AI Tokens Could Become the Kilowatt-Hour of the AI Age

 AI Tokens Could Become the Kilowatt-Hour of the AI Age

**AI companies are measuring and billing usage in tokens—and economists are using that data to track the spread of AI through the economy. The question is: will tokens become as universal as the kilowatt-hour?**

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## From Meter to Market: The Token Economy Takes Shape

Earlier this year, OpenAI CEO Sam Altman declared: "We see a future where intelligence is a utility, like electricity or water, and people buy it from us on a meter."  Many other AI companies seem to be betting on a similar future. If that vision actually comes to be, then "AI tokens" may break out of the world of nerdy tech and econ conversations and become a much more familiar part of our lives .

The number of AI tokens businesses and consumers use could even become one of the defining measures of a new industrial age—the AI equivalent of the kilowatt-hour for electricity: the standard way we measure and pay for AI usage .

## What Exactly Is an AI Token?

Think of tokens as the meter running in the background every time you use AI. Every time an AI model reads your prompt, writes an answer, or does a task, that work is measured in tokens. They are the tiny chunks of text and other data that AI models read and generate. In general, the more work a model does, the more tokens it typically processes .

A token is the fundamental unit of AI work. It's a small chunk of data: characters of text, pieces of an image, or a slice of audio that an AI model processes. Applications run on tokens. Every interaction—whether training, inference, or reasoning—is measured in tokens .

## Token Pricing: A New Economic Reality

While AI companies still tend to offer flat-rate subscriptions to average consumers, they're increasingly charging businesses and developers based on the number of tokens they use . At the same time, companies, particularly in the tech sector, have been using AI in more and more of their work. As their AI usage has soared, many businesses have discovered just how expensive token-based pricing can become .

After a period when tech workers were engaged in a kind of AI free-for-all—which some dubbed "tokenmaxxing"—companies like Uber and Amazon have been putting guardrails around AI use and reducing their soaring token bills (which one clever writer at The Information recently dubbed "tokenminimizing") .

## The Token Economy: Measuring AI's Economic Impact

Tokens aren't just the way AI companies measure usage and charge many of their business customers. They also leave behind a kind of digital paper trail that a growing number of economists and other researchers are using to track AI usage and study its economic impact .

In a new working paper, Nicola Borri, Aleh Tsyvinski, and Yukun Liu do basically that. Using data from 380 trillion AI tokens, these economists try to understand how the growth of AI usage is reshaping financial markets. They ask a simple question: as overall AI consumption changes over time, which companies' stock prices tend to rise with it—and which tend to fall? 

The economists analyze the use of 380 trillion AI tokens between January 2024 and April 2026. That represents around 2 percent of monthly global AI usage . They then combine weekly growth in tokens, spending, and active users into a broad measure of AI consumption, which they call the "AI Factor." Next, they estimate which companies' stock returns move most strongly with changes in that factor .

## The AI Premium: Who Benefits?

Not surprisingly, the economists find that as AI usage has grown, financial markets have treated some companies very differently than others. The companies seen as the biggest AI beneficiaries have enjoyed higher stock returns—a pattern the researchers call an "AI premium." More interestingly, they find it's not just tech stocks that appear to earn that premium. Their findings suggest investors expect AI to benefit a wide range of companies and industries across the economy .

"The story of AI is no longer just a Silicon Valley story," Tsyvinski says about their paper's findings. "Financial markets already see Main Street being impacted." 

The economists find that companies whose stock prices were most sensitive to increases in overall AI consumption subsequently earned significantly higher returns. The companies that Wall Street appears to view as the biggest beneficiaries of AI outperformed those viewed as the least likely beneficiaries by about 0.64 percentage points per week—the "AI Premium" described in the paper .

Probably the most interesting of their findings is that the AI premium can be found well beyond the tech world. Markets seem to believe that companies in industries ranging from airlines and cruise lines to utilities, industrial manufacturers, retailers, banks, and even waste management companies could all benefit as AI reshapes the economy . They also find that this "AI premium" is strongest for companies in the United States and Europe, and is much weaker in China and other emerging markets .

## The Future: From Human to Agentic Consumption

The token economy is about to experience a dramatic shift in demand. Two recent reports—one from Goldman Sachs and one from the *South China Morning Post*—highlight the scale of what's coming .

Goldman Sachs estimates that to 2030, consumer-side AI agents could increase global token consumption by a factor of 12, adding roughly 60 quadrillion tokens per month. Meanwhile, enterprise-side AI agents, which are more complex to deploy, could push global token consumption up by a factor of 24 by 2030 . At peak adoption in 2040, Goldman projects this could rise to a factor of 55, with enterprise workloads accounting for over 70% of global token usage .

This shift from human-driven to agentic consumption is the real inflection point. As the *South China Morning Post* reports, the surge in AI use in corporate sectors is fueled by a brutal price war, making AI tokens a new kind of corporate currency .

## Frequently Asked Questions

### Q: What is an AI token?

A token is the fundamental unit of work in AI. Every time an AI model reads your prompt, writes an answer, or does a task, that work is measured in tokens. Tokens are tiny chunks of text, images, or audio that AI models process .

### Q: Why are tokens compared to kilowatt-hours?

Just as kilowatt-hours are used to measure electricity consumption, tokens are the standard way to measure and pay for AI usage. AI companies are increasingly charging businesses based on the number of tokens they use .

### Q: What is the AI Premium?

The AI Premium is a term used by economists to describe the higher stock returns earned by companies seen as the biggest beneficiaries of AI. As AI usage grows, these companies outperform those less likely to benefit from the technology .

### Q: What is tokenmaxxing?

Tokenmaxxing refers to a period when tech workers used AI freely and without constraints, leading to soaring token-based costs. Companies have since shifted to tokenminimizing—putting guardrails on AI use to reduce costs .

### Q: How will AI agents affect token consumption?

AI agents are programs that can autonomously execute multi-step tasks. They consume far more tokens than human users because they can run 24/7 and perform complex operations. Goldman Sachs projects agent-driven demand could increase global token consumption by up to 55 times by 2040 .

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## Conclusion: The Token as the Unit of a New Economy

The rise of AI tokens as the meter of the new economy is a defining development of the AI age. As Sam Altman's vision of "intelligence as a utility" moves closer to reality, the token is becoming the common denominator that reveals what organizations are paying for, how efficiently they are consuming it, and where value is being created .

AI tokens could become a powerful new source of data, allowing researchers to track AI usage in almost real time and study its economic effects with a precision not possible in past technological revolutions .

Whether the token becomes as universal as the kilowatt-hour depends on one question: will we choose to treat intelligence as a meterable utility, or will the vision of a democratized, tokenized AI economy remain a promise unfulfilled?

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## Disclaimer

This article is for informational and educational purposes only and does not constitute financial, investment, or trading advice. The views expressed in this article are those of the author and do not necessarily reflect the views of the organizations mentioned. Market conditions, company performance, and the future development of token-based AI are subject to rapid change. You should consult with a qualified financial advisor before making any investment decisions.