Summary

Benn Stancil argues that while OpenAI's pivot to enterprise and business productivity is logical, teaching AI to make business decisions is fundamentally harder than teaching it to code because businesses are uncontained systems that can't be sandboxed. He provocatively suggests that buying a failed company like Allbirds for $39 million could provide the messy, real-world corporate data needed to train enterprise AI, and examines Block's vision of replacing human management hierarchies with an AI 'world model' that coordinates employees.

Key Insight

Enterprise AI faces a fundamental training problem—unlike code, which can be tested in sandboxes, business decision-making requires the messy totality of a real company, suggesting that distressed businesses might paradoxically be more valuable as AI training environments than as going concerns.

Spicy Quotes (click to share)

• 8

  To teach a robot to be an engineer, you need to write a computer science test. To teach a robot to be an employee, you have to first invent the universe—or at least, invent an entire company, with millions of fake product orders, and a diversity of fake customer service tickets, and countless fake internal emails and fake Slack messages, and years of fake market swings and fake trends on Twitter.

• 7

  If you are betting $122 billion on 'a single enterprise platform' that is 'integrated with systems of record, governed by enterprise-grade security, and designed to improve with experience as agents do real work', is that sandbox not worth $39 million dollars?

• 8

  When you raise hundreds of billion dollars with the explicit goal of replacing all knowledge work, normal math equations no longer work. Everything is affordable, and everything that increases your chances of success, even by some tiny percentage, is potentially worth it. It's capitalism's version of Pascal's Wager.

• 8

  Block is no longer a network of people and departments passing notes back and forth to each other. It is a giant box of facts, and its employees put facts in the box, retrieve facts from the box, and eventually, carry out the will of the box's hive mind in the physical world.

• 7

  There is a fine line between a system that coordinates and decides. And between an AI that knows everything and us, who have 'a smattering of specialized experiences and meaty hands,' who should be the agent and who should be the executive?

Tone

satirical