Corporate America Is Starting to Ration AI as Cost Skyrockets

Author: Bradley Olson Source: Wall Street Journal Published: May 28, 2026

Summary

Executives are scrambling to track returns on AI investments as the bill for massive computing needs comes due.

Use of artificial intelligence by big companies is exploding—and the soaring cost has some of them pumping the brakes in a way that could complicate AI's triumphal march across the economy.

Executives across industries this year have urged employees to integrate AI tools into their work, spending freely to encourage experimentation and seeking to send a message to Wall Street that their companies won't be left behind in a coming wave of disruption.

Key Data Points

Uber

• Burned through its entire fiscal 2026 AI coding tools budget in just 4 months
• COO questioned the spend's justification

Microsoft

• Revoked developer access to Anthropic's cloud code this month
• Migrating engineers to its internal co-pilot CLI by June 30

Enterprise Cost Crisis

• One consultant cited a client that spent $500 million in a single month after failing to cap employee AI license usage
• AI consultant Ali Ansari bluntly summarized: "AI currently only truly works for coding"

Goldman Sachs Research

• Warns Agentic AI adoption could drive a 24-fold increase in token consumption by 2030
• Reaching 120 quadrillion tokens monthly

Industry Terminology

• "Token maxing": indiscriminate token burn across enterprise AI usage

Hyperscaler Capex

• Four hyperscalers combined: $725 billion capex boom for 2026

Hallucination Impact

• 47% of enterprises make critical decisions based on AI hallucinations
• Annual economic losses: $67.4 billion

Key Insight

This marks the most important turning point for enterprise AI cost management in 2026. AI inference cost structures have become the most critical enterprise strategy challenge.