The AI Spending Crisis: When Costs Can't Be Measured or Controlled

While industry observers debate AI's return on investment, a more fundamental problem is emerging: companies cannot reliably predict or control AI costs due to LLM hallucinations and token unpredictability. Recent incidents—GitHub Copilot's unexpected token-billing shock and a company's accidental $500 million Anthropic charge—reveal that enterprises face impossible cost-control scenarios. As major companies like Uber reassess their AI spending, this inability to measure and predict costs is becoming the primary barrier to AI adoption, overshadowing ROI concerns entirely.