(3 minute read)
The AI market is entering a more commercial phase. This is no longer just a race to build the most powerful model. Increasingly, it is a race to secure distribution.
That is why private equity has become such an important target.
Recent reporting suggests OpenAI is offering private equity firms a guaranteed minimum return of 17.5% to back a new enterprise-focused joint venture, alongside early access to unreleased models and favourable commercial terms. Anthropic is reportedly pursuing a similar PE-led structure, but without the same financial guarantee. The details may differ, but the direction of travel is clear: leading AI firms want faster, broader access to enterprise customers, and private equity offers exactly that.
As Max Yish, who leads the Technology Leadership practice at Finatal, puts it: “The real AI race now is distribution, not just model performance.”
That shift matters because private equity offers a more efficient route into the enterprise market than traditional software sales. Rather than winning one company at a time through long procurement cycles, AI providers can access entire portfolios through a single sponsor relationship. For OpenAI and Anthropic, that means scale. For PE firms, it means earlier and more structured access to technology that could create an operational edge.
“Private equity is an incredibly efficient route into the enterprise market because it allows AI providers to scale across portfolios, not individual companies,” says Yish. “That is why these partnerships are strategically important – AI is increasingly being viewed as a value creation lever across PE-backed businesses, particularly in areas like finance, operations and commercial decision-making.”
That is the point private equity leaders will be focused on. This is not just about adopting new tools. It is about whether AI can help portfolio companies improve efficiency, strengthen decision-making and accelerate value creation. In finance, that may mean faster reporting and sharper forecasting. In operations, it could mean better planning and lower cost-to-serve. Commercially, it may support pricing, sales effectiveness and customer insight.
The broader implication is that AI is moving closer to the centre of the operating model. It is becoming less of a standalone innovation initiative and more of a capability businesses will be expected to deploy well. That, in turn, is changing the talent conversation.
“From a search perspective, the conversation at board level has clearly shifted over the last 12–18 months,” says Yish. “Investors are no longer just asking for technology leadership in the traditional sense – they are looking for leaders who can use AI, data and automation to drive performance, improve margins and support the value creation plan.”
This is an important point for recruitment. Much of the wider public discussion still treats AI primarily as a threat to jobs. In practice, the picture is more nuanced. Some tasks will be automated, but the bigger shift is in the type of leadership and capability businesses now need. Demand is growing for executives who can connect AI to commercial outcomes, whether that sits in technology, data, transformation or functional leadership roles.
That is changing the profile of the people being hired across private equity portfolios. Businesses do not just need access to AI tools. They need leaders who can implement them effectively, manage change and turn technical capability into measurable results.
As Yish notes: “Access to AI is rapidly becoming widespread. The differentiator we are seeing is how effectively businesses implement it and, ultimately, the leadership capability they have in place to deliver that change.”
That may be the most important takeaway from the OpenAI-Anthropic push into private equity. The long-term advantage is unlikely to come from access alone. It will come from execution.
For PE firms, that makes AI both a technology issue and a talent issue. The firms that create the most value will not necessarily be those with the most visible partnerships. They will be the ones with the leadership teams capable of embedding AI in ways that improve performance across the portfolio.
AI is not removing the need for talent. It is redefining what valuable talent looks like.
This article was written by Ali Delaney, Senior Marketing Executive at Finatal.