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.

The AI agent ecosystem has matured into 10 proven categories, each with market leaders driving real-world impact across coding, BI, science, design, marketing, and more.

Minimum democratic baseline: shared rules we accept, enabling disagreement as a strength. Voice concerns patiently, avoid labels, trust auditable processes and accountable leaders.