AI Infrastructure Crisis Deepens as Demand Outpaces Supply, Experts Warn of Worsening Shortages Through 2027
Summary
A deepening AI infrastructure crisis is forcing companies like Anthropic to actively degrade their own products to conserve compute, as surging demand from agentic tools outpaces supply — and with DRAM constraints expected to cap growth at 15GW until 2027, experts warn inference shortages will worsen through 2026 and 2027, urging businesses to diversify providers and lock in enterprise contracts now.
Key Points
- AI compute supply is struggling to keep up with surging demand, with Anthropic experiencing severe uptime issues and actively degrading its own products — including reducing default effort levels and removing older models — to free up compute resources.
- Agentic AI tools like Claude Code are driving explosive token consumption, yet adoption remains in the low single-digit percentages of global knowledge workers, raising serious concerns about how infrastructure will cope as usage scales toward even 5% penetration.
- DRAM supply constraints are expected to cap AI infrastructure growth at roughly 15GW until 2027, making inference shortages likely to worsen through 2026 and 2027, and experts recommend diversifying across multiple AI providers and locking in long-term enterprise contracts now.