The numbers are staggering if you know where to look. Eighty-four percent of PE firms have now appointed a Chief AI or Data Officer. Chief AI Officer appointments across thirty-five thousand US companies jumped seventy percent year over year. Two-thirds of private equity firms expect to allocate twenty-five percent or more of their annual investment budget to AI initiatives by the end of 2026. Ninety-five percent of PE funds report that their existing AI programs are meeting or even exceeding the expectations they had when they launched them.
These statistics tell a simple story: artificial intelligence stopped being a question about whether to invest and started being a question about how fast you could move.
Waud Capital Partners’ February 2026 appointment of Prithvi Raj as Chief AI and Data Officer doesn’t announce anything surprising. A mid-market PE firm with roughly 3.2 billion dollars in committed capital finally got serious about data and artificial intelligence. What’s interesting is not that Waud Capital did it. It’s what the firm’s specific choice-who they hired and how they structured the role-reveals about what the winners in this cycle will look like.
The Hiring Acceleration as a Market Signal
The jump in Chief AI Officer appointments tells you something essential happened between 2024 and 2026. AI stopped being a strategic luxury. It became a competitive necessity. When eighty-four percent of an industry segment has done something, you’re not dealing with early adopters anymore. You’re dealing with everyone.
Hiring in the AI and data space within PE has accelerated even faster-38 percent year over year growth. The people running PE firms looked at the numbers-95 percent of funds reporting that AI initiatives are working-and made a decision. A senior AI hire isn’t optional. The role needs to reshape how the firm sources deals, evaluates targets, operates portfolios, and exits them. The person needs to be credible enough to speak the language of investment partners and be in the room where it matters.
Reeve Waud’s hire of Prithvi Raj signals exactly that. The firm brought in someone with CEO experience at SquareFoot and leadership of data and AI work at Newmark. That’s a much higher bar than hiring a data scientist.
The Budget Allocation Forecast
Two-thirds of PE firms now expect to invest at least twenty-five percent of their portfolio company budgets in AI by the end of 2026. That’s remarkable. It suggests PE leadership isn’t thinking of AI as an interesting add-on. It’s thinking of it as a core operational layer. The company runs on legacy systems? We’ll spend money replacing them with AI-augmented versions. The company lacks predictive analytics about customer behavior? We’ll build that. The company’s supply chain still uses spreadsheets? We’re upgrading it.
This forecast matters because it’s not going back. No PE firm is going to say next year: we decided AI was overrated, so we’re cutting the budget. That’s not how institutional capital allocation works. Once a threshold of firms has committed serious money, the others have to follow or get left behind. Reeve Waud’s decision to create a Chief AI and Data Officer role and staff it with someone of Prithvi Raj’s caliber reflects confidence that those budget lines will keep growing.
The healthcare AI sector raised 10.5 billion dollars across 511 deals in 2024. Reeve Waud invests in healthcare among other verticals. That 10.5 billion in healthcare AI funding isn’t speculation. It’s capital flowing toward actual companies with actual revenue and actual problems. That momentum accelerates the timeline on which Reeve Waud needs its AI infrastructure in place.
What It Means for the Competitive Picture
Prithvi Raj’s role at Waud Capital isn’t to announce seriousness about AI; PE firms were already serious. The role is to translate that seriousness into decision-making advantages. Better deal selection. Faster due diligence. Smarter portfolio company management. Earlier intervention when problems emerge.
The firms that will lead the next phase of PE will be those where the Chief AI and Data Officer works alongside investment, operations, and management teams. That’s the positioning Reeve Waud chose. The firms that embedded AI operationally, at scale, with executive authority are the ones creating separation. That’s how you stay competitive.
