Eighty-eight percent of executives plan to raise AI budgets over the next year specifically because of AI agents, and companies are creating a new executive seat to manage that spending before most of them can point to a return on the AI they have already bought.
A New Seat at the Table
PwC reports that 79% of companies have already adopted AI agents and that 88% of executives expect to increase AI budgets over the next twelve months for that reason specifically. The firm has laid out four priorities it expects a Chief AI Officer to own: mobilizing other executives around what AI changes in the business, building an AI strategy split between offense, new markets and products, and defense, protecting existing revenue from competitors who move faster, scaling AI deployment past isolated pilots, and managing the workforce changes that come with deploying AI agents across operations.
Companies across finance, retail, and manufacturing have filled the role over the past year, and most report the position directly to the chief executive rather than folding it into an existing CIO or CTO seat.
A Role Arriving Ahead of the Evidence
The timing is worth examining closely. PwC’s own 2026 Global CEO Survey, a separate study from the same firm, found that just 12% of CEOs report AI has delivered both cost and revenue benefits, while 56% report no measurable financial return at all. The organizational buildout around AI, new titles, new reporting lines, new governance committees, is arriving well ahead of the financial proof that would normally justify it.
The sequencing is not unusual for an emerging technology. Companies built dedicated digital transformation offices in the 2010s before most of them could show a clear return on cloud migration either, and the structure eventually caught up with the spending. What differs with the Chief AI Officer role specifically is the range of responsibility PwC expects the position to hold: strategy, governance, workforce transformation, and competitive positioning, folded into one seat, at a moment when the underlying technology keeps changing every few months.
Built for Success, or Built to Take the Blame
My take: a role spanning strategy, governance, and workforce change all at once tends to develop in one of two directions once results come due. Either it becomes the central authority that closes the gap between AI spending and AI return, the way PwC’s four priorities imply it should, or it becomes the position boards point to when the gap has not closed, a single accountable name attached to a company-wide bet that has not yet paid off.
Which direction a given company ends up in will depend on something PwC’s own research already flags: whether the Chief AI Officer receives the authority, budget, and organizational backing the role requires, or whether the title arrives faster than the mandate behind it. A Chief AI Officer without the power to redesign workflows, retrain teams, and kill underperforming AI projects is not a strategy function. It is a scapegoat with a nameplate.
The next twelve months of PwC surveys, and of enterprise AI’s own performance numbers, will show which version of the role is winning inside most companies. Boards hiring for the position now should ask which one they are building before the org chart makes that decision for them.
