Key Takeaways
- • AI is accelerating value creation timelines: 66% of private equity firms now report AI-related benefits within 12 months, more than double the 34% figure from 2025, reflecting a shift from experimentation to focused execution on core value drivers.
- • M&A emerges as the leading value generator despite longer execution cycles: While M&A takes longer to deliver results than operational improvements, it has become the top value creation lever for private equity firms, rewarding those with strong integration and execution capabilities.
- • Overall PE value creation is accelerating significantly: 63% of respondents achieved measurable impact within 12 months in 2026, up from 41% in 2025, driven by earlier execution during diligence and increased use of standardized playbooks and technology.
- • Implementation gaps remain widespread: Only 31% of firms report efficient or mostly efficient AI implementation, with the majority experiencing mixed or difficult outcomes, indicating that adoption outpaces operational maturity.
- • AI effectiveness requires integration with core business initiatives: According to FTI Consulting's Global Co-Leader of Transactions Scott Bingham, AI delivers fastest results when embedded into operational and commercial initiatives rather than treated as a standalone tool.
Summary
AI is driving measurable improvements in speed-to-value, with 66% of firms reporting AI-related benefits within 12 months, more than doubling from 34% in 2025. This dramatic improvement reflects a fundamental industry shift away from experimental AI pilots toward narrowly focused, execution-oriented applications tied directly to established value creation levers. Rather than pursuing broad, speculative AI initiatives, leading firms are concentrating deployment on high-impact operational and commercial use cases.
However, the survey reveals a critical execution gap that tempers enthusiasm about AI's transformative potential. Only 31% of responding firms report efficient or mostly efficient AI implementation, while the majority characterize their results as mixed or difficult. This disparity suggests that while the industry recognizes AI's potential to compress timelines and enhance decision-making, translating that potential into consistent operational value remains challenging for most organizations.
Notably, mergers and acquisitions have re-emerged as the industry's top value creation driver, despite the fact that M&A integration historically takes longer to yield results compared to operational improvements or margin expansion. Scott Bingham, Global Co-Leader of Transactions at FTI Consulting, emphasized that this shift requires firms to treat integration and execution as core capabilities rather than ancillary functions. He noted that "AI is delivering faster outcomes, but it's most effective when embedded into core operational and commercial initiatives," underscoring that success depends on strategic deployment rather than technology adoption alone.
The convergence of accelerated timelines, AI-driven efficiency, and M&A's elevated importance suggests a fundamental restructuring of private equity value creation strategy. Firms that combine disciplined AI implementation with M&A execution excellence are positioned to outperform peers, while those struggling with implementation gaps face competitive disadvantage in an increasingly velocity-driven market.
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