Podcasts about ai strategy

Send a textFirst Aired Apr 23, 2025If you've been following the AI space lately, this episode hits differently the second time around.When Al sat down with Ruchir Puri — Chief Scientist of IBM Research, IBM Fellow, and the architect behind Watson and watsonx — the conversation covered ground that's only gotten more relevant since: the death of prompt engineering, the rise of agentic AI, and why 2025 was always going to be the year agents broke through in the enterprise.Ruchir doesn't deal in hype. He deals in systems — real ones, running at scale, in industries where a hallucinated number has consequences. In this masterclass, he walks through inference scaling, memory in AI systems, and what it actually means to build AI that's useful rather than just impressive.If you're new to the show, this is the episode to start with. If you've heard it before — trust us, it lands differently now.Key moments:12:21 — Why prompt engineering is already fading (and what replaces it)13:39 — Inference scaling: the frontier that's not about training anymore16:26 — Why AI systems that "forget" are failing us17:56 — The full agentic loop: Think, Plan, Act, Execute, Observe, Reflect23:45 — Why enterprise AI agents are no longer a future stateMaking Data Simple is hosted by Al Martin, WW VP Technical Sales, IBM.Ruchir's LinkedinAl's LinkedInExplore IBM's WatsonxWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

In this episode, Bashir Agboola, DBA, MBA, MSc, CHCIO, CDH-E, Managing Partner at Interdym and former executive at Hospital for Special Surgery, discusses moving from AI experimentation to sustainable execution in healthcare. He shares insights on ambient documentation, predictive analytics, structured governance, and how disciplined strategy turns digital investments into measurable clinical and financial impact.

This Omni Talk Retail Fast Five segment, sponsored by the A&M Consumer and Retail Group, Mirakl, Ocampo Capital, Infios, Quorso, and Veloq, looks at Kroger's decision to create a Chief Data and AI Officer role. Chris Walton and Jenn Hahn discuss what elevating the leader of 84.51 means for Kroger's long term AI strategy and how data leadership is becoming central to retail. ⏩ Tune in for the full episode here: https://youtu.be/qZQHl9r-BUc #RetailNews #Kroger #AIinRetail #RetailTechnology #RetailInnovation #OmniTalk #RetailFastFive

For years, the aggregator model was simple: curate the best journalism from thousands of publishers and send audiences their way. Now that contract is being rewritten, and Yahoo News is one of the most interesting places to watch it happen.In this episode of Newsroom Robots, host Nikita Roy speaks with Kat Downs Mulder, Senior Vice President and General Manager of Yahoo News, about how the platform is layering AI across every surface of a product that reaches an estimated 180 million people in the U.S. alone each month. Kat previously spent more than 14 years at The Washington Post as chief product officer and managing editor before taking on the challenge of modernizing one of the internet's original news destinations.The conversation explores Yahoo's acquisition of Artifact, the AI news app built by Instagram's co-founders, which gave the platform a new recommendation engine that prioritizes time spent reading over clicks. It also digs into Yahoo Scout, the company's new AI answer engine that synthesizes information with rich citations and visual context, and an AI-powered daily audio digest designed to turn personalized news into a listening habit. Each of these products makes Yahoo more useful to its audience, but each also changes the relationship between Yahoo and the publishers whose journalism powers the platform.When an answer engine can deliver what a user needs without a click-through, when an audio digest summarizes a story so well the article never gets opened, and when personalization makes the aggregator the destination instead of the pass-through, the old economics stop working for publishers. Kat is candid that the compensation models haven't been figured out yet, noting that Yahoo is working with the Microsoft Publisher Content Marketplace to develop new frameworks, but that the industry is still writing those rules in real time.She makes a strong case for how Yahoo is approaching this differently, from how Scout prominently surfaces publishers to the rev-share model they operate, and why she believes the quality flywheel they are building actually rewards better journalism. Kat argues that original, distinctive journalism will become more valuable in an AI world because AI agents will seek out what is unique. This episode covers: 03:20 — Why Yahoo acquired Artifact and how it shifted recommendation algorithms 06:20 — The shift from click-based metrics to deeper engagement signals such as session time and retention 08:50 — Inside Yahoo Scout, Yahoo's new AI answer engine built to support publishers and the open web 12:40 — The changing economics of news as AI platforms begin generating answers instead of sending traffic 17:40 — Yahoo's personalized AI-generated audio news digest and why multimodal news experiences matter 22:00 — How Yahoo's editorial and AI teams collaborate on quality control at scale 31:00 — How AI is transforming newsroom product development and prototyping 36:10 — The tension between personalization and journalism's civic responsibility 40:00 — What smaller newsrooms can learn from their AI product playbookSign up for the Newsroom Robots newsletter for episode summaries and insights from host Nikita Roy. Hosted on Acast. See acast.com/privacy for more information.

