Pierce Buxton

NEW JOB TITLES IF YOU ARE DEPLOYING AGENTIC AI🤓😜 If you’re deploying agentic AI in a regulated industry… Congratulations. You just created a whole new org chart. Because the moment an AI agent touches healthcare, law, insurance, or finance, you don’t just have “AI.” And the rules about accountability and professional responsibility have not changed. Here are the new job titles every regulated industry will have to consider: 1. Chief “Who Approved This?” Officer 2. Licensed AI Babysitter 3. Director of Nope 4. AI Hallucination Containment Lead 5. Stop-the-Line Button Owner 6. Head of Proof (a.k.a. Exhibit A) 7. AI Decision Trail Detective 8. Regulator Whisperer 9. VP of “That’s Not What We Meant” 10. AI Permission Police 11. Professional Responsibility Enforcer 12. The Person Who Gets Deposed But when the board, regulators, or judge asks: “Who approved this?” “The system did” is not an answer. It’s a confession. Protect the people you serve, including yourself. #iGovernAI™ 🤓❣️ #GovernBeforeYouAutomate™ #GovernBeforeYouInnovate™

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MCP has quietly become the secret weapon for enterprise AI transformation. While everyone debates whether AI will replace jobs, we're seeing something more interesting: MCP servers are turning enterprise data into the spark that sets off AI evolutions overnight. At Intrinsic Labs, MCP's interoperability and speed transformed how we deliver and engineer context for LLMs. It's changed our internal product development workflows so significantly (60% faster cycle times) that it became our go-to recommendation for clients as a first step in their journey toward AI adoption. Here's what surprises people: we're seeing this transformation across construction, manufacturing, logistics, industrial, and commercial real estate. Industries not exactly known for being first-movers on tech adoption. Once our clients experience state-of-the-art AI models paired with perfectly engineered business context, light bulbs go off across the company. Here's the pattern we see for one easy quick win: Granola for meeting transcriptions, automatically stored in Notion, then accessed by Anthropic's Claude via the Notion MCP beta. This gives your team an incredibly powerful tool. What used to take hours of manual analysis—tracking client concerns, identifying action items, spotting competitive insights—now happens in seconds. Teams ask natural language questions and get answers from real-time context across every meeting in your company. MCP isn't just for interactive queries either. With tools like MCP-Cron and LangGraph AI, we're now automating entire workflows that route meeting insights directly to CRMs, trigger Slack alerts, and update project management systems—all while maintaining the rich context that makes AI actually useful. This is typically the second step on the AI transformation journey. Bottom line: The companies moving on this now are building 12-18 month advantages while others are still debating vendor selection. For more details about when to choose MCP vs. APIs check out this recent post on our blog (link in comments).

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The best AI apps today are being built like infrastructure companies. Great breakdown from the awesome 💡 Yazan "Yaz" El-Baba on why technical depth, rapid iteration, and margin-aware architectures are becoming table stakes for AI startups. Definitely worth a read: https://lnkd.in/gMVFFXgH 

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*🗓 This Week at OpenAI:* * *Partners with Broadcom to build 10GW of AI chips* and expand beyond Nvidia. * *Walmart integrates ChatGPT* to power AI shopping and enter e-commerce. * *Salesforce connects Agentforce 360 to ChatGPT* for enterprise automation. 🚀🚀🚀

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🪛 It's been exciting to see what Cloudflare has been tooling up - from Workers #AI to their early foray into Media over QUIC (#MoQ) they're building a platform that makes distributed real-time systems easier than ever to build and maintain. 🏗️

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Just wrapped our earnings call and wanted to share a few highlights from the quarter. Bottom line: We’ve got great momentum across our AI platform and our family of Copilots, fueling our increasing investments in both capital and talent. We’re building a planet-scale cloud and AI factory. We’ll increase our AI capacity by 80% this year, and nearly double our DC footprint over the next two. That includes Fairwater in Wisconsin, the world’s most powerful AI datacenter, which will scale to two gigawatts alone. We are building a fungible fleet that spans every stage of the AI lifecycle and is constantly optimized to deliver the best ROI and TCO for us and our customers. One example: during the quarter, we increased the token throughput for GPT-4.1 and GPT-5 by more than 30% per GPU. Our family of Copilots and agents also surpassed over 150 million monthly active users across high value domains: • Information work: 90 percent of the F500 now use Microsoft 365 Copilot – and we’re shipping updates very fast • Coding: GitHub Copilot now has 26 million-plus users • Security: 36+ agents integrated across Entra, Defender, Purview, Intune • Science & Health: We helped document 17 million-plus patient encounters, up 5X year over year • Consumer: Tons of new capabilities announced over the past two weeks, from Groups and Mico in Copilot, to "Hey Copilot" in Windows And this week, we signed a new agreement with OpenAI, a milestone for both companies. It’s been an incredible investment, with nearly 10X return and no carry. All the value goes straight to shareholders. Another thing I feel super proud about is that Microsoft is now behind two of the largest nonprofits in the world! You can read more about our results here: https://lnkd.in/gxtVeMk2

