Ep. 15 You Cannot AI What You Cannot See, the Employee Revolt Against AI at Work, and Why Process Mapping Is Making a Comeback
The magentIQ Show
<p>Ian Barkin catches David Brain mid holiday in France for a conversation that keeps circling back to one conviction they hold deeply: you cannot automate what you cannot see. Map only how you work today and all you get is faster horses. Along the way, a growing employee backlash against being watched and replaced, a surprising regulatory move out of China, and why the unglamorous discipline of process mapping is quietly having a renaissance. The throughline is simple and hopeful: understand what you do and why, and AI becomes a real advantage rather than an expensive guess.</p>
<p>(0:35) What is in this episode: employee pushback, governance, the return of process mapping, and why it is called soccer</p>
<p>(3:19) Founders journal: France, the World Cup, and the origin story of the word soccer</p>
<p>(9:02) The employee revolt: Meta's petition over keystroke and mouse tracking, and what companies keep getting wrong</p>
<p>(15:04) Sabotage in the ranks: why a chunk of workers, especially Gen Z, admit to undermining AI initiatives</p>
<p>(16:22) China's assist not replace rule: a regulatory move to keep humans beside the agents</p>
<p>(22:48) An AI holiday experiment: what a customer service bot abroad reveals about culture and where AI still hands off to a human</p>
<p>(28:25) The flattery problem: when your AI gets a little too good at telling you what you want to hear</p>
<p>(31:32) The governance gap: why deploying fast only works if the guardrails, ownership, and access controls exist</p>
<p>(34:00) Whatever happened to centers of excellence: the structure everyone set up 15 years ago and quietly dropped</p>
<p>(36:41) Citizen development and the bus or lottery problem: what happens when the one person who understood it leaves</p>
<p>(40:00) The process mapping renaissance: why you cannot AI, automate, or improve what you cannot first see</p>
<p>(41:00) As-is versus to-be: understanding today enough to design a better tomorrow, not just automate the present</p>
<p>(47:10) The whiskey company test: use generic AI for the generic, but never for the thing that makes you different</p>
<p>Listen now, and tell us whether your organization can actually see how it works today.</p>
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