Top tech executives express concerns about an impending bubble in the artificial intelligence sector, highlighting exaggerated valuations and unsustainable business models.
Leading figures in the technology industry have voiced their apprehensions regarding a potential bubble in the artificial intelligence (AI) sector. During a recent Web Summit in Lisbon, Jarek Kutylowski, CEO of the German AI company DeepL, shared his belief that “the evaluations are pretty exaggerated here and there,” indicating that “there are signs of a bubble on the horizon.”
This sentiment was echoed by Hovhannes Avoyan, CEO of Picsart, who noted that many AI companies are securing “tremendous valuations” despite lacking substantial revenue. He expressed concern over the market’s tendency to value smaller startups based on what he termed “vibe revenue,” a concept that refers to companies generating interest without significant sales. This term plays on the notion of “vibe coding,” which allows individuals to use AI for coding without requiring extensive technical knowledge.
Mozilla CEO Laura Chambers also weighed in on the issue, stating, “Yes. It’s really easy to build a whole bunch of stuff, and so people are building a whole bunch of stuff, but not all of that will have traction.” She emphasized that the volume of new products being developed far exceeds the number that will ultimately prove sustainable. Chambers pointed out that advancements in technology have drastically reduced the time needed to create applications, leading to an influx of subpar offerings. “I mean, I can build an app in four hours now. That would have taken me six months to do before,” she remarked, highlighting the rapid pace of development in the sector.
Chambers further noted the critical issue of monetization, stating that many AI companies, including various AI browsers, are operating at significant losses. “At some point that isn’t sustainable, and so they’re going to have to figure out how to monetize,” she added, underscoring the challenges that lie ahead for these businesses.
Babak Hodjat, chief AI officer at Cognizant, expressed similar concerns, suggesting that diminishing returns are beginning to affect large language models. This perspective aligns with previous warnings from financial leaders about inflated valuations in the tech sector. Notably, David Solomon of Goldman Sachs and Ted Pick of Morgan Stanley have cautioned about potential market corrections as the valuations of major tech firms reach historic highs.
Adding to the discourse, renowned investor Michael Burry, known for his role in the “Big Short,” has accused major AI infrastructure and cloud providers, referred to as “hyperscalers,” of understating depreciation expenses on chips. Burry warned that profits reported by companies like Oracle and Meta may be significantly overstated, and he has disclosed put options that bet against firms such as Nvidia and Palantir.
Despite these rising concerns, the technology industry maintains a generally optimistic outlook on AI. Lyft CEO David Risher acknowledged the transformative potential of AI while also recognizing the associated risks. “Let’s be clear, we are absolutely in a financial bubble. There is no question, right? Because this is incredible, transformational technology. No one wants to be left behind,” Risher stated.
He further differentiated between the financial bubble and the industrial outlook, asserting that the underlying infrastructure and model creation associated with AI will have a long-lasting impact. “The data centers and all the model creation, all of that is going to have a long, long life, because it’s transformational. It makes people’s lives easier. It makes people’s lives better… On the other hand, you know, the financial side, it’s a little risky right now,” Risher concluded.
As the debate continues, the tech industry remains at a crossroads, grappling with the dual realities of innovation and valuation. The future of AI may hinge on how effectively companies can navigate these challenges while delivering sustainable growth.
Source: Original article

