OpenAI just ran an event called Intelligence at Work, and the releases say a lot about where the world of work is going. Here is what dropped and why it matters for anyone leading AI adoption.
In this episode:
Why the bottleneck has shifted from model intelligence to a company's ability to absorb the tech
The stat to sit with: 74% of AI's economic value is captured by 20% of companies
Codex moving into ChatGPT, and what that means if you are on ChatGPT Enterprise
Six role-specific agent plugins, including a data analytics agent that writes queries, builds charts, and produces a deck
Annotations: editing one piece of an output instead of regenerating the whole thing, and whether it solves the "last mile" problem
Sites: turning Codex outputs into shareable, live dashboards and internal apps (Lovable meets Artifacts)
Why OpenAI keeps framing adoption as a human transformation, not an IT project
Sam Altman on the next phase: proactive agents that fix things in the background before you ask
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