Private Firms Double Down on AI to Drive Returns and Efficiency Gains, Report Finds

Why It Matters

The shift signals that AI is becoming a core profit engine in the private sector, offering investors clearer pathways to margin expansion and scalable growth, especially in larger enterprises.

Key Takeaways

• 71% prioritize revenue growth; AI seen as growth driver
• 64% of firms with $500M+ revenue report AI ROI, vs 11% smaller
• 63% reallocate internal budgets to AI, reducing external financing reliance
• Data quality cited by 72% as top barrier to AI returns
• Boards oversee tech, cybersecurity, data governance, but only 25% focus ethics

Pulse Analysis

The momentum behind artificial intelligence in privately held companies has moved from experimentation to execution, according to Deloitte’s latest private‑market survey. Over 70% of executives now list revenue growth as a primary objective, and more than half rank expanding AI use among their top three priorities—a sharp rise from the previous year. Investment is no longer confined to isolated pilots; 63% of respondents say they are actively rolling out digital transformation initiatives that include AI. This broader commitment reflects a belief that intelligent automation can directly lift top‑line sales and operational productivity.

Scale emerges as the decisive factor in capturing AI value. Companies generating at least $500 million in annual revenue report moderate to significant returns on AI projects at a rate of 64%, while only 11% of smaller firms see comparable outcomes. Larger organizations are also further along in deployment, with 74% scaling AI across select functions versus 38% among their smaller peers. For private‑equity investors, these gaps signal where capital can be allocated for the greatest upside, as mature firms translate AI capabilities into faster decision‑making, higher margins, and defensible market positions.

Despite the optimism, execution hurdles remain. Data quality concerns top the list, cited by 72% of leaders, followed by talent shortages and legacy‑system integration challenges. Notably, 63% of firms are repurposing internal budgets and 43% tapping existing operating capital to fund AI, reducing reliance on external debt and limiting balance‑sheet strain. Board involvement is growing, with 70% overseeing technology investments, yet ethical oversight lags at just 25%. As governance catches up, firms that can marry agile execution with disciplined funding are poised to turn AI from a buzzword into a sustainable profit driver.