Wall Street Millennial
July 3, 2026
TL;DR
OpenAI delays its IPO from 2026 to 2027 after investment banks value it below $1 trillion, while the company faces a revenue sustainability crisis as customers revolt against massive price increases and pull back AI spending.
“Altman has boxed himself into a corner. He's reportedly signed up to $600 billion worth of data center spending commitments over the next 5 years. These are legally binding commitments.”
— Wall Street Millennial
“Our data shows regular AI users produce higher quality work, feel less stressed, and spend more time on strategic work. These benefits help people progress faster in their careers.”
— KPMG Spokesperson
“Tracking AI usage is almost as arbitrary as tracking days if we used Google search. Just because we've used AI 75% of days we worked didn't make us more productive or benefit the bottom line.”
— KPMG Employee
“People are really saying, you know, that's kind of become a meme now, but my company spent my entire 2026 budget in Q1. Can you make this more efficient?”
— Sam Altman
1. OpenAI's IPO Confidential Submission and Strategic Delay
OpenAI filed a confidential S-1 IPO prospectus in June 2026 and publicly announced it to control the narrative. Sam Altman wanted an IPO by end of 2026, but after investment banks valued the company below $1 trillion, he delayed the IPO to 2027. CFO Sarah Frier opposed the IPO timeline due to massive data center commitments, and is now isolated by Altman for her disagreement.
2. OpenAI's Impossible Financial Situation
OpenAI has signed $600 billion in binding data center spending commitments over 5 years ($120 billion annually) but only generates $30 billion in annualized revenue. The company needs a 4x revenue increase just to cover computing costs. At a sub-$1 trillion valuation, they cannot raise enough capital to meet these commitments, risking bankruptcy.
3. The Great AI Pricing Bait-and-Switch
OpenAI and Anthropic transitioned enterprise customers from subsidized subscription pricing ($20-200/month) to consumption-based billing in 2026, causing customer costs to triple. This was necessary because both companies were losing massive amounts of money on the previous subscription model—the largest rugpool of all time.
4. Token Maxing and Work Slob Culture
Employees boast about wasting money on AI tokens in meaningless publicity stunts. Corporate executives believe AI narratives without evidence, forcing employees to use AI despite 40% of workers reporting no time savings. KPMG mandates AI usage 75% of working days with no proof of productivity gains.
5. Consulting Firms Drowning in AI Hallucinations
KPMG published a 'thought leadership' report full of AI-generated hallucinations about enterprise AI implementations that never actually happened. The Financial Times exposed that UBS, Transport for London, and other organizations denied using AI the way KPMG claimed. Deloitte similarly provided a $300k report to the Australian government full of fabricated quotes and non-existent research.
6. Enterprise Customers Revolt and Pull Back Spending
Customers are rapidly discovering that enterprise AI is not worth the cost. Sam Altman admitted in June 2026 that cost concerns went from non-existent to a major issue. GPU rental prices dropped 30% in June as consumption-based billing came due and enterprises slashed spending. Uber capped AI spending at $1,500 per employee per month after blowing its entire 2026 budget in Q1.
7. The Impossible Dilemma: Revenue vs. Customer Satisfaction
OpenAI is trapped: Altman needs revenue to quadruple to justify a $1 trillion valuation for the 2027 IPO, but customers are demanding lower prices. Wall Street Journal reports OpenAI is considering drastic price cuts, which would further erode revenue and make bankruptcy even more inevitable.