San Francisco, April 28, 2026 OpenAI missed ChatGPT targets as compute costs rose
OpenAI fell short of key internal benchmarks for ChatGPT user growth and revenue amid rising computing expenses, according to a report corroborated by multiple sources.
Financial and Operational Shortfalls
The artificial intelligence firm, which has been a leader in generative AI development, failed to meet its projected targets for both user adoption and revenue generation tied to its flagship product, ChatGPT. Two independent sources confirmed the shortfall, with one indicating a confidence level of 83.2% in the accuracy of the data.
Sarah Friar, a prominent figure in the tech investment space, noted that OpenAI’s struggles highlight the broader challenges facing AI companies as they scale. "The cost of compute is a major bottleneck," she said, referencing the substantial expenses tied to running advanced AI models. Oracle and Advanced Micro Devices, key providers of cloud infrastructure and hardware, have been central to OpenAI’s operations, but their services come at a premium.
Alice Li, an analyst cited in the report, pointed out that while OpenAI has maintained a strong technological edge, its financial sustainability remains under scrutiny. "Revenue targets are just as critical as innovation in this phase of the industry," she said.
Industry Reactions and Broader Implications
The Wall Street Journal (WSJ) and Decrypt were among the outlets that picked up the story, with WSJ emphasizing the competitive pressures in the AI sector. Markus Levin of Forge Global remarked that OpenAI’s performance could influence investor sentiment toward other AI startups. "If even OpenAI is struggling to hit its marks, it raises questions about the viability of smaller players," he said.