AI and value creation: Acceleration without replacement
Artificial intelligence has become one of the most visible forces shaping private equity strategy, though its near-term impact is largely pragmatic rather than transformational. Across the market, AI is being applied as an acceleration tool: improving diligence speed, sharpening deal screening, and supporting productivity. Firms are prioritizing targeted applications that remove friction from time-intensive processes, such as automating document review, standardizing analysis across opportunities, and improving pattern recognition earlier in the deal funnel. The emphasis so far is on speed and consistency, not wholesale change.
AI is also beginning to influence risk selection. Vikram Devanga, who focuses on transaction advisory and diligence for PE investors, has seen sponsors apply internal models trained on historical transaction data to assess how new opportunities align with prior successes and failures. Used effectively, these tools can strengthen screening discipline – though human oversight must be preserved in investment decisions. “You can start filtering opportunities against what’s worked and what hasn’t, without taking judgment out of the process,” Devanga said.
As these opportunities to harness AI take shape, adoption remains uneven, particularly in the middle market. Many portfolio companies are still working through foundational challenges related to data quality, governance, and practical use cases. “Everybody’s curious, but there are few best practices,” Morris said.
The firms that gain advantage in 2026 will be those that move beyond experimentation and embed AI into repeatable workflows that improve speed, sharpen judgment, and scale effectively across the investment lifecycle. In certain sectors, particularly professional services and other labor-intensive businesses, the opportunity lies less in immediate cost reduction and more in building operating models that compound benefits over time, often over a three- to five-year horizon.
The priority is implementing with intention: committing early enough to influence transformation, while maintaining clear-eyed realism in underwriting timelines, investment requirements, and organizational implications.