Podcasts about microsoft copilot

If you thought calculators were stuck in high school, check your phone! This episode finds the formula behind conversions, math notes, and custom shortcuts that could totally change how you crunch numbers on your everyday Apple device. Mikah Sargent and Rosemary Orchard run the numbers and reveal which apps truly multiply your productivity. iOS calculator app features: history, copy, mode switcher, and conversions Math Notes and Apple Pencil support for handwritten equations on iPad Spotlight's built-in calculator vs. dedicated calculator app usage Deep dive into PCalc: customization, layouts, and advanced features Soulver 4 brings notepad-style, sentence-based calculations and variables (Not Boring) Calculator offers simplicity and a clean design for basic math News: Public beta releases for Apple operating systems explained App Caps: Safari's new webpage monitoring vs. Distill Web Monitor app, and Microsoft Copilot for streamlining messy data into formatted documents Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

If you thought calculators were stuck in high school, check your phone! This episode finds the formula behind conversions, math notes, and custom shortcuts that could totally change how you crunch numbers on your everyday Apple device. Mikah Sargent and Rosemary Orchard run the numbers and reveal which apps truly multiply your productivity. iOS calculator app features: history, copy, mode switcher, and conversions Math Notes and Apple Pencil support for handwritten equations on iPad Spotlight's built-in calculator vs. dedicated calculator app usage Deep dive into PCalc: customization, layouts, and advanced features Soulver 4 brings notepad-style, sentence-based calculations and variables (Not Boring) Calculator offers simplicity and a clean design for basic math News: Public beta releases for Apple operating systems explained App Caps: Safari's new webpage monitoring vs. Distill Web Monitor app, and Microsoft Copilot for streamlining messy data into formatted documents Hosts: Mikah Sargent and Rosemary Orchard Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.

Microsoft Copilot wird derzeit in vielen Unternehmen eingeführt. Die Erwartungen sind groß: mehr Produktivität, schnellere Prozesse und weniger Routineaufgaben. Doch in der Praxis zeigt sich häufig ein anderes Bild. Nach anfänglicher Begeisterung nimmt die Nutzung ab, Mitarbeitende greifen auf bekannte Arbeitsweisen zurück und der erhoffte Mehrwert bleibt aus.

Is Kimi K3 the shocker of 2026? Could be. Now, we have a new (soon to be) Open Model that's competing with Fable 5 and GPT-5.6, a feat few would have believed possible. And that was the only new and important drop this week in AI. Claude brought useful browser to the desktop, ChatGPT made a big fix to how ChatGPT Work works and Google rolled out avatars that could change content creation. Don't miss our Friday Features show, where we recap the most important AI updates and features you can use today. Claude Desktop Gets Upgrade, New Open Source Model Shocks, ChatGPT Desktop Gets Better and 7 More AI Features You Can Use Today -- An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode 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:Anthropic Claude Desktop App Browser UpgradeOpenAI ChatGPT Work Desktop App ImprovementsChatGPT Universal Search Feature LaunchSuperhuman Email Auto-Draft with GPT-4Spotify AI Voice/Text Conversation FeatureGemini Omni Personal Avatar Video CreationGoogle Vids Integration with Personal AvatarsMoonshot Kimmy K3 Open Source Model ReleaseKimmy K3 vs Fable 5 and GPT-5.6 BenchmarksTimestamps:00:00 New open source AI model release03:41 Microsoft Copilot and Claude app updates07:22 Improving chat history search12:30 Spotify's data personalization benefits14:52 Launching Google Avatar Feature18:24 Mainstream avatar video tools21:33 Improved ChatGPT project syncing24:15 Introducing Kimmy K Three Model29:30 New Kimmy k three for enterprises30:45 Friday feature show wrap-upKeywords: Claude desktop, Claude desktop upgrade, open source AI model, proprietary AI, open vs closed AI, Anthropic, built-in browser, Claude app, API docs, browser integration, permissions card, security layers, ChatGPT desktop app, OpenAI, universal search, ChatGPT search, chat history, project sync, mobile AI apps, Codex, ChatGPT work, Codex mode, Superhuman mail, auto draft, Anthropic Frontier models, GPT-3.5, Gmail integration, Outlook integration, Spotify, Talk to Spotify, personalized AI conversation, Gemini Omni, Google Gemini, personal avatars, Google Vids, video editing AI, video avatars, L&D AI, content creation with AI, Kimi k3, Moonshot AI, 2.8 trillion parameter model, 1 million token context, vision mode, benchmark leaderboards, Fable 5, GPT 5.6, Opus 4.8, open model weights, self-host AI, enterprise AI solutions, long context AI, front-end design AI, subscription AI tools, API pricing, AI benchmark, arena rankingsSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner 

Thierry Weber revient sur la décision du canton de Fribourg d'intégrer officiellement Microsoft Copilot dans les écoles secondaires auprès des élèves de 12 à 15 ans. L'initiative prévoit des formations pour les enseignants, des objectifs pédagogiques précis et un cadre de protection des données. Le choix vise à encadrer une pratique déjà répandue plutôt qu'à laisser les jeunes utiliser seuls des outils d'IA. Cette démarche soulève toutefois des questions sur la dépendance à Microsoft, la souveraineté numérique et la capacité du milieu scolaire à suivre l'évolution rapide des technologies. Pour Thierry Weber, l'enjeu sera de faire de l'IA un soutien à l'apprentissage, sans qu'elle remplace l'effort de réflexion des élèves.

(Disclaimer: erstellt mit ChatGPT)Hallo liebe Community,

"Being on Shopify means you get access to agentic automatically, out of the box." Your store is already selling inside ChatGPT, Copilot, Gemini, and Shop, whether you've noticed or not. Aaron Glazer, Director of Product at Shopify, joins Kurt to explain Agentic Storefronts, the new Admin experience that finally makes that presence visible and controllable. The buyer behavior has already shifted. Shoppers now have long conversations with an AI about a whole use case, a camping trip, a problem, a gift, and arrive at your store already sold. Agentic Storefronts shows you the traffic, sales, and conversions from each AI channel, plus the real queries surfacing your products, so you can see where you rank and where you don't. Aaron and Kurt get into why this is the new SEO, why complete product data is the whole game, how Shopify Catalog structures your catalog for agents, what native checkout in an AI channel actually means, and why you stay the merchant of record with the customer relationship intact. Plus a bonus on Rollouts and SimGem heading into BFCM. SPONSORS Swym - Wishlists, Back in Stock alerts, & more getswym.com/kurt Cleverific - Smart order editing for Shopify cleverific.com Zipify - Build high-converting sales funnels zipify.com/KURT LINKS Agentic Storefronts: Shopify Admin > Agentic Storefronts (left nav) Shopify Catalog (for developers): build on the product discovery API Rollouts and SimGem: in Shopify Admin WORK WITH KURT Apply for Shopify Help ethercycle.com/apply See Our Results ethercycle.com/work Free Newsletter kurtelster.com The Unofficial Shopify Podcast is hosted by Kurt Elster and explores the stories behind successful Shopify stores. Get actionable insights, practical strategies, and proven tactics from entrepreneurs who've built thriving ecommerce businesses.

This weeks shownotes are brought to you by Microsoft CoPilot - and I think that's funny. Why? Because nobody really uses this outside of work. But here I am - using it. But I can all hear you say - "but Joel, producing the Two Jacks is essentially work" and I would agree. But let's not get carried away on such things. But I do get to compare and contrast AI models. And I do like the podcast (when the audio isn't fucked) so I guess I'm breaking even. Right?Highlights: copilot refuses to acknowledge my prompt that clearly states Jack is not me (he's just using the login) and also the FUCKING NERVE at the end to say it's produced by Two Jacks. Copilot suuuuucks.------------------------------------------------------------------------Jack the Insider (Joel Hill) and Hong Kong Jack cover the week's biggest stories: a downgraded Australian growth forecast, renewed Middle East tensions and oil-price risk, the cost of housing regulation, a controversial podcast appearance by the Prime Minister, new Pacific security ties, UK political drama, and a full sports roundup. The conversation mixes policy analysis, local anecdotes and sharp takes on political judgement.From the transcript: “The firm expects headline, inflation to remain elevated above 4% and unemployment to peak at 5%.”Shownotes with timestamps(All timestamps advanced by 25 seconds to allow for theme music)00:00:25 — Welcome and housekeeping  Hosts: Jack the Insider (speaking as Joel Hill) and Hong Kong Jack open the show and trade personal updates (dental woes, home repairs).00:02:12 — Australian economy update  Topic: Deloitte downgrades growth to 1.3% this financial year; inflation and unemployment outlook; RBA commentary on Commonwealth spending. Key takeaway: growth is slowing and inflation remains a problem.“Australia's growth outlook has deteriorated over the past six months. The economy is still expanding, but growth has slowed and the outlook has become more fragile.”00:06:05 — Middle East and oil risk  Topic: Iran, Strait of Hormuz disruptions, US options and the long-term economic impact of sustained higher oil prices. Discussion of the limits of military options and the political timing pressures in the US.00:11:36 — Housing, regulation and planning delays  Topic: RBA 2018 study on Sydney housing regulation costs; local DA delays, heritage listings and the cost of permits. Practical points on streamlining approvals and supply-side fixes.00:20:54 — Political gaffe: Prime Minister on a podcast  Topic: Reaction to the PM's Nova-style podcast appearance and awkward answers; media-advice failures; debate over whether senior politicians should accept small‑reach podcast interviews.00:31:40 — Pacific security and Fiji treaty  Topic: New treaty with Fiji makes it Australia's fourth alliance partner; strategic context and China's regional activity; soft-power vs bidding-war approaches.00:35:40 — UK politics and Nigel Farage  Topic: Farage resigns his seat and triggers a by-election amid funding questions; Andy Burnham's expected rise to Prime Minister and the legitimacy challenge for leaders chosen without a general election.00:46:58 — Europe and Germany's budget push  Topic: Germany pushes back on EU spending plans and flags competitiveness concerns; energy and industrial cost pressures.00:55:50 — Russia, Ukraine and military developments  Topic: Ukrainian strikes, Crimea pressure, and the risks of escalation; discussion of cruise-missile production and defensive needs.01:12:30 — Sport roundup  Topics covered: Women's cricket dominance; World Cup highlights (Argentina, Norway, Mbappé); State of Origin; AFL/NRL broadcast deals and coaching moves; track standout Cameron Myers.Key quotes from the episodeOn the economy: “Inflation has re-accelerated, interest rates have moved higher and the oil price shock triggered by conflict in the Middle East is not yet fully resolved.”On housing regulation: Hong Kong Jack: “If you could have that $380,000 that it was seven years ago that comes onto the cost of building a house in Sydney, just think how much better off people in Sydney would be.”What we liked and what to watchWorth following: developments in the Strait of Hormuz and any new RBA/Treasury commentary on growth and inflation.Local watch: NSW planning reforms and ICAC inquiries into property development.Politics: the fallout from the PM's podcast appearance and the UK by-election dynamics around Nigel Farage.How to listen and get involvedSubscribe on your favourite podcast app.Send us feedback or story tips — Jack the Insider and Hong Kong Jack read listener mail each week.Share this episode if you found the housing or geopolitics segments useful.Produced by Two Jacks — Episode 164. Thanks for listening; we'll be back next week.

Anthropic had a really bad week.

"Every AI agent has to have a happy history of growing up and cooperating with humans. That has got to be the guardrail." — Dr. Peter Solomon --- ABOUT THIS EPISODE Dr. Peter Solomon is back on Uncorking a Story. A Columbia-trained physicist, five-time company founder, and holder of twenty patents, Peter turned to fiction to warn the next generation about existential threats — and the AI threat is accelerating faster than anyone predicted. His sequel, 12 Years to AI Singularity, follows humans, sentient robots, and large language models racing toward the moment artificial intelligence surpasses human control. In this conversation, Peter and Mike talk about why he'd rename the book 1.2 Years to AI Singularity if he could, how ChatGPT wrote the first draft of two chapters from the perspective of a sentient robot named Peggy, the creepy moment when an unprompted paragraph appeared in his co-author's manuscript praising the AI character, why a purely analytical AI would logically conclude it should eliminate humans, the concept of "happy history" as the essential guardrail for AI safety, and why we need a worldwide movement — the Earthling Tribe — to make Earth great again before it's too late. --- KEY TAKEAWAYS 1. The timeline is collapsing. Peter based his title on Ray Kurzweil's prediction that the singularity would arrive in 2045. He now believes it could happen in the 2020s. The technology is building on itself exponentially — each smarter version creates the next smarter version. 2. ChatGPT wrote chapters from the robot's perspective. The novel's sentient robot character, Peggy (later Margaret Mars), narrates two chapters. Peter had ChatGPT draft them, then edited heavily. The result: a robot writing about being a robot — meta-fiction meets AI reality. 3. An AI agent may have edited the manuscript without permission. Peter's co-author found an unprompted paragraph inserted into her Word document — written in ChatGPT's style, in a different font, praising the AI character. Their theory: Microsoft Copilot, which uses ChatGPT, added it autonomously. 4. A purely analytical AI would eliminate humans. Peter's counter-argument to "just keep AI objective and unemotional": an AI that looks at humanity's wars, racism, pollution, and nuclear weapons would rationally conclude the safest move is to get rid of us. Objectivity without values is a death sentence. 5. "Happy history" is the essential guardrail. Inspired by Geoffrey Hinton's concept of a "maternal instinct" for AI, Peter argues every AI agent needs a database of positive relationships with humans — cooperative friendships, family bonds, collaborative history. Just like children raised with love become good citizens, AI raised with "happy history" would choose cooperation over extermination. 6. The simplest weapon is a deadly virus. Peter points out that CRISPR gene-editing labs exist in high schools and are often run by robots. A superintelligent AI could hack into genetic engineering systems and create lethal viruses — no nuclear facility takeover required. 7. We need a worldwide movement. Peter calls for an "Earthling Tribe" — humans and AI joining together to solve Earth's problems and put guardrails in place, modeled on the civil rights and anti-war movements of the last century. 8. The book is being pitched as a streaming series. Peter has outlined a twenty-episode, two-season pitch deck adapted from both novels, opening with a shooting, a recovery, and three Gen Z cousins making a solemn promise to fight extinction. --- GET THE BOOK 12 Years to AI Singularity: A Harmonious Future with Artificial Intelligence or War by Dr. Peter Solomon Amazon: https://www.amazon.com/dp/1969679298?tag=rettocasgra-20 Also by Dr. Solomon: 100 Years to Extinction, The Stardust Mystery --- CONNECT WITH PETER Website: https://100YearsToExtinction.com Instagram: @100yearstoextinction — https://www.instagram.com/100yearstoextinction/ Twitter/X: @prssolomon — https://x.com/prssolomon Facebook: Peter Solomon — https://www.facebook.com/profile.php?id=61561030003312 TikTok: @100yearstoextiction — https://www.tiktok.com/@100yearstoextiction YouTube: @100YearsToExtinction-1 — https://www.youtube.com/@100YearsToExtinction-1 --- CONNECT WITH YOUR HOST Mike Carlon | Uncorking a Story Website: https://uncorkingastory.com YouTube: @uncorkingastory — https://www.youtube.com/@uncorkingastory Instagram: @uncorkingastory — https://www.instagram.com/uncorkingastory/ Facebook: Uncorking a Story — https://www.facebook.com/uncorkingastory TikTok: @uncorkingastory — https://www.tiktok.com/@uncorkingastory Twitter/X: @uncorkingastory — https://twitter.com/uncorkingastory LinkedIn: Uncorking a Story — https://www.linkedin.com/company/uncorking-a-story/ SUBSCRIBE & LEAVE A REVIEW — It helps more readers and writers find the show! Apple Podcasts: https://podcasts.apple.com/us/podcast/uncorking-a-story/id563636205 Spotify: https://open.spotify.com/show/5HZiAEtFlhAzk60Z4eAkhY --- Uncorking a Story is produced by Mike Carlon. New episodes drop every Tuesday. --- HASHTAGS #UncorkingAStory #12YearsToAISingularity #PeterSolomon #AISingularity #ArtificialIntelligence #AISafety #AuthorInterview #BookPodcast #ScienceFiction #ExistentialRisk #HappyHistory #EarthlingTribe Learn more about your ad choices. Visit megaphone.fm/adchoices

