Joe Hudson, executive coach to Sam Altman and leadership teams at Apple, Google, and X, now spends most of his time inside OpenAI coaching its research team. His conclusion: the skills that made people successful in the last decade of tech are being commoditized exactly as physical labor was commoditized by industrial machines a century ago. Senior VPs at Fortune 500 companies and researchers at frontier AI labs are reporting the same fear. Hudson says the fear is not unfounded.
What Hudson observed at OpenAI is the core of this piece. The researchers thriving in AI-forward environments are not winning on technical output or speed. They are winning on something harder to name and harder to train: the capacity to tolerate uncertainty, stay curious under pressure, and direct AI systems with genuine judgment rather than anxious productivity. Hudson calls this the inner game. The original piece walks through exactly what that means in practice, with specific patterns he sees separating people who are accelerating from people who are stalling.
The full article is worth reading because Hudson does not stop at diagnosis. He gives a concrete framework for auditing your own psychology against the demands of this environment, drawn directly from what he watches work and fail inside the most consequential AI lab on the planet right now. If you think the answer to AI disruption is learning another tool, this piece will correct that assumption quickly.
[READ ORIGINAL →]