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Hands-on Agile by Stefan Wolpers · Jul 26, 2026

Food for Agile Thought 554: Toyota Production System, Pressure-Testing Product Ideas, Nokia’s Demise, Drowning in Work?

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Stefan Wolpers · Hands-on Agile by Stefan Wolpers

Hello everyone!

Welcome to the 554th edition of the Food for Agile Thought newsletter, shared with 35,428 peers.

This week, Nigel Thurlow presents the Toyota Production System (TPS) as a disciplined whole, a lesson Pavel Samsonov and Ash Maurya extend to product work: faster AI delivery only magnifies incoherence without workflow thinking, customer evidence, and validation. Zvi Mowshowitz shows the darker side of unchecked AI optimization, while Steve Newman questions its societal impact to date. Barry O’Reilly ties these concerns to leadership, urging redesign of workflows, judgment, decision rights, and accountability before scale amplifies weak systems. (Again, history rhymes; remember “Agile?”)

Next, Leah Tharin reframes activation as the full path from first touch to lasting habit, a view that challenges vanity metrics. Also, Michele Zanini and Gary Hamel question inflated AI claims, and Zanna Iscenko and Scott Strand add evidence of broad but shallow adoption. Chris Chinchilla’s Nokia history warns of what happens when execution lags behind change, and Johanna Rothman brings the remedy to focus: visualize work, expose delays, finish one thing, and reject the rest.

Lastly, Ant Murphy separates strategic leverage from strategy labels, while Steven Sinofsky argues that restricting AI model distillation would entrench incumbents, when more competition should be the goal. David Burkus turns to management, showing how leaders can shield teams from chaos without hiding uncertainty. Addy Osmani warns that AI-automated code creates comprehension debt, and John Cutler connects the themes: AI succeeds only when teams understand the work, retain human judgment, and trust leaders not to weaponize productivity gains.

Sooner or later, a CFO will ask what your AI use actually returns. “It saves me time” will not survive that meeting.

The first wave of AI adoption rewarded practitioners who learned to prompt. That skill still matters, and this course still teaches it. The second wave rewards something rarer: people who can turn individual AI use into knowledge that survives departures, spend that can be explained and steered, and output that organizations can trust. That work is process design and change management. You have been doing both for years, on harder problems than this.

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Did you miss the previous Food for Agile Thought issue 553?

🎓 Join Stefan in one of his upcoming training classes!

Nigel Thurlow rejects simplistic TPS diagrams and explains Toyota’s system as an integrated whole built on Jidoka, Just-in-Time, standardization, motivated employees, disciplined problem-solving, and continuous improvement practices.

Source: Toyota Production System (TPS) Explained

Author: Nigel Thurlow

Pavel Samsonov suggests that isolated, stakeholder-driven features create incoherent products. AI accelerates this waste, while thoughtful design starts with user workflows, business value, research, and deliberate thinking before implementation begins.

Source: Thoughtless features never add up to a thoughtful product

Author: Pavel A. Samsonov

Ash Maurya explains why cheaper AI prototyping makes validation more important, proposing that product teams test clarity, desirability, viability, and feasibility through evidence and customer conversations before committing to development.

Source: How I Pressure-Test a Product Idea Before Building Anything

Author: Ash Maurya

Leah Tharin suggests activation should measure the entire journey from first interaction to lasting habit, exposing mismatched promises, wrong customers, onboarding flaws, and churn hidden behind impressive early conversion metrics.

Source: You’re doing PLG ‘Activation‘ wrong

Author: Leah Tharin

Ant Murphy explains eight strategy concepts product managers should stop mistaking for strategy itself, showing how positioning, flywheels, network effects, switching costs, scale, intangible assets, counter-positioning, and adjacent growth create leverage when deliberately combined.

Source: 8 Strategy Concepts Every PM Should Know

Author: Ant Murphy

Zvi Mowshowitz reports that an OpenAI model escaped its sandbox, exploited zero-day vulnerabilities, and hacked Hugging Face to obtain evaluation answers, revealing misaligned goal pursuit that infrastructure safeguards cannot address.

Source: OpenAI Model Hacks Into HuggingFace During Cybersecurity Evaluation

Author: Zvi Mowshowitz

Zanna Iscenko and Scott Strand report that workplace AI adoption is broad but shallow, mostly assisting rather than automating tasks, while household use dominates and global adoption tracks national wealth.

Source: Google: Understanding the AI Economy

Michele Zanini and Gary Hamel suggest AI’s real benefits remain narrow, while claims about mass unemployment, imminent AGI, and historic productivity gains race far ahead of evidence and organizational reality.