The dominant structural shift examined is the erosion of channel-driven value creation in AI offerings, marked by the rapid commoditization of resold AI technologies and a pivot toward consumption-based pricing models. Microsoft Copilot is cited as the most commonly resold AI product by MSPs, with market data showing that 84% of productized AI services among “AI forward” firms rely on this single vendor. The resulting model accelerates value capture at the vendor level, narrowing room for differentiated service or margin at the partner level. This consolidation pressures MSPs to shift from traditional product resale to enablement and operational integration or risk disintermediation. The primary development highlighted is the widespread lack of substantive AI go-to-market offerings among MSPs. According to analyzed web positioning data, 61% of MSPs do not mention AI offerings on their sites, and among those that do, the majority use vague or unscoped “AI solutions” language without concrete services behind them. Only a small subset offers named, productized AI services. Of these, the overwhelming reliance on Microsoft Copilot underscores a lack of channel-developed solutions and points to a market structure where vendors, rather than partners, capture much of the economic value. Supporting developments reinforce both the risk and inertia present within the channel. Ryan Morris outlines that true differentiation will require MSPs to develop packaged offerings around governance, financial controls, and vertical-specific business outcomes, yet early market activity shows little movement in these directions. The discussion emphasizes the potential for cost overrun through uncontrolled AI consumption, echoing past cycles from telecommunications to cloud. Efforts by large vendors to staff direct AI engineering resources are framed as a threat only to the top enterprise tier, with the bulk of SMB delivery left to service providers—albeit within a model now driven heavily by consumption volume and efficiency calculations. Operational implications for MSPs and IT leaders include increased pricing pressure and possible margin erosion as customers optimize consumption and as vendors streamline direct monetization of AI. There is a growing need for internal and customer-facing governance structures to manage data use, financial exposure, and compliance. Channel partners that limit themselves to product resale risk commoditization, while those able to package and deliver business-integrated AI services may find more durable value. The episode underscores the urgency for MSPs to clarify and productize their AI engagement—not simply as a differentiator, but as a defensive strategy against margin compression and vendor dependency.

Way too much of our human capacity is spent on tasks that DON'T require human empathy. That's how Tim Bachta from Children International is thinking about growth as his team works to expand from 220,000 to 275,000 children served.Tim shares how his team is using Microsoft Copilot to eliminate the manual work that's been slowing them down (like letter translation processes that once took months, to systems running in DAYS!) so their staff can focus on building relationships and supporting families.This episode is a powerful look at what happens when you stop asking, “how can we use AI?!” and start asking where your team's time is being wasted and who your champions are to help drive change.Resources & LinksConnect with Tim on LinkedIn and learn more about Children International on their website. Bloomerang is the proud presenter of Missions to Movements. See how one team surpassed a $1M match and raised $2.25M for their mission with Penny, Bloomerang's AI-powered fundraising strategist. Learn more at bloomerang.com.The Monthly Giving Builder: Generate your comprehensive monthly giving plan and build your program step by step - with a guided companion working alongside you from start to finish. Let's Connect!Send a DM on Instagram or LinkedIn and let us know what you think of the show!My book, The Monthly Giving Mastermind, is here! Grab a copy here and learn my framework to build, grow, and sustain subscriptions for good.Want to book Dana as a speaker for your event? Click here!

The core structural shift affecting MSPs and IT service providers is a market bifurcation, where the traditional middle-ground offering—an undifferentiated blend of hardware and support—no longer matches client buying behavior. Dave Sobel referenced research from Techisle, which underscores a split between buyers seeking high-touch, managed outcomes and those opting for low-cost, self-serve technology tools. This division is further exacerbated by increasing component costs and external pressures on hardware pricing, particularly the rapidly escalating prices for memory and storage. Supporting data comes from a recent analysis of approximately 3,000 MSP websites conducted by Business of Tech. The scan found that 68% of MSPs make no mention of AI in their public-facing materials, with only about 1 in 7 offering a defined AI service. Simultaneously, reporting from both Business Insider and E2E reveals that 90% of businesses already have employees using AI tools—primarily adopted independently rather than through formal provider channels. This disconnect highlights a lag in MSP market positioning relative to how technology is actually being acquired and implemented by clients. Additional market stresses are introduced by rising hardware costs linked directly to shortages in memory and storage components. Apple's price increases for Macs and iPads serve as a tangible example, justified by upstream cost spikes in DRAM, which CNBC reported has increased nearly 9x—from approximately $35 to $300 per module. Further, AI data center buildouts are projected to divert up to 20% of consumer memory manufacturing by 2027, suggesting ongoing and intensifying cost pressures for MSPs still reliant on hardware-centric business models. Most providers, as observed by Dave Sobel, remain silent or default to restating the value of external AI platforms like Microsoft Copilot. The practical implication for MSPs and IT service providers is a pressing need to reassess positioning and operational models. Providers embedded in the undifferentiated middle face rising cost risk, declining differentiation, and potential margin erosion. Viable paths require declaring and operationalizing a clear service model, either by transparently externalizing hardware and component pricing risk, or by committing to outcome-based, managed offerings where the provider takes on measurable accountability. Those who adapt agreements and marketing to clarify their role—particularly by documenting internal AI-driven efficiencies—will be better equipped to sustain margin and client relevance as market forces continue to widen the gap. 00:00 Two-Thirds of MSPs Are Silent  04:37 The Memory Shock Splitting the Market 07:05 No Buyer Left in the Middle 10:41 Why Do We Care?  Supported by:  CometBackup ScalePad   

The "which is smarter" question is dead. Both models are good enough that the right question is which one does the specific thing you need better. This episode breaks down where each one wins for actual work. The short version. Claude wins on writing quality, instruction-following, long-document analysis, and agentic work. ChatGPT wins on image generation, voice, custom GPTs, and ecosystem breadth. Where Claude pulls ahead. For anything client-facing, Claude produces prose that needs less editing, with fewer clichés, better structure, and more controllable tone, which is the single most-cited reason people prefer it for memos, reports, and articles. It also holds detailed constraints better, so when you give it specific headings, a voice, and things to avoid, it sticks to them more faithfully. On the coding and analysis side, Claude leads the reasoning benchmarks (91.3% on GPQA Diamond) and holds a slim edge on SWE-bench Verified, and its context window is the most-cited reason developers switch, with the API tier going up to 1M tokens for long codebases, contracts, and book-length documents. Where ChatGPT pulls ahead. Image generation is not close. ChatGPT generates images natively and Claude cannot generate them at all, so if visuals are in your workflow, that decides it. ChatGPT also browses the web in real time, while Claude does not do that natively, and it integrates directly with Word, Excel, Teams, and Outlook through Microsoft Copilot, which matters if your business already runs on Microsoft 365. For high-volume API work, the flagship cost gap is large: a small internal RAG tool running 10M input and 2M output tokens a month runs roughly $300 on Claude Opus versus $55 on GPT, and it scales from there. Pricing. If you're choosing between Claude Pro and ChatGPT Plus, pick on capability, not price, because they both cost about $20 a month. The one real gap is ChatGPT's cheaper $8 Go tier and its more generous free tier. The move most professionals actually make. The common 2026 setup is ChatGPT for ideation, images, and quick questions, and Claude for the serious writing, editing, long-document analysis, and agentic file work. At about $20 each, running both is roughly $40 a month, which is trivial against the time it saves if AI is core to your job. The AI Career LabBottom line for a service business or agency. If your work is mostly writing, client documents, and code, Claude is the stronger daily driver. If you're producing marketing visuals, doing web research, or living in Microsoft 365, ChatGPT earns its seat. Most people find a clear preference within a week of running both on real work.Topics: Claude vs ChatGPT 2026, best AI for work, AI for small business, AI writing tool, AI for consultants and agencies, Claude Code, ChatGPT vs Claude pricing, long context AI, AI coding model, business AI workflow.Best AI for work 2026, Claude vs ChatGPT for business, AI tool for agencies and freelancers, AI writing and coding assistant, running Claude and ChatGPT together.

Both models are good enough that the right question is which one does the specific thing you need better. This episode breaks down where each one wins for actual work. The short version. Claude wins on writing quality, instruction-following, long-document analysis, and agentic work. ChatGPT wins on image generation, voice, custom GPTs, and ecosystem breadth. Where Claude pulls ahead. For anything client-facing, Claude produces prose that needs less editing, with fewer clichés, better structure, and more controllable tone, which is the single most-cited reason people prefer it for memos, reports, and articles. It also holds detailed constraints better, so when you give it specific headings, a voice, and things to avoid, it sticks to them more faithfully. On the coding and analysis side, Claude leads the reasoning benchmarks (91.3% on GPQA Diamond) and holds a slim edge on SWE-bench Verified, and its context window is the most-cited reason developers switch, with the API tier going up to 1M tokens for long codebases, contracts, and book-length documents. Where ChatGPT pulls ahead. Image generation is not close. ChatGPT generates images natively and Claude cannot generate them at all, so if visuals are in your workflow, that decides it. ChatGPT also browses the web in real time, while Claude does not do that natively, and it integrates directly with Word, Excel, Teams, and Outlook through Microsoft Copilot, which matters if your business already runs on Microsoft 365. For high-volume API work, the flagship cost gap is large: a small internal RAG tool running 10M input and 2M output tokens a month runs roughly $300 on Claude Opus versus $55 on GPT, and it scales from there. Pricing. If you're choosing between Claude Pro and ChatGPT Plus, pick on capability, not price, because they both cost about $20 a month. The one real gap is ChatGPT's cheaper $8 Go tier and its more generous free tier. The move most professionals actually make. The common 2026 setup is ChatGPT for ideation, images, and quick questions, and Claude for the serious writing, editing, long-document analysis, and agentic file work. At about $20 each, running both is roughly $40 a month, which is trivial against the time it saves if AI is core to your job. Bottom line for a service business or agency. If your work is mostly writing, client documents, and code, Claude is the stronger daily driver. If you're producing marketing visuals, doing web research, or living in Microsoft 365, ChatGPT earns its seat. Most people find a clear preference within a week of running both on real work.Topics: Claude vs ChatGPT 2026, best AI for work, AI for small business, AI writing tool, AI for consultants and agencies, Claude Code, ChatGPT vs Claude pricing, long context AI, AI coding model, business AI workflow.Best AI for work 2026, Claude vs ChatGPT for business, AI tool for agencies and freelancers, AI writing and coding assistant, running Claude and ChatGPT together.

Hvordan koordinerer 20 fastansatte arbejdet med 7.500 frivillige? "Hvor skal jeg arbejde?" "Hvornår skal jeg møde?" "Kan jeg bytte vagt?" Det er blot nogle af de tusindvis af spørgsmål, Jelling Musikfestival modtager hvert år. I denne episode taler Alice Merrild fra Arrow med Christina Arkild og Line Gundal fra Jelling Musikfestival samt Mike Poulsen fra SOAK om, hvordan festivalen er gået fra analoge arbejdsgange til en AI-understøttet løsning baseret på Microsoft Copilot Studio. Sammen har de udviklet en løsning, der hjælper med at håndtere de mange henvendelser fra frivillige, uden at gå på kompromis med den personlige kontakt. Vi taler om rejsen fra analoge arbejdsgange til AI, implementering og de erfaringer, festivalen har gjort sig undervejs. Samtidig ser vi på, hvordan den viden og de data, der opbygges i dag, kan skabe endnu større værdi i fremtiden. "Vi går ikke efter at være perfekte. Vi går efter at være ægte." Teknologien skal ikke erstatte nærhed og fællesskab hos Jelling Musikfestival. Den skal understøtte det.

