A CFO at a Frankfurt-based industrial company told us last month that his board wanted an ‘agentic AI roadmap’ after reading about a competitor’s press release. He had no internal sponsor, no defined use case, and no data infrastructure to support what the board was imagining. He wanted us to find a head of AI anyway, because waiting felt like falling behind.
We declined the search. The role would have been impossible to fill well, and whoever took it would have been set up to fail. That conversation has repeated itself, with variations, across multiple client calls this quarter.
Announcement pressure and operational readiness are often misaligned. Companies feel compelled to match a peer’s hiring velocity or product claim without checking whether their own foundations can support the weight. Data pipelines are incomplete. Governance frameworks are absent. The business sponsor who should own the outcome is unclear or missing entirely.
Candidates notice. The strongest AI and data professionals we speak to have started asking pointed questions early: who is the executive sponsor, what data assets exist, what happened to the last person in this seat. They are stress-testing whether the role is real before discussing title or package.
The organisations building lasting AI teams are moving more slowly on headlines and faster on fundamentals. They are filling data engineering gaps before adding a head of AI. They are defining one use case tightly rather than announcing five. They are naming a business owner who will be accountable when the model goes live.
Speed matters, but sequence matters more. The talent market rewards companies that can show candidates a credible path from hire to impact. A well-scoped role with a clear sponsor will attract stronger applicants than a vague mandate attached to a press release.
Prompted by reporting from Diginomica.