Whilst headlines tout billion-dollar packages for AI researchers, most enterprises chase the wrong solution—scarce AI-native talent instead of empowering existing workforces. Enterprise AI success comes from upskilling existing workforces to become AI-literate, not chasing scarce specialists in a winner-takes-all talent market.
Whilst headlines tout billion-dollar packages for AI researchers, most enterprises chase the wrong solution—scarce AI-native talent instead of empowering existing workforces. Enterprise AI success comes from upskilling existing workforces to become AI-literate, not chasing scarce specialists in a winner-takes-all talent market.
As enterprises race to deploy AI agents in 2026, most will fail—not due to model limitations, but because their data infrastructure cannot keep pace. Here's the audit checklist every CTO and data leader needs.