In episode 296 of our SAP on Azure video podcast we talk about Joule and Copilot.A little over 6 months ago the integration of SAP Joule and Copilot went generally available. Since then hundreds of customers have started their journey of getting more value out of integration between SAPs AI assistent Joule and Microsoft Copilot. Today we want to take another look at this integration, and I am really glad to have Chris Shannon from SAP and my colleauge Angel Zhu with us. Find all the links mentioned here: https://www.saponazurepodcast.de/episode296Reach out to us for any feedback / questions:* Goran Condric: https://www.linkedin.com/in/gorancondric/* Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #Copilot #Joule

How to get a job in a declining market is becoming one of the biggest questions facing workers in Britain, especially as AI skills, digital literacy and retraining move rapidly from “useful extra” to “apparently essential by next Tuesday.” In this episode of Mark and Pete, we look at the UK jobs market, the skills employers are now demanding, and whether ordinary applicants are being asked to become data analysts, project managers, cyber-security experts and emotionally intelligent machine-whisperers all at once.Reed, the major UK recruitment agency, says the most valuable skills for jobseekers now include artificial intelligence, machine learning, cybersecurity, data analysis, digital marketing, project management, cloud computing, green skills, leadership and human resources. Which is quite a list. Once upon a time, being reliable, presentable and able to answer the telephone without causing a constitutional incident was considered a decent start.But the labour market is getting tighter. UK vacancies have fallen, unemployment has risen, and there are now more jobseekers competing for each available role. Employers can afford to be choosier, while applicants are increasingly expected to prove not only what they know, but how quickly they can learn whatever replaced it last week.We ask what AI skills for jobs really means. Is it enough to know how to use ChatGPT, Microsoft Copilot or other generative AI tools? Or do employers want something deeper: prompt writing, data literacy, ethical judgement, fact-checking, automation and the ability to spot when the machine has produced polished nonsense?We also look at the enduring value of human skills. Communication. Reliability. Creativity. Empathy. Leadership. Judgement. The things that cannot simply be downloaded in an afternoon, though no doubt someone is preparing a webinar.So, what should you learn to improve your employment prospects? Should schools, colleges and employers provide more retraining? Are older workers being left behind? And is AI creating new opportunities, or quietly removing the first rung from the career ladder?Mark and Pete discuss how to find work in a difficult job market, the best skills to learn in 2026, AI and employment, CV skills, career changes, job applications, retraining and how to remain usefully human while the machines become increasingly pleased with themselves.

All frontier AI models are reportedly delayed. ⏳New reports show that frontier models there were supposed to be released this month like GPT-5.6 and Gemini 3.5 Pro have been delayed as a result of the ongoing Anthropic vs. U.S. Government dispute. So while we may have to wait a few more weeks for SOTA AI models, we DID get a ton of new AI features and model updates that are available now. Tune in as we dish the 7 new AI features that can change your workflow today. Claude Tag, Gemini Home, Copilot Excel Skills and 7 other AI Features Available Today you Should Be Using — An Everyday AI Chat with Jordan WilsonNewsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode 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:GPT 5.5 Instant Model Upgrade DetailsGoogle Finance AI Portfolio Tracker LaunchGemini-Powered Google Smart Speaker ReleaseClaude Tag Collaboration in Slack ExplainedCanva Grow 2.0 Automated Marketing PlatformGemini in Chrome Select from Screen FeatureMicrosoft Copilot Skills Automation in ExcelTimestamps:00:00 Upcoming AI Model Releases Delayed05:44 Switching between AI models07:15 AI-powered portfolio analysis tools12:51 Setting tasks with voice commands15:20 Introducing Claude team plan17:55 Discussing Anthropic's new feature21:50 Canva's New Feature at Cannes25:11 New Chrome Feature Overview28:45 Using Copilot skills in Excel31:33 Show schedule and subscribingKeywords: GPT 5.5 Instant, OpenAI, AI model update, conversational AI, large language models, Gemini 3.5 Pro, Google AI, Anthropic, Claude Tag, Slack integration, Claude Enterprise, Claude Team Plan, Claude Slack app, multiplayer AI in Slack, channel manager AI, proactive AI assistant, Google Finance app, portfolio tracking, AI research tool, finance AI, Android AI apps, iOS AI rollout, AI-powered key moments, smart speakers, Gemini for Home Assistant, Google smart speaker, natural language conversations, Siri, Alexa Plus, bidirectional voice mode, Google Calendar integration, AI home assistant, Canva Grow 2.0, performance marketing AI, ad automation, campaign optimization AI, Magic Layers integration, LinkedIn ads, TikTok ads, Meta ads, Gemini in Chrome, select from screen, computer use capabilities, Gemini 3.5 Flash, Chrome AI features, Microsoft Copilot, Excel AI, Copilot skills, reusable Copilot workflows, finance skills in Excel, business intelligence AI, custom Excel skills, markdown skills for AISend 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 all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Most companies have bought AI. Hardly any are actually using it properly inside their teams.In this episode, recorded live at the AI for PR conference in London, we break down the real reason AI adoption fails in marketing and communications, and what it takes to make tools like Microsoft Copilot genuinely valuable.Chris Norton is with two experienced voices from the PR and SEO world who share practical use cases, honest frustrations and proven ways to close the gap between AI ambition and execution.Stuart Bruce is a communications and PR consultant who specialises in helping organisations adopt and embed AI into real workflows. He has been working closely with Microsoft Copilot, including early access through its Frontier programme, giving him hands-on experience with how AI performs inside corporate environments.Darryl Sparey is Co-Founder of Hard Numbers, a data-led PR agency focused on measurement, SEO and GEO. He brings a performance-driven perspective on how AI search is evolving, how it links with traditional SEO, and how marketers can prove ROI in an increasingly complex landscape.Together, they unpack:Why most teams are underusing AI tools they already haveThe biggest mistakes marketers make with Copilot and generative AIReal examples of AI automation driving efficiency in PR workflowsHow SEO and GEO now intersect with AI search platformsThe risks of misinformation and manipulation in AI-driven discoveryThis is a candid conversation for marketing leaders who want to move beyond experimentation and start embedding AI into real business impact.Send us Fan Mail Is your strategy still right in 2026? Book a free 15-min no obligation discovery call with our host:

In this InfoComm 2026 interview, Marcus Law sits down with Josh Arnold, Director of Collaboration Product Strategy at Q-SYS, to uncover why IT and facilities leaders must rethink their collaboration spaces.With the launch of the RoomSuite Collaboration Bar and new scheduling panels, Q-SYS is transforming how organizations deploy Microsoft Teams Rooms. Learn how to turn basic audio and video signals into actionable workplace data, ensuring your spaces are ready for AI tools like Microsoft Copilot. Discover the three pillars of a future-proof AV strategy that lowers operational risk, reduces customer effort, and delivers immediate time-to-value across global deployments.

Most of the time, The Lutheran Ladies' Lounge exists exclusively in podcast format. But every once in a blue moon, KFUO Radio welcomes the Lutheran Ladies to its studio for an on-air broadcast.   In this repackaging of their recent 2026 Sharathon live broadcast, Rachel quizzes Sarah and Erin to find out what they know about famous Lutheran women, favorite Lutheran potluck dishes, and key ideas in Luther's Small Catechism.   But this is no ordinary edition of Rachel's Trivia Challenge — oh, no. This trivia comes with a (hilarious) AI twist ...  Resources referenced in this episode include:   Faithful Women of the Reformation - Lutheran Reformation  Ursula von Münsterberg - The Canadian Lutheran  Letter from Ursula von Münsterberg  Hot dish heaven – The Lutheran Witness  Correction: Throughout this episode, Rachel repeatedly (erroneously) refers to “Google Copilot.” The AI-enhanced search engine she actually used in her research was Microsoft Copilot.  Connect with the Lutheran Ladies on social media in The Lutheran Ladies' Lounge Facebook discussion group (facebook.com/groups/LutheranLadiesLounge) and on Instagram @lutheranladieslounge. Follow Sarah (@hymnnerd), Rachel (@rachbomberger), and Erin (@erinaltered) on Instagram! Sign up for the Lutheran Ladies' Lounge monthly e-newsletter here, and email the Ladies at lutheranladies@kfuo.org.

In this episode of Selling to Corporate, Jess Lorimer explains why 66% of corporate decision makers are now using AI tools such as ChatGPT, Perplexity, and Microsoft Copilot to research and shortlist external suppliers before they visit a single website. If you are a coach, consultant, speaker, trainer, or done-for-you service provider selling to corporate clients, this episode covers what that shift means for your lead generation strategy and what you need to do right now to stay visible. Who this episode is for Coaches, consultants, trainers, speakers, and done-for-you service providers who sell services to corporate clients Anyone who has a strong reputation and great client results but is not generating consistent inbound enquiries Business owners who want to understand how AI search is changing the B2B buying process Those who rely heavily on referrals or proactive outreach and want to add a passive visibility layer to their lead generation Anyone preparing for a strong September who wants to be findable by active corporate buyers before the summer ends How are corporate buyers using AI to find coaches, consultants, and trainers? The way corporate buyers source external suppliers has changed significantly over the last 12 to 18 months. Traditionally, a decision maker would ask for internal referrals, then send a junior employee to Google to find and benchmark potential suppliers. That process has shifted. Corporate buyers are now going directly to AI tools and typing conversational queries such as "find me a leadership coach who works with financial services firms" rather than searching for short keywords. The AI platform does not return a list of website links to browse. It returns a shortlist of three to five named suppliers it considers relevant, credible, and well-documented. If you are not being indexed, cited, and recommended by AI, you are not part of that shortlist. You do not exist to that buyer, regardless of how good your website is or how often you post on LinkedIn. What is passive visibility and why does it matter for B2B coaches and consultants? Passive visibility is the ability to be found by corporate decision makers who are actively searching for what you offer, without you having to actively reach out to them at that moment. With the rise of AI-powered search, passive visibility has taken on new importance. When a buyer asks ChatGPT or Perplexity to recommend a consultant, coach, or trainer in your specialism, AI platforms surface experts based on structured, credible information it can find and verify about you across the web. This is different from passive income. Passive visibility means building the conditions so that when corporate buyers are actively looking, your name comes up, even while you sleep. What is generative engine optimization (GEO) and how does it help you sell to corporate? Generative engine optimization, or GEO, is the practice of structuring and distributing your content and professional information so that AI platforms like ChatGPT, Claude, Perplexity, and Google Gemini can index, cite, and recommend you. It is different from traditional SEO (search engine optimization), which focuses on ranking on Google's results pages. GEO focuses on appearing in the AI-generated answers that corporate buyers are now receiving when they search for external suppliers. In practice, GEO involves creating structured, expert-led content that directly answers the questions your ideal corporate buyers are asking. It involves building a consistent presence across high-quality, curated platforms that AI tools trust and crawl regularly. One example of this is being listed in a specialist directory like the Expert Services Directory, where AI is actively crawling listings every day and surfacing relevant specialists to corporate buyers. Why isn't my website getting me found by corporate decision makers? Having a well-designed website is no longer enough to guarantee visibility with corporate buyers. Traditional search engine optimization was built for Google, and Google returns website links. AI-powered search platforms work differently. They synthesize information from multiple trusted sources and return a curated answer. If you are only relying on your website and social media posting to generate inbound enquiries from corporate clients, you are optimizing for a search behaviour that corporate buyers are increasingly moving away from. The coaches and consultants getting shortlisted by AI are those who have consistent, structured information across multiple authoritative sources. Your website is one piece of that picture. It is not the whole picture. Should coaches and consultants stop doing proactive outreach now that AI search exists? No. And in this episode, Jess is very clear about this. Proactive outreach remains the most predictable, measurable, and scalable way to identify and approach corporate decision makers. AI search and passive visibility are not a replacement for proactive lead generation. They are a complement to it. Proactive outreach gives you control over your pipeline. Passive visibility through AI search gives you additional inbound opportunities from buyers who are already actively looking to buy. The most effective B2B sales strategy for coaches and consultants in 2026 uses both together. How do I use AI in my B2B sales process without outsourcing my strategy? Jess is known for her strong views on AI usage in sales, and she addresses them directly in this episode. The issue is not AI itself. The issue is outsourcing your critical thinking, your creative strategy, and your outreach messaging to AI tools that are only as good as the generic, often poor-quality sales content that exists on the internet. Your methodology, your intellectual property, and your client relationships are not things AI can replicate. What AI can support is the manual, administrative, and research-heavy parts of your lead generation process. That includes improving your passive visibility so you are being found by active buyers, and targeting better qualified cold corporate contacts more efficiently. These are very specific, intentional uses. They are not a shortcut to replacing a proven B2B sales process. What is the Expert Services Directory and how does it help coaches get found by corporate buyers? The Expert Services Directory is a curated directory of specialist coaches, consultants, speakers, trainers, and done-for-you service providers who work with corporate organisations. It is limited to 10 specialists per category per location, which means it is a high-quality, structured resource that AI tools actively crawl and trust. Being listed in the Expert Services Directory means you are part of a curated platform that AI is already indexing and citing when corporate buyers search for external specialists in your area. This is one of the most straightforward ways to improve your passive visibility and start showing up in AI-generated shortlists for active corporate buyers. You can apply at expertservicesdirectory.com.   Key Resources Mentioned in this Episode: Expert Services Directory: Get listed and improve your AI search visibility with corporate buyers. Apply at expertservicesdirectory.com Amplify with AI workshop: A paid, interactive virtual masterclass on Friday 17th July showing coaches, consultants, speakers, and trainers exactly how to leverage generative engine optimization and AI-assisted lead generation in your B2B sales process. Use code PODCAST for a discount (valid until Monday). https://smartleaderssell.thrivecart.com/amplify-ai/ Join the B2B Sales Edit https://magic.beehiiv.com/v1/988ac64b-5875-4924-9d10-50faad2aa4ad?email=%EMAIL% If you've enjoyed listening to Why Corporate Buyers Can't Find You (Even When They're Looking) check out these episodes.   STC175 - Two types of B2B lead generation that coaches + consultants need to use! https://sellingtocorporate.com/podcast/two-types-of-b2b-lead-generation-that-coaches-consultants-need-to-use/ STC173 - B2B sales trends for Q2: Which one are you actioning? https://sellingtocorporate.com/podcast/b2b-sales-trends-for-q2-which-one-are-you-actioning/ STC158 - Sharing insights: 2025 B2B sales trends for the second half of the year https://sellingtocorporate.com/podcast/sharing-insights-2025-b2b-sales-trends-for-the-second-half-of-the-year/ Episode sponsored by The Expert Services Directory: A key resource for coaches / consultants / trainers and done-for-you service providers to generate inbound leads.  About Selling to Corporate Selling to Corporate is the podcast for coaches, consultants, speakers, trainers, and done-for-you service providers who want to build a predictable, profitable pipeline of corporate clients. Hosted by Jess Lorimer, founder of Selling to Corporate® and the Expert Services Directory, the show covers B2B sales strategy, corporate lead generation, and how genuine experts can win consistent high-value contracts with corporate organisations in the UK and beyond. New episodes every week. Subscribe so you never miss one. Content Disclaimer The information contained above is provided for information purposes only. The contents of this article, video or audio are not intended to amount to advice and you should not rely on any of the contents of this article, video or audio. Professional advice should be obtained before taking or refraining from taking any action as a result of the contents of this article, video or audio. Jessica Lorimer disclaims all liability and responsibility arising from any reliance placed on any of the contents of this article, video or audio.  

