Summary

Reis argues that AI agent initiatives are quietly failing not because of model quality but because of organizational dysfunction — Conway's Law means agents literally run into the org chart, encoded in schemas, permissions, and pipelines. Agents handle boundaries backwards: they get hard-stopped by permission walls and missing cross-domain joins while confidently plowing through soft knowledge gaps (stale tables, deprecated fields, unwritten caveats) that experienced humans would navigate with caution. The real prerequisite for successful agents is the same painful organizational work — clear ownership, stream-aligned teams, shared semantics — that companies have been avoiding for a decade.

Key Insight

AI agents don't dissolve organizational silos — they encode them in code, amplifying the dysfunction by sailing past unwritten tacit knowledge with false confidence while slamming into every hard permission and data-ownership boundary the org chart has created.

Spicy Quotes (click to share)

• 8

  An agent doesn't float free of your org chart. It runs into your org chart constantly because Conway's Law means the systems it's working in are the org chart, poured into schemas, permissions, and pipelines.

• 8

  Point a swarm of them at a siloed company, and you won't end up with fewer silos; you'll end up with more of them, faster, with better test coverage.

• 7

  Go look at your org chart, then go look at how work actually moves through your company. However far apart those two pictures are, that's about how much trouble your agents are in.

• 4

  A person hits both of those and manages both. They ask for access when they get blocked, and they use judgment on the stuff that isn't written down. Humans find a way to plod along. This is how much of our economy functions.

• 7

  All the money and hope pouring into AI right now is running straight into the people, process, and structure problems we've been sweeping under the rug for a decade. That's the good part, weirdly.

Tone

analytical, pragmatic, skeptical