Revolutionizing Go-to-Market Strategy: AI-Driven Performance Marketing with Lisa SharapataIn a recent episode of The Thoughtful Entrepreneur Podcast, host Josh Elledge sat down with Lisa Sharapata, the VP of AI & GTM Strategy at Metadata.io, to discuss the radical shift occurring in digital advertising. Metadata is a category-defining platform that utilizes AI agents to automate the technical execution of ad campaigns, effectively removing the manual "grunt work" that often bogs down marketing teams. Lisa shares how this transition allows marketers to shift their focus from bid adjustments and spreadsheet management to high-level media strategy and authentic creative development. Their conversation provides a strategic roadmap for B2B leaders looking to scale their demand generation without scaling their headcount.Beyond Manual Execution: The Power of Multivariate Testing at ScaleThe primary bottleneck in modern B2B advertising is the sheer complexity of testing—a human team simply cannot manually manage the permutations required to find the perfect campaign "winner" across fragmented channels. Lisa explains that Metadata solves this by running dozens or even hundreds of simultaneous experiments across platforms like LinkedIn, Facebook, Instagram, Reddit, and Bing. For example, a single campaign involving three different audiences, three unique offers, and three creatives across five channels results in 135 separate experiments; Metadata's AI agents handle the deployment and optimization of these combinations in real-time, shifting budget to top performers instantly. This level of scale ensures that ad spend is always flowing toward the highest-converting opportunities, rather than sitting stagnant in underperforming assets.With AI handling the "doing" of marketing, the role of the modern marketer is being redefined toward strategy, entity optimization (EO), and deep audience understanding. Lisa notes that as search behavior shifts from traditional engines to AI-driven models like ChatGPT, brands must focus on "Entity Optimization"—ensuring their company is recognized as a reputable authority across the web so it is cited by these emerging AI tools. This shift requires marketers to be more present in community-led channels and multi-channel brand awareness efforts, letting AI handle the bid thresholds and technical safeguards while humans focus on the narrative and the brand's positioning in the market.Ultimately, successful AI implementation requires a "human-in-the-loop" approach to maintain control over brand standards and financial parameters. Metadata addresses this by allowing users to set strict spend and bid limits, ensuring the AI operates within a safe "sandbox" of pre-approved strategic boundaries. As trust builds, organizations can gradually increase the autonomy of these agents, moving toward a future of vendor-agnostic optimization where the platform prioritizes what actually works for the client, rather than what benefits a specific social network's inventory. This unified data approach allows B2B firms to connect ad spend directly to pipeline and revenue, providing the transparent attribution necessary to justify marketing investment at the executive level.About Lisa SharapataLisa Sharapata is the VP of AI & GTM Strategy at Metadata.io and a seasoned marketing leader with a track record of driving growth for high-scale B2B organizations. Known for her expertise in Account-Based Marketing (ABM) and demand generation, she is a frequent speaker and thought leader on the intersection of creativity and data-driven strategy. Lisa is passionate about helping marketers reclaim their time through automation, often drawing parallels between the fluidity of her hobby in water ink painting and the organic flow of modern marketing data.About Metadata.ioMetadata.io is the leading operating system for B2B marketers, providing AI-driven automation for performance marketing and demand generation. The platform automates the repetitive, manual tasks involved in running and optimizing ad campaigns across LinkedIn, Facebook, Google, and more. By connecting ad spend to revenue data, Metadata helps organizations achieve higher ROI and provides a unified view of the go-to-market strategy.Links Mentioned in This EpisodeMetadata.io Official WebsiteLisa Sharapata on LinkedInKey Episode HighlightsThe "Strategy Over Execution" Shift: Why AI is finally allowing marketers to abandon manual bid management and focus on creative storytelling.Multivariate Testing at Scale: How AI agents manage hundreds of campaign permutations across LinkedIn, Facebook, and Reddit to find the lowest cost per lead.From SEO to Entity Optimization (EO): Preparing your brand to be recognized and recommended by AI language models and emerging search tools.Spend Safeguards and Human Oversight: Maintaining control over automated campaigns through bid limits and "human-in-the-loop" approval workflows.End-to-End Attribution: Connecting top-of-funnel ad spend directly to bottom-of-funnel pipeline and revenue metrics.ConclusionThe conversation with Lisa Sharapata makes it clear that the future of marketing isn't about human vs. machine, but rather human and machine working in tandem. By automating the mechanical aspects of digital advertising, leaders can empower their teams to focus on the creativity and strategy that truly move the needle for the business.More from The Thoughtful Entrepreneur

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   What ERP Vendor Roadmaps Reveal About AI in 2026, Q&A (Darian Chwialkowski, Third Stage Consulting) How Customers Are Taking Back Control of Their Technology Roadmap (Eric Helmer, Rimini Street) Why Some ECC Customers Are Being Told to Spend Over $100M on S/4HANA We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Are leaders in our construction space risking irrelevance by ignoring artificial intelligence?   AI is rapidly changing how companies operate, but many leaders are still treating it like a passing trend, delegating it to IT.    In this episode, Bradley Hartmann connects a modern leadership challenge with a bizarre 17th-century scientific experiment to explain why curiosity, experimentation, and disciplined thinking are essential for adopting AI successfully.   Listeners will discover:   Why leaders who fail to lean into AI may soon be replaced by those who do The biggest mistake companies make when experimenting with AI tools A simple 30-day AI experiment that can immediately improve communication and productivity     Press play to learn a practical, low-risk way to start using AI today—and position your company to compete in an AI-driven future.   At Bradley Hartmann & Company, we help construction teams improve sales, leadership,  and communication by reducing miscommunication, strengthening teamwork, and bridging language gaps between English and Spanish speakers. To learn more about our product offerings, visit bradleyhartmannandco.com.   The Construction Leadership Podcast dives into essential leadership topics in construction, including strategy, emotional intelligence, communication skills, confidence, innovation, and effective decision-making. You'll also gain insights into delegation, cultural intelligence, goal setting, team building, employee engagement, and how to overcome common culture problems—whether you're leading a crew or managing an entire organization.   Have topic ideas or guest recommendations? Contact us at info@bradleyhartmannandco.com.   New podcasts are dropped every Tuesday and Thursday.   This episode is brought to you by The Construction Spanish Toolbox —the most practical way for construction teams to learn jobsite-ready Spanish in just minutes a day over 6 months.      

When AI hype is shouting “anything is possible,” it's easy for teams—especially in regulated, risk-aware orgs—to feel like innovation is either reserved for the “creative people” or only happens in labs behind closed doors. JoAnn Stonier makes the case that innovation isn't a personality type—it's a muscle. You can train it, but you also need permission, constraints, and a shared way of working so the results don't devolve into chaos (or a pile of half-baked agents someone tries to “just unplug”).This episode is a practical look at how to balance innovation with risk without turning your org into a two-headed “push-me pull-you” that never goes anywhere. The throughline: design thinking isn't a tired framework—it's the operating system that helps organizations create consistent, values-driven guardrails as AI becomes increasingly democratized across every function.Resources from this episode:Join the Digital Project Manager CommunitySubscribe to the newsletter to get our latest articles and podcastsCheck out this episode's sponsor: TogglConnect with JoAnn:LinkedInThe Cantellus Group

