AI Adoption Can Cut Your Exit Valuation, Not Boost It

Quick Facts

• AI-native companies with proprietary models command 40-80% valuation premiums, but thin API wrappers face discounts of 15-30% during M&A due diligence.
• For every $13 invested in AI startups in 2025, only $1 came out in exits, a 92% gap between funding and returns.
• Public SaaS companies are now reporting 60-70% gross margins as AI inference costs erode the traditional 70-80% baseline.

Boards and founders have treated AI adoption as a near-automatic valuation booster. A new analysis from M&A adviser Itay Sagie, published August 5 on Crunchbase News, argues the opposite can be true. Poorly structured AI strategies can reduce differentiation, compress margins, and make a company harder to acquire.

The stakes are large. Venture capitalists poured $104.3 billion into AI companies in the first half of 2025 alone, nearly matching all of 2024. Yet only $36 billion came back out in exits across the full year. PitchBook recorded a record 317 AI exits in 2025, with 85% of VC-backed exits happening through acquisitions, most at lower valuations than investors anticipated.

Three Ways AI Can Damage Exit Value

Sagie identifies architectural complexity as the first problem. Startups adding AI copilots, orchestration layers, prompt libraries, and vector databases can accelerate shipping, but acquirers see a tangled system during due diligence. One in five strategic buyers has walked away from a deal because of AI risk concerns.

Gross margin compression is the second issue. Traditional SaaS operated on a build-once, sell-infinitely model that produced 70-80% gross margins. AI breaks that model. Every query runs the model again, and every run carries variable compute costs. Across Q4 2025 and Q1 2026 earnings, public SaaS companies with AI-core features now report 60-70% gross margins as a structural reality, not a temporary dip.

The third risk is commoditization. A product built as a thin wrapper over a public API from OpenAI, Anthropic, or Google carries high model dependency. The provider can reprice the API or ship a competing feature at any time. Buyers interrogate this directly. They want to know whether the AI integration has measurable commercial impact or is just a marketing label.

The Valuation Gap Is Real but Narrow

The premium for genuine AI capability exists. Companies with proprietary models, fine-tuned weights, or differentiated retrieval architectures command 40-80% valuation premiums over comparable traditional SaaS, according to current M&A data. Companies without those advantages face discounts of 15-30% when unaddressed regulatory, privacy, and technical risks surface in diligence.

Kyle Stanford, PitchBook’s director of U.S. venture research, described AI as “the foundation of VC” and noted it is being integrated into every part of the economy. But the market data shows that broad enthusiasm has not translated into broad returns. Forty percent of VC exit deal value in 2025 traces to AI, including CoreWeave’s IPO, yet the funding-to-exit ratio remains the largest disconnect in venture capital history.

Eighty percent of buyers now cite AI-driven commoditization as the top risk when evaluating acquisition targets, according to Livmo Market Research.

What Acquirers Actually Want to See

Buyers conducting diligence on AI-forward companies are asking three direct questions. First, does the AI threaten to replace what the product does? Second, does the company hold proprietary data advantages? Third, does the AI integration show measurable commercial impact?

A superficial AI label will not survive that scrutiny. Sagie’s core argument is that AI strategy requires the same careful balancing act as pricing, go-to-market planning, or customer service design. Speed and defensibility must coexist. Short-term productivity gains must not come at the cost of long-term strategic value.

For founders planning an exit in the next two to four years, the message is direct: how AI is embedded into value delivery matters more than whether AI appears in the product deck.

Read more: Your AI Strategy May Be Destroying Your Exit Value