CZ warns most AI firms will go bust as sector faces valuation reality check
Amidst a $1.8 trillion valuation for two private AI giants, broader industry data reveals a disconnect between capital expenditure and measurable productivity gains.
Binance founder Changpeng Zhao has issued a stark warning that the majority of artificial intelligence companies are destined to fail, arguing that the current market is severely overcrowded. Speaking on Friday, Zhao acknowledged that the technology itself will continue to grow exponentially, but cautioned that the sheer volume of entrants means most firms will not survive. He noted that even the eventual winners in this sector will face significant price volatility and intense competition from new market participants.
His comments arrive during one of the most active periods in AI fundraising history, with two private firms collectively valued near $1.8 trillion. Anthropic recently closed a $65 billion Series H round, achieving a post-money valuation of $965 billion, nearly tripling its February valuation of $380 billion. The round, led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, positions Anthropic alongside OpenAI, which is valued at $852 billion following its March mega-funding round.
Despite these lofty valuations, the financial reality for the sector remains challenging. OpenAI is preparing a confidential S-1 filing with Goldman Sachs and Morgan Stanley, targeting a public debut as soon as September. However, the company has guided to annual losses through at least 2028, including $74 billion in operating losses for that year alone, while committing to $1.4 trillion in datacentre spending over an eight-year period.
The tension between high capital investment and tangible returns is evident among corporate adopters. Uber CEO Dara Khosrowshahi recently stated that the company is slowing hiring to absorb its AI investments, while struggling to demonstrate clear returns. Uber’s CTO disclosed that the firm burned through its entire 2026 budget for Anthropic’s Claude Code and the developer tool Cursor in just four months, with the COO questioning whether increased AI token usage is actually improving consumer products.
Broader industry data supports the skepticism surrounding immediate profitability. National Bureau of Economic Research data from February indicated that 90% of firms reported no measurable impact on workplace productivity from AI. Furthermore, concerns are mounting regarding hyperscaler revenue loops, with Anthropic and OpenAI alone underwriting more than half of the roughly $2 trillion in future cloud commitments held by Microsoft, Amazon, Google, and Oracle.
As the sector moves toward the public markets, the focus will shift to whether revenue can catch up with the massive costs of infrastructure and development. While Anthropic is on track for its first operating profit this quarter, the broader industry continues to spend faster than it earns. The upcoming OpenAI filing will provide a critical test of what a trillion-dollar AI company looks like on a balance sheet.