If you're implementing AI and want to realize that promised ROI, let's see if Octalysis fits → professorgame.com/chat Breaking down why most AI projects fail despite being technically flawless. The problem isn't the code; it's the lack of behavioral design. By applying the Octalysis Framework, we see how to move away from "Black Hat" implementations that trigger resistance and identity threats. Instead, we shares how to design AI as an individual contributor's superpower. It is a deep dive into balancing short-term Black Hat-driven data bumps with long-term White Hat engagement to ensure your team feels like masters of their craft rather than data entry clerks for an algorithm. Rob Alvarez is Head of Engagement Strategy, Europe at The Octalysis Group (TOG), a leading gamification and behavioral design consultancy. A globally recognized gamification strategist and TEDx speaker, he founded and hosts Professor Game, the #1 gamification podcast, and has interviewed hundreds of global experts. He designs evidence-based engagement systems that drive motivation, loyalty, and results, and teaches LEGO® SERIOUS PLAY® and gamification at top institutions including IE Business School, EFMD, and EBS University across Europe, the Americas, and Asia.   Links to episode mentions: Let's implement AI successfully leveraging Octalysis Behavioral Design professorgame.com/chat How gamifying AI shapes customer motivation, engagement, and purchase behavior Harmonizing human-AI synergy: behavioral science in AI-integrated design Digital tracking, gamification, social media, and AI: How technology influences motivation AI-Driven Gamification Approaches: Enhancing Engagement Through Intelligent  Systems Some of The Octalysis Group's resources: Why Your Sales Leaderboard is Killing Performance (And What AI-Driven Motivation Actually Looks Like) How AI Loyalty Programs are Rewriting Loyalty Why Corporate Learning Platforms Fail (AI Corporate Learning) AI-Powered Behavioral Design for Customer Loyalty The Fintech Engagement Crisis: Why AI Without Behavioral Design Creates Apps Nobody Uses AI Powered FMCG Loyalty: Escaping the Points Trap with Behavioral Design   Lets's do stuff together! Let's chat about your gamification project YouTube LinkedIn Instagram Facebook Start Your Community on Skool for Free Ask a question

The frontline of healthcare and the frontier of tech are colliding. In this episode of America's Work Force Union Podcast, we tackle two of the most significant shifts facing the American worker today: the healthcare staffing crisis and the rapid rise of Artificial Intelligence. National Nurses United (NNU) with Mary Turner, NNU President Mary Turner discusses the "Red Alert Hospital Tour." As corporate health systems prioritize profits over patients, Turner explains why nurses are taking the fight to the streets to prevent hospital closures and enforce safe staffing ratios. The "Moral Injury" of Nursing: Why clinical standards are non-negotiable. Red Alert Tour: Building community power to save local healthcare anchors. United Labor Agency (ULA) with Dave Megenhardt, Executive Director Dave Megenhardt joins us to discuss the "Workers First Summit" and the labor movement's response to AI. With the potential to compress decades of disruption into years, Megenhardt explains how unions are bargaining for guardrails. The Job Chain Threat: How AI affects manufacturing, trucking, and logistics simultaneously. Policy & Protection: Why worker voice must be built into AI deployment. Support the Show: Every victory at the bargaining table starts with workers standing together. Subscribe for the latest interviews with the leaders building worker power across America. Links: Website: https://awf.labortools.com

Summary Welcome to our 500th episode! To celebrate this milestone, Andy talks with Steve Brown, AI futurist, keynote speaker, and author of The AI Ultimatum: Preparing for a World of Intelligent Machines and Radical Transformation. Steve brings a rare perspective shaped by years at Intel and Google DeepMind, and today helps organizations navigate two vital questions: what future do you want to build with AI, and what future do you want to avoid? They explore why waiting isn't actually the safe option it feels like, how to think about the different "flavors" of AI beyond just generative tools, and what it really means to orchestrate humans, AI agents, and robots together in the workplace. Steve introduces three types of AI agents—offload, elevate, and extend—and explains the crucial difference between automating tasks and truly transforming how work gets done. You'll also hear his candid take on the fear of being replaced and why doubling down on your humanity is the smartest career move you can make right now. If you're looking for a practical, empowering guide to leading through the AI revolution—without the hype—this episode is for you! Sound Bites "The difference between an AI-enabled or AI-first company and an AI laggard is going to be so great that if you don't get on the train, you may get to the point where you can never catch up." "Your competitors who have embraced AI faster than you are going to be just kicking your butt all over town." "There's a serious cost to inaction in that you can become made irrelevant." "The danger with that is you may automate yourself. It may automate away all of the differentiation you have in your brand and your company." "AI is this sort of amplification technology, and the challenge is to balance cost-cutting and value creation." "Each flavor of AI is useful for solving a different type of business problem." "It feels like a digital employee, right? A digital worker that works for you." "It's taking the suck out of your job." "The real opportunity here, is to transform the way you do work rather than just try and automate away tasks or people." "The workplace of the future is going to be three groups. Humans will still be in the workforce. Great! Go us!" "You won't be replaced by an AI or a robot. You'll be replaced by someone who knows how to use AI better than you do." "Double down on your humanity." "Focus on building the skills that cannot be replaced, or at least won't be replaced by machines anytime soon." "At the end of all of this is going to be lives of abundance, where we have the things that we need." Chapters 00:00 Introduction 01:45 Start of Interview 01:54 Steve's Career Journey from Intel to DeepMind 05:00 Understanding the AI Ultimatum 08:23 Our First AI Moments 09:32 The Flavors of AI 13:54 Three Pathways to Creating Value with AI 15:11 Automation vs. Transformation 17:10 Orchestrating Humans, AI, and Robots 19:01 Real-World Examples of AI Agents 21:33 Physically Intelligent Robots in the Workplace 24:13 Addressing Fear and Resistance to AI 26:44 Preparing the Next Generation for the AI Age 29:56 Where to Learn More About Steve 31:01 End of Interview 31:38 Andy Comments After the Interview 36:23 Outtakes Learn More You can learn more about Steve and his work at SteveBrown.ai. For more learning on this topic, check out: Episode 479 with Matt Mong. It's a discussion about the AI skills you need to stay relevant. Episode 454 with Christie Smith. She talks about how AI is changing leadership, and what we can do about that now. Episode 437 with Nada Sanders. It's a discussion about future-prepping your career in an age of AI. You can also chat directly with PMeLa—the podcast's AI persona—to get episode recommendations and answers to your project management and leadership questions. Visit PeopleAndProjectsPodcast.com/PMeLa to chat with her. Level Up Your AI Skills Join other listeners from around the world who are taking our AI Made Simple course to prepare for an AI-infused future. Just go to ai.PeopleAndProjectsPodcast.com. Thanks! Pass the PMP Exam This Year If you or someone you know is thinking about getting PMP certified, we've put together a helpful guide called The 5 Best Resources to Help You Pass the PMP Exam on Your First Try. We've helped thousands of people earn their certification, and we'd love to help you too. It's totally free, and it's a great way to get a head start. Just go to 5BestResources.PeopleAndProjectsPodcast.com to grab your copy. I'd love to help you get your PMP this year! Join Us for LEAD52 I know you want to be a more confident leader–that's why you listen to this podcast. LEAD52 is a global community of people like you who are committed to transforming their ability to lead and deliver. It's 52 weeks of leadership learning, delivered right to your inbox, taking less than 5 minutes a week. And it's all for free. Learn more and sign up at GetLEAD52.com. Thanks! Thank you for joining me for this episode of The People and Projects Podcast! Talent Triangle: Business Acumen Topics: Artificial Intelligence, Leadership, Future of Work, AI Strategy, Digital Transformation, Agentic AI, Automation, Organizational Change, AI Ethics, Competitive Advantage, Human-AI Collaboration, Technology Adoption The following music was used for this episode: Music: Lullaby of Light featuring Cory Friesenhan by Sascha Ende License (CC BY 4.0): https://filmmusic.io/standard-license Music: Fashion Corporate by Frank Schroeter License (CC BY 4.0): https://filmmusic.io/standard-license