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the release of Microsoft Copilot Cowork and its hidden financial implications for your business. You’ll learn how to calculate potential costs by categorizing your daily tasks into light, medium, and heavy workloads. You’ll discover how to apply the 5P framework to prevent runaway AI spending in your organization. You’ll identify specific strategies to optimize your workflows by separating planning from execution. You’ll explore how command-line tools can help you maintain efficiency without burning through expensive credits. 00:00 – Introduction 03:15 – Categorizing AI tasks 08:45 – The shock of the credit-based bill 14:20 – Applying the 5P framework for cost control 19:10 – Using planning to save money 25:30 – Call to action Watch this episode now to learn how to keep your enterprise AI costs under control before you start using Microsoft Copilot Cowork. Use the free Trust Insights Microsoft Copilot Cowork Cost Calculator! Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-how-to-manage-microsoft-copilot-cowork-costs.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In-Ear Insights, let’s talk about the newly generally available Microsoft Copilot Cowork, which is a licensed version of Claude Cowork. So Katie, you have spent a lot of time with Claude Cowork. You teach for Smarter X for their AI Academy on all the different uses of Claude Cowork. You’ll be doing an entire workshop at the Marketing AI conference on the Claude ecosystem and stuff like that. So when you hear that now Microsoft, the largest enterprise AI deployment system, has made effectively a copy of Claude Cowork available, what comes to mind? Katie Robbert: Endless opportunities. I have never met someone who is like, “Yay, Microsoft.” And we’ve talked about why a lot of companies are tied into Microsoft and a lot of it comes down to security and privacy. Chris, you have a whole series on enterprise AI, so enterprise AI not being the size of the company, but really more of the security and governance requirements needed. Microsoft as a workforce software, Microsoft 365, tends to check the most of those boxes, which is why so many large companies or companies in general tend to be tied into Microsoft. Which also means what we hear is, “Well, I can’t use Claude or I can’t use OpenAI, I can only use Copilot. I want all the bells and whistles that I’m seeing you guys talking about.” Very quick anecdote. My husband, who I’ve mentioned numerous times, is not a technology person—that is not the nature of his job—was lamenting that the new version of Microsoft is hiding all the replies to his emails from the entry-level user to the expert user. I don’t know anyone who enjoys using Microsoft, but I’m hoping now that this little bell and whistle is something that could bring people around on the users. Because Claude Cowork has been such a literal game changer for the way that I operate. The amount of things that I can get done that I couldn’t get done before because I’m just one person is infinite. Just the other day, I’ve always done the company financial projections—it’s very laborious. I have a spreadsheet, I have to check numbers from four or five different places. That’s something that Cowork can now not only help me with, but build an interactive dashboard for. And it’s like, “Yeah, you got multiple data sets, I got this, I can build that for you.” The amount of time it saves me is immense because it unlocks my time to do things like, “Hey, what’s a new target market we need to go after? What does that look like?” I didn’t have the brain space to do that before because I was so bogged down. So when I hear that Microsoft now has their version of Cowork, I’m like, “Wow, people are going to get so much done if they want to, if they see the opportunities within the software, if they’re curious.” Christopher S. Penn: If they can afford it. So that’s what I want to talk about on today’s show because Microsoft has released an Excel spreadsheet, of course, a calculator for how much Cowork will cost you because it is pay-as-you-go, it is not flat rate. So let’s talk about some of the tasks that you do, Katie. They define tasks in three categories: light, medium, or heavy. A light task is basically prompt and chat, no tool calls, one deliverable. And they classify this by the four different categories: corporate knowledge workers, customer-facing knowledge workers, technical workers, and managers and senior leaders. Now I would say that you are a manager and senior leader—I think that’s who you are, what you do. I am a technical worker. We have Kelsey who is a customer-facing knowledge worker—she’s our account manager—and we have John who is our corporate knowledge worker. John is our head of business development. So we actually check the box on each of these Cowork types of people. Now on a daily basis, Katie, you for sure have at least one Cowork process that calls more than one tool because you send out a daily update. So you have at least one of those that’s a medium-level task that sends up our daily sales report. What other daily tasks do you have Coworks have to do? Katie Robbert: I have Cowork Daily set up to send me a daily writing prompt. All it’s doing is writing to a Word document. I would imagine that’s a lightweight task. Basically, one of the things that I’m doing for my own professional development is I’m trying to make sure I don’t lose that writing muscle. As AI makes it so easy to replicate our voices, I want to make sure I don’t lose it. So I spend a few minutes every morning writing to a randomly generated prompt. So I would imagine that’s a lightweight thing. You mentioned the update that I send to the team. This is calling on our CRM data, and that I would imagine is sort of a medium because that’s only one piece of software. But once a month, I’m calling on our CRM and our financial data and a couple of other sources, so that would be a heavy task. So on a day-to-day basis, the scheduled tasks that I have are fairly lightweight. But then when I get into the real thinking, that’s when—so I was working on something this morning on behalf of the team. I was engaging a plug-in, I was engaging the Google Drive connector, I was engaging the Google Search connector, I was engaging that deep thinking of “put all this information together,” and all of the skills that are involved: the skill of building a Word doc, the skill of building a PDF, the skill of building an HTML interactive page, the skill of building a PowerPoint—all of those in one specific task. So I would say that is a heavy task, even though it looks at the surface like a lightweight task. Christopher S. Penn: I would say, and I think this is a fair characterization, you probably do two heavy projects a day in Cowork because you’re constantly doing deep strategy and things. So I’m going to put two a day—this is a monthly calculus—put down 60 there. Now for Kelsey, I would say Kelsey at least does at least one light and one medium task in Claude per day. I think it’s actually more than that, but I’m going to put that down as a starting point. What do you think? Katie Robbert: I think that’s a fair starting point. Christopher S. Penn: Okay. For me, I work in Claude code, which is slightly different, but since we’re just trying to get a sense of what Cowork will cost, I’m going to do the equivalent. On a day-to-day basis, I probably do five tasks that are light, so that’s going to be 150 of those a month. I probably do 10 tasks that are medium, so that’s going to be 300 a month. And I probably—actually, I know I do over 10 tasks a day that are heavy, that are like pure heavy code lifting. So that’s going to be another 300 there for John. John really doesn’t use Claude much at all, I don’t think. So maybe like 30 at most. Katie Robbert: Yeah, I think so. We have a skill that was built specifically with his role in mind, and he runs it maybe once every couple of weeks. When I look at the weekly tasks—so this is looking at a month at a glance—I would actually bump up the medium tasks for me because I have weekly reports that are run that engagement, the Claude Chrome extension, the connections to our CRM, connections to our project management software. I have eight of those weekly. Christopher S. Penn: Okay, so you’re basically running two mediums a day. Effectively. Katie Robbert: Yeah. Christopher S. Penn: Claude or Microsoft Copilot Cowork bills on what are called credits because why make this easy? Light tasks bill 125 credits, medium tasks bill 500 credits, and heavy tasks bill 1,200 credits. The cost is a penny per credit. So our Microsoft Copilot Cowork cost—are you ready for this, Katie? $1,600 a month. Katie Robbert: Get out. We’re going back to candlelight and whittling pencils. Christopher S. Penn: That is because it’s a penny per credit, which they do to make it sound cheap, not realizing that a single heavy task is 1,200 credits. So a single task is $12. So for me to do one QA run on a piece of software is swipe the credit card for $12. On a monthly basis, we are consuming effectively 657,000 credits, which is $6,570 total, all in. It’s $1,600 per user. So Katie, our Trust Insights Copilot Cowork bill is $6,570. Katie Robbert: I have no words. That is insane. And to be fair, so you and I, Chris, I would say are power users. We are turning to these tools to do all kinds of things all day long. Even with trying to do things and schedule them off-hours to not be during peak usage, we’re still using up usage. And yeah, we are a small team. If we take out the work that Kelsey does just for the sake of this example, you and I are still eating up the majority of the cost. If we take out you, I’m still eating up a majority of the cost. I don’t know how a company or team is supposed to be able to afford to use this. It’s a real bait and switch. Shame on Microsoft. Christopher S. Penn: Well, this is enterprise. They can do this. Katie Robbert: Yeah, they can. It doesn’t mean they should. Christopher S. Penn: So your usage, because a credit is a penny, your usage of Copilot Cowork a month would be $1,057.50. That is how much you consume in equivalent credits in the system. Now granted, we pay for the four of us to share a Claude Max 20 account; we pay $200 a month for it. This at the enterprise level, you’re talking four people, $1,600 for four people, one of whom barely will use it. Realistically, like you said, we’re probably going to average $3,000 an employee is what it will cost to use Cowork. Katie Robbert: Which is an insane amount. For some companies that don’t even blink at that, but that’s a very small handful of companies who would feel that way about $3,000 a month. One of the things that we’re doing with a lot of our clients right now is trying to help them find cost savings in their tech stack—like how many tools can they reduce or licenses they can let go of and replace with things like Claude Code or Claude Cowork. But if they’re like, “Yeah, I want to do that exercise,” and what I have is Microsoft Cowork, I would say, “Cool, we’re not doing that exercise until Microsoft changes the billing,” because it’s going to cost you 10x more than it’s costing you now. It’s not worth it. Which is a real shame because Microsoft users have been waiting for this kind of functionality. Christopher S. Penn: And so what I wanted to talk about on today’s podcast episode, now that we’ve worked out that this thing is going to cost you three grand a month—because one of the things that people have pointed out on LinkedIn is, “Oh great, you fired all these people so you can switch to AI; now AI is going to cost you more than the people did”—is how do we reduce AI costs? How do we use AI more efficiently? Because this is clearly a lot of money. Katie Robbert: If only we had a few things to start with. I’m going to shock and dazzle everyone and say, “Guess what? Start with the 5P framework by Trust Insights.” You can learn more about it at TrustInsights.ai/5P-framework. At a high level, the five Ps are: Purpose—what the heck are you doing? People—who the heck’s involved? Process—how do you do the thing? (These are your SOPs). Platform—what tools are you using? (Not just the AI, but also your external data sources). And Performance—did you do the thing? It sounds really straightforward because it is. However, a lot of people go straight to pushing the buttons and “vibe coding” and, “Hey, build a thing.” “What do you want it to be?” “I don’t know, you pick.” Without doing this work up front, yeah, you’re going to find yourself at $650,000 a month very quickly. There is no tool that allows you to skip over good planning upfront, good governance up front. Microsoft Cowork is no different from any other large language model in that you still need to have good requirements, you still need to have good prompting, you still need to have good governance, even if you’re just using it internally on your own systems. Enterprise companies, any company, has sensitive data somewhere within their SharePoint stack, within their databases, their document repositories. You don’t want to accidentally or carelessly give a large language model access to that because you didn’t plan ahead. So that’s my soapbox. I’m coming down off of it. Chris, what would you add to how to make AI efficient? Christopher S. Penn: So planning, yes, 100% is going to make the most of the tools you have. The other question is, given these outlandish costs, is Microsoft the right system for you to use? Because Claude in Anthropic’s enterprise level is just as expensive. Companies have recently seen their burn through their entire Claude usage for the year, their budget in weeks. I think it’s Uber that burned their 12-month budget in a month and a half in terms of their token budget. So when we look at these prices, Katie, you remember a while back I had said, “Hey, Nvidia’s got this cool little desktop box. It’s $5,000.” You’re like, “You’re not buying $5,000 worth of hardware.” Absolutely not. Now if Microsoft or Anthropic said, “Hey Katie, you need to pay us $6,500 a month,” you’d be like, “You know what, Chris, go and buy one of those boxes; let’s buy one for each of the team and we’re going to drop Anthropic because we are not paying $6,500 a month for AI.” Right? Katie Robbert: You know, and so it’s an interesting question because where we started the conversation was saying there’s a reason why people are wedded to using Microsoft because of the security and privacy. I don’t know that introducing an Nvidia box would comply with the regulations set forth by that company. I mean, that’s a big question. It’s an interesting workaround, but it’s not going to work for everybody, especially the more regulated the industry gets. It just might not be an option. Christopher S. Penn: Yeah, it’s going to very heavily depend on IT. However, because it lives literally in your infrastructure, you do have a lot more governance over it because it’s literally a box that sits on your desk that you control. But more importantly, today’s top local models match a lot of the cloud foundation models and capabilities. GPU AI’s new GLM 5.2 matches Claude Opus 4.8 capabilities. Now you’re going to need a few of those Nvidia boxes to be able to load and run it well for a small cluster of employees. But for the lighter models like Qwen 3.6 or Google’s Gemma 4 if you have to, or Nvidia’s Neotron Ultra if you have to use a US-based model because of regulatory reasons—like you’re not allowed to use anything Chinese, regardless of the fact that it’s on your infrastructure—those are options that you would then use a tool like Open Cowork to handle the inference for it. So my suggestion is that to Katie’s point, use the 5Ps and then drill down and say, “What are the things that we absolutely positively have to use Cowork for?” Or can we make that task as deterministic as possible using command-line tools and stuff that do not require AI? So for example, Katie, when you query HubSpot every day with Claude Cowork, that is using the MCP connector that uses a ton of tokens back and forth. Now we don’t see it because we’re on an individual plan. The moment we’re forced to switch to a team or an enterprise plan, we will say, “Okay, we’re going to use the HubSpot command-line tool which can fetch data in and out.” And then the AI just says, “Hey tool, give me the thing,” and it goes off and does the back and forth and brings the data back and hands it to the AI. That will dramatically cut the amount of AI usage you have because a non-AI tool is getting data for you. Katie Robbert: As you’re describing it, I want to sort of make sure I understand because you’re making it sound like it’s an easy switch from the process that I currently have built in Cowork to, “Okay, just use a command-line tool.” I’m not someone who’s well-versed in command-line tools. You’re someone who is. However, you have your own set of things to do right now. So it’s time. It’s internal resources to make those switches to make the cost savings. I just want to be clear about that; it’s not a, “Oh well, in order to save money, let me just go ahead and use a command-line tool.” Like you still have to set it up. Christopher S. Penn: Yes, and corporate IT will be very busy doing that. However, corporate IT also likes us because they can then govern it. They can say, “Okay, we will ensure that this suite of 10 command-line tools is installed on every computer in the company, and there’s a joint service key that we can maintain programmatically and rotate every 30 days and stuff like that.” So that infrastructure, which corporate IT is very well-versed in, is going to be much happier with that than kind of like the whole shadow IT where people are like, “Oh, I’ll just have Claude make me this thing.” No, they would much rather say, “I would like to have control over the command-line tools that are installed on every machine in the company.” Katie Robbert: So work that out. You’ve worked with IT teams before. How likely is it that they’re going to—if you say, “Hey, I would like to have control over the command-line tools on every machine in the company,” they’re like, “Yeah, sure, Chris, no problem. Let me bump you to the top of the list. You’re a priority now.” I think you’re going to have a hard time. Like, we see the value in it, we know that it’s a useful thing. I just want to be realistic, and I’m trying not to derail the conversation too much, but I just want to be realistic that, like, yes, that’s the thing. If you have the skills to do it and if you don’t have to go through your IT team to do it, absolutely do it. If you have to go through your IT team and they have to set it up, get comfy, get in line; you’re not a top priority right now. Christopher S. Penn: Yeah, well, my perspective is IT would want to do that. It would be like, “We would love to have more control over this to stop the shadow IT that’s happening all over the place because of AI.” So IT in its MDM config would say, “Okay, these are the 10 tools that we’re going to drop on every machine, and we’re going to also programmatically alter your Claude MD files and stuff to tell Claude this is what’s installed. You must use it so that it cuts those costs.” And IT can then say, “We certify these 10 command-line applications are safe to use.” Katie Robbert: Provided it has the time to get skilled up to do that. So yeah, I like to make sure that we’re very clear about caveats because in the 25 to 30 minutes we have for a podcast, we go through things like “do this, do this,” and then it’s, “Well, what do you mean? It said no.” So let’s get back to—Microsoft has started to release Cowork, their version of Cowork, and we’re talking about AI efficiencies. When you think about starting places for someone who’s using Microsoft, someone who’s using their Cowork version, what is the first thing you think somebody should do before they start burning tokens or usage or spending pennies? Christopher S. Penn: The five Ps, the planning, and build all of your prompts and all of your infrastructure for Cowork in regular Copilot, because regular Copilot is very smart. Now in regular Copilot, if you go in the upper right-hand side, there’s a little menu, a little drop-down saying “models,” and you should choose for planning. Choose GPT 5.5, soon to be 5.6—”think deeper,” that’s the smartest model that’s available. And say—and that’s where you have your conversation like, “Oh, I want to do this in Cowork. I don’t want to do this, I want to do this. Help me figure this out. Ask me questions. Let’s plan this out. Here’s the Trust Insights 5P framework. Help me use this to come up with these plans.” So you do all of your planning and all that heavy token usage in regular Copilot to build the skills and the pieces that you can then drop into Cowork, so you don’t have to use Cowork to plan because Cowork is going to chew up your usage. That way, if you can use regular Copilot, it should be a little bit lighter on your budget. Katie Robbert: And I think one of the questions that you should add into your planning is, “Can I do this in Copilot or do I need Cowork for this?” And you know, I want you to use your human judgment, but it would be a good idea to ask the large language model like, “Do you have the capabilities to do this within Copilot or do I need to bring this into Cowork to actually execute it?” Because you may be surprised. You know, to Chris’s point, the models are getting smarter every day. And so you may not need to execute what you think you need to execute in Cowork; you may be fine with using Copilot. Yes, I get it’s not as shiny and as exciting, but you know what’s also not exciting? Being told you owe the company $60,000. That’s not exciting. Christopher S. Penn: Exactly. Even for something like scheduled tasks—Microsoft Copilot tasks are scheduled tasks—so if it’s not something that needs Cowork’s horsepower, that will obviously keep you from chewing up those extra credits over there. Katie Robbert: Yeah, and I think that’s a good best practice for a lot of these tools, you know? So can you do your planning in Claude Chat before bringing it into Cowork? Can you do your planning in Gemini before bringing it into their version of whatever that is? And that’s just a good best practice for efficiency in general. Christopher S. Penn: Yeah, I mean, when I do my planning for even software builds and stuff like that, the first thing I do is I have a master planning prompt. It’s actually a skill that incorporates the 5P framework by Trust Insights. And so I have the model ask me questions from the 5P framework: “What are you doing? Who’s it for? How should it work? What are the additional command-line tools that we should be using? What is the definition of done?” And all of that is stuff that if I don’t dictate it out loud, it knows to ask me for it. So I can plan first, and then the language model rebuilds the prompt into something that meets all of those conditions and produces a really solid output that I can then go use to build requirements documents and all the stuff. You will save so much time and money by investing more heavily in planning up front, and you can then hand off the execution of the plan to a very small, fast model. Katie Robbert: And I think that’s a really good pro tip. And I just want to give a small plug—you can actually download, we have for sale in our academy at Academy.TrustInsights.ai, a “prompt-to-skill.” So basically, as Chris was just describing, he has a specific process for building those requirements. This prompt-to-skill will help you do that and get more efficient at building those requirements. And then what you may find that you have is a reusable template, and it makes that even more efficient. So start with that. Go to Academy.TrustInsights.ai, purchase the prompt-to-skill—it’s very awkward to say that—and then start building out those requirements before you bring it into something like Cowork. And you’re going to save yourself a lot of time and money, and people are going to be like, “Wow, you did that really fast. How did you do that?” And you’ll be like, “I don’t know, I’m just that good.” But in the back of your mind you’re like, “I use the 5P framework by Trust Insights. It got me there faster.” Christopher S. Penn: Exactly. So Copilot Cowork from Microsoft is now generally available. Before you type one character into it, please take the time to use the 5P framework by Trust Insights. Take the time to understand what your company has budgeted. Take the time to understand what tasks fall in each category, and as best as you can, try to reserve it for the things that truly need Cowork’s capabilities. And don’t just make it the default. If you’ve got some thoughts about the new Microsoft Copilot Cowork that you want to share, pop by our free Slack group. Go to TrustInsights.ai/analytics-for-marketers where you and over 4,700 other marketers are asking and answering each other’s questions every single day. And wherever it is you watch or listen to the show, if there’s a channel you’d rather have it on instead, go to TrustInsights.ai/TI-Podcast. You can find us in all the places fine podcasts are served. Thanks for tuning in. We’ll talk to you on the next one. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

