The artificial intelligence boom is facing increasing pressure from several fronts, raising concerns about its sustainability. One significant factor is the rise in long-term interest rates, which are now at levels not seen since the financial crisis. This surge in borrowing costs, exacerbated by the substantial debt financing the AI industry, threatens to derail the ongoing AI race. Specifically, a 5% risk-free rate is identified as a potential trigger that could unravel these debt-fueled investments, impacting the sector from chip stocks to broader AI market winners.
Beyond financial headwinds, public sentiment towards AI is deteriorating. A recent Pew Research study shows that 52% of Americans are "more concerned than excited" about AI, a significant increase from 37% in 2021. This unease is reflected in various polls, with a CNBC survey finding that a majority of 18- to 34-year-olds do not trust prominent AI industry leaders to act responsibly. Over 70% of Americans also believe AI is advancing too quickly, as per an Economist/YouGov poll. This growing skepticism is forcing tech companies to sweeten deals with local communities for data center construction, offering perks like job guarantees and $50,000 bonuses for teachers.
The industry's struggle to demonstrate tangible benefits for everyday consumers is a core issue. While AI is infiltrating products from email to TVs, many consumers perceive it as enabling cheating in schools or raising concerns about job displacement, rather than delivering significant improvements to their lives. Airbnb CEO Brian Chesky and Anthropic CEO Dario Amodei both acknowledge this public relations crisis, with Amodei attributing it to a "crisis of trust" and the industry's failure to deliver on its grand promises, such as curing cancer. The current offerings, like summarized web pages or chatty TVs, are not compelling enough to justify the perceived trade-offs, leading to a hardening of skepticism among the public.
The Federal Reserve is also weighing the economic risks associated with AI, with discussions about AI references surging in their minutes. Meanwhile, the "blitzscaling playbook" adopted by AI companies like OpenAI and Anthropic, offering free products and pricing subscriptions below cost to gain market share, is proving resilient but unsustainable in the long run if users are not paying enough. This strategy, aimed at creating dependency, assumes that prices can be raised later, but current evidence suggests more interested exploration by businesses rather than deep structural embedding of AI tools. The long-term profitability hinges on whether AI can eventually command a price that generates investor returns, potentially requiring a dramatic shift away from human labor, or if a breakthrough in AI technology can justify the massive investments.
