
Waiting for better tools is deferred learning
The more experienced the AI user, the more iteration and the less delegation. The data is consistent with use being practised. Then waiting for better tools is deferred learning.
AI is changing what is worth knowing
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Most of the EU AI Act that was due to apply on 2 August was moved to 2027. The requirement that staff be AI literate stayed, but was rewritten from ensuring a level to supporting the development of one.

Fable 5 took 6 percent of the tokens companies bought from Anthropic. Anthropic's own cheaper Opus 5 passed it within a month. The spending never left Anthropic. It moved further down the company's own catalogue.

Anthropic has launched Claude Tag, moving the AI assistant into Slack as a shared actor anyone in a channel can tag and delegate tasks to. The real shift is not the platform but the way of working, from asking a tool to delegating to a colleague with memory, permissions and traceable assignments. For Swedish organisations the question is what happens when an AI gets access to the place where work is already coordinated, which makes permission design the control point.

Anthropic's usage data shows that experienced AI users iterate more and delegate less, and that the advantage holds when the task is held constant. That is consistent with AI use being something you practise, and if so, waiting for better tools is deferred learning.

AI makes small teams enormously productive, but only if everyone can build. The old model of pure specialists is falling apart fast.

The best model is not the strongest one. It is the weakest one that does the job without making a mess.