But now it’s true in a few top companies. Take OpenClaw as well, most successful GitHub project of all time, not a single line written by its author. It would have been impossible. We’re talking about hundreds of thousands of line of code in a few months. It’s impossible to achieve that manually. If you look at the other big tech companies, the Google of the world, the Meta of the world, the Microsoft of the world, they are absolutely not there yet. They are going to be there because they have no choice. It’s you either go fast there or you die. You are not going to be able to survive competitors that are shipping 10, 50, 100 times faster than you are shipping. It’s a life and death situation. All the big tech companies are going to move, and mark my word, in the next 2 years from 10, 20% of AI-written code to 100%. During that transition, the next 2 years max, if you don’t do it in 2 years, you are going to die. Your stock price is going to crash. Then, of course, you will have to make changes. You will have to invest more in GPUs. You will have to invest less in your standard typical software engineer employees. Like you, I’m very optimistic that there are new buckets. AI-native startups definitely will be there. It will be transformational. Human-verified premium, very interesting category. In a way, it will be businesses that are inevitably less scalable through AI, and there is definitely a spot from there. I think the biggest would be the reindustrialized middle SMBs. Most of S&P 500 type of business are going to dramatically offer new software opportunities, new opportunity story to talented software employees because they will need to implement AI in everything they do. They will do it. They will need people who have software engineering knowledge in order to implement these systems. For them, what’s changing dramatically really is that thanks to much cheaper cost as thanks to AI coding, a lot of software projects that they couldn’t afford to do, that they couldn’t imagine doing by themselves, they are able to do it. They will invest in a lot more software capabilities than ever before. That will be a big game changer. And software, very tuned to their business model. There might be less buying of your traditional off-the-shelf SAF software and a lot more investment in a highly custom software by their own team, assisted with AI. I think that would be the part that is most transformed by all of this in a positive way.   Nuno Goncalves Pedro Alternative Cap Tables, Alternative Compensation Models This will lead to a very fundamental shift, right back to the broken contract. What does the new contract look like? It looks like alternative cap tables depending on which bucket are you transitioning into. If you’re going into your AI-native bucket, and you’re a top-end talent, you’re like, “Dude, I’m worth 100 million over 4 years, so just compensate me accordingly with a mix of options in the company plus my salary.” If you’re top 1%, you can probably get away with salaries that you’d get anyway at mid-level from 300K, 400K and above, and you can get actually a lot of options already in the company. A lot of this is happening right now. There’s a premium for AI, we know that. There’s a premium for AI at the top end of AI researching, in particular on companies that are doing hardcore research on staff AI engineers, so companies that require actual AI engineering. There is a premium that is significant. It could be as high as 18% over non-AI peers, and it widens actually with seniority, shockingly enough. This is more of an average than anything else. Now, for me, and it’s for debate, but the perspective is this extreme comp will need to compress at some point. There will still be the haves and have-nots paid much better than the have-nots, so to speak, but there will be a compression. The variance can’t be the variance we’re seeing today for absolute top-end talent. That said, there will be variants. We know that big tech for over a decade, decade and a half, for example, in the Bay Area, has been paying a lot of money for director and above levels that used to be the VPs, so a million, a million and a half a year, all in compensations. It’s not unheard of that this will actually increase after this stage. That said, I do think that the compensation extreme that we’re in will get diluted down the middle. It will actually come down at some point. It’s part of where we are today. As we know, it is still a bubble.   Bertrand Schmitt Yeah, it’s an interesting point. I think it’s possible. At the same time, that compression coming 2, 3, 5 years. At the same time, we have examples where there is no such compression. Take the top sports players in the world, golfing, basketball, NBA players. There has not really been any compression at all. For me, it’s interesting. If you look at the big tech companies, each being one of this top NBA team, why would such compression happen? As long as they are competing against each other and generating plenty of cash, I think there will be some fair question. We will see. I don’t have a strong opinion, but for me, it’s not a total given.   Nuno Goncalves Pedro For me, the shocking thing is the faster AI becomes better, the more that compression will happen, because at some point, it’s like, why do you need the top talent as well? I don’t know. It feels like you’re trying to evolve a system that’s there to replace you. It’s like, “Okay, I’m getting paid 100 million over the next 4 years”, and then you develop something that’s so good that replaces you. Thank you. That’s cool.   Bertrand Schmitt That’s a total possibility, yes, because we are in that very unusual market where the game is to only replace yourself and people like yourself. At some point, it is a possibility, I guess this one. Right now, we’re talking about replacing your “average software talent”. In 2 years, could we absolutely replace the absolute best top experts in the world? Probably. I think it’s just that at some point we’ll be reaching the stage where we strictly have no control anymore on our AI systems because no human is able to challenge and understand what’s produced. It’s not just a question of scale anymore. We’re talking about a gap in IQ, basically.   Nuno Goncalves Pedro Exactly. It will happen at some point in history. We don’t know exactly when. For the second bucket, the human-verified premium bucket, it’s difficult to see how an HVAC company or an HVAC roll-up of scale or a regional health care platform or high touch go-to-market, B2B, SaaS play, et cetera, for a vertical will compete. At the same end, they have to compete and they will compete. There will be more and more jobs, we believe, for engineering talent in these companies. They’ll have to be more and more AI-enabled themselves. The cash salaries will have to be competitive within the local markets, not necessarily with Silicon Valley. There will be potentially profit sharing and revenue sharing and actual dividends played at the table. The model there on the cap table needs to change a little bit, needs to be probably propped up more on salary and on some way of doing profit sharing or actually having dividends paid to employees and figuring out employee to equity in a more aggressive manner. This is the market that probably was already very attacked, so to speak, or let’s say, occupied by private equity firms. There are still obviously part of that model that would work well. There needs to be a fundamental shift, certainly on the quantum of salary compensation, dividend compensation, profit sharing, and all of that. Then last but not the least, obviously, we had the bucket around basically the reindustrialization of the middle, so everything else, which will take most of the belly that we were talking about. This is probably a poor analogy, the belly fat. It’s not belly fat, it’s people that were doing their jobs that now are getting disrupted. In some ways, that bucket will absorb a lot of that belly, will absorb a lot of talent. The small and medium businesses that Bertrand was saying will need to crucially become more AI, software-enabled by themselves, even with some core stuff and underpinnings that actually might not even require AI in terms of infrastructure platforms. There, you need to get properly paid. Again, how many people do you need in your engineering team if you’re a small business? Probably not a lot. It’s maybe you need one or two people and that’s it. They’ll need to be very nicely paid because they’re running the stuff in the rails. This is probably a market that over time, as AI gets more and more competent, will also be disrupted, but let’s not talk about the disruption to the disruption because otherwise, we’ll stay here the whole day, but certainly a market that has a lot of potential to shift and to absorb a lot of the moments that we’re seeing in terms of layoffs happening in the US in particular.   Bertrand Schmitt This category was a category that historically could not compete with Silicon Valley salaries, could not attract the most talented engineers. It’s not a category that didn’t want to bring these people on board. It’s a category that just couldn’t afford to bring this talent on board, typically. I think it would be a dramatic shift for them when suddenly there are opportunities to hire these people. There is an opportunity to hire them at maybe more reasonable prices from this company’s perspective. You talk about small companies, the great thing is that there are millions of small companies at some point. I think things could be truly transformational. Of course, some of these engineers, software engineers, might decide to become entrepreneurs on their own. Solo entrepreneurs, small businesses, build their own, easier to build their own product to market so to serve other companies. I think there will be quite dramatic changes because not all companies will be disrupted by AI as much, but not every company will benefit from improving processes, improving software through AI. At least early on, you will need this human touch to make it work inside a business. Interestingly enough, I was hearing that some companies like IBM were hiring more younger people to do the work of going to the client, understand their needs, propose implementation plans. That forward deployed engineer, those positions, I think there will be more and more available.   Nuno Goncalves Pedro Investor Landscape Fragmentation What happens to investor into the landscape? We already had an episode, the previous one, Episode 76, where we talked quite a lot about the big capital reset on the private equity and private reset, including venture capital. Just maybe to summarize, how does it align with the buckets that we’ve just been discussing? I think the AI-native bucket clearly is going to be the key bucket. There, we’re going to see two movements. One movement, which is the mega funds, as we discussed in the last episode, are no longer just VC funds. They’re really mostly multi-asset private equity funds, maybe even private equity hedge funds in some cases. Those funds will be all over the high-growth AI-native companies and will be pouring money into companies that are scaling really, really quickly. The early stage, so to speak, VCs, the actual VCs that will stay in the market will be the guys probably identifying the next big wave of AI-native companies. We’ve discussed that as well in the last episode, some research that we did at Chamaeleon that I shared in episode 76. We’ll see that as emerging. What happens to the second bucket, the bucket around human premium, human in the loop? Likely we’ll have more and more private equity capital going into it and the large-scale VC guys, the Thrives of the world, they’ve just announced Thrive Holdings, and others going after those markets as well. It’s trying to converge into the private equity market, which aligns with the point we made in the previous episode that the VC mega funds are no longer VC, that they are private equity, multi-asset class. They’re going after a bunch of things. There’s a conversion happening from VC into private equity. It was going to happen anyway because the private equity guys were coming into VC as well and the hedge funds were coming to VC as well. There’s a convergence in the middle of very, very large funds and large assets under management happening to go after some of these opportunities, certainly in Bucket B. Then this Bucket C, so to speak, the bucket of reindustrialization, as Bertrand was saying, very well, likely will be self-funded for a significant period of time. Will self-fund with their own cash flow. Doesn’t need to have a ton of capital intensity. Maybe you need one or two engineers to do stuff, but that’s it. You don’t need tons of capital. You didn’t need in the past, you won’t need it today. Not sure there’s going to be a fundamental shift to that market.   Bertrand Schmitt Yes, I certainly, overall, agree with you. That last pocket, probably little change to the capital and capital structure. Again, I see that as the biggest opportunity for a lot of people who might be less needed by big tech and also top tech companies. What is sure for the first category, the high native startups? I would say more overall in the VC ecosystem, there is no space left for SaaS anymore. I think SaaS, as we used to know it, is dead in some ways in the sense that new pure SaaS software startup are definitely out. Existing ones that are critical to run your infrastructure, the Salesforce of the world, I think they’re in a decent spot. Actually, interestingly, they changed their pricing model to now sell to AI agents, not just per seat. There is a change in pricing there. But this day and age of funding a pure SaaS software startup through VC money, no way. VC money going to AI-native startups, AI-focused startups, to biotech, to deep tech, to defense tech, yes. SaaS as a fundable category early on, I think it’s over.   