Last updated: June 2026
Key takeaways
- AI can raise the multiple where it structurally lowers cost-to-serve or makes growth less dependent on headcount.
- It can also put a valuation at risk if the story is not credible to a buyer underwriting it.
- Buyers price durable, transferable economics, not AI adopted for the press release.
- Position AI around the levers a buyer underwrites: margin, scalability, and a credible growth narrative.
The real question
Owners ask whether AI will raise or lower the value of their company. The honest answer is that it does both, to different businesses, and sometimes to the same one. What matters to a buyer is not whether you mention AI, but whether AI makes your earnings more durable or less.
Two opposite effects
On the upside, a company that uses AI to lower its cost to serve, lift margins, or build a product moat looks more valuable and more defensible. On the downside, a company whose revenue is exposed to being automated away, by a buyer, a competitor, or a model, carries new risk that buyers will price in. Same technology, opposite effect on the multiple.
Does it raise or lower your multiple?
- It tends to raise it when AI improves your margins, deepens a data or workflow moat, or makes the business scale without adding cost.
- It tends to lower it when your core service is the kind of work AI is starting to do, or when a buyer thinks they can deliver your output more cheaply themselves.
The driver, as always, is the durability of the earnings. AI simply changes how durable they are.
What buyers actually assess
Sophisticated buyers look past the narrative. They ask whether your margins are improving, whether your revenue is exposed, whether you have proprietary data or workflow that a model cannot easily replicate, and whether your team can operate the business through the change. Claims without evidence get discounted.
How to position your company
The strongest position is operating fluency: a company that visibly runs AI-leveraged itself, with better margins and a clear view of its own exposure, told honestly. That is more credible, and more valuable, than a bolt-on AI story. Where there is genuine risk, addressing it before market protects the price.
Our view
We run AI-leveraged ourselves, which is how we read its effect on a valuation from the inside rather than the outside. We are not an AI platform, and we do not sell hype. We help owners present the AI story buyers will actually pay for, and fix the exposure that would otherwise cost them. See AI transformation and value creation.