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This week we announced more MongoDB product innovations that will help reshape what's possible in AI. Our new Voyage AI by MongoDB models deliver more accurate and cost-efficient results, while new partnerships for agentic AI workflows simplify scalability and reliability, making it easier than ever for businesses to build trustworthy AI solutions. Business and tech leaders across APAC are striving to unlock real-world impact from AI - whether it’s modernizing banking systems or building AI-first applications that scale globally. MongoDB’s ability to consolidate structured and unstructured data, power real-time decisions, and deliver integrated vector search has already demonstrated it's the ideal foundation for AI applications that demand accuracy, scalability, and adaptability in an ever-changing landscape. With these new advancements, I can’t wait to see how our customers push the boundaries of innovation. Read more here: https://lnkd.in/gADYwgyj #MongoDB #AI #VoyageAI #Innovation #AgenticAI

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What happens when a father and son set out to teach generative AI across the globe? We found out on this week’s Sidecar Sync podcast, where Mallory Mejias, AAiP and I had the pleasure of sitting down with Finn and Conor Grennan, the first father-son duo we’ve had on the show. Conor is NYU Stern School of Business's Chief AI Architect, advising top-tier organizations like NASA, Google, and PwC on AI adoption. Finn? He’s just finished his sophomore year of high school…and is already shaping his school’s AI strategy and leading workshops in Nepal. Yes, Nepal. What stood out? - AI feels like magic. Whether you’re a nonprofit leader in the U.S. or an educator in Nepal, the awe, curiosity, and fear are shared across borders. - Peer-to-peer learning matters. When Finn, a teenager, led sessions on AI for educators and NGOs, the response was powerful. Why? Because when the messenger feels relatable, the message lands deeper. - Education is ripe for disruption. For centuries, the cycle has been teach → memorize → test. GenAI challenges this, making it harder to tell if it’s the student or the AI being tested, and that forces us to rethink what learning truly means. - The AI adoption blueprint is surprisingly universal. Whether you're in pharma, finance, or a remote village, it's less about prompts and tools, and more about starting with what you actually do. From there, AI becomes your second brain. I’m inspired by Finn’s clarity, Conor’s humility, and their shared mission to democratize AI education. For #associations, there’s a key takeaway: build guardrails, not roadblocks. Empower your members to experiment safely. Encourage bottom-up innovation. Catch the full episode on Sidecar Sync. It’s heartwarming, eye-opening, and a blueprint for how associations can lead in the AI era. Link in comments. Timestamps: 0:00 Introduction 2:09 Backgrounds in AI: From NYU Stern to Sophomore Year 8:52 How Schools Handle AI Guidelines 15:55 The Nepal Trip: Why They Went and What They Did 19:32 Structuring the AI Workshops for Teachers and NGOs 23:06 Cross-Cultural AI Challenges and Common Concerns 28:30 Addressing Critical Thinking and Student Cheating Fears 35:02 Peer-to-Peer Influence and Student-Led AI Learning 42:45 Democratizing AI Education 48:45 Final Thoughts #AIforGood #GenerativeAI #AIInEducation #Nonprofits #DigitalTransformation #Leadership #SidecarSync #AssociationInnovation #AIAdoption #FutureOfWork

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JFrog’s Earnings Leap: Hopping Past Wall Street’s Cloud Rev Forecasts (and Competitors) – ( $FROG $SPY ) https://lnkd.in/gE_hMhKQ JFrog showcased impressive growth in Q3 2025, combining software innovation, cloud momentum, and AI advancements #JFrog #EarningsLeap #FROG #CloudGrowth #DevOps #DevSecOps #AI #SoftwareSecurity #RevenueSurge #MarketLeaders #TechnologyStocks #InvestorConfidence #FinancialResults #QuarterlyEarnings #GrowthStock #SoftwareSupplyChain #Innovation #WallStreet 

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