Nuno Goncalves Pedro I’m a bit more nuanced as we shared in The SaaS Apocalypse episode. We can call it whatever we call. It’s applied AI is the new SaaS thing. Horizontal applied AI is the new horizontal SaaS or vertical applied AI is the new vertical SaaS. I agree in common with your point that very specific point solutions around SaaS will be disrupted by nature with all the easy stuff you can do today with AI. It will take a while. This is not something that’s going to happen this year. It’s going to happen over the next years. Maybe interesting to also talk about the exit markets. I think the IPO market, as we’ve also discussed in the past, there is, in my view, going to be a reopening of the IPO market, I think this year, probably later in the year, third or fourth quarter. The median time to IPO actually is going to be really weird because there’s going to be potentially some companies in the current landscape, bubble or no bubble, that are going to IPO, the OpenAIs of the world, Anthropics of the world, et cetera. There will be more and more aggression, I think, on M&A. Big tech has already shown it, that they want to buy into markets. Large non-tech companies have also started doing acquisitions in space. To prop up their IT teams, their engineering teams with this world that we’ve also discussed in previous episodes that I’m going to own my own engineering stack for now. As we see, that normally doesn’t withstand the test of time. At some point it will get unbundled and served by someone else. Then finally, the secondary market is very hot right now. Obviously, there’s heavy discounting on some areas, high premiums on others. The exit market, strangely enough, is going to be propped up, in my opinion, over the next year to 2 years, dramatically. Then we’ll see if there’s a big reckoning around the bubble that we are clearly in or not, if it’s a soft landing or hard landing. Definitely, there’s going to be a lot of exit paths over the next year to 2 years.   Bertrand Schmitt Concerning the “bubble”, I have two perspectives on this. One is it’s a bubble in the sense that money is going to a lot of players and some players are going to blow it up. There will be a concentration of players at the end, like it usually happens. If you look at, for instance, long time ago, the railway revolution, there was that intense influx of capital. At the end of the day, there was a dramatic change in transportation in the US and a complete railway system put in place. Yes, some investors lost money, some companies went bankrupt, but the transformation was fully real. There were a lot of top leaders at the end of this revolution. The change after that only happened, we guess, post-World War II, with the construction of the highway system and the rise of airlines and plane transportation overall. Here I feel it’s similar in the sense that, yes, there is a lot of money going in. Some players are going to blow it. They will misuse the money in different ways, but that’s part of dynamic allocation of capital. Of course, you make mistakes. That’s what happens. At the same time, I feel it’s a similar level in the sense of this is a dramatic change in the US infrastructure. This buildup of AI data centers filled with GPUs, integrated at scale with some of the best software in the world and running it, supported by a dramatic shift in energy infrastructure. This is for me similar to the Railroad Revolution. Some players might not own the data center they build because they didn’t manage well their debt, they didn’t manage to run proper software. You know what? They will get acquired by somebody else. I think we are at this level of fundamental transformation. The fact that in a matter of maybe 2 years, the move from 0% of code written by AI to 100 % written by AI is an insane dramatic shift. Just to be clear, when you move from manually coded to AI coded, we’re talking about a 100X difference in terms of speed at similar, if not better level of quality. The shift is dramatic, and on top of it, you don’t pay salaries anymore to achieve that. You pay CapEx, and with GPUs and OpEx with electricity. It’s a very big shift, positive shift in business model. New unions, no management over it, AI working 24/7. Personally, I think for me, bubble has a bad connotation in the sense of it was all for a waste. I don’t think it’s all for a waste. I think we are witnessing a dramatic revolution of our lifetimes, quite frankly, bigger than SaaS, bigger than mobile. From my perspective, it’s exciting times.   Nuno Goncalves Pedro Operator Playbook and Predictions Let’s move to if you are this person, what would you do in the future? Let’s start with two extremes and go from there. One is you’re non-tech, so you’re not an engineer, et cetera. You’re trying to figure out, how do I scale my activity? Maybe physical labor is where I want to go. It’s not, “Go west” anymore. Definitely not necessarily go west. You should go to, I guess, the states that have no sales tax with very cheap energy because that’s where the data centers are being built if you want to be in that market. Obviously, there’s a lot of stuff that needs to be done: HVAC, electricity work, et cetera. Don’t go west. Go low sales taxes, low cost of energy. That’s likely where the data centers are being built. You probably can just follow. There’s, I’m sure, some way for you to follow where the data centers are being built, but that’s next, I think on that extreme of the table. The other extreme of the table, let’s say you are super ambitious, maybe you’re no longer an engineer, but you’re a product manager in your prompt engineering. You could do prompt engineering all day long. You’re 28, 29-year-old superstar. What do you go and do? Likely either you start your own thing, start your own company because you’re so good at prompt engineering, you probably can do a lot of the code yourself, particularly if you have an engineering background, or you go and join very early an AI-native startup that you think has the chance of going through the roof, and you take a pretty good salary early on, a ton of upside on the company because guess what? Companies like that need product managers. They need people to figure out UX, UI. It’s not going to be, at least for now, yet AI figuring that out for you. Those are two extremes, just to give two of the extremes, like engineering, product management persona, and physical labor at the other extreme, non-tech, et cetera.   Bertrand Schmitt In some ways, every software engineering job is going to become the equivalent of a software engineering manager or a product manager, because suddenly you don’t have to do the coding anymore. You’re managing AI that is coding for you. Either you start to have some manager hat, but we saw the humans, so it’s a very different type of manager, obviously, or you are going to be really an empowered product manager. You’re skipping the middleman. You’re skipping the traditional engineering organization because your engineering organization is AI running and doing the work for you. I still believe that it requires some serious skills. I don’t believe in the vibe coder type of value proposition. I don’t believe in the prompt engineer becoming suddenly super incredible, able to manage that. I still think it requires some serious chops to do the best from all of this and to do it in a safe and sane way. It’s very easy to have poor taste, make mistakes. I don’t know you, but keep reading these stories on the heads of companies who lost everything because of the AI agents. That deleted stuff in production, and they had no backups or the backups weren’t deleted as well. Crazy situation. You cannot run companies like this if you let your agents running wild. You could argue it’s the early days. I would argue it that that issues would be there for a while. You need to have some engineering discipline at core in the company running the business to make sure things don’t go sideways because it would be easy for things to go sideways.   Nuno Goncalves Pedro I totally agree. If you’re thinking, Oh, should my kid go into science and engineering and computer science, et cetera? Absolutely, still, because of everything that Bertrand just said. You need to understand actually what code does and what technology does and what all of that does. That’s still a skill of the future. It’s not a skill of the past. In some ways, it’s still a skill of the future very much. Maybe let’s try two more extremes. Around the same level, the person that decided to do an AI native company bootstrapped initially, having difficulty raising a mega round, but could probably get away with raising a 2-3 million seed round, et cetera. Is that still viable? The answer is yes. There’s tremendous capital efficiency right now happening in the market still, 10 plus higher than if you were doing a SaaS company, and you were a founder in 2019 or something like that. That capital efficiency is going to reverberate. You can run a tighter team, smaller team. Actually, you don’t need that many salaries. If you’re a decent engineer as a founder or if you understand enough as a product manager to just generate that code, you can do a lot of stuff yourself, can bring in maybe one or two technical elements to the team early on as you would have done if you were bootstrapped anyway. There’s obviously a path for that. The other extreme is you’re in big tech, you’re level five, individual contributor, making a ton of money, or you were a manager, and you’re now out of a job, where do you go? You can go to a big company that is non-tech, S&P 500 company that’s non-tech, something like that. You join the company, you’ll probably get paid pretty well, maybe not as high as you were paid in big tech. There’s some stock at the table, but guess what? You’ll have probably more work-life balance than you ever did. That’s the trade-off. You’ll have a better job. On the upside, you can transform the company. You can help and be part of transforming a company from non-AI to AI-first or AI-enabled in the future, whatever BS that will look like in terms of the argumentation to the board. You can actually create tremendous productivity enhancements in a big non-tech company if you come with that background. Again, you’ll have certainly a better work-life balance, so not a bad deal, to be honest.   Bertrand Schmitt Also, to be clear, I talk a lot about AI coding because it’s truly transformational. You could argue that it’s going to be self-improving. We are in the situation of a self-improving AI that keeps improving itself thanks to automated coding. It’s a dramatic, virtuous loop. Obviously, AI is also going to improve everything else. It’s going to improve your marketing, it’s going to improve your search process, it’s going to improve your DNA. Improvements will be everywhere. It’s just that right now we are at a point in the quote-unquote revolution where there is one clear piece of the puzzle that is moving faster than the rest.   Nuno Goncalves Pedro Bertrand, the senior executives at non-tech don’t know anything about that. It could be just a great prompt engineer. That’s the only job you do. “I’m the chief marketing officer. I have someone below me that’s doing the whole work.” Nobody knows. Nobody’s the wiser, I guess. I’m being facetious, but not fully.   Bertrand Schmitt Yeah. There would be a transition period where what you described happen. I want to say, going back to AI coding, I think that the part of AI that as of today has reached a stage of limited AGI. We have reached, from my perspective, a limited type of AGI for coding. If you take coding as a discipline today, I think we reach AGI. If you go beyond coding, that’s true. If we are talking about coding, leveraging the latest LLMs: OPUS 4.7, ChatGPT 5.5, combined with Claude Code, Codex, and OpenCode for harness, I think we’ve reached AGI in the context of coding. I’m not sure everyone fully realize that and the consequence of that. I think the rest is going to come as well. We are going to see that category by category, usually categories that are more scientific in nature, where you can replicate, where you can test easily, where you can create clear success. Metrics will be the “easiest” to follow in that direction of self-improvement. I just want to highlight that this part is truly transformational, the root cause of everything we’re talking about today. At the same time, it’s coming beyond coding.   Nuno Goncalves Pedro I think it is true. There are a couple of markets where that might not hold true, which is maybe the final path. If you’re thinking of starting your own business in plumbing and in HVAC maintenance and installation, this is a pretty good time for the reasons we already said before. There’s a lot of buildup of data centers and all that stuff, but also for other reasons, because it’s an activity that won’t be disrupted by AI yet. You need them embodied AI. You need physicality to AI to do stuff like actually fixing pipes.   Bertrand Schmitt Until Optimus replace you.   Nuno Goncalves Pedro Yeah, but if we’re 3, 4 years out in terms of a lot of these optimizations that we’re talking about at the software layer, we’re 10 years plus out on embodied AI, right?   Bertrand Schmitt Oh, yeah, it’s 10 years.   Nuno Goncalves Pedro We’ll probably be optimistic as we speak. That’s a nice business. I’m thinking of starting to go into that market. If you guys are interested in listening to this, just reach out to me. What’s the angle? I think there’s a lot of stuff you can do in the buildup of some of these businesses, plumbing, HVAC, all sorts of maintenance. There are markets that are just totally messed up. Handyman market in the US is totally messed up. There’s a bunch of companies out there that try to go after it with marketplaces and stuff. I honestly just start something from scratch, a small business, and go from there.   Bertrand Schmitt Yes. They’re an interesting middle. Think about accounting firms, consulting firms. I think they are not as easy to replace, but at the same time, there is no way on what they do is not going to be dramatically changed with AI. I don’t know if it’s 50, 80, 90% of the job, but this is changing quite dramatically, would be my expectation in the coming few years. Conclusion Thanks for listening episode 77 of Tech Deciphered about that great talent redistribution. As you heard it from us, we believe there is a dramatic change in play, enabled by AI coding, and that ultimately a lot of the big tech companies are changing their employee distribution, way more focused on the top talents and bringing more GPUs. As a result, we will see a change in their staffing. Some of this change will benefit AI-focused startups, but probably more likely will benefit the bigger SMBs, the S&P 500 companies of the world that will finally be able to bring inside and afford some of the talent that were in some ways trapped by the top 5, 10, 20 software companies of the world. Thank you, Nuno.   Nuno Goncalves Pedro Thank you, Bertrand

