The Wall Street Journal reported on April 29, 2026, that OpenAI, the AI giant behind ChatGPT, has failed to meet internal revenue and user growth targets as it races toward a planned initial public offering. Following the report, technology stocks declined across the board.

Details

According to the report, OpenAI’s flagship product ChatGPT has fallen short of internal expectations for both revenue growth and user base expansion. While ChatGPT remains the world’s most popular AI chatbot, its commercialization trajectory is showing signs of deceleration.

CNBC reported that OpenAI subsequently pushed back on the report, stating that its growth trajectory remains healthy. Nevertheless, the news sparked concerns among investors about the broader AI sector’s valuations.

Market Reaction

Following the report, stocks of companies closely tied to OpenAI’s ecosystem fell notably:

• Oracle: Shares dropped significantly as a key cloud infrastructure partner for OpenAI
• AMD: The AI chip competitor saw its stock weaken in sympathy
• CoreWeave: The AI cloud computing startup experienced a sharp decline

24/7 Wall St. noted that OpenAI’s revenue miss rippled through the S&P 500, compounding investor anxiety during a critical week when major technology companies are reporting earnings.

Context

OpenAI is actively preparing for an IPO, with market speculation suggesting a potential valuation of up to $1 trillion. However, reports of revenue growth falling short have led investors to question whether such lofty valuations are justified.

The New York Times analysis suggested that if OpenAI is indeed missing user and revenue targets, it could signal that the company is falling behind competitors in an increasingly crowded AI landscape.

Industry Impact

The timing of this development is particularly significant, coming as scrutiny intensifies on the massive AI spending spree that has seen hundreds of billions of dollars poured into AI infrastructure. OpenAI’s revenue miss could prompt investors to reassess return-on-investment expectations across the entire AI sector.

This news arrives just as major tech companies — Apple, Microsoft, Google, Amazon, and Meta — prepare to report their quarterly earnings, which will further illuminate the actual commercial returns on AI investments.

Sources: WSJ · CNBC · Forbes

The Wall Street Journal reported on April 27, 2026, that OpenAI has failed to meet key internal revenue and user growth targets in its sprint toward an initial public offering (IPO). The revelation has drawn widespread attention across the artificial intelligence industry and added uncertainty to OpenAI’s valuation prospects.

Citing people familiar with the matter, the newspaper reported that OpenAI’s revenue growth in the first quarter of 2026 fell short of management’s expectations, while the growth rate of active users for its flagship product, ChatGPT, has also slowed. This stands in stark contrast to market expectations of OpenAI’s multi-hundred-billion-dollar valuation.

The Decoder’s analysis pointed out that OpenAI is facing rapidly escalating competitive pressure. Anthropic’s Claude series of models has gained strong traction in the enterprise market, while Google’s Gemini model is rapidly expanding its user base through deep integration with the Google ecosystem. Meanwhile, several open-source model providers are continuously narrowing the performance gap with closed-source models.

Reuters independently confirmed the report and added that OpenAI’s IPO timeline could be affected as a result. The company had previously planned to initiate its listing process within 2026, but if revenue data cannot support its high valuation expectations, the process may be forced to delay.

Notably, OpenAI is still pursuing a new round of financing and continuing to push forward with product commercialization. ChatGPT’s enterprise services, API calls, and custom model business remain its primary revenue sources. However, as AI model costs continue to decline and competition intensifies, its profit margins are under compression.

Analysts believe that the challenges OpenAI currently faces reflect a broader trend in the AI industry: the transition from technological leadership to commercialization capability is not easy. In the context of competitors rapidly catching up, a purely technical moat is no longer sufficient to maintain long-term market dominance.

Source: The Wall Street Journal, Reuters, The Decoder