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Artificial intelligence is joining executive teams. Nobody has thought about who decides whether it is any good.
There is a peculiar ritual in corporate life that has survived every technological disruption of the past century: the job interview. Boards have applied it to CEOs. CHROs have applied it to their own replacements. Even the most data-saturated organisations, the ones with sixteen-stage hiring funnels and psychometric batteries, still believe that at some point a human must sit across from another human and decide whether they belong.
That ritual is about to meet its most interesting edge case yet.
By the end of 2026, the majority of enterprise talent leaders expect to have autonomous AI agents operating as functional members of their teams. Not software. Not tools. Team members, with permissions, responsibilities, and access controls. Digital colleagues, in the language of the executives deploying them. The question nobody is asking, and which will shortly become urgent, is this: who interviews the AI agent? And when it underperforms, who fires it?
This is not a philosophical diversion. It is the most consequential leadership question of the current moment, and it sits squarely in the lap of the technical executives that search firms are being asked to place.
I.A Talent Market That Has Already Shifted
Consider what has already happened to the talent market around artificial intelligence. Job postings requiring generative AI skills surged eighteenfold in a matter of months. Singapore, building what amounts to a sovereign capability in machine learning, cloud infrastructure, and quantum computing, has shifted its hiring strategy from headcount expansion to what might be called capability formation, accumulating specialists the way other nations accumulate reserves. The Netherlands, for its part, deploys flat hierarchies and geographic mobility as retention instruments in a market where senior engineers routinely hold multiple offers simultaneously.
Both countries face the same underlying shortage: leaders who understand not merely what AI can do but also how to govern it within an organisation. That is a different skill set from prompt engineering. It requires the political intelligence to manage a matrix in which some colleagues are human, and some are not, the operational instincts to know when the agent is hallucinating and when the human is, and the strategic clarity to explain to a board why a decision made by software deserves accountability of the kind usually assigned to people.
II.The Profile That Does Not Fit the Form
This profile does not appear on most job descriptions. It does not scan well through automated screening systems, which are themselves now largely operated by AI, a recursive irony that should give pause to anyone convinced that technology solves the problems technology creates. The firms that placed their faith in algorithmic candidate assessment are discovering what the evidence has long been saying: the tools optimise for measurability, not merit. They surface the candidates who have learned to perform for machines. They miss the ones who know how to lead them.
III.The Orchestrator
Thirty years of placements across APAC and EMEA teach a durable lesson about this kind of moment. Every time the market produces a role that cannot be cleanly defined, demand concentrates among the very few firms capable of defining it for the client. The Orchestrator, the technical executive who can run a mixed human-AI organisation with the same fluency a good conductor applies to an orchestra, is the scarcest executive profile of 2026. The gap between organisations that correctly identify this profile and those that approximate it with a well-credentialed generalist will widen with each quarterly cycle.
IV.What Survives, and What Does Not
The interview will survive. Human judgment in executive hiring, applied with the right methodology and the right questions, remains the only reliable instrument for finding people who can navigate genuine ambiguity rather than merely perform confidently in its presence.
What will not survive is the assumption that the org chart still contains only humans.
Someone has to be accountable for the new colleagues. That someone needs to be found first.