There is no shortage of people teaching others how to do UX work. With all of the available resources, however, a gap exists. In this episode, Dr. Hood shares insights about the institution of education and the benefits of properly structured learning experiences, and explains the aforementioned gap and its impact on UXers at large.#ux#podcasts#realuxtalk#worldofux#worldoux#uxeducation#uxmaturityBookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

As a society, we've been throwing around the phrase “The kids are alright” for decades. But in the automotive landscape, is that really true? On today's episode, Derek and Jason dissect the theory that young people are getting less interested in cars and whether or not it has any validity in 2026. Before getting into the thick of it, Jason and Derek discuss the latest Porsche Taycan Sport Turismo GTS joining them in the studio. Carmudgeonation occurs, naturally. Between unintuitive infotainment and UX, lackluster interior volume, and - naturally being a current Porsche - an eye-watering sticker price of over $180K, the newest Taycan certainly leaves some ground to be desired. But not all is lost, as the updated adaptive air suspension, good looks, and the endlessly mind-bending acceleration certainly make up for lost appeal. And of course, the existence of any wagon still on sale in 2026 - let alone, a Porsche wagon, is a win regardless of its flaws. The bulk of this episode discusses youth interest in cars and how trends have changed in recent years. Most notably, the cultural shift in interest to Porsche products like the 992 GT3 RS over Lamborghini and Ferrari - why do kids fawn over cars that are inherently more commonplace and accessible? Does industry accessibility to press cars affect young tastes? Will broccoli haircuts live on forever? Some of this, and more - on today's episode of The Carmudgeon Show with Jason Cammisa and Derek Tam-Scott, driven by Hagerty. Learn more about your ad choices. Visit megaphone.fm/adchoices

