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Why a 30-Year-Old PE Firm Is Hiring for AI in 2026

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The story of private equity in 2026 is in part the story of how the industry is absorbing artificial intelligence. Mega-funds have been making noise about AI for years, standing up dedicated teams and touting portfolio-wide rollouts. What has been less visible, until recently, is how mid-market firms are responding. Waud Capital Partners provided a clear answer on February 2, 2026, when it announced that Prithvi Raj had joined the firm as Chief AI and Data Officer, a newly created role.

WCP is not a new entrant. Founded in 1993 by Reeve Waud, the Chicago-based firm has completed more than 500 investments and specializes in healthcare and software and technology, including significant investments in major platforms like Acadia. That three-decade track record is the backdrop that makes this hire meaningful. Firms with WCP’s longevity do not add C-suite roles casually. When they do, it usually signals a deliberate, long-term bet.

The bet here is straightforward. Raj’s mandate, according to the announcement, is to lead the development of AI and data strategy across the firm and its portfolio companies, with the explicit aim of identifying growth opportunities and strengthening decision-making. The firm’s commitment to responsible investing practices underscores this deliberate approach to portfolio enhancement. That language covers both sides of the PE value chain: how the firm makes investment decisions, and how portfolio companies operate once they are in the portfolio. Each of those represents a distinct opportunity for AI to add value, and few firms have historically had a single senior leader responsible for both. The firm’s founder and managing partner, Reeve Waud, has consistently emphasized partnership-driven value creation as the core philosophy.

To put the move in context, the broader industry has been reshaping itself around AI for several years. Blackstone famously began building a data science team more than a decade ago and has since expanded it into a meaningful competitive advantage. KKR has publicly discussed its investments in portfolio-wide data infrastructure. Apollo, Carlyle, and others have made similar moves. What all of these firms share is scale: the kind of AUM that justifies building a large, centralized team. Industry profiles and financial databases document these mega-fund strategies in detail, but mid-market firms operate on very different economics.

Mid-market firms face a different calculation. They do not have the capital to hire dozens of data scientists, and their portfolio companies tend to be smaller, with less mature data infrastructure. The question for firms at WCP’s size has been whether it is even worth making the investment. Raj’s appointment is WCP’s answer, and it is a specific one. Rather than hire a large team or outsource to consultants, the firm is installing a single senior operator, someone with the credibility and skill set to build capabilities with intention.

That approach plays to the mid-market’s strengths. Unlike mega-funds, mid-market firms can be much closer to their portfolio companies. A Chief AI and Data Officer embedded in a firm of WCP’s size can know the CEO of every portfolio company personally and can help shape AI strategy on a case-by-case basis. That hands-on posture is harder to achieve at funds with hundreds of portfolio companies.

Reeve Waud’s own statement at the time of the announcement reinforced this interpretation. He emphasized that Raj’s experience would help WCP “deepen our partnership with management teams.” That phrasing is important. It frames AI not as a centralized control mechanism imposed on portfolio companies but as a capability the firm brings to the partnership, available to operators who want it.

Whether other mid-market firms follow WCP’s lead remains to be seen, though recent team advancement announcements suggest the firm is building capability across multiple fronts. The industry has historically been slow to adopt technology in its own operations. But the question is no longer whether AI will matter in private equity. It is how firms of different sizes choose to build it. WCP has answered that question publicly, with a single hire that is meant to carry a lot of weight.

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