In The Loop

Episode Description:In just ten days, OpenAI went from market leader and top dog to a series of very painful events that threaten its market leadership. This episode breaks down the dramatic collapse of their $3 billion Windsurf acquisition, the power play from Microsoft that unraveled it, and how Google swooped in for a surgical “hackquisition.” But that was just the beginning.We unpack how Elon Musk’s Grok 4 leapfrogged OpenAI’s GPT lineup to become the best AI model in the world (for now), and how Meta pulled off the most aggressive talent raid in recent memory with jaw-dropping offers and the promise of research freedom.This isn't just a bad week. It might be the turning point where OpenAI's grip on the AI race starts to slip.

Context engineering is more than just the latest AI buzzword—it’s shaping up to be the future of how we build truly intelligent systems. In this episode of In The Loop, I explore the shift from prompt engineering to context engineering, why this evolution matters, and how it impacts the effectiveness of AI agents. If you’ve ever wondered why some AI tools feel magical while others fall flat, context engineering holds the answer.I unpack what "context" actually means in the world of AI—from prompts and system instructions to long-term memory and external data. You’ll hear how building multi-agent systems without proper context coordination often fails, and why simpler, sequenced workflows are currently more effective. Whether you’re building AI products or simply using tools like ChatGPT, this episode will change how you think about how they work.⏩ Episode Highlights(01:00) - What is context engineering—and how is it different from prompt engineering?(09:20) - What role are orchestration and multi-agent systems help maintain context and improve p(16:05) - The impact of context engineering: personalization, privacy, and better UX(16:00) - Closing thoughts: what this means for the future of AI🔗 Links & Resources:📖 Episode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset AI website - https://bit.ly/40lJr6B Newsletter - https://bit.ly/ITLnewsletter LinkedIn - https://www.linkedin.com/company/mindset-ai/ YouTube - https://www.youtube.com/@GetMindsetAI TikTok - @get.mindset.ai

In this episode of In the Loop, I bring you a very top-of-mind topic: how AI is transforming the job market—but this time, we’ll focus on the jobs AI will create. I unpack a recent New York Times article that outlines 22 new roles AI is expected to create, and contrast it with a powerful historical perspective on the Luddites, offering a surprising lens on the current AI discourse.This isn't just about technology—it's about people, work, and the way progress reshapes our lives. From fears of job loss to the deeper ethical and societal implications, I explore the big questions: Should we slow down innovation to protect current livelihoods? Or do we owe it to the future to push forward, even if the transition is tough? Whether you're anxious or excited about AI, this episode brings clarity, context, and a little hope.⏩ Episode Highlights (00:50) - Exploring the global tension around AI and economic anxiety.(04:50) - A little history: Did the Luddites have a point? What they really fought for and what we can learn.(09:20) - Why today’s comforts are built on past generations’ risks.(11:15) - AI job displacement vs. AI job creation: 22 new jobs AI will create.(16:25) - Closing thoughts: Compassion for a successful AI transition.🔗 Links & ResourcesNew York Times article: 22 New Jobs AI Could Give YouEpisode transcript with more resources on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀🤝 We’re SocialStay in the loop—even when you’re not listening to this podcast.Jack HoughtonLinkedIn - https://www.linkedin.com/in/jack-houghton1/ TikTok - @jackschats Mindset AiMindset AI website - https://bit.ly/40lJr6B Newsletter - https://bit.ly/ITLnewsletter LinkedIn - https://www.linkedin.com/company/mindset-ai/ YouTube - https://www.youtube.com/@GetMindsetAI TikTok - @get.mindset.ai

This week, I’m diving into one of the most insightful pieces of research I’ve come across lately—a report by a16z based on interviews with over 100 enterprise CIOs across five industries. If you’re building, selling, or using AI in a big company—or just trying to understand how enterprise AI is evolving—you’ll want to hear what’s really driving AI adoption at scale.In this episode of In The Loop, I break down three of the most interesting trends from the report that totally shifted how I think about enterprise AI today. From the dramatic shift from “build” to “buy,” to a budget explosion that shows just how serious companies are about integrating AI, to how wrong we all were about model consolidation—this research is packed with mind-blowing insights. Whether you're a SaaS founder, enterprise tech leader, or AI enthusiast, there's something in here for you.⏩ Episode Highlights(01:00) – Why enterprises are ditching "build" for "buy" when it comes to AI solutions(06:40) – Budget explosion: AI spending grows 75% beyond expectations(09:55) – Customer-facing AI: the next wave of enterprise adoption(11:10) – How wrong we were about LLM consolidation—and why multi-model is the future(16:45) – What this all means for builders: why it’s time to move faster than everLinks & Resources🤖 Check out Mindset AI’s customer-facing embed AI agents📊 a16z How 100 Enterprise CIOs Are Building and Buying Gen AI in 2025📖 Episode transcript + graphs on the Mindset AI blogIf you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀

