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One free scan finds every outdated or missing driver and matches the right update for your exact hardware.Free scan · exact hardware matchThere is no single “AI valuation” formula. In a slowdown, investors look more closely at a startup’s stage, operating evidence, growth, comparable companies and deals, cash runway, capital needs, and financing terms. A recent funding round may anchor the discussion, but it can become stale; a portfolio mark based on that round is not necessarily the price a new investor would pay today. AI demand can still support premium prices for selected companies, but sector averages are context—not a valuation for any one startup.
First, distinguish a financing price from a portfolio valuation
A financing price is negotiated between a company and investors in a particular transaction. A portfolio mark is a fund manager’s estimate of the value of an existing holding between transactions. They answer different questions and can diverge.
When fundraising is active, the latest private round is often used as a reference for a company’s mark. But private holdings are not repriced continuously, and Commonfund’s 2023 analysis describes quarterly marking practices. If a company has gone a long time without a new financing, the last-round price may be a less informative guide to what a new investor would offer now.
Even when managers value the same company, their marks can differ because methods, inputs, and assumptions differ. Commonfund reported significant variation across managers in its sample, whose average mark was 23% below last-round price. That is a finding about the studied venture-manager holding marks—not a universal discount, a new-round pricing rule, or an AI-specific benchmark.
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Methods used when there is no fresh financing round
Fund managers may use one method or combine several, depending on the company’s circumstances and the rights attached to its securities.
| Approach | How it works | What to keep in mind |
|---|---|---|
| Last financing round | Uses the most recent private financing price as the reference for the holding. | It is a transaction-specific anchor, not a continuously updated market quote. Its usefulness can decline as time passes or conditions change. |
| Public-company comparables | Applies valuation multiples from selected public companies to the startup’s operating measures. | The result depends on which companies and measures are considered comparable. A multiple cannot be interpreted without its metric, date, and comparison set. |
| Option pricing models | Uses statistical inputs—including the risk-free rate, volatility, and equity risk premium—to estimate equity value in a complex capital structure. | Can help account for securities with different rights; the resulting estimate depends on the model’s inputs and assumptions. |
PitchBook also describes a model that updates last-known valuations using public and private comparables and company-specific indicators such as employee growth and company age. That is the vendor’s description of its product, not independent validation that its estimates are correct. More generally, an estimated mark should not be confused with an observed price from a completed financing.
What investors examine in a new AI financing
For a new investment, investors are not valuing the label “AI” in isolation. They assess the company’s evidence and the terms of the proposed deal in the context of its stage and market.
Stage, growth, and operating evidence
Investors consider the company’s stage, revenue and growth, and how those measures compare with relevant companies or transactions. The comparison needs to be dated and specific: a recent deal at another stage, in another geography, or with a different business model may offer little guidance. No universal AI revenue multiple is established by the available market evidence.
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1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsCapital needs and runway
AI businesses can require substantial spending on talent, chips, and infrastructure. Investors therefore weigh how much capital the company needs, how long its cash will last, and whether the financing plan fits its growth expectations. A longer runway can affect how much a company seeks to raise and the structure it is willing to accept.
Financing terms and investor economics
A headline post-money valuation does not describe every economic term or determine every investor’s eventual outcome. The security being issued, its rights, and other deal terms matter alongside the stated price. Compare like with like: distinguish pre-money from post-money value, and do not treat a portfolio mark as if it were a newly negotiated round.
What the slowdown and AI funding figures do—and do not—show
Aggregate data indicate that AI financing has remained substantial even as venture conditions have pressured many companies. These figures describe market activity and selected benchmarks; none supplies a valuation for an individual startup.
| Measure | Reported finding | Scope and qualification |
|---|---|---|
| AI share of worldwide venture investment | 61%, or USD 258.7 billion | OECD analysis of 2025 global venture activity using Preqin data. The OECD used its own keyword analysis; deal classifications and small-deal records can be revised retroactively, and venture data capture only one view of AI investment. |
| Share of AI venture investment value represented by mega-deals | About 73% for deals over USD 100 million | OECD’s 2025 global AI venture investment analysis. The concentration in large deals does not indicate the terms available to a typical startup. |
| AI IT infrastructure and hosting investment | USD 109.3 billion | OECD-reported 2025 venture investment in this category. |
| Series A annual revenue benchmark | USD 2.5 million median | SVB’s H1 2025 report; annualized current run rate, excluding extension rounds. It is not AI-specific or a valuation multiple. |
| Time to increase valuation | More than two years for a typical Series A company | SVB’s H1 2025 report says this is the time needed to increase valuation as much as companies in 2021 did in a single year. It is a reported benchmark, not a prediction for every company. |
SVB’s H1 2025 analysis, drawing on its own data and PitchBook, also describes slower valuation growth, lower revenue multiples amid tighter capital supply and slower growth, and pressure on company runway. Its Series A benchmarks should not be treated as global or AI-only rules.
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Together, these reports point to a market in which financing conditions and AI demand can pull in different directions. PitchBook describes premiums for some AI startups alongside valuation discounts for many companies without recent rounds. OECD’s finding that investment value is heavily concentrated in deals above USD 100 million reinforces why a strong headline sector total says little about the price a smaller or less-funded startup can command.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.A practical way to assess a reported valuation
Before using a valuation—whether for fundraising planning, an investor comparison, or interpreting a headline—check what it actually represents:
- Identify the transaction or mark. Is this a newly negotiated financing price or a later portfolio estimate? Record the date and deal type.
- Match stage and geography. Compare companies at a similar development stage and in a relevant market rather than relying on an undifferentiated AI average.
- Clarify the valuation basis. Determine whether the figure is pre-money or post-money and what securities and rights are involved.
- Inspect the operating evidence. Check revenue, growth, and the metric used in any comparable-company multiple; confirm that the comparable deals are recent enough to be informative.
- Account for the cost of the business. Consider the company’s needs for compute, chips, infrastructure, and talent, as well as its cash runway and financing alternatives.
- Read the terms, not only the headline. A stated valuation and amount raised do not by themselves show how proceeds, security rights, or investor outcomes compare.
The central limitation is that market reports do not provide an apples-to-apples valuation dataset separating foundation-model companies, AI applications, infrastructure providers, and AI-enabled businesses across stages and geographies. The evidence supports no universal AI premium or formula. A defensible estimate must be tied to the company’s own evidence, its financing needs, the relevant transaction context, and the full deal terms.
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