TL;DR
AI startups are inflating their reported annual recurring revenue (ARR) by including unimplemented contracts, often known as contracted ARR or CARR. Investors are aware of this practice, which skews valuation metrics. The issue raises concerns about transparency and the true financial health of these companies.
Several AI startups are inflating their reported annual recurring revenue (ARR) figures by including unimplemented or contracted deals, a practice that many investors acknowledge but few regulate. This manipulation of revenue metrics impacts startup valuations and investor perceptions, raising concerns about transparency in the AI funding ecosystem.
Last month, Scott Stevenson, CEO of legal AI startup Spellbook, publicly accused some AI companies of inflating revenue figures through the use of ‘contracted ARR’ (CARR), which includes signed but not yet realized revenue. Stevenson described this as a ‘huge scam,’ criticizing how some startups report CARR as actual ARR, misleading investors and journalists. Sources within the industry confirm that inflating ARR with unfulfilled contracts is common, often with the knowledge or tacit acceptance of investors. Many startups count revenue from lengthy pilots, free trials, or contracts that may never convert into paid revenue, sometimes inflating reported ARR by significant margins. An investor told TechCrunch that some companies report CARR figures up to 70% higher than their actual ARR, with the risk that much of this contracted revenue may never materialize. The practice is facilitated by the fact that ARR, traditionally a reliable metric, is now being manipulated through the inclusion of future revenue that has not yet been earned or realized. Experts note that while accounting standards recognize the use of CARR, many startups fail to adjust for churn or downsell, further inflating their figures. Several sources cited specific cases where companies claimed multimillion-dollar ARR figures that included contracts with long implementation periods or free pilots, which could be canceled before generating actual revenue. Some industry insiders argue that this inflation is partly driven by competitive pressure to appear more successful than peers, and by the rapid growth environment of AI startups, which makes small discrepancies seem insignificant. The practice is not universally condemned, as some investors accept inflated figures as part of the startup growth narrative, but it raises questions about the true financial health of these companies and the reliability of public metrics.
Why It Matters
This issue matters because inflated ARR figures can distort startup valuations, influence investor decisions, and mislead the market about the health of AI companies. If investors rely on skewed metrics, it could lead to overvaluations and misallocation of capital. Transparency concerns also undermine trust in the startup ecosystem, especially as AI startups attract record levels of funding based partly on inflated growth metrics.
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Background
The use of ARR as a key metric became standard during the cloud computing boom, intended to reflect predictable, recurring revenue from signed contracts. However, the rise of AI startups has introduced new practices, such as counting unimplemented deals, which challenge traditional accounting standards. Recent high-profile funding rounds and valuation claims have brought attention to these practices, with some industry insiders warning that the line between genuine revenue and inflated figures is increasingly blurred.
“The reason many AI startups are crushing revenue records is because they are using a dishonest metric—inflating contracted ARR as actual revenue.”
— Scott Stevenson, CEO of Spellbook
“Proper revenue metrics are essential for transparency; startups should distinguish between contracted and realized revenue.”
— Garry Tan, YC partner
“We’ve seen companies where CARR is 70% higher than actual ARR, yet investors often turn a blind eye because growth is so rapid.”
— An anonymous investor
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What Remains Unclear
It remains unclear how widespread the practice is across the entire AI startup ecosystem, and whether regulators or standard-setting bodies will intervene. The extent to which investors will act to verify revenue claims or push for stricter standards is also uncertain, as many appear to accept some level of inflation as part of the growth story.
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What’s Next
Industry insiders expect increased scrutiny of revenue metrics, possibly leading to more transparent disclosures or regulatory guidance. Some venture capital firms may implement stricter due diligence procedures, and startups might face pressure to differentiate between contracted and realized revenue more clearly. Monitoring how this issue influences funding and valuation trends will be key in the coming months.
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Key Questions
What is ARR and why is it important?
ARR, or annual recurring revenue, measures the predictable, recurring revenue from signed contracts over a year. It is a key metric for valuing SaaS and subscription-based companies, reflecting growth and stability.
What is contracted ARR (CARR) and how does it differ?
CARR includes signed contracts that have not yet been implemented or paid, representing future potential revenue. Unlike ARR, which should reflect realized revenue, CARR can be inflated if not properly adjusted for churn or cancellations.
Why are startups inflating their ARR figures?
Startups inflate ARR to appear more successful, attract investment, and boost valuations. The rapid growth environment of AI startups and competitive pressures often incentivize overstating future revenue.
Are investors aware of this practice?
Many investors are aware that some companies include unfulfilled contracts in their ARR figures, and some accept it as part of the growth narrative, though this raises concerns about transparency.
Could this practice lead to regulatory action?
It is possible if regulators or accounting standards bodies decide to scrutinize revenue reporting more closely, especially if widespread overstatement is confirmed.
Source: TechCrunch
