『Why Work Feels Fake - How big companies confuse activity with progress』のカバーアート

Why Work Feels Fake - How big companies confuse activity with progress

Why Work Feels Fake - How big companies confuse activity with progress

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Why can an organization be full of intelligent people, enormous budgets, and constant activity — and still struggle to produce anything real?

Daniel and Maya go underneath the meetings and roadmaps, into the machinery that quietly turns work into the appearance of work: the wall between "the business" and engineering, the ticket-and-roadmap universe where progress is performed rather than made, architecture diagrams that describe a company that doesn't exist, and the finance, HR, and budgeting rituals that steer by the rearview mirror. Then the turn: AI is collapsing the cost of finding out the truth — and organizations built on ambiguity are about to find pretending very expensive.

CHAPTERS00:00 — Cold open: the meeting where everyone stays quiet03:45 — What this episode argues (and where it might be wrong)05:30 — Tech-company payroll, factory nervous system09:00 — Why reality is expensive and vagueness is cheap13:00 — The wall between "the business" and engineering17:00 — The restaurant where chefs never taste the food22:00 — Fourteen people approve an impossible plan27:00 — The parallel universe: tickets, roadmaps, fake progress30:00 — A €400k migration that changed nothing34:00 — Products that don't exist in the codebase39:00 — Microservices that share one steering wheel45:00 — Six weeks to add a text string48:00 — Why nobody writes reality down55:00 — AI as the unforgiving reader61:00 — Truth for cents, not millions64:00 — The resistance: finance, HR, budgeting71:00 — The alternative: teams that own reality end to end77:00 — What an AI would say your job actually is

Core models and further reading:

Daniel Reed and Maya Chen are fictional hosts performed with synthetic voices. Each episode is produced with AI-assisted research, writing, and audio tools, under human editorial direction and review.

Further Reading:

  • Mel Conway — How Do Committees Invent? (1968) - the original statement of Conway's Law
  • Fred Brooks — The Mythical Man-Month - why adding people and process doesn't make software faster
  • Matthew Skelton & Manuel Pais - Team Topologies - designing team boundaries for flow and ownership
  • Marc Andreessen - Why Software Is Eating the World (2011) - the moment every company became a software company
  • David Graeber - Bullshit Jobs- the lived experience of work that produces nothing
  • Goodhart's Law - "when a measure becomes a target, it ceases to be a good measure" - the one-line theory of ticket-driven work


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