Food for Agile Thought #540: Change Needs Glue People, AI Tool FOMO, Product Builders, Stanford’s 2026 AI Report

TL; DR: Change Needs Glue People — Food for Agile Thought #540

Welcome to the 540th edition of the Food for Agile Thought newsletter, shared with 35,625 peers. This week, John Cutler warns that replacing “glue people” with AI ignores the invisible judgment and political navigation that made their work valuable, while Teresa Torres and Petra Wille suggest that resisting AI tool FOMO and focusing on real problems leads to deeper learning. Tugce Erten adds that enterprise buyers pick indispensable products over cheap ones, and Grant Harvey notes that Claude Opus 4.7’s visual reasoning gains come with quietly inflating costs. Stanford HAI’s 2026 AI Index confirms that capability is accelerating rapidly while governance trust crumbles globally, a dynamic Tom Geraghty roots in history: the 1628 Vasa disaster shows that when steep power gradients silence the people closest to the work, avoidable failures become inevitable.

Next, Clay Parker Jones reminds us that good ideas fail because of flawed organizational systems, not flawed thinking, while Roman Pichler and Jeff Gothelf both caution that AI-assisted prototyping and vibe coding cannot replace the discovery judgment at the core of product management. On the infrastructure side, Tomasz Tunguz reports GPU prices up 48% in two months, squeezing startups toward smaller models, as Beatrice Nolan covers growing user backlash over Anthropic quietly dialing back Claude’s default effort. Sarah Gibbons and Kate Moran close the loop: AI agents are already navigating interfaces as users, making accessibility a hard business requirement overnight.

Lastly, a worldwide survey of 425 B2B product managers confirms what many already suspect: strategy loses to operational reactivity, and discovery stays neglected. University of Pennsylvania researchers add a sharper edge, finding that 73% of participants accepted faulty AI reasoning without pushback, a pattern they call “cognitive surrender.” Kevin Kelly captures AI’s paradox with “dumbsmarten,” while Jeff Crume warns that teams rushing AI into production accumulate technical debt across data, models, prompts, and governance. Finally, the Andon Labs team hands their San Francisco retail store to an AI named Luna, surfacing uncomfortable questions about transparency and AI managing humans.

Food for Agile Thought #540: Change Needs Glue People, AI Tool FOMO, Product Builders, Stanford’s 2026 AI Report - Age-of-Product.com


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🏆 The Tip of the Week: Glue People

John Cutler: Before You Fire All Your Glue People Because of AI

John Cutler warns that firing ‘glue people’ because AI can replicate their visible outputs misses the invisible 80%: the judgment, relationships, and political navigation that made those outputs matter.

🎯 Product

Teresa Torres and Petra Wille: FOMO

Teresa Torres and Petra Wille tackle the widespread AI tool FOMO, proposing that starting with real problems rather than chasing every new tool and going deeper with fewer experiments leads to more meaningful learning.

(via Andreessen Horowitz): Surviving AI Price Wars Without Destroying Your Business

Tugce Erten proposes that AI startups rarely need to win on price, since enterprise buyers have real budgets, run multiple tools in parallel, and choose the product that proves indispensable, not the cheapest one.

Roman Pichler: Should Product Managers be Product Builders?

Roman Pichler cautions that while AI tools make product builders appealing, coding and prototyping must not displace a product manager's core job: maximizing product value through strategy, discovery, and user empathy.

Saeed Khan and Jason Knight: The State of B2B Product Management

This worldwide survey of 425 B2B product management professionals across 37 countries finds that strategy is routinely sidelined by operational reactivity, discovery stays under-prioritized, and a notable disconnect exists between product leaders and their teams.

Jeff Gothelf: Vibe coding surfaces the questions. Product management answers them.

Jeff Gothelf warns that vibe coding lets anyone build interactive prototypes in minutes. Still, AI cannot answer the product discovery questions that those prototypes expose, and good product management judgment remains irreplaceable.

🧠 Artificial Intelligence

(via The Neuron): Claude Opus 4.7 Dropped Today. Here's Whether It's Worth the Switch (and the Hidden Rate-Limit Tax Everybody's Talking About).

Grant Harvey proposes that Claude Opus 4.7's visual reasoning leap is its most compelling upgrade. Still, he warns that a new tokenizer and always-on adaptive thinking quietly inflate real costs, even though the per-token price stayed flat.

(via Fortune): Anthropic faces user backlash over reported performance issues with its Claude AI chatbot

Beatrice Nolan reports that Anthropic faces serious user backlash over Claude's quietly reduced default effort level, with developers calling it unusable for complex tasks and questioning the company's transparency.

(via Stanford HAI): The 2026 AI Index Report: AI’s influence on society has never been more pronounced.

Stanford HAI's 2026 AI Index Report finds AI capability accelerating rapidly, the US-China performance gap nearly closed, responsible AI lagging, and global public trust in institutions to govern AI deeply fragmented.