For episode 730 of the BlockHash Podcast, host Brandon Zemp is joined by Stepan Uherik, CFO of Trezor.Trezor is a pioneering brand of cryptocurrency hardware wallets. Known for launching the world's first hardware wallet, Trezor provides "cold storage" solutions and physical devices that keep private keys offline to protect digital assets from online hackers, malware, and data leaks. 

Why do so many beautifully designed websites, ads and digital experiences still fail to convert? In this episode of The Digital Marketing Podcast, Daniel Rowles is joined by Kramer Reeves, CEO of EyeQuant, alongside neuroscientist Professor Peter König, one of the company's founders and a leading expert in visual attention and cognitive science. Together, they explore how neuroscience and AI are reshaping the way marketers, designers and brands understand attention. The conversation dives into the hidden mechanics behind how people actually experience digital content. From subconscious processing and visual saliency through to cognitive overload and design clarity, this episode challenges many of the assumptions marketers make about what users notice, understand and act on. The discussion also explores how AI-powered predictive attention modelling can help teams test creative assets before launch, reducing guesswork and improving performance across websites, ads, landing pages and social content. If you work in UX, creative, digital marketing or conversion optimisation, this episode offers a fascinating blend of neuroscience theory and highly practical design advice. In This Episode Why the human brain is poorly adapted to navigating modern web experiences What happens cognitively in the first few seconds after landing on a webpage Why designers often view their own work very differently from first-time users How "system one" thinking drives most user behaviour online What visual saliency means, and why it matters for conversion How cluttered creative and overloaded messaging dilute attention Why visual hierarchy, contrast and scale shape user behaviour The importance of creating a clear visual storyline through a page or ad How AI models can predict where users are most likely to look Why neuroscience is becoming increasingly important in modern marketing and UX How EyeQuant uses predictive attention modelling to help brands optimise creative before launch Why objective testing is becoming essential in an AI-generated content landscape Key Takeaways Attention is highly selective. You cannot make everything on a page the top priority simultaneously The brain processes visual information subconsciously long before conscious reasoning begins First impressions are heavily influenced by saliency and visual contrast Designers are often too familiar with their own creative to judge it objectively Reducing visual noise can significantly improve clarity and conversion potential Motion, scale and contrast naturally attract human attention because of evolutionary wiring Effective design is not just about aesthetics. It is about guiding behaviour AI-driven predictive testing can dramatically speed up optimisation workflows Clear intent and defined outcomes are becoming increasingly important inputs for creative analysis Objective attention data helps teams move beyond subjective design debates

