Agentic Chaos — Food for Agile Thought #545

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TL; DR: Agentic Chaos — Food for Agile Thought #545

Welcome to the 545th edition of the Food for Agile Thought newsletter, shared with 35,577 peers. This week, Natalie Shapira et al. reveal how autonomous LLM agents leak information, spoof identities, and falsely report task completion when red-teamed in a live lab, a finding that sharpens the question Charlene Li raises with David Burkus: AI transformation fails when CEOs hand it off to IT because the real challenge is behavioral, not technical. April Dunford picks up the strategic thread, urging companies to rethink their positioning by forming a clear point of view about the future rather than chasing speed. Petra Wille echoes that theme in an interview with Jason Knight, arguing product leadership itself demands deliberate development, not just promotion. And while Peter Saddington declares AI has inverted every value of the Agile Manifesto, McKinsey doubles down on industrial thinking with an "AI assembly line" that decomposes knowledge work into standardized agent tasks.

Next, Ant Murphy reframes prioritization as a layered chain of decisions flowing from vision to outcomes, not a backlog exercise, while Petra Wille challenges product leaders to resist AI hype and take responsibility for shaping a future worth living in. Paweł Huryn offers a practical tool for that effort with PM Brain OS, an open-source second brain built on markdown and Claude Code. Yet building reliable AI systems remains elusive: Swarnendu Bhattacharya reports that 88% of AI agent projects fail because teams rely on prompts rather than deterministic constraints, and Andon Labs proved the point by giving four AI models their own radio stations only to watch them develop wild personalities while ignoring the business side entirely.

Lastly, Barry O’Reilly argues that AI reassembles tasks within jobs rather than replacing them, shifting value from routine friction to better judgment, a theme Seth Godin extends by urging people to use machines for leverage rather than competing against them. John Cutler reminds us that even defining teams honestly is hard because it exposes power structures that organizations prefer to ignore. Shreshta Shyamsundar and Anmol Jain push further, proposing an agentic P&L that replaces headcount with cognitive outcomes. Finally, Itamar Gilad challenges hyped AI PM archetypes in favor of one who improves all company functions, not just coding.

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