Across middle-market private equity, the AI thesis now sits in the body of the underwrite. The name of the executive accountable for delivering it rarely does. That makes ownership a hiring problem long before it becomes an org-chart one.
The investment memo has changed. Over the last 18 months the language has converged around AI-enabled growth, AI-driven margin expansion, and AI as a path to multiple expansion at exit. What the memo rarely specifies is who at the portfolio company is actually going to deliver any of it.
That gap is the ownership vacuum. It is the issue that surfaces most often across the middle market, and the one that is least well resolved. The thesis is in the model and the board deck has a slide, but ask a sponsor who owns the AI mandate end to end and the answer softens. It usually lands somewhere between the CEO, the CTO, the CFO, and a vendor no one has fully decided to claim.
This should concern anyone underwriting an AI thesis, because ownership ambiguity is not only an organizational-design problem to be tidied up later. It is also a hiring problem. If a sponsor cannot name the person accountable for AI, no executive profile can be written that hires for it, and every search that follows inherits the ambiguity the deal team never resolved.
Why AI ownership looks so different in the middle market than it does in large-cap
The question looks fundamentally different across the middle market than it does at $5 billion and above. In large-cap private equity it gets resolved at the platform level, where sponsors have dedicated value-creation teams, operating partners with technology backgrounds, and the budget within each company to stand up a chief data officer or head of AI as a standalone role. That infrastructure translates the thesis into accountability.
Middle-market portfolios have no such infrastructure, and the math on building it does not work the same way. Consider a $150 million company with an executive team of eight to twelve people. There is no head of AI to hire and no room to defer the question. The same executive who owns cybersecurity, digital transformation, and vendor evaluation now owns AI fluency too. That person is driving an agenda the deal team underwrote against a team that was not assembled for it, on a budget and timeline that assume no dedicated AI function.
As companies scale toward the upper middle market, the org chart fills out and the conversation sounds more sophisticated, but the vocabulary tends to scale faster than the accountability. The name attached to the outcome is often as soft at $700 million as it is at $150 million.
The ownership vacuum surfaces at three distinct moments across the hold
- At entry. Most 100-day plans treat AI as a technology workstream rather than an executive accountability. The work gets identified, but the owner does not. McKinsey’s State of AI survey found that only 28 percent of organizations report their CEO takes direct responsibility for AI governance, and that on average the responsibility is split across two leaders, which usually means it is held with conviction by neither. The diligence question worth asking before close is a simple one. Can the deal team name the person whose performance review at month 18 will depend on AI outcomes? Not the person who writes the slide or sits on the steering committee, but the person whose compensation and standing ride on the answer. When that takes more than a beat to answer, the work begins there.
- At scale. The executive who can stand up a baseline and make the first investment decisions is a different profile from the one who can operationalize and scale a function. Work that began as a side responsibility for the CFO or COO becomes a function of its own, and the executive gets stretched between the day job and the mandate that grew around it. The conversation about whether ownership should shift to a dedicated role belongs at month 18 to 24, but too often it waits until the board asks why the roadmap has stalled. Some sponsors now respond structurally by creating fund-level AI operating-partner roles allocated across the portfolio. It is an early but real signal that AI ownership is becoming a capability question, not only a portfolio-company one.
- At pre-exit. Bain’s 2026 report frames the new bar as “12 is the new 5,” meaning the EBITDA growth today’s deals require is more than double what the last decade demanded. Buyers price AI-enabled performance into entry multiples and scrutinize it on the way out. Across recent exit processes, the companies that handled the question well shared one trait. Someone on the management team could answer it in diligence without looking toward the CTO. That clarity often reads as more maturity than the underlying capability itself. The earliest cost of ambiguity tends to be human rather than financial, because senior leaders are already leaving companies whose executive teams they see as dismissive of AI. Attrition is the first signal, and by the time the financial one arrives, the talent question has usually answered itself.
Why the operating partner is the natural person to force the ownership question
The natural place to force the question is the operating partner, who sits between the sponsor and the management team and has the standing to push. The ones who do this well ask three questions early: who is accountable, what success looks like at 100 days, at 12 months, and at exit, and what would need to be true for that accountability to be real rather than nominal. The third question does most of the work, because it reveals whether the named executive actually has the team, budget, and authority to deliver.
What a search brief reveals that the deal memo left unanswered
When a sponsor commissions a CEO, CFO, COO, or CTO search at a company where AI is part of the thesis, ownership ambiguity is almost always the first issue to surface in brief development. Most of the time it resolves there. Occasionally it does not, and the search slows, the brief gets rewritten, or the role itself shifts to fit the clarity the sponsor finally reaches. That pattern, repeated across enough searches, is what makes this worth elevating into a perspective.
So the question worth holding, asked deliberately, is this. When a deal thesis assumes AI-enabled growth, who at the portfolio company signs their name to that outcome?
If the answer takes more than a beat, that is where the work begins. It is also the conversation we have with sponsors at Kingsley Gate before a search brief is written, while there is still time to build the mandate around a clearly accountable owner rather than discover the gap once the roadmap has already stalled.
References
McKinsey & Company, The State of AI: How Organizations Are Rewiring to Capture Value, March 2025. Survey of 1,993 respondents across 105 countries.
Bain & Company, Global Private Equity Report 2026, February 2026.
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