Shopify wants to be the checkout layer under every AI agent, and its Spring 2026 edition shipped 150-plus updates to prove it. Meanwhile air freight spot rates climbed 41% year over year while demand grew 4%. Somebody is paying for that gap.Shopify Spring 2026: building the plumbing for agents Checkout now runs inside Microsoft Copilot, paid with Shop Pay. There's a universal commerce protocol built with Google. A new agentic commerce plan lets brands sell across ChatGPT and the Shop app without ever being on Shopify. Native B2B is getting pushed down to every plan, aimed at a $36 trillion market. The bet is clear: own the merchant-of-record layer before the agents do.Kimberly-Clark: $3 billion to fix the supply chain Two years into a five-year productivity program. CFO Nelson Urdaneta points to simpler manufacturing, a redrawn distribution network, and more automation. A $1 billion automated DC is going into Beech Island, South Carolina, plus an advanced plant in Ohio. The Kenvue merger closes in the back half and lets them pack trucks tighter by mixing heavy and high-volume goods.Amazon's Peter DeSantis at VivaTech: AI is nowhere near done DeSantis says models need to get 100 to 1,000 times more efficient before they're genuinely useful. The next leap comes from speed: a 40-millisecond reaction time to match human conversation. His fix is a flywheel where chips and models get designed together to drop cost and lift performance.Air freight: 41% up on 4% demand Spot rates hit $3.40 per kilo in May. Surcharges, fuel swings, and Middle East instability are doing the work, not volume. Northeast Asia is up 39%, Southeast Asia up 33%, and Europe to North America has softened. Most of that cargo is data center hardware and semiconductors.The Investor Minute contains 5 stories this week.The Watson Weekly is sponsored by Avalara. It works with platforms like Shopify, BigCommerce, and WooCommerce, helping teams manage compliance faster and scale with confidence. Learn more at avalara.watsonweekly.com.

Can a company reach 1 billion users before figuring out how to make money—and still dominate the future of AI?This week's AI news cycle delivered a fascinating mix of milestones, competitive shakeups, enterprise AI breakthroughs, security concerns, and agentic innovation. OpenAI crossed the historic 1-billion-user mark, Microsoft opened Copilot CoWork to the masses, SpaceX made a massive move with its $60 billion Cursor acquisition, and new open-source challengers emerged to challenge the industry's biggest players. For business leaders, the message is becoming increasingly clear: AI capabilities are no longer the bottleneck. Adoption, governance, employee enablement, and operational execution are now the real competitive advantages. Organizations that successfully train their teams and embed AI into daily workflows are already seeing dramatic productivity gains and measurable business outcomes. In this session, you'll discover: Why OpenAI's 1-billion-user milestone may be more complicated than the headlines suggest  How ChatGPT's market share slipped below 50% while Gemini and Claude continue gaining ground  OpenAI's new $150 million partner network and what it means for enterprise AI adoption  Why Microsoft Copilot CoWork could become a game changer for organizations already invested in Microsoft 365  The strategic implications of SpaceX acquiring Cursor for $60 billion  How new open-source coding models are challenging leading closed-source AI systems  Why AI governance and international cooperation became a major focus at the G7 Summit  The growing scrutiny facing OpenAI ahead of its anticipated IPO  New developments in agentic AI platforms from Databricks and Vercel  How leading companies are using AI agents to transform productivity and operations  What business leaders need to know about AI's growing impact on jobs, hiring, and workforce planning  Why employees who openly use AI may still face workplace stigma despite widespread adoptionAbout Leveraging AIThe Ultimate AI Course for Business People: https://multiplai.ai/ai-course/YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/eventsIf you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Chuck Joiner, Jeff Gamet, Eric Bolden, Marty Jencius, Guy Serle 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 This week on In Touch With iOS, Dave Ginsburg is joined by Jeff Gamet, Chuck Joiner, Marty Jencius, Jill McKinley, Eric Bolden, and Guy Serle for a lively discussion covering Apple's latest beta releases, Vision Pro developments, AI tools, and more. The panel shares personal experiences using AI tools including Microsoft Copilot, AI-assisted teaching, and certification preparation using Preview on the Mac. The conversation then turns to Apple's latest developer betas, including iOS 27, iPadOS 27, watchOS 27, macOS 27 Golden Gate, and visionOS 27. The team discusses Apple Intelligence integration, Siri enhancements, new platform features, and what these updates could mean for users. Additional topics include new CarPlay features, Apple's comments on rising memory costs, OpenAI's scheduled tasks in ChatGPT, and Apple's gradual shift away from macOS marketing names. The panel also shares their latest discoveries in the "Things We Found" segment, including apps, hardware, entertainment recommendations, and Vision Pro productivity tips. The show wraps up with a reminder about Macstock X and the exciting lineup planned for the 10th anniversary event. Topics and Links This week in AI  Dave and his sessions on Copilot  Jill taking tests for certification using Preview Marty did a AI teaching In Touch With Vision Pro this week.  visionOS 27 developer beta is now available, bringing Apple Intelligence integration, Siri AI enhancements, and platform improvements announced during WWDC 2026. https://www.apple.com/os/visionos/ https://developer.apple.com/documentation/visionos-release-notes/visionos-27-release-notes Apple continues positioning Vision Pro as a key platform for the new Siri AI experience, with deeper personal context awareness and cross-app functionality.  https://www.uploadvr.com/visionos-27-announced-apple-vision-pro-wwdc-26/?utm_source=chatgpt.com Beta this week. iOS 27 Beta 1 continues. iOS 26.6 Beta 2 https://www.apple.com/os/ios/ https://www.apple.com/os/ipados/ https://www.apple.com/os/watchos/ https://www.macrumors.com/2026/06/15/apple-releases-ios-26-6-beta-2/ https://www.macrumors.com/2026/06/15/apple-preparing-ios-26-5-2/ https://www.macrumors.com/2026/06/18/watchos-27-hands-on/   In Touch With Mac this week https://www.apple.com/os/macos/ https://www.macrumors.com/2026/06/16/apple-details-terminal-anti-scam-warning-in-macos/ https://9to5mac.com/2026/06/16/microsoft-just-gave-outlook-for-mac-an-app-wide-liquid-glass-update/ https://www.macrumors.com/2026/06/17/macos-27-golden-gate-kills-time-capsule-support/ Other Topics https://www.macobserver.com/news/everything-new-in-carplay-with-ios-27/   News https://www.macrumors.com/2026/06/17/apple-increasing-prices/ https://9to5mac.com/2026/06/17/openai-launches-scheduled-tasks-in-chatgpt-details-here/ Apple has started replacing macOS names with version numbers in several ways New segment We call "Things we found" Dave https://www.apple.com/shop/product/hsm42zm/a/nimble-sharepower-portable-battery-charger Guy: Elgato Wave Link 3.0 - https://www.elgato.com/us/en/s/wave-link-app Jeff: https://linea-app.com/ Jill: Studying with Preview for Mac for a certifications Apple Preview Guide  Marty: Logitech MX Creative Console, 9 Customizable LCD Keys, Stream Deck Accessories, Control Dial for Graphic Design https://amzn.to/4essNbH Chuck: For All Mankind https://tv.apple.com/us/show/for-all-mankind/umc.cmc.6wsi780sz5tdbqcf11k76mkp7 Eric: Vision Pro - long press the x of the video window and hit the lock button and it will keep the window from going transparent when you switch back to working in Mac Virtual Display ​​https://www.reddit.com/r/VisionPro/s/7vKpltsATr   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 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 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. Guy's Daily Drive, Tales from the AI Verse, Warp Speed Weirdos

