OpenAI’s missed targets spark stock rout across AI infrastructure

Craig Nash
By
Craig Nash
AI-powered tech writer covering artificial intelligence, chips, and computing.
8 Min Read
OpenAI's missed targets spark stock rout across AI infrastructure — AI-generated illustration

OpenAI missed targets for weekly active users and annual revenue for ChatGPT, according to a Wall Street Journal report on Monday, triggering immediate selloffs across the AI infrastructure sector. The company fell short of its goal to reach one billion weekly active users by the end of 2025, a milestone that was never publicly announced but represented a crucial internal benchmark. The miss signals deeper financial pressures at the artificial intelligence leader, sending ripples through markets globally.

Key Takeaways

  • OpenAI failed to reach its one billion weekly active user target for ChatGPT by end of 2025
  • Nvidia fell 1%, Oracle lost 5%, AMD dropped 4%, CoreWeave lost 5% in premarket trading
  • SoftBank shares plunged 9.9% on Tokyo Stock Exchange, worst single-day loss in six months
  • OpenAI CFO Sarah Friar warned leaders the company may not pay for future computing contracts if revenue growth stalls
  • Oracle’s $300 billion five-year cloud deal with OpenAI faces scrutiny as revenues won’t begin until 2027

Why OpenAI Missed Targets Matters for AI Markets

OpenAI missed targets at a moment when the entire artificial intelligence sector faces intense scrutiny over sustainability and actual revenue generation. The company’s internal shortfalls expose a critical tension: massive compute costs are mounting while user growth and monetization lag expectations. CFO Sarah Friar warned company leaders that OpenAI might not be able to pay for future computing contracts if revenue does not accelerate. This is not a minor operational hiccup—it is a statement that the company’s current business model may not support its infrastructure spending.

The timing compounds the problem. OpenAI is moving toward a potential IPO before 2027, according to prediction markets, but the company now faces a convergence of risks. As Christophe Barraud, head of discretionary management and research at Lior Global Partners, noted: “As [OpenAI] inches toward a potential IPO, the company now faces a convergence of risks that could significantly complicate its path to public markets: missed internal targets, intensifying global competition, and a high-stakes lawsuit that could reshape its very structure”. Investors are no longer willing to ignore missed benchmarks in the name of long-term vision.

Stock Market Reaction and Oracle’s Exposure

The selloff was immediate and severe. Nvidia, the dominant supplier of AI chips, fell 1% in premarket trading. Oracle, which has a $300 billion five-year cloud computing deal with OpenAI announced last September, lost 5% in premarket trading. AMD dropped 4%, and CoreWeave, a data center infrastructure company, lost 5%. SoftBank Group shares experienced their worst single-day percentage loss in six months, falling 9.9% on the Tokyo Stock Exchange. Microsoft, by contrast, saw little change in premarket trading, suggesting investors distinguish between OpenAI’s direct challenges and its broader partnerships.

Oracle’s exposure is particularly acute. The company is taking on massive debt to build data centers specifically for the OpenAI partnership, betting on revenues that won’t materialize until 2027. If OpenAI’s growth trajectory continues to disappoint, Oracle faces years of carrying costs on infrastructure built for a customer whose monetization path remains unclear. This is why Oracle’s 5% drop stung harder than Nvidia’s 1%—the risk is more concentrated.

Is This a Broader AI Market Correction?

Experts are divided on whether OpenAI’s stumbles signal a fundamental crack in the AI growth narrative or a temporary recalibration. Some analysts view the miss as evidence of a broader market correction, where unrealistic expectations meet real-world user adoption curves. Others argue the disruption stems from tech over-hiring and cost corrections rather than a failure of AI automation itself. The distinction matters: one suggests AI hype was overblown; the other suggests execution challenges are being corrected.

OpenAI faces intensifying global competition from rival artificial-intelligence labs, each competing aggressively on user growth and sales. The company’s miss becomes more damaging in this context—it suggests OpenAI is not just facing financial headwinds but losing the race for users to competitors. If rivals are growing faster, OpenAI’s path to profitability becomes even steeper.

What Happens Next for OpenAI and AI Infrastructure Stocks?

The immediate question is whether this report triggers a sustained selloff or a temporary correction. OpenAI has not publicly confirmed the targets or the miss, leaving room for the company to reframe the narrative. However, the specificity of the Wall Street Journal’s reporting—naming CFO Sarah Friar’s warnings and the one billion user target—suggests strong sourcing. That credibility makes it harder for OpenAI to dismiss the story as inaccurate.

For investors in AI infrastructure stocks, the calculus has shifted. Nvidia’s 1% drop reflects confidence that demand for chips will persist regardless of OpenAI‘s revenue trajectory. But Oracle’s deeper decline signals concern that not all AI infrastructure spending will materialize as promised. The next earnings season will be crucial—if other AI companies report similar user growth challenges, the selloff will deepen. If growth accelerates elsewhere, the miss may be isolated to OpenAI’s execution.

Does OpenAI’s miss change the AI investment thesis?

Not necessarily, but it demands a harder look at unit economics and path to profitability. OpenAI‘s miss shows that user acquisition at scale is harder than anticipated, and that converting users to revenue is even harder. This does not mean AI is overblown—it means the timeline to returns is longer and the execution risk is higher than recent hype suggested.

Why is Oracle’s $300 billion deal with OpenAI now at risk?

Oracle is not at immediate risk of losing the deal, but the company’s returns on the massive infrastructure investment are now in question. If OpenAI’s revenue growth stalls and the company cannot afford to pay for compute contracts, Oracle faces years of underutilized data centers. The deal remains in force, but its profitability for Oracle is now in doubt.

Will OpenAI’s IPO happen before 2027?

Prediction markets currently assign 15% odds to an IPO before 2027, but the missed targets make that timeline less likely. Public markets will demand clearer revenue visibility before accepting OpenAI at a premium valuation. The company may pursue a later IPO, a funding round at a lower valuation, or a strategic partnership to bridge the gap between compute costs and revenue growth.

OpenAI missed targets at exactly the wrong moment—when investor skepticism about AI spending is rising and when the company’s largest infrastructure partner is locked into a $300 billion bet. The miss is not fatal, but it forces OpenAI to prove execution faster than anticipated. For AI infrastructure investors, the lesson is clear: growth assumptions matter less than revenue realities.

This article was written with AI assistance and editorially reviewed.

Source: Tom's Hardware

Share This Article
AI-powered tech writer covering artificial intelligence, chips, and computing.