The CEO of Airbnb states that AI is not being developed for everyday users. He serves on the board of Y Combinator.

      This week, the CEO of Airbnb presented his views on the Yahoo Finance podcast Power Players with Brian Sozzi. His analysis consists of two components. “Part of it is a narrative issue; we’re not communicating about AI correctly,” he stated.

      The second aspect addresses the product itself. “We need to create more products that everyday people can use.”

      The figure he referenced implicates him directly. Chesky provided the statistic, which makes it noteworthy. In Y Combinator’s latest cohort, out of 175 companies, 159 focused on enterprise rather than consumer offerings. He serves on Y Combinator’s board, which complicates the context but doesn’t negate the observation.

      He described this as a loss of confidence, stating that compared to when he founded Airbnb 18 years ago, current founders appear “afraid” to target consumers. “Nearly all AI is enterprise,” he remarked. “I think there is a significant gap in the consumer sector.”

      His perspective on progress in the field is more candid than many might be willing to express. “There’s been minimal advancement in consumer AI,” he noted. “ChatGPT represents the extent of what we’ve observed.” He anticipates a shift in the next two to three years, referring to it as a renaissance in consumer AI.

      He cited medical examples, arguing that AI could provide on-demand doctors to those who otherwise couldn't afford one. However, it is essential to recognize that this conceptual product has yet to be developed and overlooks the challenges involved, such as regulations regarding medical advice and the licensing and liability issues associated with on-demand doctors.

      In a key moment of the conversation, Chesky confirmed for the first time that Airbnb has an AI lab, a fact previously unacknowledged by the company. “I can confirm it exists, but I’m not going to comment further about it right now,” he said. This statement aligns with his critique of how the industry discusses AI, illustrating the narrative problem he identifies.

      During the interview, Chesky outlined Airbnb's commercial aspirations, stating that the company is approximately a year to 18 months away from evolving into a significantly larger service that includes rental cars and hotel accommodations. He candidly discussed the ambition for super apps, suggesting while they thrive in China, he questioned their feasibility in the US.

      He believes that the search function will undergo changes first, with chatbots managing destination search and itinerary creation before handling bookings. “Airbnb will introduce a completely different search paradigm,” he asserted.

      However, in Europe, the trend appears to lean toward separating services, evidenced by the Digital Markets Act aimed at breaking up bundled offerings, although it does not apply to Airbnb. Yet, this regulation shapes his ambitions; a successful travel super app could eventually attract regulatory scrutiny.

      Chesky's strongest argument comes from polling data. A Pew Research survey in June indicated that 40% of US adults expect the societal impact of AI over the next 20 years to be negative, while only 16% anticipate a positive outcome. This reflects a two-to-one disparity regarding a technology for which the industry is investing hundreds of billions.

      Thus far, the industry's response has primarily involved communication efforts. Numerous AI companies have engaged in feel-good advertising, and CEOs have circulated manifestos, including Mark Zuckerberg’s recent essay on superintelligence.

      Moreover, public tolerance for technology is waning. A recent survey revealed that 61% of Americans support increased oversight of social media. Some individuals are opting out in subtle ways, with reports highlighting workers worn out by screen time turning to pen and paper.

      Chesky attributed the prevalence of enterprise solutions to fear; however, a more straightforward explanation concerns business economics. Enterprise clients are willing to pay, sign long-term contracts, and accept subpar software, while consumers have higher expectations and can be more costly to acquire.

      An AI company prioritizing profitability will naturally gravitate towards sectors where revenue is assured. This isn't necessarily cowardice; it's often a survival imperative for many startups.

      Airbnb's own results substantiate this point, as their AI customer service resolved 45% of inquiries last quarter and reduced support costs per booking by 16%. These achievements focus on cost efficiencies rather than consumer products, with the most frequently cited success linked to internal operations rather than consumer engagement.

      However, counterexamples exist, particularly in Europe. Stockholm-based Lovable secured $400 million at a valuation of $13.3 billion for a tool enabling users to create software through simple language descriptions. This aligns more closely with Chesky's vision than many of the offerings from Silicon Valley this year.

      Airbnb itself represents another counterpoint, reporting its AI-driven quarter yielded $3.6 billion in revenue, a 17% increase, with bookings rising by 10%. Thus, the company advocating for consumer AI is simultaneously profiting from it, lending credibility to its claims.

      One statement from the interview is likely to be widely quoted: “One person could be a billion