In this episode of In The Loop, I unpack what feels like a turning point for Apple—and not in a good way. From a lackluster WWDC 2025 filled with buzzwords instead of breakthroughs, to a baffling research paper, The Illusion Of Thinking, that downplays the entire AI industry, Apple seems more confused than ever about its future.And then comes the gut punch: Jony Ive, the design visionary behind nearly every iconic Apple product, has joined forces with OpenAI to shape the next era of AI hardware. It’s a move that says more about Apple’s current state than any press release or gimmicky marketing campaign ever could.I’ll break down the three major signals that Apple may be spiraling. ⏩ Episode Highlights(00:50) - Apple WWDC 2025 keynote letdown: Liquid Glass instead of Siri innovation(02:50) - Reason 1: Siri’s downward spiral and Apple’s decade-long AI fumble(07:05) - Reason 2: The controversial Apple research paper on AI reasoning (The Illusion of Thinking)(11:10) - Reason 3: Jony Ive joins OpenAI to design the next generation of AI devices(13:50) - The big takeaway: Apple’s lost identity and the cost of playing it safe🔗Links & Resources:🎧 EP9 - Apple’s AI Crisis Exposed: Is It Having A Nokia Moment?🍎 Apple’s The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity📖 Read the written version of this episode on the Mindset AI blog (with all relevant links and resources). Read here.If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀

Mary Meeker is back after six years with a deep dive into AI—and in this episode of In The Loop, I break it down and explain why this technology isn’t just another trend. From lightning-fast adoption to its global reach and disruptive potential, I explore how AI is unfolding in ways no tech ever has before.But beyond the big headlines, I also dig into the real-world implications. What’s actually working when it comes to AI implementation? Where is the hype overshooting the reality? I share where the real value is being created—and why most of it isn’t happening where you’d expect. If you want a grounded, honest take on the state of AI right now, this one’s for you.⏩ Episode Highlights(01:00) - How AI adoption is outpacing every tech wave before it(08:10) - Global reach and geopolitical power plays: AI leadership as global leverage(10:50) - The breadth of AI’s disruption—exponential leaps(12:15) - My honest take on all of this data: Why AI agents are promising in theory but fragile in practice—right now—and what the future holdsLinks & Resources💹 Mary Meeker’s AI Trends Report 2025📖 Written version with charts here.If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀

Is the rise of AI signaling the end of entry-level jobs? Fresh insights reveal a staggering 50% drop in junior hiring, sparking concerns over a potential Lost Generation. The podcast dives into the disconnect between digital skills and human development, urging rethinking of education pathways. It discusses the moral responsibilities of employers to nurture talent and explores innovative global apprenticeship models as potential solutions. Tune in for a critical look at how we're shaping the future of work.

Explore the highlights from two major AI conferences that unveiled over 150 new features in one week. Discover how Microsoft envisions an 'Open Agentic Web' targeting enterprise solutions, while Google focuses on consumer-driven innovations like AI Search and wearable tech. Dive into the contrasting strategies that could shape the future of our digital experiences, making it a must-listen for tech enthusiasts and curious minds alike!

By the end of this In The Loop episode, you’ll have a clear breakdown of the five categories of AI features SaaS companies are launching right now—and the frameworks product teams can use to design them. From small, delightful UX enhancements to semi-autonomous AI agents and powerful standalone AI-native platforms, I walk you through how companies like Google, Stripe, Notion, Attio, and Mindset AI are thinking about their AI strategy.After reading Rich Holmes' fantastic analysis from the Department of Product, which reviewed 25+ major AI feature launches, I was inspired to dig into this topic. I’ve taken that foundation and layered on what I’m seeing firsthand with Mindset AI customers and in the AI products we’re building. Whether you're a founder, product manager, or just AI-curious, this episode will give you a practical lens for understanding how the next wave of software is being built.⏩ Episode Highlights(00:40) – Type 1: Embedded UX—invisible, contextual, yet powerful AI features(07:00) – Type 2: AI Agents that control existing functionality and why they’re a game-changer(10:40) – Type 3: Domain-specialized workflow agents tailored to Jobs To Be Done (JTBD)(13:25) – Type 4: Gen Ai-focused features (glance-over)(14:05) – Type 5: AI-native standalone apps and how they’re redefining entire categories—while disrupting traditional SaaSLinks & Resources:🔗 Rich Homes, Department of Product: Deep (on Substack)💌 Interested in our upcoming product launches and the private Beta? Subscribe here to get notified. 📖 Read the written version of this episode on the Mindset AI blog (with all relevant links and resources). Read here.If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends. 🚀

This week’s In The Loop dives into the battle for the future of AI computing—and it’s getting fierce. In this episode, I break down three major AI battlegrounds that could reshape how we code, search, shop, and interact online. It’s Google vs. OpenAI vs. Meta in a high-stakes war that’s as much about market dominance as it is about redefining how we use technology every day.From Google's game-changing Gemini 2.5 launch to Meta’s bold push into consumer AI with their latest app, and OpenAI’s stealthy assault on Google Search, I connect the dots between strategy, product releases, and billion-dollar plays. There’s a lot happening under the surface—and some of these moves could fundamentally shift who owns your digital attention.⏭️ Episode highlights(00:35) – Battleground #1: AI coding(02:20) – Battleground #2: Consumer AI market(09:30) – Battleground #3: Search & Shopping🔗 Related LinksEP14 - What's AI ReallyUsed For: The Real State Of AI Adoption In 2025📖 Read the written version of this episode on the Mindset AI blog (with all relevant links and resources). Read here.If you enjoyed this episode, rate, follow, and share! It helps others stay ahead of the latest AI trends.