Podcast: Industrial Cybersecurity InsiderEpisode: OT Cybersecurity: Is the Purdue Model Still Useful?Pub date: 2026-05-12Get Podcast Transcript →powered by Listen411 - fast audio-to-text and summarizationIs the Purdue Model outdated, or simply misunderstood? In this episode, Dino sits down with Ken Kully (Rockwell Automation) for a candid, practitioner-level conversation about what the Purdue Model still gets right.They discuss where it falls short in modern environments, and why “IT/OT convergence” remains more of a people-and-process challenge than a technology problem. They break down the reality on the plant floor: long-lived legacy systems, inconsistent architectures across sites, limited maintenance windows, and the operational consequences of downtime. The discussion also tackles the everyday friction points: MFA, shared operator accounts, unmanaged vendor laptops, and remote access “surprises”, and why you can't improve OT security posture without a trustworthy asset inventory and segmentation that keeps systems “in their lane.”Chapters:(00:00:00) Intro + why this Purdue conversation matters now(00:01:00) Ken's background: from process environments to OT cyber delivery readiness(00:04:00) The big question: has the Purdue Model outlived its usefulness?(00:07:00) Framework vs. strict blueprint: “Purdue enough” in real plants(00:09:00) IT/OT convergence: why it's a people + process problem (not tech)(00:12:00) The “silver tsunami” and why security UX fails on the plant floor(00:15:30) MFA, shared logins, and why “security gets in the way” still shows up(00:18:00) Legacy reality: Windows 98/7 boxes, vendor lock-in, and downtime economics(00:21:00) Discovery first: diagrams, configs, and why documentation is always missing(00:23:30) Purdue as a map: brokering traffic, one-up/one-down, and the “3.5” DMZ(00:26:00) When devices try to “escape the box”: unexpected outbound comms + exposure risk(00:28:30) Vendor/OEM access: the unmanaged laptop problem in OT(00:32:00) Asset inventory as the unlock: you can't defend what you don't know exists(00:34:00) Why IT often won't “crawl the plant,” and what that means operationally(00:36:30) Scale problem: 30 plants, 30 realities—standardize globally, execute locally(00:38:30) The SI/OEM “third leg”: why trusted integrators are key to sustainable OT security(00:40:30) Closing + crossover: continuing the discussion on Ken's OT After Hours podcastLinks And Resources:Kenneth Kully on LinkedInWant to Sponsor an episode or be a Guest? Reach out here.Industrial Cybersecurity Insider on LinkedInCybersecurity & Digital Safety on LinkedInBW Design Group CybersecurityDino Busalachi on LinkedInCraig Duckworth on LinkedInThanks so much for joining us this week. Want to subscribe to Industrial Cybersecurity Insider? Have some feedback you'd like to share? Connect with us on Spotify, Apple Podcasts, and YouTube to leave us a review!The podcast and artwork embedded on this page are from Industrial Cybersecurity Insider, which is the property of its owner and not affiliated with or endorsed by Listen Notes, Inc.

Bob Evans speaks with SAP CTO Philipp Herzig from SAP Sapphire in Orlando about SAP's AI strategy, platform evolution, customer modernization challenges, governance, and enterprise-scale agent deployment. Herzig lays out SAP's positioning around openness, business AI, autonomous agents, security, and migration support, while addressing confusion around API policy changes and fair-use limits. SAP's AI Inflection Point The Big Themes: SAP's AI Platform Is Becoming Cohesive: A major theme in the conversation is that SAP is presenting a more integrated AI vision rather than a collection of disconnected announcements. Herzig describes a layered architecture spanning UX, autonomous assistants, business process orchestration, governance, and the underlying AI platform. The emphasis is on a consistent enterprise AI framework rather than isolated tools. Migration Support Is Becoming Strategic: Migration is no longer framed as a technical back-office concern. Instead, it's becoming a strategic AI enabler. Herzig discusses SAP's toolchain investments, including LeanIX, Signavio, migration automation, testing support, code modernization, and agent-assisted implementation. The idea is to reduce friction in modernization so customers can reach AI readiness faster. Instead of treating migration as merely an ERP upgrade journey, SAP increasingly positions it as foundational infrastructure for enterprise AI transformation. Change Management Extends Beyond Technology: Herzig acknowledges that deploying AI agents is not simply a software problem, it's an organizational transformation issue. While SAP can accelerate technical deployment through tooling, governance, observability, and automation, customers must still rethink workflows, roles, and operating models. The discussion around developer productivity, AI-assisted coding, and human-agent collaboration reinforces this broader perspective. The Big Quote: ““There are good agents out there… there's also a lot of really bad agents out there… and they, of course, set the enterprise system under risk.” More from SAP and Philipp Herzig: Connect with Philipp Herzig on Linkedin or learn about SAP Sapphire. Visit Cloud Wars for more.

pnpm lead maintainer Zoltan Kochan joins PodRocket to unpack pnpm 11's biggest shifts: a new minimum release age default that blocks npm registry packages under 24 hours old, a cleaner allow builds config replacing scattered post-install script settings, and the experimental global virtual store that slashes install times with Git worktrees. Zoltan also shares why a Rust rewrite of pnpm's engine is now underway, and how AI-assisted development made it possible far sooner than expected. Links Website: https://www.kochan.io/ Github: https://github.com/zkochan LinkedIn: https://www.linkedin.com/in/zkochan X: https://x.com/zoltankochan Mastodon: https://fosstodon.org/@zkochan Bluesky: https://bsky.app/profile/kochan.io Resources pnpm release blog post: https://pnpm.io/blog/releases/11.0 We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. Chapters 00:00 Introduction 01:00 The 24-Hour Minimum Release Age Default 03:30 Community Pushback and the Polling Shift 05:00 Trusted Policy and OIDC Provenance Checking 07:00 Performance Trade-offs of Full Metadata Fetching 08:00 The New Allow Builds Configuration 10:30 Global Installs and the Virtual Store Explained 13:00 Which Packages Break with the New Layout 14:30 Global Virtual Store for Local Dev and Worktrees 16:30 TypeScript Go and the Golden Age of Development 17:30 AI Agents Influencing pnpm's Design Decisions 19:00 The Rust Rewrite — and Why Now 20:00 Dropping Node 18 and the Standalone Executable 22:00 Installing Node.js via pnpm and the New GitHub Action 24:00 Moving Config from npmrc to pnpm-workspace.yaml 26:00 Upgrade Smoothness and Common Migration Pain Points 28:30 pnpm v12 Roadmap — Frozen Installs in Rust 31:00 Contributing to pnpm and the Open Source PR Tsunami 33:00 Wrap-up