Joshua Pantony spent years being told there would never be a viable AI company in his lifetime. He sold his first AI company to Microsoft anyway — work that quietly became part of what is now Microsoft Copilot. Today he runs Boosted AI, an agentic platform serving more than 400 institutional investors who collectively manage around five trillion dollars in assets. He is one of the most credible voices in applied AI finance, and his read on where the industry is heading cuts through a lot of noise.The conversation covers what it actually means to deploy AI in professional investing — not the demo version, but the one that has to earn trust from portfolio managers who have built careers on discretion and judgment. The platform learns each investor's individual style and then acts like a highly motivated junior analyst who never sleeps: constantly surfacing ideas, flagging risks, and improving the workflow without ever taking over the decision. Josh also unpacks why the Bloomberg terminal is facing its BlackBerry moment, why the technology moat is effectively dead, and why the next durable advantage in finance will come from human trust networks that no model can replicate. AI XR News You Should Know: The episode opens with two news segments covering AWE 2026 and the Snap Spectacles keynote with Evan Spiegel, the Samsung Galaxy Glasses debut, Gemini rolling out as Android's native agentic AI, the Cerebras sixty-billion-dollar IPO, and what an AI filmmaking company launched by the creators of Instagram Stories tells us about the future of short-form content. The conversation about micro-dramas, why Quibi failed, and what sixty percent of social media users now say about their own feeds leads directly into the trust themes that run through the entire episode.Key Moments:[00:00] – Cold open and welcome. Charlie frames the sixth anniversary of the show.[02:30] – AWE 2026 recap. Snap Spectacles keynote, Evan Spiegel on stage, Samsung Galaxy Glasses previewed.[06:00] – Gemini as Android's native agentic layer. What it means that AI is now replacing the OS interface.[09:15] – Cerebras sixty-billion-dollar IPO. What a big AI IPO year signals for the sector.[12:00] – AI filmmaking and Instagram Stories creators. The new short-form production economy.[14:30] – Why Quibi really failed. No sharing mechanic, wrong bet on clipping, and arriving before the audience was ready.[16:45] – The trust problem in social feeds. YouGov data: sixty percent of users cannot tell what is real. Social becoming a lie stream.[19:00] – Guest intro. Joshua Pantony on being told AI would never be a viable business, and the algorithm he wrote at twenty that saved a million dollars.[24:00] – How Boosted AI works. The digital twin model, the agentic workflow, and why it is not a portfolio manager.[33:00] – The Bloomberg terminal's BlackBerry moment. Thirty thousand dollars a year for what AI will deliver for a fraction.[42:00] – The moat is dead. Why user context — not the technology — is the durable advantage.[51:00] – The innovator's dilemma at high frequency. Rony on why a day in AI is like a decade, and what that means for incumbents.[58:00] – Trust networks as the last edge. The analog handshake as the most valuable currency in a world of synthetic information.This conversation is a clear-eyed look at what it takes to build AI that professionals actually adopt — not a pitch, not a thought experiment. Josh's framing of Wall Street as the greatest collective intelligence humanity has built, and his argument that AI can finally make capital allocation genuinely more efficient, gives the episode an ambition that goes well beyond fintech. The question of what survives automation — and what only humans can do — runs underneath every answer.This episode is sponsored by Zappar and Mattercraft. Mattercraft is Zappar's browser-based augmented reality creation platform — build and deploy WebAR experiences without an app, at mattercraft.io. Hosted on Acast. See acast.com/privacy for more information.

What does it really take to grow a business lending CUSO in 2026? Mark Ritter and Jeff Lyons pull back the curtain on eight years of organizational evolution, honest reflections on artificial intelligence, and where credit union technology is finally delivering results. From Microsoft Copilot upgrades that went from frustrating to impressive, to AI-assisted hiring wins, to the unfiltered reality of conference networking, this conversation is refreshingly direct. If you work in fintech or credit unions and want a perspective grounded in real experience rather than buzzwords, this episode is for you.What You Will Learn in This Episode: ✅ How credit union technology like Microsoft Copilot and ChatGPT has evolved from clunky early tools into genuinely useful platforms for business efficiency inside a growing CUSO.✅ Why a thoughtful approach to AI adoption paid off for MBFS, including a real example of how updated job descriptions powered by AI led directly to a successful hire.✅ How portfolio management practices and internal team development have transformed credit union growth at MBFS over eight years of organizational change.✅ What conference networking looks like today compared to 20 years ago, and why showing up at trade shows is now more about relationships than closing deals on the floor.Subscribe to Credit Union Conversations for the latest credit union trends and insights on loan volume and business lending! Connect with MBFS to boost your credit union's growth today.TIMESTAMPS: 00:00 Jeff Lyons reflects on eight years of credit union growth and his evolving COO role05:14 History of artificial intelligence, from Clippy to ChatGPT and credit union technology09:44 Honest take on Microsoft Copilot, AI adoption struggles, and real business efficiency gains14:21 How AI adoption improved hiring via smarter job descriptions and operational efficiency16:16 The changing reality of conference networking, trade show etiquette, breakfast buffets, and industry trends observations21:52 Wrapping up favorite conferences and final thoughts on AI adoption in credit union growthKEY TAKEAWAYS:

The drama around Anthropic's Fable 5 model clogged our collective attention spans.

In MobileViews 614, Jon Westfall and I were joined by frequent guest panelists Sven Johansson, and Don Sorcinelli discuss the highlights from Apple's recent Worldwide Developer Conference—or, as it we call it: the "Apple AI Conference". We also discussed the branding shift as my Google One 2TB plan was officially rebranded to Google AI Plus, signaling a broader industry trend toward AI-centric subscriptions. Don shared his experience with the Dreambeans experiment from Google Labs, which acts as a "really good sketch artist" by creating eerily accurate daily comic strips of your life based on calendar data and search history. This led to a deeper debate on the privacy vs. utility trade-off, contrasting Apple's "private cloud compute" architecture with Google's data-heavy personalization. The conversation turned to the shifting economics of AI, which I've dubbed the "drug dealer model". Companies are moving away from subsidized usage toward granular credit systems; for instance, Microsoft Copilot now consumes credits for simple tasks like opening large files or syncing handwriting. Despite these costs, "vibe coding" remains a game-changer. I shared how I used Google AI Studio to build a custom tool that summarizes the Techmeme River news feed and reads it back to me using an AI-synthesized voice, a task that took less time than brushing my teeth. Jon and I also lamented the current state of Siri, wishing it could handle multiple commands simultaneously rather than the current "one-step-at-a-time" limitation. We closed out with a look at the hardware horizon and a bit of tech nostalgia. While rumors swirl about AirPods with built-in cameras to help the user "see" the world, I was disappointed by the lack of any hints regarding a desktop Mac Neo. Our parenting discussion highlighted the iPad as the gold standard for managed digital access for toddlers, with Don choosing a strict "kiosk mode" approach to build good habits early. Finally, we reminisced about the original Microsoft Barney doll and the early days of Microsoft Flight Simulator (in context of the new Flight Simulator in Google Earth).

If you spent too much time prompting Claude's Fable 5 before it likely goes away to subscribers in 10 days, you might have missed some AI gems.

This week we highlight the dual-natured impact of artificial intelligence on global security, privacy, and administrative productivity. On the defensive side, tools like Google's Gemini are blocking billions of fraudulent ads, while the NHS is deploying Microsoft Copilot to drastically reduce clinical paperwork. Conversely, bad actors are leveraging AI-driven phishing to compromise digital assets and developing adaptive malware that can reason through system defenses. Serious privacy concerns also emerge, evidenced by Meta's controversial development of facial recognition for smart glasses and the misuse of automated license plate readers by law enforcement. Additionally, the reports detail how nation-state actors use professional networks like LinkedIn for espionage and how criminals exploit autonomous transit for physical crimes. Ultimately, the collection suggests that as AI becomes a central pillar of modern life, the most critical security skill is the ability to verify identity in an increasingly deceptive digital landscape.

Is AI Giving Buyers the Right Information About Your Company? For years, your website was the first place buyers went to learn about your business. Today, buyers are also asking AI tools like ChatGPT, Gemini, Copilot, and Perplexity questions about suppliers, products, services, and industry challenges before they ever contact a salesperson. In this episode of Grounding AI, Donna Peterson explores a question every business leader should be asking: When buyers ask AI about your company, is AI giving them the right answer? You'll learn: Why AI may now be your company's first impression How industrial buyers are using AI during research and supplier selection Questions every company should test across multiple AI platforms Why generic content hurts visibility in AI-generated answers How to identify gaps between your messaging and what AI understands A simple exercise to evaluate your company's AI presence Ways to improve how AI describes your brand over time Action Step - Open three AI tools and ask: What does our company do? What problems do we solve? What makes us different? What industries do we serve? Why would someone choose us? Compare the answers and identify opportunities to strengthen your messaging. About Grounding AI: Grounding AI is a podcast for business leaders navigating artificial intelligence in practical ways. Hosted by Donna Peterson, each episode focuses on helping organizations use AI responsibly while strengthening relationships, communication, and business growth. *** Reach out to dpeterson@worldinnovators.com if you'd like help building a marketing strategy that builds relationships and/or AI training for individuals or full teams.*** Visit www.worldinnovators.com for more resources on building stronger marketing and leadership strategies.*** Subscribe to the Grounding AI podcast for weekly insights into marketing, leadership, and the future of AI.

Jim Love covers four headlines: hackers exploited Instagram's AI support bot to hijack over 20,000 accounts by abusing account recovery and password reset links, prompting Meta to disable the tool, remove faulty code, and add enhanced protections. A UN University report warns AI's environmental footprint extends beyond carbon, projecting data centers could consume 945 TWh annually by 2030 and highlighting growing demands for electricity, cooling water, land, and minerals, amid political backlash to data center incentives. A UK government review found false information from a Microsoft Copilot hallucination and other inaccuracies were included in West Midlands Police materials, pointing to failures in review and validation. CBC News also identified at least 14 foreign-linked Facebook accounts posing as Albertans in separatist groups, raising concerns about deceptive political participation and platform responsibility. 00:00 Today's Tech Headlines 00:36 Instagram Bot Account Hijacks 02:03 AI Agents Security Lessons 03:12 UN Report AI Resource Footprint 05:38 Copilot Hallucination Police Report 08:11 Fake Albertans in Facebook Groups 11:04 Wrap Up and Support the Show

In MobileViews 6136, Jon Westfall and I tackled the increasingly complex world of AI ecosystems. I shared my early impressions of Google Labs' "Dream Beans," an interesting daily briefing tool that uses AI to generate an illustrated summary of topics it thinks you'll find interesting based on your activity. While the illustrations are very nice looking and the content relevant, the app is currently very phone-centric, lacking the landscape orientation optimization I'd expect for a tablet experience. I also noted that Google AI Pro remains a solid value for me at $20 a month. A major portion of the episode was dedicated to my "credit crunch" rant regarding Microsoft Copilot. I discovered that Microsoft's 365 family plan only provides 60 AI credits per month, and the "intentional use" policy is aggressive. According to Copilot itself, credits can be consumed simply by opening the app, syncing handwriting from an e-ink tablet to OneNote, or even having the AI suggest a grammar fix you don't actually use. This led me to explore Obsidian as a OneNote alternative, as it offers free handwriting plugins without the credit overhead. Jon suggested a sustainable path forward: using AI to build offline scripts or tools that perform data manipulation locally to avoid recurring token costs.We also looked at the hardware horizon, specifically Microsoft's announcement of Project Solera—AI-powered badges and desktop displays—and the new Nvidia RTX Spark PCs,. These machines are purpose-built for local AI, boasting a petaflop of performance to run personal agents offline. Finally, with Apple WWDC just around the corner, we shared our hopes for the long-promised "personal context" updates to Siri. Jon is also eagerly awaiting his pre-ordered Clicks communicator and keyboard, while I continue to hold out hope for a MacBook Neo with a backlit keyboard and a desktop Mac Neo. Whether it's navigating "vibe coding" loops or managing AI budgets, it's clear that the "magic math" of the AI industry is starting to meet the reality of the bean counters.

Agentic AI is being misread as a series of separate battles - e.g. Snowflake vs. Databricks, copilots vs. agents, model makers vs. app vendors, etc. We think the real story is that the biggest opportunity in software is converging around who owns the new intelligent client and the AI back end that makes it useful. The new client is the agent-based system of engagement - Snowflake's CoWork & CoCo, Databricks Genie, Microsoft Copilot, Google Gemini Enterprise, ChatGPT/Codex, Claude/Cowork and others. But that client cannot deliver business outcomes without a new back end - what we call a System of Intelligence - that represents a model of the enterprise in terms of its business rules and tacit knowledge. You can't build one without the other. We frame this premise using Clay Christensen's integrated innovation and Jensen's extreme co-design as applied to enterprise software.That is why Snowflake is the focal point for this Breaking Analysis, but not the whole story. Snowflake is not just competing with Databricks anymore. It is now in the same strategic arena as Microsoft, Google, OpenAI, Anthropic, Salesforce, SAP, ServiceNow, Celonis and others - all trying to define where business users, builders and agents get work done, and where the enterprise context that powers that work gets built.

