OpenAI's Billion-User Dream Stalls: Revenue Misses and CFO Alarm Ahead of IPO Push
News Summary
OpenAI Falls Short of Revenue and User Growth Goals Ahead of Planned IPO
A Wall Street Journal report published on April 27–28, 2026 (Eastern Time) revealed that OpenAI missed several of its own internal benchmarks for both revenue and user growth — a development that sent ripples through AI-adjacent stocks and raised broader questions about the sustainability of the company's massive infrastructure spending strategy.
The Targets That Were Missed
OpenAI had set an ambitious internal milestone to reach one billion weekly active ChatGPT users by the end of 2025. That goal went unmet. Growth in ChatGPT's user base slowed noticeably in the back half of 2025, and the company also fell short of monthly revenue targets on multiple occasions in early 2026. Two primary competitive forces were cited: Google's Gemini, which gained significant market share with consumers and developers late in 2025, and Anthropic, whose models — particularly in coding assistance and enterprise deployments — pulled meaningful business away from OpenAI.
CFO Sarah Friar Raises Internal Alarm
According to the WSJ report, Chief Financial Officer Sarah Friar communicated concern to company leadership that OpenAI might struggle to honor its future compute contracts if revenue growth does not accelerate materially. OpenAI has accumulated approximately $600 billion in forward data-center commitments, built on CEO Sam Altman's long-held thesis that access to compute at scale is the defining constraint in AI development. The concern is straightforward: those contracts require ongoing revenue to service, and a sustained shortfall could create financial strain.
Sam Altman and Sarah Friar Respond
Both Altman and Friar pushed back on characterizations of internal disagreement. In a joint statement emailed to Reuters, they said: "This is ridiculous. We are totally aligned on buying as much compute as we can and working hard on it together every day." OpenAI also told CNBC that the two executives remain fully aligned on the company's compute strategy, seeking to distance the report's framing from any suggestion of leadership discord.
Market Reaction: AI Infrastructure Stocks Decline
The report triggered a notable sell-off in stocks tied to OpenAI's infrastructure ecosystem on April 28, 2026 (Eastern Time). Oracle, which holds a reported $300 billion, five-year partnership to supply computing power for OpenAI's AI operations, fell approximately 4%. Chipmakers also declined: Broadcom dropped around 4% and Advanced Micro Devices (AMD) fell roughly 3%. The market reaction underscored how closely AI infrastructure companies' valuations are now linked to the perceived health of leading AI labs' growth trajectories.
Context: The Road to IPO
The timing of the report is significant. OpenAI is widely reported to be preparing for a public market offering, having most recently raised $122 billion in a funding round to accelerate its next phase of AI development. Missed internal targets, surfacing weeks before a potential IPO push, invite scrutiny about the company's near-term monetization trajectory versus its capital expenditure commitments. The disparity between aggressive infrastructure spend and current revenue performance is the central tension that investors and analysts are now examining closely.
Competitive Landscape Shifts
The shortfalls reflect a broader shift in the competitive dynamics of the AI industry. When OpenAI launched ChatGPT in late 2022, it held an essentially uncontested consumer AI position. By early 2026, Google's Gemini had become a credible challenger for consumer mindshare, particularly after a series of strong product updates, while Anthropic's Claude models carved out a strong niche in software development tooling and enterprise workflows. The result is a market that is no longer winner-takes-all at the product layer, even if foundational model capabilities remain highly differentiated.
What Comes Next
OpenAI has not commented on a revised revenue forecast or adjusted user growth timeline. The company continues to expand its product surface — including operator API tools, enterprise agreements, and new model deployments — and has argued that its compute investments position it for long-term leadership. Whether near-term revenue growth can keep pace with the scale of its financial commitments will remain one of the defining questions as the company moves toward a public listing.