AI tokens could become the standard unit for measuring—and paying for—artificial intelligence, much like kilowatt-hours track electricity usage. A new study analyzing 380 trillion tokens reveals how this metric is already reshaping financial markets and economic research.
How AI Tokens Work as a Digital Utility Meter
Tokens represent the basic units AI models process when generating responses or performing tasks. Each prompt, answer, or data analysis consumes tokens, which companies like OpenAI and Anthropic use to bill business customers. While consumers often pay flat subscription fees, enterprises face rising costs as token-based pricing scales with usage.
Recent trends show companies tightening AI spending after a period of unrestrained use dubbed "tokenmaxxing." Tech giants including Uber and Amazon have implemented controls to curb soaring token bills, a practice now called "tokenminimizing." This shift reflects the growing financial weight of token-based pricing in corporate budgets.
Economists Use Token Data to Track AI's Economic Footprint
A working paper by economists Nicola Borri, Aleh Tsyvinski, and Yukun Liu leverages OpenRouter data to study AI's market impact. Their analysis of 380 trillion tokens from January 2024 to April 2026 reveals an "AI premium"—stocks of companies perceived as AI beneficiaries outperform others by 0.64 percentage points weekly.
The findings extend beyond tech: industries from airlines to waste management show AI sensitivity. "The story of AI is no longer just a Silicon Valley story," Tsyvinski notes. "Financial markets already see Main Street being impacted." The study identifies top S&P 500 beneficiaries (AppLovin, Carvana) and potential losers (Moderna, Estée Lauder).
Limitations and Future Research Directions
The research relies on OpenRouter's platform, which aggregates AI models but may skew toward cost-conscious, sophisticated users. Key caveats include the paper's pre-peer-review status and the speculative nature of market expectations. Still, the approach offers a real-time alternative to traditional economic indicators.
As AI adoption grows, token data could provide unprecedented visibility into the technology's economic effects. Researchers caution against treating current stock movements as investment advice—but the methodology points to a new era of data-driven AI analysis.