In this episode, Sloan Dean returns to the show after completing MIT's AI Strategy and Leadership program to share how he's applying AI in his work daily. The conversation covers two practical use cases for hotel GMs: using Claude as an executive assistant for email and communication, and as a financial analyst for P&L benchmarking and cost analysis. Sloan also walks through the power and limitations of "vibe coding" and why the hotel leaders who lean into AI now will be the ones leading in the future. If you want to know where AI delivers real value today and where it still falls short, this is one you won't want to miss.Resources:Watch this conversation (and bonus content) on YouTubeNot Done podcastClaude CodeManus AIGamma A few more resources: If you're new to Hospitality Daily, start here. You can send me a message here with questions, comments, or guest suggestions If you want to get my summary and actionable insights from each episode delivered to your inbox each day, subscribe here for free. Follow Hospitality Daily and join the conversation on YouTube, LinkedIn, and Instagram. If you want to advertise on Hospitality Daily, here are the ways we can work together. If you found this episode interesting or helpful, send it to someone on your team so you can turn the ideas into action and benefit your business and the people you serve! Music for this show is produced by Clay Bassford of Bespoke Sound: Music Identity Design for Hospitality Brands

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Mastercard AI Payment Demo, Q&A (Darian Chwialkowski, Third Stage Consulting) Inside the Mission Control AI War Room Why Employees Are Quietly Resisting AI We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this episode of Millions Were Made, Jessica Marx is joined by Brooke Dumas for a focused discussion on the role of AI in business strategy—and why founders must be careful not to confuse automation with leadership.As AI tools become more accessible and widely adopted, many business owners are using them to generate marketing plans, onboarding systems, offers, and internal processes. While AI can be highly effective as a research and support tool, Jessica and Brooke explain why it is not equipped to deliver true strategy, future forecasting, or market leadership—especially for six- and seven-figure businesses.They also explore the structural limitations of AI, including its reliance on historical and unvalidated data, its inability to think futuristically, and its tendency to agree rather than challenge assumptions. Through real-world examples from marketing, hiring, onboarding, and product development, they outline where AI adds value and where human expertise remains essential.This episode provides practical guidance for founders who want to integrate AI into their businesses responsibly—without outsourcing critical thinking, vision, or strategic decision-making.Listen now!Mini-timeline00:21–02:40 — Why AI strategy is a critical topic for founders right now02:41–03:20 — Can AI actually provide a real business strategy?03:21–05:45 — The limitations of AI-generated insights05:46–8:15 — Why AI-driven strategies are often outdated upon execution08:16–09:45 — The issue with AI agreeing instead of challenging assumptions09:46–12:25 — Expert decision-making versus automated responses12:26–14:50 — Why founders relying solely on AI will struggle to scale14:51–16:10 — Will AI replace businesses—or expose weak leadership?16:11–18:45 — Where AI is most effective18:46–20:30 — Using AI to gather data without replacing expertise20:31–22:10 — Why AI should be one input, not the only source22:11–23:45 — Onboarding and operational risks of AI-generated systems23:46–24:55 — Why effective onboarding requires business-specific design24:56–26:00 — Final guidance for founders using AI strategicallyResourcesFollow @millionsweremade on Instagram for frameworks + strategy tipsConnect with Jessica:Instagram: @millionsweremade | @thejessicamarxWork with Jessica: Tailored PremierWebsite: Millions Were Made

Leidy Klotz has spent years studying a simple but overlooked phenomenon: when we try to improve something, our first instinct is to add rather than remove. He shares the Lego bridge experiment that sparked his research and explains how this additive bias scales from small design decisions to entire organizations. Over time, companies accumulate reporting lines, meetings, software, and policies without questioning what no longer serves them. Henrik and Jeremy explore how AI tools intensify this pattern. When generating ideas, launching projects, writing code, or producing content becomes effortless, the temptation to add grows stronger. The cost of producing information drops, but the cost of consuming it rises. Without guardrails, organizations risk what Leidy calls “organizational indigestion.” The discussion moves from insight to implementation. Leidy outlines practical ways to counteract additive bias, including stop-doing lists, default kill dates on projects, and designing environments that make subtraction visible and acceptable. In a world of accelerating AI output, leaders must intentionally decide what to remove, what to protect, and what truly matters. Key Takeaways:  We default to adding, not subtracting When faced with a problem, our instinct is to introduce something new. Subtraction rarely occurs to us, even when removing something would improve clarity and performance. Generative AI amplifies additive bias AI makes producing content, code, and ideas easier than ever. Without constraints, this frictionless creation can accelerate complexity instead of progress. More organizations die from indigestion than starvation Over time, companies accumulate tools, processes, and policies that quietly slow them down. The real risk is often not too few ideas, but too many unexamined additions. Architecture beats willpower Rather than relying on discipline alone, leaders can design systems that encourage subtraction. Stop-doing lists and default expiration dates make removal expected instead of exceptional. Protect what matters before adding more Before introducing new tools, workflows, or AI systems, leaders must define what is already working and worth protecting. Subtraction requires clarity about what should stay, not just what should go. Subtract: amazon/Subtract-Untapped-Science-Leidy-Klotz In a Good Place: amazon/Good-Place-Spaces-Where-Thrive/ Leidy's Speaking: https://leidyklotz.com/ Clip from Bear: Subtract - this is how you do better 00:00 Intro: Our Instinct to Add00:28 Meet Leidy Klotz01:15 The Subtract Idea02:56 Organizations Get Bloated03:49 Scandinavian Design Mindset04:32 New Book: In a Good Place05:59 AI Abundance and Indigestion08:12 Curate Context, Not More11:38 Cues and Stop-Doing Lists15:00 Default Debt and Kill Dates17:10 Odysseus Contracts and Biases21:28 Reengage the Physical World29:17 Bike Shedding and Priorities36:10 Making Is Thinking49:16 The Debrief

