The Labs Disagree — What To Do When the People Building AI Don't Agree About What AI Will Do

On Tuesday, in Sydney, Sam Altman — the CEO of OpenAI — publicly walked back the white-collar jobs apocalypse he had warned about. Quote: "I'm delighted to be wrong about this." Forty-eight hours after our Tuesday episode argued the opposite, the CEO of the most valuable AI lab in the world said the thesis is wrong. Or at least premature. The story is not Altman versus Suleyman. The deeper story — what does a CEO do when the people building this technology no longer agree about what it is going to do? And while that disagreement is playing out, two other things happened this week that no one in your executive team is going to brief you on. DeepSeek, the leading Chinese AI lab, made a 75% V4-Pro price cut permanent — locking in margin pressure on OpenAI, Anthropic, and Google. And Microsoft just blocked Databricks from connecting to Power BI — the latest "toll gate" being erected by platform owners (Workday, ServiceNow, HubSpot are doing the same) to control which AI agents can act on your data. Stephen Forte argues: the AI market just stratified along three axes. Labor — no consensus. Cost — collapsing. Distribution — locking up. A CEO needs a position on all three. Three things to do this week: Write a one-page scenario for what your company looks like under both Altman's and Suleyman's labor timelines. Hand it to your board. Pull your two largest AI vendor renewals into a single review. If the per-token cost assumption dates from 2025, send it back. Ask your CIO to map your semantic layer dependencies — where "revenue," "customer," and "order" actually get defined. That's where your AI agent strategy lives. The most useful thing the people building this technology have done all year is tell you, by disagreeing publicly, that you are allowed to disagree too. The AI Brief is produced for YPO Technology Network members. New episodes every weekday at 6 AM ET.