How AI affects business valuation, and what acquirers now ask sellers

How does AI change what a business is worth?

AI changes business valuation by changing what buyers believe about future cash flows, not by adding a new line to the formula. In 2026 that shows up as two sets of diligence questions: how exposed the company's revenue is to automation, and how ready the company is to use AI on its own records and processes.

For an M&A advisor, that means a seller can no longer leave AI to a single slide in the CIM. Buyers want evidence: which services clients could replace with software, where AI already cuts cost-to-serve, and whether the company's data is clean, connected and owned.

Private equity buyers have extra reason to push. McKinsey's Global Private Markets Report 2026 finds that multiple expansion and cheap leverage, which accounted for 59 percent of private equity returns between 2010 and 2022, have faded, so operational value creation is now likely the primary source of returns, and it notes that sponsors are applying AI to operating levers. A sponsor underwriting operational improvement will ask whether AI can deliver part of it, and whether AI could erode the revenue it is buying.

The exposure and readiness grid acquirers use

Most AI questions in a sale process fall under one of two lenses. Exposure asks what AI could take away; readiness asks what the company can do with AI that a buyer will pay for.

A seller that is strong on readiness can partly offset exposure, because the buyer sees a platform for its own AI plan rather than a target that AI might erode.

What acquirers now ask in diligence

AI questions now turn up across several workstreams, not only in IT diligence. The practical response is an AI evidence pack built before the data room opens.

• Commercial: revenue by service line, with a short note on which lines AI tools could substitute and why clients would still pay.
• Operational: the workflows where AI is already in use, with the before-and-after measures the company itself tracked.
• Systems: every business system, the years of history each holds, and who can export from it.
• Legal: customer contract clauses on data use, the current privacy notice and any statements made about AI or model training.
• People: the AI use policy, training given to staff and who owns AI decisions.
• Vendors: the AI tools in use, their data terms and whether client material is sent to them.

The selling a business checklist places a records and data-rights step inside wider sale preparation, and the three-year pre-sale runway shows when to start the evidence pack.

Why records of real work became an asset of their own

The same shift that worries sellers creates demand they rarely hear about. AI developers are moving from models that answer questions to agents that carry out multi-step tasks, and training or evaluating those agents needs records of how real work gets done: tickets and their resolutions, quotes won or lost, approvals with outcomes, engineering reviews. That material sits inside companies and is thin on the public web.

Researchers at Epoch AI project that, if current trends continue, language models will fully use the stock of public human-generated text sometime between 2026 and 2032, a forecast with wide uncertainty. Permissioned non-public data is one of the ways around that constraint. The US Copyright Office's report on generative AI training, released as a pre-publication version in May 2025, discusses how practical licensing approaches are for training material.

For a US business that reached 50+ full-time employees at peak (contractors excluded), has kept records for several years and spreads them across email, chat, CRM, finance, support and engineering systems, that can mean a one-time payment for an exclusive AI-training license for an agreed term. The company keeps ownership, and nothing binds it until it accepts a price and terms and signs.

What this means for an M&A advisor's mandates

Treat data licensing as a decision that sits beside the sale, never inside the valuation. It is most useful in four situations.

If a process is already live, speak to deal counsel before any license is discussed, because exclusivity and timing must fit the purchase agreement and any no-shop provision.

Limits: what licensing does not do to valuation

Be precise with sellers, because buyers will be.

• A data license is usually a one-time payment for an agreed dataset, so it should not be presented as recurring revenue or added to normalized EBITDA as if it will repeat.
• No one can promise that a license raises the sale price. Some buyers will read an organized records inventory as a sign of a well-run company; others will focus on exclusivity terms that run past closing.
• Privacy and contract promises still bind the company. FTC staff have stated that promises not to use customer data for undisclosed purposes, such as training models, are enforceable wherever they were made. A company licensing records has to check what its privacy notice and customer terms said.
• Records made up mainly of consumer personal data or protected health information, or records that belong to the company's clients, usually fall outside what can be licensed.

This is general information, not legal, tax or financial advice. Confirm with deal counsel and the client's tax adviser before acting.

How an advisor makes the introduction

You make the introduction and share basic fit information; you never export, upload or describe confidential records. SourceX then checks size, history, data breadth and rights with the company's authorized sponsor (owner, CEO, CFO or authorized representative), the company completes a data inventory, price and terms are agreed, and AI labs and data buyers review the opportunity. The company fit checker gives a preliminary, non-binding read first, and the who qualifies page sets out the full baseline.

Partners earn 25% of the eligible platform fees SourceX actually collects from the referred company's licensing deals, capped at $100,000 per referred company. The reward is paid only after the buyer pays and SourceX receives its fee; an introduction, meeting or signed agreement alone does not trigger payment, and no reward is guaranteed. It comes out of SourceX's fee, never out of the seller's proceeds. Advisors who work under a broker-dealer should clear any outside compensation with their compliance team first; the M&A advisor partner page covers the role in more depth.

Next step

Pick one client in sale preparation or a stalled process and run it through the exposure and readiness grid. If the records look deep, register as a partner and make the introduction, or have the owner apply at sourcex.si/apply with your referral link.