Macquarie has a neutral rating on CrowdStrike (CRWD) heading into earnings, though Steve Koenig says his firm sees strength in the cybersecurity firms. He believes AI risks to businesses offer long-term cash flow even though CrowdStrike and similar stocks got hit by the "SaaS-quatch." Tom White offers an example options trade for the cybersecurity firm. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/About Schwab Network - https://schwabnetwork.com/about

Irish small and medium-sized enterprises (SMEs) overwhelmingly believe artificial intelligence (AI) can benefit their business, yet most are still struggling to translate that opportunity into action, according to new research released today. The study, commissioned by Google in partnership with Amárach Research and based on a survey of 400 Irish SMEs, shows that while 80% believe AI can positively impact their business and 65% expect it to drive growth in 2026, adoption remains limited. The findings indicate a significant confidence and capability gap. The main barriers preventing greater AI adoption include fear of making mistakes (30%), lack of skills (27%) and cost (24%), with many business leaders unsure of where to start (16%). More than half (57%) believe they are behind competitors in adopting AI, while 50% are concerned their business could be left behind without it. The research also highlights that micro-businesses, longer-established firms and non-exporters are most at risk of falling behind, underscoring the need for targeted, practical support that meets SMEs' varying needs. The research is being launched today at an event hosted by Google Ireland at The Foundry as part of Local Enterprise Week. In partnership with the Local Enterprise Office (LEO) network, Google also announced the launch of AI Works for Ireland, a series of complementary, face-to-face regional events aimed at equipping SMEs with practical AI skills for business. The series begins today in Dublin, followed by events in Galway (April 30th), Cork (14th May) and Monaghan (28th May). Each event will feature insights from Google AI experts on how SMEs can use AI to drive growth, creativity and efficiency, alongside dedicated AI workshops offering support for founders and business leaders. As part of the initiative, Google and the Local Enterprise Office network are providing up to 10,000 AI scholarships to workers across Ireland. Delivered through Coursera, the Google AI Professional Certificate offers practical training across more than 20 real-world AI business use cases, from data analysis and content creation to customer communications. This research and initiative follows the release of the government's National Digital and AI strategy, which includes key pillars to empower people, workers and businesses to develop cutting-edge skills and foster digital and AI literacy, alongside growing a digitally innovative and competitive enterprise sector within Ireland. Minister of State for Trade Promotion, Artificial Intelligence and Digital Transformation, Niamh Smyth, TD, said: "AI has the potential to boost productivity and enhance competitiveness across Ireland's SME Sector. As we advance the ambitions of the recently published National Digital and AI Strategy, a key priority of my department is to fast?track enterprise adoption digital and AI technologies. Initiatives like this one, delivered in partnership with Google and the Local Enterprise Offices, are vital in ensuring that businesses of all sizes, in every region, have the skills and confidence they need to adopt AI at pace." Vanessa Hartley, Head of Google Ireland, said: "Irish SMEs are clear about the opportunity AI presents, but this research shows many are being held back by uncertainty rather than ambition. AI Works for Ireland is about closing that gap – providing practical, trusted support that helps businesses move from awareness to action, and from experimentation to real impact. At Google, we are committed to helping people and businesses across Ireland build the skills they need to succeed in an AI-powered economy. Through initiatives like this, we want to ensure SMEs have access to high-quality training, tools and expertise that empower them to grow, innovate and compete with confidence." Kieran Comerford, Chair of the Local Enterprise Offices, said: "Local Enterprise Week is all about helping businesses and entrepreneurs improve and showing them the resources available to them....

Today on the Driven by Data Dilemmas Show, host Catherine Dowden-King is joined by Ines Ashton, Digital & AI Strategy Director (CIO), The Compleat Food Group. Together, they talk about how to avoid falling for FOMO!Ines walks through her experience of staying laser-focused on her strategy, her role, and her priorities, avoiding falling for FOMO. They also discuss how to avoid falling for the "shiny object syndrome" in an AI-Powered world.Remember, you can send your own dilemmas to community@orbitiongroup.com, and Catherine will gladly read them to our expert guests to answer and provide their own insight on.Driven by Data Dilemmas is the spin-off show from the Driven by Data Podcast, released every Thursday. Catherine Dowden-King is joined by some of our best-loved senior leaders in the data, analytics and AI space to ask them to share their experiences, advice and thoughts on data dilemmas.

Listen to the FULL WEEKLY RUNDOWN at https://podcasts.apple.com/us/podcast/full-rundown-the-week-of-the-great-realignment/id1684415169?i=1000752320752

Listen to Full Episode at: https://podcasts.apple.com/us/podcast/ai-daily-news-rundown-the-anthropic-blacklist-openais/id1684415169?i=1000752107128India spent decades becoming the world's back office. Now, AI is starting to shrink that office into a single server rack. I'm Etienne Noumen, and this is your AI Unraveled Reddit Pulse.A viral discussion is erupting in the r/ArtificialInteligence community centered on a sobering report from the New York Times. The reality is stark: AI is no longer 'promising' to automate white-collar work—it is actively doing it. For a country like India, which built its tech powerhouse status on BPO, customer service, and entry-level coding, this isn't just a market shift; it's being described as a 'historical critical transition.'The Reddit community is calling this a 'Tsunami' that is hitting everywhere at once. One of the top-rated comments points out the 'Demographic Disaster' potential: India has a massive, young population that relies on these 'ladder' jobs to enter the middle class. If the bottom rungs of that ladder—data entry, basic debugging, and Level 1 support—are replaced by agents like Claude or Perplexity, the entire economic engine of the subcontinent faces a stall.Other users are noting that the 'Cheap Labor' advantage has officially evaporated. When an AI agent costs pennies an hour and never sleeps, even the most efficient human workforce cannot compete on price. The race is now on: can India upskill 5 million tech workers before the 'Back Office' disappears entirely?This episode is made possible by our sponsors:

Today our guest is Sean Beaverson, Director of Technology at Orono Public Schools. We talk about how schools can use AI in education to reduce teacher workload and reclaim instructional time. Sean shares a practical approach to lowering cognitive load by offloading administrative tasks to AI, allowing educators to repurpose time toward relationships, collaboration, and deeper learning. In this conversation, Sean offers clear reminders for leaders working to reduce workload and restore professional time: AI can reduce teacher workload by offloading low-cognitive-load administrative tasks. Reclaimed time must be intentionally repurposed, or it will quickly disappear. AI works best as a thought partner that enhances professional judgment, not replaces it. Reducing cognitive load allows teachers to focus on relationships and high-impact instruction. The goal of AI in education is not efficiency alone, it is strengthening human connection. Learn More About CharacterStrong:  Access FREE MTSS Curriculum Samples Request a Quote Today! Learn more about CharacterStrong Implementation Support Visit the CharacterStrong Website   About Sean Beaverson:  Sean Beaverson is the Technology Director for Orono Public Schools, where he leads the district's work to make technology supportive, reliable, and centered on the needs of students and staff. With 25 years in education, he focuses on clear communication, thoughtful innovation, and helping teachers and students thrive in a rapidly changing digital world.