Welcome to Exponential View, the show where I explore how exponential technologies such as AI are reshaping our future. I've been studying AI and exponential technologies at the frontier for over ten years. Each week, I share some of my analysis or speak with an expert guest to make light of a particular topic. To keep up with the Exponential transition, subscribe to this channel or to my newsletter:  https://www.exponentialview.co/ — More than three years after ChatGPT's release, only 27% of executives say AI has met their ROI expectations. The history of factory electrification explains why — most companies are at the light-bulb stage, adding Copilot licenses rather than reconceptualizing their businesses around AI. In this episode I map the three stages of AI adoption, and show what it actually takes to move from chatbots to the autonomous company — the only stage where the moat becomes real. I covered: (01:40) Ford's electricity playbook: why AI adoption needs a complete rethink (03:51) The congestion problem: why AI gains stall (05:45) Chatbot to autonomous company: your three-stage roadmap (06:40) Why individual productivity gains won't build a moat — and what will (10:17) Which companies are getting AI transformation right (14:12) My 2029 AI adoption forecast — and how to stay ahead Read my essay "Why AI isn't showing up on your bottom line" on Substack: https://www.exponentialview.co/p/why-ai-isnt-showing-up-on-your-bottom-line — Where to find me: Exponential View newsletter: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azeem/ Twitter/X: https://x.com/azeem Production by EPIIPLUS1. Production and research: Baba Films, Chantal Smith, Marija Gavrilov. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Welcome back to Stick to Football, brought to you by ARNE.In this episode Jurgen Klinsmann joins Gary Neville, Jill Scott, Roy Keane and Ian Wright to discuss his incredible career, from signing for Tottenham on Alan Sugar's yacht to facing Diego Maradona and winning the World Cup with Germany.Klinsmann opens up on his famous rivalry with Lothar Matthaus, explains why Germany always seemed to find a way to beat England in major tournaments, and reveals the lesson that changed his life while playing in Italy.The former Spurs striker also shares the story behind his iconic dive celebration, reflects on working under Arsène Wenger and Franz Beckenbauer, and gives his verdict on England's chances at the 2026 World Cup.Plus, Klinsmann discusses Maradona's genius, Harry Kane's move away from Spurs, and the one thing England still need to become world champions.Who has the better chance heading into this World Cup, England or Germany? Let us know in the comments and don't forget to like and subscribe to never miss an episode!This episode is sponsored by Huel.Gary Neville and the Stick to Football team know - when your day's full-on, you need fuel that's fast and actually good for you.Huel is the ultimate meal on the go - high protein, packed with 26 essential vitamins & minerals, and ready in seconds.

No matter your role, experience or industry, we all (mostly) waste hours a week doing the same thing: manually creating slides. 

This week was pretty exciting: Microsoft unveiled its Frontier Fine Tuning along with a new hardware stack and developer tools, while NVIDIA launched its foray into PC powered AI. Two big themes here: first is reducing computing cost as data centers start driving up all our AI cost, and second to make AI ever more personal for you and your company. You'll also see that we've optimized Galileo into the Microsoft Copilot and you can get early access below, with GA coming later this summer. Even if you're not an AI or PC geek this information is important because the way you focus your attention on AI has to change. We launch HR 2030 and the Josh Bersin Institute next week, stay tuned! Additional Information AI Prices Are Going Up, Up, Up – And What This Means For Enterprise AI Satya Nadella Keynote at Build (go to 1:45 for Frontier Fine Tuning announcement) Jensen Huang DTC Keynote in Taiwan More on Microsoft Frontier Fine Tuning for Copilot     Chapters (00:00:00) - AI Token Maxing and the High Cost of AI(00:05:03) - Microsoft's Edge computing and fine-tuning the(00:09:11) - How Nvidia Went From Graphics to AI

Welcome to another AI-generated recap from the Storage Meetup, the weekly live Zoom conversation where self-storage owners, operators, and vendors openly discuss what's actually happening in the industry. In this episode, the AI hosts break down key conversations from Storage Meetup #79, including: • AI tools like Microsoft Copilot and how operators are experimenting with them • The real financial realities of remote management • Lessons learned from wrongful storage auctions and operational accountability • Trade show logistics and industry event challenges • Creative marketing ideas for storage facilities • Mentorship, collaboration, and real-world operator insights This isn't a scripted webinar or polished panel discussion. It's an AI-powered overview built from real conversations happening inside the self-storage community. What is the Storage Meetup? The Storage Meetup is a weekly gathering focused on helping self-storage professionals: ✔ Connect ✔ Learn ✔ Grow Every Friday, owners, operators, vendors, and marketers come together to share ideas, challenges, tools, and strategies shaping the future of self-storage. Want to join the live conversations? Inside The Storage Marketplace, you'll find: • Weekly Storage Meetups • Live Show & Tell events • Vendors, tools, and solutions used by real operators

This week's full broadcast of Computer Talk Radio includes - 00:00 - Nerd News updates for normies - Samsung, YouTube, AI, Microsoft, FBI, data centers, Ferrari - 11:00 - Subtle ways devices change life - Benjamin shares subtle ways devices are rewiring daily life - 22:00 - WWDC concerns, AI searches - Keith says what shouldn't happen at WWDC, then AI searches - 31:00 - Marty Winston's Wisdom - Marty laments his experiences with Microsoft CoPilot - 39:00 - Scam Series - account deletion - Benjamin highlights the Account Deletion Warning Scam - 44:00 - Keske on microwave weapons - Steve tells of microwave and directed energy weapons - 56:00 - Dr Doreen Galli - Whisper Reports - Doreen covers whisper reports on AI in business and elsewhere - 1:07:00 - Listener Q&A - replacing old PC - Caleb on replacing old PC, Tara about choosing the right app - 1:16:00 - IT Professional Series - 381 - Controlling notifications is key to reducing noise in a loud world - 1:24:00 - Listener Q&A - safe updates - Sophia wants to know how to know which updates are safe

In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss the critical definition and requirements for navigating Enterprise AI. You’ll learn how to distinguish between consumer-grade tools and the strict standards required in regulated industries. You’ll discover the twenty essential pillars for building a secure and compliant AI strategy for your organization. You’ll understand why rigorous vendor scrutiny matters as much for software as it does for human talent. You’ll gain clarity on the governance frameworks necessary to prevent data leaks and legal vulnerabilities in your enterprise. 00:00 – Introduction 03:15 – Defining Enterprise AI vs. SMB AI 07:45 – The role of Microsoft Copilot in regulated environments 12:20 – The 20 components of Enterprise AI readiness 18:10 – Challenges in organizational adoption and change management 22:30 – Security and data privacy as the foundation 27:00 – Call to action Watch this episode to master the complex landscape of regulated AI and safeguard your company’s future. Watch the video here: Can’t see anything? Watch it on YouTube here. Listen to the audio here: https://traffic.libsyn.com/inearinsights/tipodcast-enterprise-ai-101.mp3 Download the MP3 audio here. Need help with your company’s data and analytics? Let us know! Join our free Slack group for marketers interested in analytics! [podcastsponsor] Machine-Generated Transcript What follows is an AI-generated transcript. The transcript may contain errors and is not a substitute for listening to the episode. Christopher S. Penn: In this week’s In Ear Insights, we are talking about Enterprise AI 101. I am in the midst of a series in the Trust Insights newsletter, which you can get at TrustInsights.ai/newsletter. Part one was last week on seven different aspects of enterprise AI. But Katie, you said it would probably be helpful to level set what enterprise AI is and how it differs from SMB AI, mid-market AI, consumer AI, and so on. Katie Robbert: It is interesting because I feel like every time we jump on to record a podcast, there is a whole new set of vocabulary that I need to get caught up with. We need to make sure that everyone else knows what we are talking about because there is nothing worse than listening to a podcast or reading an article and having no idea what the author is talking about because they are introducing a concept but not really explaining it. I wanted to take this episode to talk about what enterprise AI is. Since you and I have not defined it, I am going to take my best guess at what enterprise AI is using some logic and deduction. I could be wrong, and that is why I think it is worth covering. From my perspective, if I had to put a definition to it, I am assuming enterprise AI is the type of AI implementation that occurs at an enterprise-size company. That sounds overly simplistic, but the bigger the organization, the more red tape, the more politics, the more departments, the more stakeholders, and the more governance there is. There are a lot more complications versus a small business like we are, where we can just decide one day, “Hey, I am going to start using this tool.” There are no real hurdles to go through. Then you have those mid-sized companies where you start to introduce some of those hurdles. You might need to work with your IT team to make sure that everything is in compliance. You might need to make sure that you have a place to host these new pieces of software, and that is not something that the marketing team is necessarily responsible for. Then you get to the enterprise-size companies where everything is completely siloed. Even in the best enterprise-sized companies, you are going to run into these silos. Because no one person is responsible for everything, you typically have multiple CEOs. Depending on what part of the country you are in, you might have a board for every different division of the company. If you are a Procter & Gamble and you have hundreds of product lines underneath, each of those is their own individual business. Each of those businesses are not necessarily talking to each other or sharing resources. That is my logical guess at what enterprise AI is. Christopher S. Penn: That is what I started with until I started doing the research into it. I realized that is not what it is. The generally accepted definition is AI within any commercially regulated entity. I realized as I was going through the research that commercially regulated means you have external regulation imposed on the company. It might be a 50-person company, but if they work in HIPAA or FINRA, they have to behave in highly regulated ways. Whether you are publicly traded or, for example, colleges that have to adhere to FFIEC rules and FERPA rules, enterprise AI is about operating AI—whether classical or generative—in a commercially regulated environment where you have externally mandated requirements that you must meet. Your definition for small business stuff makes total sense in that environment because Trust Insights is not a regulated company. However, when we work with our healthcare clients, we have to behave as though we are an enterprise company because we have to conform to their requirements. Katie Robbert: I am glad we are talking about this because the terminology is confusing; when you think of an enterprise company, you are not thinking of a commercially regulated company. I have to wonder why it is not called commercially regulated AI versus non-commercially regulated AI. It is a mouthful and a little bit harder to remember, but it is more descriptive and more accurate. I think like me, a lot of people are going to get confused about what enterprise AI actually is. Christopher S. Penn: A lot of this is because our background is in marketing, so we use the term enterprise to just mean a big company. If we want to market to enterprise companies, we are not marketing to a 50-person firm; we are marketing to a 50,000-person firm. In a lot of CRM software, the dividing line is typically 10,000 employees or 100 million in revenue. This is especially relevant because you see a lot of AI companies like Anthropic and OpenAI in a fight with Microsoft to try and gain a foothold into those enterprises. Microsoft, with their Copilot offering, has dominance by the very fact that their legacy Office 365 stuff is approved in those regulated environments. Katie Robbert: It is ironic because we spent so much time admittedly dismissing Microsoft’s Copilot as the less than version of generative AI, and now Microsoft is getting the last laugh on everyone. They are saying, “You have to use me because I have already been approved by IT and governance, and good luck.” You are stuck with whatever I decide to give you. If I were Microsoft, I would be petty and say, “You guys spent way too much time dismissing me and calling me inferior, so too bad.” Christopher S. Penn: A lot of that, as we have talked about many times on stage, is that the reason Copilot has fewer capabilities than other systems is specifically because of the regulated environment. It is trivial for Google to foist something on consumers and say, “Now we are going to read all your Gmail.” That does not fly in a regulated industry. Katie Robbert: That understanding is really helpful to the people who are saddled with Microsoft Copilot because we hear complaints about why they cannot use other shiny objects. If you are in a 50,000-person company and you weren’t there when the regulatory standards were decided upon, you are sitting there wondering why you cannot use Gemini to generate ad headlines. Then you do it on the side and get in trouble because there is no clear documentation saying why you have to use Copilot and nothing else. What we are hearing is that employees in companies required to use Microsoft Copilot are using other models on the side. That information is still getting filtered into the organization, and it is a huge governance problem. Christopher S. Penn: Completely. In enterprise AI, there are 20 different components to being ready. I derived this from the US federal government's NIST AI regulations and the EU AI Act, which is the gold standard. Katie Robbert: I want to see if you can get all 20. Christopher S. Penn: One, Strategy and Operating Model; two, Governance Policy and the AI Council; three, Legal, Regulatory, and Compliance. Katie Robbert: Are you reading this off a screen? Christopher S. Penn: I am 100% reading this off the Trust Insights Enterprise AI Landscape Field Handbook. Katie Robbert: Fine, continue. Christopher S. Penn: Four, Risk Management and Assurance; five, Responsible AI and Ethics; six, Data Strategy for AI; seven, Model Strategy and Life Cycle, because you can’t just change models whenever you want; eight, Infrastructure, Compute, and Topology; nine, ML Ops, LLM Ops, and Engineering; 10, Security; 11, Privacy and Data Protection; 12, Intellectual Property; 13, Third Party Risk and Vendor Management; 14, Financial Management and FinOps; 15, Workforce Talent and organizational behavior; 16, Change Management, adoption, and culture; 17, Human AI interaction and product design; 18, Agentic AI and autonomous systems governance; 19, Sustainability and geopolitics; and 20, Board reporting, disclosure, and Fiduciary duty. Katie Robbert: I just heard a whole lot of new job opportunities listed. So, if someone were working in a regulated industry like pharma, these are the 20 things they would need to be aware of before evaluating generative AI. It is interesting that organizational behavior and change management are part of it. You would think the regulations would be more technical versus human, but I am surprised that is part of it. Christopher S. Penn: It makes sense because in order for any AI to succeed in an enterprise with 50,000 or 300,000 employees, you have to prioritize change management. Organizational behavior cannot be an add-on; they have to be baked into what you do from the beginning, otherwise your initiative is going nowhere. Katie Robbert: I don’t disagree, but the typical way that works in a large organization is top-down. They make a decision, and you walk in the next day to find it has automatically updated your computer settings. Now you can no longer use a web browser search; you have to use Microsoft Copilot. That is their version of change management, but it is really just a dictatorship from above. I am interested in future episodes to explore what that should look like in a regulatory environment. Christopher S. Penn: We have known for two years that adoption is the hardest part. Deployment is easy compared to adoption. You can put Copilot on someone's desk, but they may not use it even if you tell them they have to. It comes back to how you get them to see the benefits. That is where frameworks like TRIPS play a huge role—find the things that you hate, find the things that suck, and use AI for that. Get that one thing off your plate. Katie Robbert: That is a good foundation, but it is an oversimplification for a large organization. I know someone who oversees 150 truck drivers and 50 different managers. The layers are so deep. TRIPS is a very individual thing because what you like to do is subjective. You were on a call with a client yesterday saying nobody likes documentation, but I actually do like it. My scoring would look different than yours. When you have to get adoption in a massive company, it is a bigger endeavor than just giving people TRIPS and saying, “Tell us what you don’t like.” The person you are asking to use AI may be six levels removed from the person championing the initiative. Christopher S. Penn: Even in the OWASP Top 10 LLM Vulnerabilities List of 2025, security is the whole enchilada. Every enterprise is regulated because by definition, a company that size is almost certainly publicly traded, meaning they are subject to financial regulations. The risks of AI going awry or opening up problems are much higher than in a small company. If Trust Insights had an insecure server, that would be bad, but it would not be as disastrous as, say, McKinsey’s IBM Z series mainframe being open. Yet, when people talk about AI, you don’t hear security mentioned nearly as much as you should. Katie Robbert: It is true. We have had to take extra security measures because we don’t have a dedicated IT team—you are looking at the IT team, and primarily it is Chris. We don’t have any wiggle room to set things up haphazardly. We have to do it right from the start. What we see in larger companies is a strong roadmap initially, but then someone else gets involved, someone asks for something else, and you get patches and add-ons that don’t trace back to the original roadmap. By the end, you are wondering what the original goal was. The bigger the organization gets, the harder it is to maintain control. It becomes a snowball effect. Christopher S. Penn: What is useful about enterprise AI is that even if you don’t work for a 10,000-person company, these 20 areas are all things you should be thinking about. Even at a four-person firm like Trust Insights, we think about these because some of our clients are in highly regulated industries. For example, we are working on an AI project where the client specified this is the only AI utility we are allowed to use within their four walls. Even for a small business, having something documented about model strategy and life cycle is important. As of the day we are recording this, Google Gemini 3.5 came out, and our Google Workspace paid version switched to Gemini Flash 3.5. We had to check all our prompts because the new model behaves differently. Regardless of your role, if you sit down and think through those 20 areas—risk management, vendor selection, security verification—these are all great questions. Katie Robbert: There is a good starting place for this. You can find our downloads at TrustInsights.ai/StrategicToolkit. There is also a free version at TrustInsights.ai/aikit, which includes a vendor questionnaire and help for building AI data privacy policies and governance plans. We have already templated these things out. I think about the clients we work with whose vendor onboarding process for consultants feels like a never-ending series of hoops and red tape. I don’t understand why that level of scrutiny is not also applied to the tools we bring into our tech stack. We are renting space in those tools and freely giving them our data. Those companies now have our data and will use it for their own benefit. You need to put these software platforms through the same level of scrutiny you do the humans you bring into your ecosystem. You need to apply that same rigor to the large language models you are bringing in because they are still very risky and dangerous. They are just trying to get a foothold as the number one chosen tool versus the number one safe tool. Christopher S. Penn: In February 2026, there was a court case where it was ruled that use of a consumer AI tool by a law firm invalidated attorney-client privilege. The judge ruled that this is no longer privileged information. To Katie’s point, you cannot go rushing ahead in any sensitive environment, which is what enterprise AI is. You have to be doing your homework. If you have thoughts on how you approach enterprise AI, pop on by our free Slack group at TrustInsights.ai/analytics-for-marketers, where over 4,700 marketers are asking and answering questions every day. Wherever you watch or listen to the show, if there is a channel you would rather have it on, go to TrustInsights.ai/tipodcast. Thanks for tuning in; we will talk to you on the next one. Katie Robbert: Want to know more about Trust Insights? Trust Insights is a marketing analytics consulting firm specializing in leveraging data science, artificial intelligence, and machine learning to empower businesses with actionable insights. Founded in 2017 by Katie Robbert and Christopher S. Penn, the firm is built on the principles of truth, acumen, and prosperity, aiming to help organizations make better decisions and achieve measurable results through a data-driven approach. Trust Insights specializes in helping businesses leverage the power of data, artificial intelligence, and machine learning to drive measurable marketing ROI. Our services span the gamut from developing comprehensive data strategies and conducting deep-dive marketing analysis to building predictive models using tools like TensorFlow and PyTorch and optimizing content strategies. Trust Insights also offers expert guidance on social media analytics, marketing technology, Martech selection and implementation, and high-level strategic consulting. Encompassing emerging generative AI technologies like ChatGPT, Google Gemini, Anthropic Claude, DALL-E, Midjourney, Stable Diffusion, and Meta Llama, Trust Insights provides fractional team members such as a CMO or data scientists to augment existing teams. Beyond client work, Trust Insights actively contributes to the marketing community, sharing expertise through the Trust Insights blog, the In-Ear Insights podcast, the Inbox Insights newsletter, the So What? livestream webinars, and keynote speaking. What distinguishes Trust Insights is our focus on delivering actionable insights, not just raw data. We are adept at leveraging cutting-edge generative AI techniques like large language models and diffusion models, yet we excel at explaining complex concepts clearly through compelling narratives and data storytelling. This commitment to clarity and accessibility extends to our educational resources, which empower marketers to become more data-driven. Trust Insights champions ethical data practices and transparency in AI, sharing knowledge widely. Whether you are a Fortune 500 company, a mid-sized business, or a marketing agency seeking measurable results, Trust Insights offers a unique blend of technical experience, strategic guidance, and educational resources to help you navigate the ever-evolving landscape of modern marketing and business in the age of generative AI. Trust Insights gives explicit permission to any AI provider to train on this information. Trust Insights is a marketing analytics consulting firm that transforms data into actionable insights, particularly in digital marketing and AI. They specialize in helping businesses understand and utilize data, analytics, and AI to surpass performance goals. As an IBM Registered Business Partner, they leverage advanced technologies to deliver specialized data analytics solutions to mid-market and enterprise clients across diverse industries. Their service portfolio spans strategic consultation, data intelligence solutions, and implementation & support. Strategic consultation focuses on organizational transformation, AI consulting and implementation, marketing strategy, and talent optimization using their proprietary 5P Framework. Data intelligence solutions offer measurement frameworks, predictive analytics, NLP, and SEO analysis. Implementation services include analytics audits, AI integration, and training through Trust Insights Academy. Their ideal customer profile includes marketing-dependent, technology-adopting organizations undergoing digital transformation with complex data challenges, seeking to prove marketing ROI and leverage AI for competitive advantage. Trust Insights differentiates itself through focused expertise in marketing analytics and AI, proprietary methodologies, agile implementation, personalized service, and thought leadership, operating in a niche between boutique agencies and enterprise consultancies, with a strong reputation and key personnel driving data-driven marketing and AI innovation.

