For decades, valuation multiples have been driven by familiar levers: sustainable growth, margin expansion, recurring revenue, defensibility, and risk reduction. Today, however, a new factor is emerging at the center of investor conversations, artificial intelligence.

Far from hype, leading research now shows that AI is already reshaping productivity, profitability, and investor sentiment. The firms that can prove AI impact in their P&L are beginning to earn premium valuations.

1. AI Is Already Contributing to Earnings

McKinsey’s 2024 global survey found that the leaders who are furthest along in adopting generative AI are seeing measurable contributions:

“Leaders… attribute more than 10 percent of their organizations’ EBIT to their use of gen AI.” — McKinsey, 2024

This is not speculative. When EBIT is rising due to technology adoption, investors have a reason to assign higher multiples.

2. Productivity Gains Are Quantified

Goldman Sachs Research analyzed early adoption and found hard productivity improvements:

“The average increase in productivity is about 25%.” — Goldman Sachs Research, 2024

Such productivity gains compound into faster growth and improved margins, both key inputs in valuation modeling.

3. The Market Is Rewarding AI Exposure

Research from the National Bureau of Economic Research (NBER) shows that equity markets have already priced in AI exposure:

“Higher-exposure firms earned excess returns… 0.4% higher on a daily basis. Eisfeldt, Schubert & Zhang, NBER, 2023

This is a leading indicator: multiples are expanding where investors perceive credible AI upside.

4. Private Equity Is Raising the Bar

Bain & Company reports that top PE firms expect AI-enabled companies to deliver beyond the traditional “Rule of 40”:

“Vista believes the new standard for revenue growth plus margin will reach 50% or even 60%.” — Bain & Company, 2025

That shift effectively redefines what “high-quality growth” means and companies that don’t embed AI risk falling behind on benchmarks that drive valuations.

5. AI Leaders Are More Profitable

Accenture’s Reinvention Index shows a profitability gap between AI-enabled leaders and laggards:

“Their average profit margin (EBITDA/revenue)… was 5.6 percentage points higher than the rest.” — Accenture, 2024

Margin expansion directly fuels higher EBITDA multiples in both public markets and private equity deals.

6. Analysts Forecast Margin Tailwinds

Sell-side analysts are also recognizing AI’s valuation impact. Morgan Stanley estimated the following contribution:

“AI-driven productivity could add 30 basis points to 2025 net margins for members of the S&P 500.” — Morgan Stanley, 2025

When analysts begin building AI into forward multiples, it signals institutional consensus that AI is accretive to enterprise value.

7. CEOs Expect Profitability Boosts

Finally, PwC’s 28th Global CEO Survey confirms that leadership sentiment aligns with investor expectations:

“About half of CEOs (49%) expect GenAI to increase profitability over the next 12 months.” — PwC, 2025

This CEO optimism translates into investor narratives, analyst coverage, and ultimately, multiples.

The Bottom Line

AI is no longer a “future bet”, it is a current driver of valuation multiples. The reasons are clear:

  • Growth: Faster product cycles, personalization, and cross-sell.

  • Margins: Efficiency gains across SG&A, coding, and operations.

  • Moats: Proprietary data flywheels and workflow lock-in.

  • Market Sentiment: Investor re-ratings for firms with credible AI strategies.

Firms that can measure and communicate AI’s impact on growth and margins will be positioned to secure premium multiples in both capital markets and exit transactions. Those that cannot may see themselves discounted in a new competitive standard. All of these factors will flow downstream to mid-market and eventually small businesses. If you are a baby boomer resistant to one last change, you are going to sell at a deep discount or you will shut your door and turn the lights off.