Every Fortune 500 company will have an AI Governance team by 2028.

Most don't have one yet. The hiring wave is coming.

An AI Governance team manages: which AI systems the company deploys, how they're tested, what risks they carry, who's accountable when they fail, and how they comply with regulations.

It's the AI equivalent of what compliance teams do for financial regulations — except the regulation is newer and the technology changes faster.

Roles in AI Governance: AI Governance Lead ($180K-$300K). AI Risk Manager ($140K-$250K). Technical AI Auditor ($130K-$220K). AI Policy Analyst ($100K-$180K). AI Documentation Specialist ($90K-$150K).

The skill set: understanding of ML systems and their failure modes. Knowledge of relevant regulations (EU AI Act, sector-specific rules). Risk assessment frameworks. Technical writing ability. Stakeholder management.

Why this is a career opportunity: regulation is only going in one direction — more, not less. Every company deploying AI needs governance. The supply of qualified governance professionals is a fraction of the demand.

Entry paths: ML engineers who learn governance and risk management. Compliance professionals who learn AI fundamentals. Lawyers who develop technical AI literacy.

The person who can walk into a boardroom and say "here's what our AI systems do, here are the risks, here's how we manage them, and here's how we comply with regulations" — that person has a career that's recession-proof, automation-proof, and extremely well-compensated.