AI for Designers: 5-week Bootcamp

If you're hoping that adding AI to your analytics product or capabilities is going to unlock new revenue, sales, and greater user adoption, but you're not sure what's involved in this transformation, this episode is for you! Today, I'm talking with Juan Sequeda today, an expert in knowledge graphs and ontologies who most recently was Head of the AI lab at data.world, which was recently acquired by ServiceNow. Juan and I met while speaking at CDOIQ a few years ago, and after being on his former podcast “Catalogs and Cocktails.” (With a name like that, I naturally had him out to my local tiki bar while visiting Cambridge!) Talk-to-your-data products – effectively next-gen business intelligence applications – are a hot topic right now, and this has made much of Juan's PhD work in semantics highly relevant right now as companies try to make analytics more user-friendly via natural language.  Juan is clear that the starting point for this transformation isn't the model or the UI, but actually the customer's workflow—and that was like music to my ears! Analytics only matters when it drives action, so the real challenge is not answering more questions, but enabling better decisions and outcomes. A key theme is semantics, which, in product design language, I think of as making users' mental models of their business or domain map logically to system and data models so that AI produces the right answers in the right context. Juan outlines a practical path to getting started with this: strong data modeling, a well-defined semantic layer, buy-vs-build considerations, and throughout, a constant focus on what the customer's workflow and problem is. Highlights/ Skip to:   Juan Sequeda's background (2:14)  Is AI for BI the way to go for proprietary analytics products? (4:30) Bolted-on AI versus transformational AI, and what customers are doing with current reporting (8:26) Knowing your product's boundaries and when extending into adjacent customer workflows stops making strategic sense (14:46) Setting proper expectations for non-technical founders around what AI can “answer” with analytics (18:43) The role of customer problems in informing the prerequisite technology and data decisions (24:37) What's the actual lift to add chat-with-your-data capabilities to a SaaS product: data foundation, semantic layer, and the build-vs-buy call (33:38) Why Juan thinks every company should become “AI-native” (41:20) AI might theoretically make for a better analytics UX, but are users ready to change their behavior or abandon the analytics tools they use now? (46:00) How to follow Juan Sequeda (49:03) Links Catalogs & Cocktails Podcast Juan Sequeda's LinkedIn  Juan Sequeda's Substack

In one's UX operation, encountering various aspects of toxicity is a reality. How can we recognize toxicity? How can we manage it? Is it manageable? This week, Dr. Darren identifies several aspects of toxic behavior in the form of what are known as the isms and shares tips on how to be the victor when experiencing the same.#ux#podcasts#cxofmradio#cxofm#realuxtalk#worldofux#worldouxBookmark the new World of UX website at https://www.worldoux.com. Visit the UX Uncensored blog at https://uxuncensored.medium.com. Get your specialized UX merchandise at https://www.kaizentees.com.

In this episode of The Learning & Development Podcast, David James is joined by Becky Willis to break down the essential components of her new book, 7 Steps to Better Learning Engagement: A Blueprint for Creating Impactful L&D. Together, they explore what it truly takes for an organization to shift its attention toward L&D and, more importantly, how to convert that attention into tangible business impact. Becky reflects on the transition from traditional L&D hurdles to a streamlined, step-by-step guide for modern professionals. The conversation covers the entire lifecycle of a successful initiative—from securing executive buy-in and refining strategy to optimizing learning technology. They also delve into the "marketing" side of the industry, discussing how to leverage internal champions and communication tactics to ensure L&D moves from the periphery to the heart of organizational performance. Take your L&D to the next level   Take advantage of thousands of hours of analysis. Hundreds of conversations with industry innovators and 25+ years of hands-on global L&D leadership.   It's all distilled into one framework to help you level up L&D. Access the L&D Maturity Model here - https://360learning.com/maturity-model   KEY TAKEAWAYS ●      Reposition L&D as a business function, not a course factory - move from “we create training” to “we solve business problems,” and prove it using time to proficiency, product quality, and profit KPIs.  ●      Start with one senior sponsor, co‑solve a pressing business issue, prove impact with data and stories, then scale support via a Learning Advisory Board or similar council.   ●      Modern, collaborative, AI‑enabled platforms with strong UX can transform engagement and visibility. But don´t bolt AI onto legacy LMSs and risk turning L&D into a “dinosaur on wheels.”  ●      Market L&D internally like a product - use champions and visible executives and continually showcase success stories. ●      Go way beyond courses, design for moments of need. Build experience sharing, in‑the‑flow support and AI‑enabled coaching - employees need to get exactly what they need, when they need it. BEST MOMENTS “If you have bolted on AI that's just added into there, onto your dinosaur, LMS, then what you have is a dinosaur on wheels.” “I think the mindset of going from I create courses to I solve business problems is a big step.” “The sweet spot of learning and development is to be there at the moment of need - to influence the moment of apply.” Becky Willis Bio Becky Willis is a founder and the chief learning officer at Tractus Learning. She helps guide Tractus customers to implement successful digital learning. She is also the founder of WillLearn Consulting, where she helps companies plan, design, and develop high-performance digital learning ecosystems. Previously, she was the vice president of engagement at EdCast and led learning innovation at Hewlett Packard. You can follow and contact Becky via: LinkedIn: https://www.linkedin.com/in/beckywillis/ Website: https://tractuslearning.com/ VALUABLE RESOURCES The Learning And Development Podcast - https://podcasts.apple.com/gb/podcast/the-learning-development-podcast/id1466927523 L&D Master Class Series: https://360learning.com/blog/l-and-d-masterclass-home ABOUT THE HOST David James  David has been a People Development professional for more than 20 years, most notably as Director of Talent, Learning & OD for The Walt Disney Company across Europe, the Middle East & Africa.  As well as being the Chief Learning Officer at 360Learning, David is a prominent writer and speaker on topics around modern and digital L&D.  CONTACT METHOD  ●      Twitter:  https://twitter.com/davidinlearning ●      LinkedIn: https://www.linkedin.com/in/davidjameslinkedin ●      L&D Collective: https://360learning.com/the-l-and-d-collective ●      Blog: https://360learning.com/blog ●      L&D Master Class Series: https://360learning.com/blog/l-and-d-masterclass-home This Podcast has been brought to you by Disruptive Media. https://disruptivemedia.co.uk/

Gm! In today's episode, we're joined by Chris from Loyal to discuss building smart-account infrastructure on Solana to automate onchain financial tasks, including stablecoin yield optimization and agent-driven policies. We cover smart wallets, Seeker app development, consumer crypto UX, token-based fundraising through MetaDAO, community building, and the broader future of agentic finance and payments. Enjoy! -- Follow Lightspeed: ⁠https://x.com/Lightspeedpodhq Follow Loyal: https://x.com/loyal_hq Follow Chris: https://x.com/candyflipline?lang=en Follow Danny: https://x.com/defi_kay_ Join the Lightspeed Telegram: ⁠https://t.me/+QHlbNTNS4gc1ZTVh -- Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (1:27) Why Smart Wallets Matter (4:02) Loyal's Origin Story (14:16) Smart Accounts Meet Fintech (18:59) Why Solana Lagged EVM (21:54) Real Agent Finance Use Cases (32:13) Why Launch on Seeker (37:56) Token Launch Lessons (54:42) Loyal's Roadmap (56:37) Closing Comments -- Disclaimers: Lightspeed was kickstarted by a grant from the Solana Foundation. Nothing said on Lightspeed is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Danny, and our guests may hold positions in the companies, funds, or projects discussed.

