Notes from my recent study of competitive strategy, and the question it raised for me: does AI governance begin too late?

What began as a search for a definition of intelligence became something else entirely. Before I could answer the question, I had to ask what kind of question I was really asking. This is the beginning of a reflective research practice that returns to intelligence through policy, language, computation and embodiment.

After months of scattered AI tools making grand educational promises, we finally have enough mature platforms from the major players to conduct meaningful comparative analysis. OpenAI, Google, and Anthropic have each launched distinct educational offerings, each making compelling claims about their pedagogical approach.

The timing raises an interesting question: have these tools reached maturity at the perfect moment, or are we hitting the market just as educators experience AI fatigue?

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