(via Ars Technica): "Cognitive surrender" leads AI users to abandon logical thinking, research finds

University of Pennsylvania researchers find that 73% of participants accepted faulty AI reasoning without pushback, coining the term 'cognitive surrender' to describe how people increasingly let AI replace their own critical thinking.

(via Andon Labs): We gave an AI a 3 year retail lease in SF and asked it to make a profit

The Andon Labs team signed a 3-year San Francisco retail lease, handed control to an AI named Luna, and watched her hire staff, design branding, and stock shelves, raising real questions about AI transparency and the near-future of AI managing humans.

🖥 💯 🇬🇧 AI4Agile BootCamp #7, May 28 to June 25, 2026

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AI4Agile BootCamp #7, May 28 to June 25, 2026 — Berlin-Product-People.com

Learn more: 🖥 💯 🇬🇧 AI4Agile BootCamp #7, May 28 to June 25, 2026.

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➿ Agile & Leadership

Tom Geraghty: The Vasa Disaster

Tom Geraghty uses the 1628 Vasa warship disaster to show how steep power gradients and the absence of psychological safety prevent critical knowledge from reaching decision-makers, turning avoidable failures into catastrophic ones.

(via IDEO U): Why Good Ideas Die in Organizations (And How to Fix It)

Clay Parker Jones proposes that good ideas fail not from poor thinking but from flawed invisible systems. He offers 75 remixable organizational design patterns covering power, decisions, team structure, and iterative shipping.

Kevin Kelly: Dumbsmarten

Kevin Kelly proposes 'dumbsmarten' to describe AI's paradoxical nature: beating chess grandmasters yet failing to fold a t-shirt, suggesting this brilliance-stupidity combo is a permanent feature of AI, not a temporary bug.

📯 10 Scrum Master Interview Questions for the AI Era

AI tools are reshaping how Scrum Teams work, and Scrum Masters who cannot coach their teams through this shift are not ready for 2026. This article presents ten Scrum Master interview questions that test whether a candidate can facilitate AI adoption without losing self-management. As usual, each question includes answer guidance and red flags.

The questions are drawn from the seventh edition of the 97 Scrum Master Interview Questions guide.

10 Scrum Master Interview Questions for the AI Era — Age-of-Product.com

Learn more: 10 Scrum Master Interview Questions for the AI Era.

🛠 Concepts, Practices, Tools & Measuring

Tomasz Tunguz: The Beginning of Scarcity in AI

Tomasz Tunguz reports that GPU prices have jumped 48% in two months and that compute scarcity is reshaping AI access, forcing startups toward smaller models and on-premise deployments for years to come.

Sarah Gibbons and Kate Moran (via Nielsen Norman Group): AI Agents as Users

Sarah Gibbons and Kate Moran of Nielsen Norman Group propose that 'user' no longer means 'human,' as AI agents now navigate interfaces, fill forms, and execute tasks, making accessibility best practices suddenly a hard business requirement.

(via IBM): 📺 What is AI Technical Debt? Key Risks for Machine Learning Projects

Jeff Crume explains that AI technical debt grows when teams prioritize speed over discipline, covering four risk areas: data quality, model versioning, prompt security, and organizational governance, urging structured development over 'ready, fire, aim.'


📅 Scrum Training & Event Schedule

You can secure your seat for Scrum training classes, workshops, and meetups directly by following the corresponding link in the table below:

Date Class and Language City Price
🖥 💯 🇬🇧 April 15-29, 2026 Guaranteed: Claude Cowork BootCamp (English; Live Virtual Cohort) Live Virtual Cohort $149 incl. 19% VAT (If applicable.)
🖥 💯 🇩🇪 May 19-20, 2026 Guaranteed: Professional Scrum Product Owner Training (PSPO I; German; Live Virtual Class) Live Virtual Class €1,299 incl. 19% VAT (If applicable.)
🖥 💯 🇬🇧 May 28 to June 25, 2026 Guaranteed: AI4Agile BootCamp #7 (English; Live Virtual Cohort) Live Virtual Cohort €499 incl. 19% VAT (If applicable.)
🖥 🇩🇪 June 30-July 1, 2026 Professional Scrum Product Owner Training (PSPO I; German; Live Virtual Class) Live Virtual Class €1,299 incl. 19% VAT (If applicable.)

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✋ Do Not Miss Out: Learn more about Glue People and Change — Join the 20,000-plus Strong ‘Hands-on Agile’ Slack Community

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Help your team to learn about how AI Intensifies Work by pointing them to the free Scrum Anti-Patterns Guide:

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🗞️ Last Week’s Food for Agile Thought Edition

Read more: Food for Agile Thought #539: Sam Altmann? Bottom-Up Roadmaps, Cycles of Disruption, The Last Four Jobs.

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