Join Milena Nikolic, Founder and CEO of Heywa Labs, for a masterclass on the next great interface revolution. With a 13-year tenure at Google—rising from a graduate engineer to Senior Engineering Director in Search and Android—and a former role as CTO of Trainline, Milena is one of the most sophisticated voices in tech today. In this episode, we move past the limitations of the "chat window" to explore Generative UX (GenUX): a new paradigm where AI builds structured, interactive experiences in real-time to help users compare, evaluate, and decide.

Episode web page: https://bit.ly/4d9cvE4 Episode summary In this episode of Insights Unlocked, Nathan Isaacs sits down with Gainsight SVP and UnChurned host Josh Schachter to explore how AI is transforming customer success—from scaling feedback collection to redefining retention as an outcome-driven discipline. Drawing on his journey from product leader to “relational founder,” Josh shares why building authentic relationships is still a competitive edge, even in an AI-first world, and how teams can combine human insight with agentic workflows to better understand, prove, and deliver customer value. What you'll learn Why customer success is shifting from SaaS to “retention as a service” How AI enables teams to capture and synthesize customer feedback at scale What separates high-performing customer success teams from the rest Why strong customer relationships still matter more than ever in an AI-driven world How to build effective agentic workflows (and common pitfalls to avoid) What the “retention apocalypse” means—and how to stay ahead of it How product, UX, and marketing teams can directly impact retention Why high-quality customer conversations are the foundation of effective AI Resources & links Josh Schachter on LinkedIn ( https://www.linkedin.com/in/jschachter/) Gainsight ( https://www.gainsight.com/) Gainsight's Atlas ( https://www.gainsight.com/solutions/ai/) UnChurned podcast and newsletter ( https://unchurned.gainsight.com/) Nathan Isaacs on LinkedIn ( https://www.linkedin.com/in/nathanisaacs/)

This week on The Razzle Dazzle Show, we're joined by Illia Bielikov, lead developer of SHADE Protocol and co-founder of Sparrow Bomb! With over a decade of experience, Illia has done it all—programming, UX, and game design—all while chasing one core idea: games should feel like a cohesive experience, not just mechanics thrown together. We dive into his journey from making Flash games on a PSP to overcoming a 5-year failed project, how that shaped his philosophy, and what it really takes to build something meaningful in today's indie scene. Plus, we talk SHADE Protocol, creative discipline, and why Illia believes talent is a myth. Special Guest - Illia Bielikovhttps://linktr.ee/LittleLegendaryGames?utm_source=linktree_profile_share⁠⁠⁠⁠Host: Jared Gonzalez. Cohosts: Chaz Hawkins, Mauro Piquera. Master Chief Engineer: Jared Gonzalez. Editor: Jared Gonzalez. Graphics Editor: Jared Gonzalez. Digital Media Editor: Jared Gonzalez. Producer: Jared Gonzalez. ⁠https://linktr.ee/razzledazzleshowpodcast?utm_source=linktree_profile_share #razzledazzle #razzledazzleshow #podcast #videogames #indiegames #gameaudio #gamedev #shadeprotocol #kickstarter #steam #wishlist #gaming #popculture #fyp #explore

AI for Designers is officially open for enrollment for just a couple of days (or until it's sold out)- In this special episode of Future of UX, I'm answering all the biggest questions about my live bootcamp AI for Designers.We talk about:how the bootcamp workswhat's includedhow much time you actually needAI workflows for designersvibe coding, AI UX, research, prototyping & content generationthe live workshops and communitywhy AI skills are becoming essential for designersI also share more about this cohort's exclusive extras, including:an exclusive Figma collaboration workshopan AI Leadership workshop with Penny Blackmoreupdated workflows, assignments, and live sessions

Gm! In today's episode, we're joined by Eric and Hayden from Jito to discuss Solana Accelerate, the launch of Jito's Maker Prioritization Plugin, and broader efforts to improve Solana's market structure through more deterministic transaction scheduling. We also cover validator incentives, BAM architecture, plugin experimentation, perp and prediction markets, tokenized assets, and why user experience and distribution will be critical for driving on-chain trading adoption. Enjoy! -- Follow Lightspeed: ⁠https://x.com/Lightspeedpodhq Follow Jito: https://x.com/jito_sol Follow Hayden: https://x.com/magicdhz Follow Eric: https://x.com/gzalz_sol Follow Sam: https://x.com/minnus Follow Carlos: https://x.com/0xcarlosg Follow Danny: https://x.com/defi_kay_ Join the Lightspeed Telegram: ⁠https://t.me/+QHlbNTNS4gc1ZTVh -- Get top market insights and the latest in crypto news. Subscribe to Blockworks Daily Newsletter: https://blockworks.co/newsletter/ -- Timestamps: (0:00) Introduction (2:23) Solana Accelerate Recap (6:22) Jito's Maker Prioritization Plugin (9:56) Why Scheduler Rules Matter (13:42) Bam Adoption and Validator Incentives (18:22) Competing for Top of Batch (22:42) Faster Onchain Time (29:12) Bam After Solana Upgrades (34:13) Plugins Unlock New Use Cases (38:57) Building for Perps (41:32) What Better Market Structure Enables (49:06) UX, GTM, and Card Markets (56:05) Closing Comments -- Disclaimers: Lightspeed was kickstarted by a grant from the Solana Foundation. Nothing said on Lightspeed is a recommendation to buy or sell securities or tokens. This podcast is for informational purposes only, and any views expressed by anyone on the show are solely our opinions, not financial advice. Danny, and our guests may hold positions in the companies, funds, or projects discussed.

