Overview
- Citing late-June reports, OpenAI is leaning toward postponing a planned 2026 IPO into 2027 while holding firm to a $1 trillion target valuation, a move advisers say is driven by recent tech-market volatility.
- Wall Street has pushed up AI spending forecasts: JPMorgan now pegs global AI-related capex at about $5.5 trillion through 2030 while Goldman projects hyperscaler spending of roughly $527 billion to $765 billion in 2026.
- Investors have reacted nervously to the scale of the build-out, producing sharp moves in chip and cloud stocks and a broad technology selloff that included a roughly 2.2% drop in the Nasdaq in recent trading.
- The infrastructure boom is already creating real costs for consumers and suppliers: high-bandwidth memory prices roughly doubled in Q1 2026 and rising data-center power demand has pushed up local electricity bills.
- Analysts warn the spending pattern raises credit and political risk because hyperscalers are using large amounts of debt to finance projects and communities are resisting new data centers, which could slow deployment and delay returns to investors.