Agentic AI: The Scarcest Skill on the 2026 AI Market

Autonomous AI agents — built on frameworks like LangGraph or AutoGen, and able to execute complex tasks with minimal human supervision — are becoming an enterprise standard, with a third of enterprise applications projected to embed them by 2028.

The challenge isn’t appetite for the technology, it’s the shortage of people who can build it: MLOps and generative AI roles remain among the hardest to fill worldwide, Europe and Asia-Pacific included.

For organisations planning ahead today, the challenge is no longer purely technical — it is also becoming a matter of AI governance and ethics, a role that barely existed two years ago.