Is AI adoption now a bigger edge than the model itself?

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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

Links mentioned:

• OpenAI Intelligence at Work (the event) → https://openai.com/sv-SE/business/intelligence-at-work/