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How universities turn science into companies: a playbook of 16 mechanisms—IP to exits—backed by global examples, actions, and KPIs to scale deep tech where it’s invented.

AI agents now run continuous, autonomous experimentation—testing, adapting, and learning at scale—turning innovation into a permanent competitive engine.

Sixteen high-leverage policies make teaching attractive and sustainable—from benchmarked pay and career ladders to protected time, well-being, and fairer growth-focused evaluation.

AI talent augmentation compresses work loops, boosts capacity, and improves quality across 15 domains—delivering 10–15% savings with scalable, auditable copilots.