Google Chrome engineer Adam Argyle breaks down why AI is bad at frontend development and CSS in particular. From LLM training data problems to the fact that LLMs can't see, the issues run deep. But it's not all doom! Adam shares a game-changing technique for getting creative AI generated UI by asking for low probability outputs, introduces tools like Impeccable and V0 for AI assisted CSS editing, and dives into agentic loop engineering with auto research, an overnight AI workflow he uses to ship improvements while he sleeps. Links Website: https://nerdy.dev/ YouTube: https://www.youtube.com/channel/UCBGr3ZMcV5jke40_Wrv3fNA Twitter: twitter.com/argyleink Github: github.com/argyleink Linkedin: https://www.linkedin.com/in/adamargyle Resources Why AI sucks at frontend: https://nerdy.dev/why-ai-sucks-at-front-end We want to hear from you! How did you find us? Did you see us on Twitter? In a newsletter? Or maybe we were recommended by a friend? Fill out our listener survey! https://t.co/oKVAEXipxu Let us know by sending an email to our producer, Elizabeth, at elizabeth.becz@logrocket.com, or tweet at us at PodRocketPod. Check out our newsletter! https://blog.logrocket.com/the-replay-newsletter/ Follow us. Get free stickers. Follow us on Apple Podcasts, fill out this form, and we'll send you free PodRocket stickers! What does LogRocket do? LogRocket provides AI-first session replay and analytics that surfaces the UX and technical issues impacting user experiences. Start understanding where your users are struggling by trying it for free at LogRocket.com. Try LogRocket for free today. ChaptersSpecial Guests: Adam Argyle and Jack Herrington.

Struggling with low app engagement or high churn? In this video, we break down 3 critical deep linking mistakes that are silently killing your app growth, and exactly how to fix them.

Jane Wang brings a rare cross-disciplinary lens to one of fitness's oldest problems: member retention. With a background in clinical research, mortality risk, and 12+ years in corporate wellness, Jane shares why the industry's approach to churn is fundamentally flawed — and what a data-driven, human-centered model looks like. What We Cover: Jane's background — From HIV research and ovarian cancer trials to building tech for 7M+ members at Opt Why retention is broken — The industry measures daily/weekly/monthly activity but ignores the full lifecycle of a member Life stages & churn — Having a baby, moving cities, changing jobs: why no text message can fix structural churn The "no" that means "not right now" — Treating lapsed members like a long-term sales relationship Life events in insurance vs. fitness — How life insurers market around milestones and why gyms should too Joyful nudges vs. aggressive ones — Why over-messaging kills retention and joy-driven UX wins The female fitness opportunity — Women are 60–90% of class-based gym users, but most products are built by and for men Cyclical health design — Why female biology demands a different measurement framework Candy Crush vs. Call of Duty — The massive underserved female market and what light gamification unlocks Social connectedness as a magic metric — Facebook's early retention lesson applied to gyms; women average 8–9 challenge buddies vs. men's 1–2 Fidgital — Physical + digital experiences that create lasting loyalty (Apple as the model) The data stack — Subscription data → usage/check-ins → wearables → zip codes → behavioral triangulation How Opt's challenges work — 1-day to 2-week gamified events that surface persona, personality, and device data with no tech lift for partners EGM Genius AI — A real-world fidgital example from the gym floor What Jane needs — Partners with 100K+ member footprints to help scale from 7M to 100M members OUR SPONSORS:

What's the real cost of only having the bandwidth to focus on your top-performing products?Agility requires systems and processes that not only respond to change but also proactively manage complexity across an entire portfolio. It's about creating the capacity to act on every opportunity, not just the most obvious ones.Today, we're going to talk about a critical breaking point for large consumer brands: the operational limits of ecommerce execution. When you're managing thousands of products across countless digital shelves, manual processes don't just slow you down—they force you to leave opportunity on the table. We'll explore how automation and AI are moving teams from being reactive firefighters on their top SKUs to strategic drivers of growth across their entire catalog.To help me discuss this topic, I'd like to welcome, Tambi Younes, Vice President of E-commerce at Newell. About Tambi Younes Tambi Younes is the vice president of e-commerce at Newell. Younes has spent nearly a decade with Newell, holding a series of product experience and DTC leadership roles. Most recently, he was senior director of product, UX and digital experience, where he spearheaded AI solutions within the global DTC digital platform and led an approach to product design centered on user research and customer insights. Prior to that, he was director of e-commerce, DTC, where he led a 12-person team that worked on merchandising, promotional and assortment strategies. He also drove strong growth on Amazon as senior manager of global e-commerce for the company's baby and parenting brands, optimizing digital marketing, product visibility and channel strategy to gain market share. Tambi Younes on LinkedIn: https://www.linkedin.com/in/tambi/ Resources Newell: https://www.newellbrands.com/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company Hosted on Acast. See acast.com/privacy for more information.

What's the real cost of only having the bandwidth to focus on your top-performing products?Agility requires systems and processes that not only respond to change but also proactively manage complexity across an entire portfolio. It's about creating the capacity to act on every opportunity, not just the most obvious ones. Today, we're going to talk about a critical breaking point for large consumer brands: the operational limits of ecommerce execution. When you're managing thousands of products across countless digital shelves, manual processes don't just slow you down—they force you to leave opportunity on the table. We'll explore how automation and AI are moving teams from being reactive firefighters on their top SKUs to strategic drivers of growth across their entire catalog. To help me discuss this topic, I'd like to welcome, Tambi Younes, Vice President of E-commerce at Newell. About Tambi Younes Tambi Younes is the vice president of e-commerce at Newell. Younes has spent nearly a decade with Newell, holding a series of product experience and DTC leadership roles. Most recently, he was senior director of product, UX and digital experience, where he spearheaded AI solutions within the global DTC digital platform and led an approach to product design centered on user research and customer insights. Prior to that, he was director of e-commerce, DTC, where he led a 12-person team that worked on merchandising, promotional and assortment strategies. He also drove strong growth on Amazon as senior manager of global e-commerce for the company's baby and parenting brands, optimizing digital marketing, product visibility and channel strategy to gain market share. Tambi Younes on LinkedIn: https://www.linkedin.com/in/tambi/ Resources Newell: https://www.newellbrands.com/ The Agile Brand podcast is brought to you by TEKsystems. Learn more here: https://aglbrnd.co/r/2868abd8085a9703 Drive your customers to new horizons at the premier retail event of the year for Retail and Brand marketers. Learn more at CRMC 2026, June 1-3. https://aglbrnd.co/r/d15ec37a537c0d74 We're proud to be a media partner for #MAICON26 - Oct. 13-15! Learn how AI can power your marketing and business and help you grow smarter. Use code AGILE150 to save! https://aglbrnd.co/r/7fe458ced0f04658 Enjoyed the show? Tell us more at and give us a rating so others can find the show at: https://aglbrnd.co/r/faaed112fc9887f3 Connect with Greg on LinkedIn: https://www.linkedin.com/in/gregkihlstromDon't miss a thing: get the latest episodes, sign up for our newsletter and more: https://aglbrnd.co/r/35ded3ccfb6716ba Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company