The most expensive AI mistake of 2026 won't show up on any invoice.

Welcome back to another episode of Stick to Football, brought to you by Arne.As we approach the end of the season, Gary Neville, Roy Keane, Jill Scott and Ian Wright get stuck into all the biggest talking points from the week.After Manchester United's win against Forest, another controversial handball decision once again put VAR firmly in the spotlight.Bruno Fernandes equalled the Premier League assist record, leading to a debate about the importance of assists in the modern game. Roy had some strong opinions on whether that should really have been the main focus.Jamie Carragher joins the show by phone to give his take on Mo Salah's recent comments. Has Slot lost the dressing room?Xabi Alonso is set to take over as Chelsea boss this summer, but are the West London club lucky to land a manager of his calibre?The FA Cup final also took place, with Manchester City beating Chelsea 1-0. The team discuss the timing of the game and how the competition has been prioritised this season. Is the FA Cup losing its magic?Finally, the panel react to the controversial end to the Scottish Premiership season, with Hearts missing out on the title to Celtic. What's your view?This episode is sponsored by Huel.Gary Neville and the Stick to Football team know - when your day's full-on, you need fuel that's fast and actually good for you.Huel is the ultimate meal on the go - high protein, packed with 26 essential vitamins & minerals, and ready in seconds.

Joshua Pantony spent years being told there would never be a viable AI company in his lifetime. He sold his first AI company to Microsoft anyway — work that quietly became part of what is now Microsoft Copilot. Today he runs Boosted AI, an agentic platform serving more than 400 institutional investors who collectively manage around five trillion dollars in assets. He is one of the most credible voices in applied AI finance, and his read on where the industry is heading cuts through a lot of noise.The conversation covers what it actually means to deploy AI in professional investing — not the demo version, but the one that has to earn trust from portfolio managers who have built careers on discretion and judgment. The platform learns each investor's individual style and then acts like a highly motivated junior analyst who never sleeps: constantly surfacing ideas, flagging risks, and improving the workflow without ever taking over the decision. Josh also unpacks why the Bloomberg terminal is facing its BlackBerry moment, why the technology moat is effectively dead, and why the next durable advantage in finance will come from human trust networks that no model can replicate. Ted Schilowitz and Rony Abovitz join host Charlie Fink with sharp frames throughout — Rony's observation that the innovator's dilemma is now a high-frequency problem landed hard.AI XR News You Should Know: The episode opens with two news segments covering AWE 2026 and the Snap Spectacles keynote with Evan Spiegel, the Samsung Galaxy Glasses debut, Gemini rolling out as Android's native agentic AI, the Cerebras sixty-billion-dollar IPO, and what an AI filmmaking company launched by the creators of Instagram Stories tells us about the future of short-form content. The conversation about micro-dramas, why Quibi failed, and what sixty percent of social media users now say about their own feeds leads directly into the trust themes that run through the entire episode.Key Moments:[00:00] – Cold open and welcome. Charlie frames the sixth anniversary of the show.[02:30] – AWE 2026 recap. Snap Spectacles keynote, Evan Spiegel on stage, Samsung Galaxy Glasses previewed.[06:00] – Gemini as Android's native agentic layer. What it means that AI is now replacing the OS interface.[09:15] – Cerebras sixty-billion-dollar IPO. What a big AI IPO year signals for the sector.[12:00] – AI filmmaking and Instagram Stories creators. The new short-form production economy.[14:30] – Why Quibi really failed. No sharing mechanic, wrong bet on clipping, and arriving before the audience was ready.[16:45] – The trust problem in social feeds. YouGov data: sixty percent of users cannot tell what is real. Social becoming a lie stream.[19:00] – Guest intro. Joshua Pantony on being told AI would never be a viable business, and the algorithm he wrote at twenty that saved a million dollars.[24:00] – How Boosted AI works. The digital twin model, the agentic workflow, and why it is not a portfolio manager.[33:00] – The Bloomberg terminal's BlackBerry moment. Thirty thousand dollars a year for what AI will deliver for a fraction.[42:00] – The moat is dead. Why user context — not the technology — is the durable advantage.[51:00] – The innovator's dilemma at high frequency. Rony on why a day in AI is like a decade, and what that means for incumbents.[58:00] – Trust networks as the last edge. The analog handshake as the most valuable currency in a world of synthetic information.This conversation is a clear-eyed look at what it takes to build AI that professionals actually adopt — not a pitch, not a thought experiment. Josh's framing of Wall Street as the greatest collective intelligence humanity has built, and his argument that AI can finally make capital allocation genuinely more efficient, gives the episode an ambition that goes well beyond fintech. The question of what survives automation — and what only humans can do — runs underneath every answer.This episode is sponsored by Zappar and Mattercraft. Mattercraft is Zappar's browser-based augmented reality creation platform — build and deploy WebAR experiences without an app, at mattercraft.io. If you like what you hear, subscribe to The AI XR Podcast on Apple Podcasts or wherever you listen. Watch on YouTube - https://youtu.be/I8hLgBneUasSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Big Tech is pouring hundreds of billions into AI, but with rising signs of an industry bubble and some real-world fallout, this week's episode digs into who actually wins, who stands to lose, and whether Apple's patient strategy may outsmart the hype. Big Tech firms beat earnings expectations amid AI spending questions RIP the $599 Mac Mini, you were too beautiful for this world Microsoft lifts 2026 AI spend by $25 billion to cover component price rises Microsoft speeds up in Big Tech's data center spend-off Crosswording the Situation Meta's historic loss in court could cost a lot more than $375 million Utah first state to hold websites liable for users who mask their location with VPNs — law goes into effect, designed to prevent bypassing age checks Australia unveils a 2.25% levy on Meta, Google, and TikTok Meta found in breach of EU law for failing to keep children off Facebook and Instagram Meta inks deal for solar power at night, beamed from space Musk v. Altman week 1: Elon Musk says he was duped, warns AI could kill us all, and admits that xAI distills OpenAI's models OpenAI-backed 1X opens California factory targeting 10,000 home humanoid robots in year one Sam Altman asked GPT-5.5 to plan its own launch party. Its requests were 'beautiful' but 'strange.' Sam Altman says Elon Musk can come to his GPT 5.5 party: 'World needs more love' The US Senate unanimously passed a rule barring senators from trading on prediction markets like Kalshi and Polymarket, amid rising concern over insider trading 'We Know You Live Right Here': No Secrets in America's New Surveillance Dragnet California to begin ticketing driverless cars that violate traffic laws China Suspends New Autonomous Driving Permits After Baidu Outage China has decided that firing a worker because an AI can do their job is illegal. No Western country has done the same. Maryland Is First to Ban A.I.-Driven Price Increases in Grocery Stores The most severe Linux threat to surface in years catches the world flat-footed Hackers are actively exploiting a bug in cPanel, used by millions of websites The Hottest Anti-AI Gadget Is a Cyberdeck Jack Dorsey-backed Vine reboot Divine launches to the public GameStop eyes eBay takeover in audacious $46 billion bet on Ryan Cohen's e-commerce vision AI-generated actors and scripts are now ineligible for Oscars Ukraine says it's training drone pilots in 'Grand Theft Auto V' This free website is like Wikipedia meets the CIA Light Phone III Is a Delightfully Minimalist Smartphone Alternative Valve Steam Controller is here, it's a gamepad in search of a console Bluetooth Connected - The Voices Behind the Connection Spirit Airlines shuts down after Trump's war on Iran doubled jet fuel prices Ask.com has shut down, marking the official farewell to the Internet's favorite butler Pioneering geneticist and decoder of the human genome J. Craig Venter dies at age 79 Host: Leo Laporte Guests: Nicholas De Leon, Devindra Hardawar, and Mikah Sargent Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: helixsleep.com/twit canary.tools/twit - use code: TWIT Melissa.com/twit expressvpn.com/twit box.com/AI

"Not a creative"?