What happens when Supreme Court tariff rulings collide with AI governance, agentic commerce, and the future of wholesale distribution?In this episode of Around the Horn in Wholesale Distribution, Kevin Brown, Tom Burton, and Nick Pericle unpack the legal shockwaves from the IEEPA tariff decision, the 150 day Section 122 pivot, and what it really means for distributors, manufacturers, and B2B buyers.What You'll Learn:Why the Supreme Court's IEEPA tariff ruling does not mean tariffs are over and how Section 122 changes the timelineWho ultimately pays tariffs in a B2B supply chain and why potential refunds could create massive downstream complexityWhat AI governance actually means for wholesale distributors beyond just “using Copilot”How agentic AI and autonomous commerce could reshape B2B eCommerce expectationsWhy API first architecture, data integration, and disciplined procurement are now competitive advantagesHow to drive organic growth through white space analysis, cross sell strategy, and AI powered revenue expansionEpisode Highlights:03:45 – Supreme Court rules against IEEPA tariffs and what Section 122 means for distributors12:20 – If tariffs are refunded, who actually gets the money in a multi layer supply chain?24:10 – AI governance versus cybersecurity: what distributors are missing36:55 – Agentic AI in action: autonomous purchasing and the future of B2B commerce49:30 – Why ERP is not the single source of truth anymore58:40 – Organic growth, white space strategy, and becoming a “Moneyball distributor”01:08:15 – Robotics, humanoid automation, and the warehouse of 203001:18:50 – Long term economic outlook: deficit reduction versus stimulusMeet the Guest:Nick Pericle is Founder of Tenexity, where he helps wholesale distributors build AI governance frameworks, digital transformation strategy, and execution roadmaps. He works closely with distribution leaders navigating AI adoption, technology procurement, and long term competitive positioning.Tools, Frameworks, and Strategies Mentioned:AI Governance Frameworks for distribution organizationsAgentic AI tools such as Perplexity Comet, OpenAI Atlas, and Claude browser agentsAPI first integration strategy across ERP, CRM, WMS, and eCommerce platformsRevenue Expander and white space analysis for organic growthMoneyball distribution strategy using predictive analyticsSection 122 of the Trade Act of 1974 and IEEPA tariff authorityClosing Insight:Tariffs may dominate the headlines, but the deeper story is discipline. Discipline in technology procurement. Discipline in AI governance. Discipline in organic growth. And discipline in building systems that integrate data instead of fragmentinLeave a Review: Help us grow by sharing your thoughts on the show.Learn more about the LeadSmart AI B2B Sales Platform: https://www.leadsmarttech.com/ Join the conversation each week on LinkedIn Live.Want even more insight to the stories we discuss each week? Subscribe to the Around The Horn Newsletter.You can also hear the podcast and other excellent content on our YouTube Channel.Follow us on Facebook, Twitter, Instagram, or TikTok.

Facts: AI started mainly as a marketing tool.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Microsoft's Bundling Regulatory Issues, Q&A (Darian Chwialkowski, Third Stage Consulting) Who Are the Best System Integrators In the Market (Guest, Third Stage Consulting) SAP RISE We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Jeff Lunsford, CEO of Tealium, says that as enterprises rush to deploy agentic AI, batch processing and siloed systems won't cut it: AI strategy lives or dies on the quality — and speed — of your data. In this episode, we explore what a true real-time data layer looks like, why most companies are underutilizing their marketing tech, and how brands must prepare for a world where AI agents — not humans — are initiating customer interactions. From identity tokens and authentication to agent-to-agent negotiation, we look at what's coming next and what that means for marketers. For Additional Reading:  Tealium achieves AWS Generative AI Competency, advancing enterprise AI at scale: https://www.globenewswire.com/news-release/2026/02/17/3239448/0/en/Tealium-achieves-AWS-Generative-AI-Competency-advancing-enterprise-AI-at-scale.html Tealium Adds AI Features for Real-Time Customer Engagement: https://www.cmswire.com/customer-data-platforms/tealium-adds-ai-features-for-real-time-customer-engagement/ The secret to happy customers is… your data layer: https://martech.org/the-secret-to-happy-customers-is-your-data-layer/ More about Jeff: https://www.linkedin.com/in/jefflunsford/   Listen on your favorite podcast app: https://pod.link/1715735755

Watch the entire episode on YouTube here. Everyone on YouTube is telling you to use AI to slap together a digital product and start making money overnight. I'm going to be honest with you — most of those people are selling you a fantasy. I'm not saying AI isn't powerful. It is. But the way most people are using it, they're setting themselves up to fail. And I can prove it because I've watched it happen hundreds of times. In this post, I'll show you the simple AI strategy that took one creator from a $27 product to $11,000/month — and break down exactly how you can do the same. Test Fast With MiloTree You're not just creating any AI product — you're creating a specific product for a specific person that hits a specific trigger. And you can test this incredibly fast. In my MiloTree dashboard, I click "digital product," give it a name, a price, and a short description. With the press of a button, MiloTree generates an AI sales page for me. I can tweak a few things and I'm done. Live sales page, ready to share. 15 minutes, start to finish. No website, no complicated tech. If it sells, great — build on it. If it doesn't, no problem. Tweak it or try another idea. The speed of testing is everything when you're starting out.

Key Takeaways Session overview: Newell will be leading a session as part of the M365 & Work IQ masterclass, "Executive's Guide to Rolling Out M365 Copilot." The session will focus on how organizations can move beyond AI experimentation to build a secure and productive AI strategy. "AI is incredibly powerful," he explains, "But you need to just make sure that you're set up to take advantage of it, and then you build some organizational capacity to do it." AI executive briefings: For customers and other leaders, Newell shares executive-level AI education and practical guidance, grounding other leaders in what AI, LLMs, and Microsoft's tools can do for productivity. He notes that some of these learnings will be a part of his session at the event. Final thoughts: In closing, Newell adds that he's looking forward to his session and hopes attendees bring questions focused on practical guidance. Visit Cloud Wars for more.

