‘At some point you’ve got to make money’: Goldman’s top AI skeptic warns the clock is running out ahead of OpenAI and Anthropic IPOs

Goldman Sachs AI skeptic Jim Covello raises concerns about the profitability timeline for major AI companies ahead of potential OpenAI and Anthropic IPOs, questioning when venture-backed AI firms will transition from massive spending to generating returns. His skepticism reflects broader Wall Street debate over whether AI's astronomical valuations are justified by near-term revenue prospects.

Jim Covello's persistent skepticism about artificial intelligence valuations has positioned him as a crucial contrarian voice on Wall Street for two years. His latest commentary zeroes in on a fundamental challenge facing the AI industry: the capital-intensive nature of training and deploying large language models has created an unsustainable economic model where spending vastly outpaces revenue generation. The timing of his warnings carries weight given OpenAI and Anthropic's rumored IPO preparations, moments when public market scrutiny will intensify around unit economics and pathways to profitability.

Covello's core question—when does short-term investment become long-term profit—reflects a legitimate tension in the AI sector. Frontier AI companies have pursued a venture-backed growth-at-all-costs strategy, prioritizing capability improvements and market share over demonstrable profitability. This model thrived during the late 2020s AI boom but faces pressure as investors demand clearer return horizons. The comparison to past technology cycles suggests that unsustainable unit economics eventually catch up with valuations.

For public markets, this skepticism matters significantly. If institutional investors echo Covello's concerns during IPO roadshows, it could pressure valuations for OpenAI, Anthropic, and adjacent AI infrastructure plays. Developers and enterprise users remain largely insulated from these financial pressures in the short term, but sustained profitability concerns could eventually affect API pricing, service reliability, and R&D investment levels. The broader crypto and DeFi communities watch this debate closely, as AI's financial sustainability shapes adoption of AI-crypto hybrid projects.

• →Goldman Sachs' top AI skeptic questions when AI startups will achieve profitability amid massive capital expenditures
• →OpenAI and Anthropic IPOs will face investor scrutiny on unit economics and revenue-to-cost ratios
• →The venture-backed growth model for AI companies prioritizes capability over profitability, creating long-term sustainability questions
• →Covello's two-year track record of AI skepticism makes his latest warnings noteworthy for institutional investors evaluating tech allocations
• →Public market entry could force AI leaders to demonstrate concrete paths to profitability rather than pursuing indefinite growth-stage strategies