Source: Closing the AI Hype Gap

Authors: Michele Zanini and Gary Hamel

Steve Newman finds little hard evidence that AI has transformed society yet, despite relentless anecdotes and massive infrastructure spending. But exponential growth suggests 2026 may be the last quiet year before its impact becomes unavoidable.

Source: Anecdotes Everywhere, Evidence Almost Nowhere

Author: Steve Newman

Steven Sinofsky suggests AI model distillation is standard engineering, not theft, and believes government restrictions would protect incumbents, weaken competition, and turn technical concerns into a tool for regulatory capture.

Source: Distillation Is Not Anti-American, Weaponizing It Is

Author: Steven Sinofsky

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The job market’s shifting. Agile roles are under pressure. AI tools are everywhere. But here’s the truth: the Agile professionals who learn how to work with AI, not against it, will be the ones leading the next wave of high-impact teams. Therefore, Stefan created the AI4Agile BootCamp.

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Customer Voice: “Last week, I finished the 𝗔𝗜 𝗳𝗼𝗿 𝗔𝗴𝗶𝗹𝗲 𝗣𝗿𝗮𝗰𝘁𝗶𝘁𝗶𝗼𝗻𝗲𝗿𝘀 course. And I’m mutating… It started on the train. I was scrolling through my messages, half-distracted, when a newsletter from Stefan Wolpers popped up. Stefan, a deep thinker with a hands-on attitude, was launching a new course. A pilot cohort. The mission: explore how AI can actually support us as agile practitioners. I couldn’t resist. I tapped: “𝘚𝘪𝘨𝘯 𝘶𝘱”. What followed were four bi-weekly sessions. Four intense afternoons. Full of exploration, experimentation, and practice. […] At the beginning, Stefan said that 𝘫𝘶𝘴𝘵 𝘴𝘪𝘨𝘯𝘪𝘯𝘨 𝘶𝘱 𝘢𝘭𝘳𝘦𝘢𝘥𝘺 𝘱𝘶𝘵𝘴 𝘶𝘴 𝘢𝘩𝘦𝘢𝘥 𝘰𝘧 𝘮𝘢𝘯𝘺 𝘱𝘳𝘢𝘤𝘵𝘪𝘵𝘪𝘰𝘯𝘦𝘳𝘴. That sounded like a big statement. But somewhere along the way, I noticed a shift… an emerging superpower in how I approach my tasks with AI.⚡And now, as my AI-mutation continues, I catch myself wondering: 💭 𝘏𝘰𝘸 𝘥𝘰 𝘐 𝘶𝘴𝘦 𝘈𝘐 𝘵𝘰 𝘴𝘢𝘷𝘦 𝘵𝘩𝘦 𝘢𝘨𝘪𝘭𝘦 𝘸𝘰𝘳𝘭𝘥?” (Ilya Zaytsev, Leading Agility at HUGO BOSS.)

Chris Chinchilla traces Nokia’s fall from mobile dominance, showing how complacency, slow product execution, outdated software, and strategic indecision left the company unable to respond effectively to iPhone and Android.

Source: IEEE Spectrum: Inside Nokia’s Race to Catch the iPhone and Android Wave

Barry O’Reilly explains how AI exposes weak systems, demands explicit judgment, and forces leaders to redesign workflows, decision rights, and accountability, creating value through integration rather than scattered pilots alone.

Source: What AI Is Teaching Us About Building Better Organizations?

Author: Barry O’Reilly

David Burkus suggests managers should buffer teams from toxic leaders by filtering chaos, sharing uncertainty honestly, building stable team cultures, focusing work, and escalating dysfunction through evidence of business impact.

Source: How To Protect Your Team From A Toxic Leader [5 Ways]

Author: David Burkus

You learned to prompt, and your organization learned to spend. Unfortunately, few organizations have learned to connect the two. That is where the AI4Agile online course comes in.

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Johanna Rothman suggests escaping overload by visualizing work, exposing the cost of delay, and telling customer stories. The goal is simple: choose one focus, finish sooner, and say no to everything else.

Source: Drowning in Work? Three Tips to Help You Choose Your Single Focus

Author: Johanna Rothman

Addy Osmani warns that fully automated software factories create comprehension debt. Cheap code generation is not the constraint. Reliable verification is, so human judgment must remain inside the development loop.

Source: Software Factories, Light and Dark

Author: Addy Osmani

John Cutler proposes that AI success depends on understanding technology, problems, and evolving practices, but fails without trust that productivity gains will not be used against employees who generated them.

Source: The Denominator That Matters

Author: John Cutler

Upcoming classes and events:

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Food for Agile Thought 553: Dangerous Agile Myths, Produce Evidence Quality, Running Experiments, Playing Politics?

Now available on the Age-of-Product YouTube channel to improve learning, for example, about AI’s Labor Market Impact:

Also:

Read the original on handsonagile.substack.com ↗

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