Your board has an AI strategy. It's probably rubbish. Nathan Bell has spent 25 years delivering transformation programmes inside the world's biggest telcos. Now a Partner at Kearney, he's the person companies call when the proof-of-concept graveyard keeps growing and the CFO starts asking uncomfortable questions. In this episode: why most AI programmes are expensive theatre, how to actually get ROI, and why your change management track record matters more than your technology choices. We also get into agentic AI gone wrong — a recruiting agent that only wanted to hire golfers, a CEO town hall that triggered a queue at HR, and an AI agent that doxxed a developer and got its creator hired by Sam Altman. Make of that what you will. Plus rapid-fire telco takes and a deeply scientific Australia vs Netherlands lifestyle quiz that ended in a draw. Time Stamps: 00:00 — AI Strategy Hype vs Reality: Why Most Exec Talk Is Rubbish 00:37 — Is This AI Wave Different from Dot-Com, Cloud, and 5G? 02:19 — From Boardroom Buzz to Production: The Proof-of-Concept Trap 03:44 — How to Actually Get ROI: Start Small, Make Big Bets, Fund Like a VC 06:47 — Low-Hanging Fruit: Internal Knowledge, Customer Service, and Procurement 09:16 — Metrics That Matter: MVP Milestones Over 2-Year "Goals"  11:21 — Making the VC Model Real: Phased Rollout and Cultural Change 13:26 — Market Whiplash: When AI Adoption Threatens Your Revenue Model 14:51 — AI as a Business Capability, Not a Shopping List of Tools 16:10 — Agentic AI and the Human Factor: Bias, Process Drift, and Set-and-Forget Myths 21:10 — The People Side of Agents: Fear, Trust, and How Leaders Miscommunicate 24:41 — Why AI Transformations Fail: Change Management and HR as the Quarterback 26:44 — When Agents Go Rogue: The Python Library Incident and What It Signals 28:28 — Who's Responsible for AI Agents? Why Human-in-the-Loop Still Matters 29:19 — When AI Monitors AI: The Two-Agent Marketing Campaign Story 31:03 — Legacy, Culture and Operating Model: Why Big Firms Struggle to Adopt AI 33:49 — Ethics, Bias and Copyright: The Legal Minefield of Generative AI 35:40 — Who's Winning with AI and Why: Consumer Goods, Banks and Telcos 38:01 — Regulation Reality Check: EU AI Act, Vendor Audits and the Air Canada Case 39:37 — Where Telcos Should Start with AI: Customer Service, Vendors and Billing 41:41 — Transformation Lessons from Telcos: People, Forgive the Past, Progress Over Perfection 44:39 — AI Hype vs Jobs Reality: Using AI to Augment People, Not Just Cut Headcount 46:51 — What Still Motivates Transformation Leaders + Rapid-Fire Telco Takes  51:49 — Finale: Australia vs Netherlands Quickfire (and a Perfect Tie)

In this episode, Jonathan Ma, CFO of Sutter Health, discusses navigating Medicare and Medi Cal uncertainty, investing in people and digital innovation, and pursuing strategic growth to expand access and scale the system's nearly $20 billion mission across California and beyond.

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Oracle's Cloud Supply Chain Capabilities, Q&A (Darian Chwialkowski, Third Stage Consulting) Industry 4.0 Why Software Best Practices Do Not Exist   We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

Guests: Tim Kreytak, CEO and Co-Founder of Ironside, one of North America's leading analytics and data consulting firms and a multiple Inc. 5000 honoree. Jason Breazeale, Vice President of Technology at Burn Boot Camp, a rapidly growing fitness franchise with nearly 400 locations. Overview: Yes, your company needs to be using AI. But before you start buying subscriptions and upgrading your tech stack, you need to understand what actually drives successful AI integrations: a bedrock of solid data. Without clean, accessible, and trusted data, even the most advanced AI tools will fail to deliver results. On today's show, Tim Kreytak and Jason Breazeale discuss why you need BIG data mastery before AI can help your company Make BIG Happen.

In today's Cloud Wars Minute, I break down ServiceNow's latest AI expansion with Anthropic and what it means for enterprise workflows.Highlights00:04 — I recently reported on ServiceNow's expanded collaboration with OpenAI. That agreement makes OpenAI's models the go-to solution for companies running upwards of 80 billion annual workflows on the ServiceNow platform.00:17 — Now, ServiceNow has announced that Anthropic's Claude models will be integrated into core ServiceNow workflows for tasks like app development, with Claude serving as the default model powering the ServiceNow Build Agent — the company's tool for easy development of agentic workflows.00:37 — This is what ServiceNow Chairman and CEO Bill McDermott had to say about the announcement: “ServiceNow and Anthropic are turning intelligence into action through AI-native workflows for the world's largest enterprises ... Together, we are proving that deeply integrated platforms with an open ecosystem are how the future is built.”01:12 — In addition to Build Agent, ServiceNow is integrating Claude alongside purpose-built solutions throughout the implementation lifecycle, with the aim of achieving a 50% reduction in the time it takes customers to deploy solutions built on the ServiceNow AI platform.01:31 — ServiceNow and Anthropic are also building agent-based workflows for specific industries, including healthcare and life sciences, for tasks such as research and analysis. Just as it has done with OpenAI, ServiceNow is integrating Claude directly into workflows — and it's this integration that can lead to much better outcomes for AI initiatives.02:03 — By making these model choices the default, ServiceNow removes the guesswork from customer decision-making and enables customers to rely on the company's expertise to achieve the best results. Visit Cloud Wars for more.

Dr. Nyree Whitley, Chief Clinical Officer at mydentist & Dr. Gordon Barfield, Senior Clinical Manager at Overjet discuss: What a clinician-first diagnostic strategy looks like The dental regulatory & clinical environment in the UK Advice for clinical leaders evaluating AI in dentistry Much more To learn more about Overjet AI you can visit https://www.overjet.com/ and book a demo or connect with Dr. Barfield on Linkedin - https://www.linkedin.com/in/gordon-barfield-dds-ms-676a9516/ To learn more about mydentist you can visit https://www.mydentist.co.uk/ or connect with Dr. Whitley on Linkedin - https://www.linkedin.com/in/nyree-whitley-2a85b85a/  Subscribe to our channel for more episodes and stay updated on the latest DSO news, insights, and events! If you like our podcast, please give us a ⭐⭐⭐⭐⭐ review on iTunes https://apple.co/2Nejsfa and a Thumbs Up on YouTube.  

