Key points
  • Most companies need implementation capacity before they need a C-level AI leader.
  • A Chief AI Officer makes sense when AI spans many business units, budgets and risks.
  • Hire senior AI leaders through a confidential, retained search.

The Chief AI Officer title has spread quickly. For some organisations it is the right move; for many it comes too early.

What a Chief AI Officer owns

  • The AI strategy and roadmap across the group.
  • The AI budget and portfolio of initiatives.
  • AI governance, risk and policy, with legal, compliance and IT.
  • Building and leading the AI team, including implementation and technical specialists.
  • Reporting progress and value to the board.

Signs you are ready

  • AI initiatives run in several business units and are competing for budget.
  • The board asks for an AI strategy and regular reporting.
  • You operate in a regulated sector where AI risk needs senior ownership.
  • You already have implementation people and need someone to lead them.

When an implementation lead is enough

If you are still choosing your first workflows, a senior title will not speed things up. One or two implementation people, reporting to the COO or CFO, will deliver more in the first year. The head of AI role can follow once there is a function to lead.

Hiring a senior AI leader

These people are rarely on the job market and often need discretion. A retained search gives you a dedicated researcher, systematic market mapping and a referenced shortlist. Assess candidates on business results delivered, not only on technical depth.

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