Singularity.Kiwi

AI progress, with honesty.
Stock charts on screens showing declining numbers in a dark trading room
AI & Singularity 29 April 2026

OpenAI Misses Its Own Targets — and the AI Boom Just Got Its First Real Reality Check

The company leading the AI revolution can't hit its own numbers. What that means for everyone else.

OpenAIAI IndustryAI InvestmentChatGPTIPO

The company that defines the AI industry just failed to meet its own expectations — and the ripple effects are already hitting stock markets worldwide.

A Wall Street Journal report on April 28 revealed that OpenAI has missed multiple internal revenue and user growth targets throughout early 2026. The company fell short on monthly sales goals, and ChatGPT’s weekly active users never came close to the 1 billion target set for the end of 2025. OpenAI’s CFO, Sarah Friar, reportedly raised internal alarms about the shortfalls and the risks posed by roughly $600 billion in future compute commitments.

Markets noticed. Oracle dropped around 7%. Nvidia, AMD, and Broadcom all slid 2-5%. CoreWeave, the AI cloud provider, felt it too. When the company spending the most on AI infrastructure says it’s not hitting the numbers it promised, investors do the maths.

The Numbers That Didn’t Add Up

OpenAI was reportedly aiming for around $30 billion in 2026 revenue. Instead, it’s projecting roughly $14 billion in losses this year while burning through cash at a rate that would make a 2021 startup blush. Monthly revenue targets were missed repeatedly in early 2026, partly due to Anthropic eating into OpenAI’s enterprise and coding markets.

ChatGPT’s web traffic share has cratered from 86.7% to 64.5% over the past year. Google Gemini has climbed to 21.5%. Anthropic’s Claude is gaining ground, particularly among developers — the exact crowd that was supposed to be ChatGPT’s most loyal power users.

That’s not just competition. That’s a fundamental shift in the market’s centre of gravity.

”Clickbait,” Says the Company Missing Its Own Numbers

OpenAI’s response? Dismiss the WSJ story as “clickbait” and insist the business is “firing on all cylinders.” Which is a bold claim from a company that just missed its own internally set targets. You don’t call something clickbait when your own CFO flagged the concerns internally first.

The spin is understandable — OpenAI is reportedly eyeing an IPO, and bad headlines before a listing are the last thing they need. But calling it clickbait doesn’t make the numbers less real. If anything, the defensive posture makes the story more concerning, not less.

Why This Matters Beyond OpenAI

Here’s the thing: OpenAI isn’t just a company. It’s the barometer for the entire AI industry. When OpenAI misses targets, it’s not a company-specific problem — it’s a signal about whether the AI gold rush is actually producing gold or just very expensive holes in the ground.

Consider the dominoes:

  • $600 billion in compute commitments. OpenAI has locked in massive data center deals with Oracle, CoreWeave, and Microsoft. If revenue doesn’t scale to match, those commitments become anchors, not engines.
  • Competitor erosion. ChatGPT losing nearly a quarter of its market share in a year means the moat everyone assumed existed might be more of a puddle.
  • Enterprise hesitancy. If the biggest name in AI can’t reliably convert users into paying customers, enterprises watching from the sidelines might slow their own AI rollouts.
  • IPO pressure. The worse the numbers look, the more OpenAI needs that IPO to fund the compute buildout. But the worse the numbers look, the harder the IPO becomes. That’s a feedback loop with no good ending.

The NZ Lens

New Zealand’s AI adoption has always lagged behind the US curve. In some ways, that’s been a liability — we’re slow to adopt transformative tools. But in this case, it might be a feature. If the AI infrastructure spending bubble does correct, NZ organisations that waited aren’t sitting on depreciating compute contracts or locked-in enterprise subscriptions they can’t justify.

The smarter play for NZ businesses right now? Stay interested, stay experimenting, but don’t sign any five-year enterprise AI contracts until the revenue model for these companies actually works.

The Real Question

OpenAI’s ambition was never small — that’s what made them compelling. But ambition without execution is just expensive storytelling. The question isn’t whether AI is transformative. It almost certainly is. The question is whether the companies spending hundreds of billions to build it can actually capture enough value to justify the spend before the money runs out.

We’ve seen this movie before. In 2000, the internet was genuinely transformative. That didn’t save Pets.com. The AI revolution is real. That doesn’t mean every company betting on it survives to see the other side.

SOURCES

  • Wall Street Journal — “OpenAI Misses Key Revenue, User Targets in High-Stakes Sprint Toward IPO”
  • CNBC — “OpenAI Reportedly Missed Revenue Targets; Shares of Oracle and Chip Stocks Falling”
  • Reuters — “OpenAI Falls Short of Revenue, User Targets as It Races Toward IPO”
  • The Information — “OpenAI Recently Missed Internal Revenue Target”
  • The Decoder — “OpenAI Misses Revenue Targets as Anthropic and Google Close In”
Sources: Wall Street Journal, CNBC, Reuters, The Information

Related Articles