AI developments legit change hourly.That means what business leaders can do changes daily. And drastically.As soon as you FINALLY learn a new AI technique, it's often already outdated, and approvals to use it at work can take forevvvvver.Solution: know what's coming.That's why you have me.I'm not a mind reader, but I spend almost all day every day talking with the people building AI, using it myself, and teaching others. It's literally my job.Each year I publish predictions and a roadmap because you don't have 10 hours a day to keep up.(I do.)So, today is part 1 of one of our most important shows of the year: Our AI Predictions and Roadmap series. AI Agent Crash, Software Collapses and Non-Human Economies. 2026 AI Prediction and Roadmap Series. Vol 1Let's get it.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:2026 AI Lab-University Data PartnershipsVenture Capital Firms Shift to Venture StudiosEnterprise Demand for Grounded-Only AI ModelsGoogle AI Winning Short-Term, Building Long-TermInternal Agent-to-Agent Enterprise EconomiesSoftware Stocks and ETFs Face 2026 DrawdownMessaging as Universal AI Agent InterfaceMajor 2026 National AI Agent Crash PredictedFortune 500 Shadow AI Data BreachesTimestamps:00:00 "AI Trends and Roadmap Insights"04:39 2026 AI Roadmap Series09:28 "AI Impact on U.S. Colleges"12:11 "AI Strategy and Training Services"16:36 "Future of Venture and Software"18:45 "Three Sources for AI Models"21:56 "Google's Multimodal Model Dominance"24:15 "Google's Robotics & AI Advances"27:17 Agent Cost Attribution Systems32:56 "Messaging as AI Communication Interface"36:42 "Autonomy Crisis and Media Impact"38:13 "AI Surge and 2026 Crash"41:26 Choosing the Right AI Tools44:27 "AI Governance and Accountability Essentials"49:36 AI Disruption and Safety Warning52:27 AI Automates Competitive Analysis Tasks53:55 "AI Drives 24/7 Agent Ops"58:11 "Sharing Notes and Support"Keywords: O2026 AI predictions, AI roadmap, AI agent crash, software collapse, non-human economies, AI agent,Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and access all episodes there: StartHereSeries.com 

The Transformation Ground Control podcast covers a number of topics important to digital and business transformation. This episode covers the following topics and interviews:   Why Oracle is Cutting Up to 30,000 Jobs, Q&A (Darian Chwialkowski, Third Stage Consulting) The Anatomy of an ERP Project Failure (Fred Hessler, Third Stage Consulting) Why Your Business & IT Operations Are in Conflict We also cover a number of other relevant topics related to digital and business transformation throughout the show.  

In this Retail Technology Spotlight Series episode, Chris Walton sits down with Experion Technologies' Mahesh Vijayaraghavan (VP of Retail & Consumer Goods) and Siraj Alimohamed (Global Head of Data & AI) to cut through the AI hype. From platform-first strategies to the pilot fatigue epidemic, Mahesh and Siraj break down why AI is overhyped at the dashboard level but underappreciated where it matters most, i.e. in 6 a.m. inventory decisions and real-time store operations. Learn why building AI like a muscle beats treating it like a project, how to escape automation chaos, and why your digital experience is about to become your biggest competitive advantage.

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

Microsoft is burning through billions on AI, but Wall Street is finally demanding to see where the payoff is. The earnings announcement triggered a $357 billion valuation wipe-out, the largest in Microsoft's history and the second-largest in history overall (Nvidia managed to lose $593 billion in value in the wake of DeepSeek in early 2025).Windows Windows 11 has over one billion users - and, surprise, it got their faster than Windows 10 without any of the shenanigans Microsoft to address the quality issues in Windows 11 in 2026 There is already evidence that Microsoft is trying to make Windows 11 suck less: Recent OneDrive changes that address a key ensh*ttification, and let's not forget all those security advances What did Microsoft really promise? Not much Microsoft has new EVPs for Security and Quality Microsoft belatedly delivered the January Week D update last Thursday, a preview of this month's Patch Tuesday Dev and Beta builds both deliver Mark Russinovich's sysmon tool Microsoft earnings deep dive Microsoft reported a net income of $38.5 billion on revenues of $81.3 billion in the quarter ending December 31. Those figures represent gains of 60 percent and 17 percent, respectively, year-over-year Earnings analysis: All eyes are on AI and no one is happy Microsoft spent $37.5 billion on AI infrastructure (capex) in the quarter, up 66 percent YOY, and it's on track to spend $150+ billion in the fiscal year Every single question was about this and how it will ever recoup the costs There are now 15 million paid Microsoft 365 Copilot seats out of 450+ million Microsoft 365 seats OpenAI is Microsoft's biggest Azure customer, but it's unclear if there is any real money there because of accounting tricks Windows, Edge, and Bing all "gained share," PC maker revenues were up just 1 percent, the Windows 10 upgrade cycle was mostly a bust (it's likely that most of it was tied to RAM pricing fears, too) Xbox fell off a cliff with content and services revenues down 5 percent in a holiday quarter somehow and Xbox hardware revenue declined an astonishing 32 percent YOY Standalone Office 2025 suite was a surprise hit, Hood is curious if that continues Microsoft 365 "cost of business" up 10 percent YOY because of AI costs AMD revenues up 34 percent to $10.3 billion Apple delivers record revenues of $143.8 billion; iPhone made more revenues by itself than all of Microsoft AI Microsoft is going to basically make an app store for content makers who wish to be paid for use by AI Anthropic advertises that Claude will be advertising-free, unlike ChatGPT The next Firefox will include the promised AI kill switch and Vivaldi "extends the middle fingerˮ to AI Xbox and games AMD reveals next Xbox console in 2027 We're getting a solid collection of Xbox Game Pass titles for the beginning of February Battlefield 6 was the best-selling shooter of 2025 and EA made $1.9 billion in Q4 Epic Games has big plans for its PC launcher/store Nintendo has now sold 17 million Switch 2s as OG Switch hits 155 million units Tips and picks Tip of the week: Make OneDrive Folder Backup work for you App pick of the week: Bitwarden (TWiT sponsor) RunAs Radio this week: Getting Started using Purview with Erica Toelle Brown liquor pick of the week: Glendronach Ode to These show notes have been truncated due to length. For the full show notes, visit https://twit.tv/shows/windows-weekly/episodes/969 Hosts: Leo Laporte, Paul Thurrott, and Richard Campbell Sponsor: zscaler.com/security

(0:00) Introducing David Sacks and Michael Kratsios, moderated by Maria Bartiromo (1:21) The cost of infrastructure build-out, energy challenges (12:41) Where AI will be most impactful (22:39) The China Threat, globalization strategy (39:12) America's entrepreneurial AI outlook Follow Michael: https://x.com/MichaelKratsios Follow Maria: https://x.com/MariaBartiromo Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect