The Illusion of Traction: Venture Capitalists Warn That Product-Market Fit Is Harder Than Ever in the AI Era

Product-market fit—the elusive milestone where a startup’s product finally begins selling seamlessly and sustainably—has become significantly harder to pin down in the era of artificial intelligence. Even as technological advances allow modern startups to achieve record-fast initial growth, industry veterans are warning that customer stickiness is declining and that software products can now be replicated more easily than ever before.

The changing dynamics of building and scaling companies in a hyper-competitive tech landscape took center stage last week at TechCrunch Disrupt. During a panel discussion, Anu Bharadwaj, a partner at Iconiq; Rajeev Dham, a partner at Sapphire Ventures; and Rahul Vohra, the founder of Superhuman Mail, gathered to discuss the shifting rules of product-market fit, offering a stark reality check for founders navigating the current market environment.

"It’s never been easier to gain a bunch of pilots because lots of companies across the board are open to trying new things," Bharadwaj told the audience, pointing to the widespread corporate eagerness to test emerging artificial intelligence applications. "But going from pilot to production is really the hard thing."

That initial enthusiasm from enterprise buyers has created a mirage of early momentum, masking underlying vulnerabilities in customer retention and conversion. Bharadwaj noted that a growing number of founders are currently pitching revenue metrics to prospective investors without clearly specifying the nature or quality of the revenue they are reporting.

"Is it true ARR or is it run rate?" she said, highlighting the ambiguity that often plagues early-stage fundraising decks. "There’s many ways to obfuscate the whole thing."

Lately, intense chatter across social media platforms like X has focused heavily on artificial intelligence founders inflating their annual recurring revenue figures. Whether leaning on the more flexible definition of "annualized run rate" or the much more rigid and reliable "annual recurring revenue," some entrepreneurs are utilizing these metrics interchangeably to project a picture of financial health that far exceeds reality. A particularly common gimmick involves counting short-term pilot customers—who may only use an experimental product for a couple of months—within the annualized run rate calculations, thereby implying that the incoming revenue will miraculously continue for the entire calendar year.

While it should arguably go without saying, Bharadwaj emphasized that transparency remains paramount for long-term viability. "It’s definitely in your long-term interest that you be very honest and upfront about what quality of revenue this is," she pointed out.

Founders must learn to aggressively separate market hype from financial reality when evaluating the true quality of their incoming cash flow. According to Bharadwaj, stark warning signs—or red flags—include situations where a company’s revenue is overly concentrated among just a handful of clients, or where customers can easily abandon the platform for a cheaper competitor at a moment’s notice.

"Churn rate and retention [are] really dependent on that," she continued, stressing that surface-level sales mean very little if clients vanish the moment a cheaper or shinier alternative emerges.

To combat these deceptive metrics, Vohra advised startups to closely track genuine customer engagement and dollar-based net retention, particularly for businesses operating in the consumer product space. Founders need to look past vanity metrics and understand the true health of their user base. "Figure out what benchmark [is] good, great, and excellent for your space," he said.

Drawing from his own experience scaling Superhuman, Vohra shared how the email startup tracked standard annual recurring revenue while simultaneously developing an internal proprietary benchmark known as "delighted ARR." He defined this specialized metric as "the ARR only from customers who are super engaged with the product." By isolating this specific segment, the company gained a much clearer window into true customer stickiness and the likelihood of long-term retention.

"Those users are now still users, those companies are now still customers," Vohra noted, reflecting on the long-term compounding benefits of focusing on true engagement. "We obsessed over serving that particular category of our user base and our customer base."

Beyond financial metrics, the panel also dove into the qualitative green flags that genuinely indicate a startup has successfully secured product-market fit. For Vohra, the process begins with direct conversations with customers to understand the precise value they extract from the product, as well as gauging how genuinely disappointed they would feel if they lost access to it. Founders must then exercise brutal self-awareness when evaluating those customer responses.

Vohra referenced a well-known industry benchmark regarding customer disappointment surveys. If a startup finds that only 15%, 14%, 13%, or fewer of its users would be very disappointed if the product disappeared, it is time to consider a complete strategic pivot. In such scenarios, he suggested keeping the existing codebase and the engineering team to build something entirely different. However, if that crucial disappointment metric hits 20%, a company has a viable foundation. "You can totally optimize your way from 20% to 40%," Vohra said.

Building upon that sentiment, Dham cautioned founders against a common psychological trap: confusing a grand visionary idea with the operational realities of running a sustainable business. A compelling vision alone cannot bridge the gap when customer demand is ultimately lacking.

At the earliest stages of company building, Bharadwaj noted that pivoting is not only acceptable, but expected. At the seed stage, she rarely looks for immediate, flawless product-market fit. Instead, she evaluates whether the founder possesses a coherent, plausible thesis and demonstrates the necessary agility to duck, weave, and adapt as market conditions rapidly shift around them.

Dham echoed this perspective, adding that he increasingly values founders who have navigated numerous pivots throughout their journey. Far from viewing multiple pivots as a sign of failure, he believes they demonstrate that an entrepreneur has been forced to make difficult, pragmatic decisions during an era of unprecedented technological transition.

Ultimately, product-market fit is not a permanent destination that a startup reaches and checks off a list. Instead, it is a moving target that founders must constantly redefine and re-earn as markets evolve.

"Even at a billion in revenue, these companies are re-earning their product-market fit," Dham concluded. "You constantly have to be innovating on products."