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AI Startup CEO Exposes 'Huge Scam': Why Revenue Figures Are Inflated and Misleading the Industry



By admin | May 22, 2026 | 5 min read


AI Startup CEO Exposes 'Huge Scam': Why Revenue Figures Are Inflated and Misleading the Industry

Last month, Scott Stevenson, co-founder and CEO of the legal AI startup Spellbook, posted on X to call out what he described as a "huge scam" among AI startups: the inflation of publicly announced revenue figures. "The reason many AI startups are crushing revenue records is because they are using a dishonest metric. The biggest funds in the world are supporting this and misleading journalists for PR coverage," he wrote. Stevenson is not the first to argue that annual recurring revenue (ARR)—a metric traditionally used to sum up the annual revenue from active customers under contract—is being manipulated by some AI companies beyond recognition. Various aspects of these ARR shenanigans have been covered in other news reports and social media posts. However, Stevenson's tweet seemed to strike a particular nerve within the AI startup community, garnering over 200 reshares and comments from high-profile investors, many founders, and a few headlines. Indeed, our sources, many of whom spoke on condition of anonymity, confirmed that fudged ARR in public declarations is a common practice among startups, and in many cases, investors are aware of these exaggerations.

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**Not Really Revenue, Yet**

The main obfuscation tactic involves substituting "contracted ARR," sometimes called "committed ARR" (CARR), and simply labeling it as ARR. "For sure they are reporting CARR as ARR," one investor said. "When one startup does it in a category, it is hard not to do it yourself just to keep up." ARR is a metric established and trusted since the cloud era to indicate total sales of products where usage, and therefore payments, is metered out over time. Accountants don't formally audit or sign off on ARR primarily because generally accepted accounting principles (GAAP) focus on historical, already-collected revenue rather than future revenue. ARR was intended to show the total value of signed-and-sealed sales, typically multiyear contracts. (Today, this concept often goes by another name: remaining performance obligations.) Meanwhile, the term "revenue" is usually reserved for money already collected. CARR is supposed to be another way to track growth, but it's a much squishier metric than ARR because it counts revenue from signed customers who haven't been onboarded yet. CARR "builds on the ARR concept by adding committed but not yet live contract values to total ARR," Bessemer Venture Partners (BVP) wrote in a blog post back in 2021. Critically, though, BVP says the startup is supposed to adjust CARR to account for expected customer churn (how many customers leave) and "downsell" (those who decide to buy less). The main problem with CARR is counting revenue before a startup's product is implemented. If implementation is lengthy or goes awry, clients might cancel during the trial before all—or any—of the contracted revenue has been collected. The rest was from contracts that hadn't been deployed yet and in some cases may take a long time to implement the technology. The company's board, including a VC from a large fund, was aware that the revenue from the eventual paying part of the contract had been counted in ARR during the lengthy pilot program, the person said. The board was also aware that the customer could cancel before paying the full contract amount. The obvious problem with using CARR and calling it ARR is that it is far more susceptible to being "gamed" than traditional ARR. If a startup doesn't account realistically for churn and downsell, CARR could be inflated. For instance, a startup could offer big discounts for the first two years of a three-year contract and count the whole three years as CARR (or ARR), even though customers may not stick around to pay the higher prices in year three. "I think Scott [Stevenson] is right. I speak to VCs all the time. They're like, 'There are some choppy, choppy standards out there.'"

Most cases are slightly less extreme. For instance, an employee at another startup described a discrepancy where marketing materials claimed $50 million in ARR, while the actual figure was $42 million. However, this person claimed that investors had access to the company's books, which accurately reflected the lower amount. The source said some startups and their investors are comfortable playing fast and loose with their public metrics in part because AI startups are growing so quickly that an $8 million gap is viewed as a rounding error they'll grow into quickly.

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**The Other, More Problematic "ARR"**

There's another issue surrounding all those public ARR declarations. Sometimes founders use another measurement with the same "ARR" acronym and a similar name: annualized run-rate revenue. This ARR is also controversial because it extrapolates current revenue over the next 12 months based on a given period's haul (e.g., a quarter, month, week, or even a day). Since many AI companies charge based on usage or outcomes, that method of calculating annualized run-rate ARR can be misleading because revenue is no longer locked into predictable contracts. Most people interviewed for this story said that ARR overstatements of all kinds are hardly a novel phenomenon, but startups have become far more aggressive amid the AI hype. In the age of AI, startups are expected to grow much faster than ever before. "Going from 1 to 3 to 9 to 27 is not interesting," Hemant Taneja, CEO and managing director of General Catalyst, said on the 20VC podcast last September, referring to the millions in ARR a startup is traditionally projected to hit each year. "You got to go like 1 to 20 to 100."

The pressure to show rapid growth is prompting some VCs to support, or at least overlook, startups presenting inflated ARR figures to the public. "There are definitely VCs in on this because they're incentivized to create a narrative that they have runaway winners." Newton, whose legal AI startup Clio was valued at $5 billion last fall, also alleges that VCs are often aware but silent about ARR misrepresentations. By turning a blind eye to public pronouncements of inflated ARR, VCs are effectively helping to kingmake their own portfolio companies. When a startup publicly reports high revenue, it is more likely to attract the best talent and customers who believe the company is the undisputed winner in its category. "Everyone has a company monetizing CARR as ARR."

Still, anyone intimately familiar with the industry's intricacies has a hard time believing that some of these startups actually reached $100 million in ARR within a few years of launch. "To everyone who's inside, it just feels fake," said Alex Cohen, co-founder and CEO of health AI startup Hello Patient. "You read the headlines and you're like, 'I don't believe it.'"

However, not all startups feel comfortable representing growth by reporting CARR instead of ARR. They prefer to be clean and clear about their numbers in part because they understand that public markets measure software companies on ARR rather than CARR. These founders prioritize transparency. Wordsmith's McNairn, who remembers the struggle startups faced justifying high valuations after the 2022 market correction, said he doesn't want to create an even higher hurdle by exaggerating his startup's revenue. "I think it is short-sighted, and I think that when you do things like that for a short-term gain, you're overinflating already crazy high multiples," he said. "I think it's super bad hygiene, and it's going to come back and bite you."




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