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Tokenomics emerges to measure returns from AI spending
The new approach aims to track the payoff companies are seeking from large, ongoing AI investments.
A new field called tokenomics has emerged as companies try to measure the returns from the money they are pouring into artificial intelligence, according to a Business section explainer from The New York Times.
The reporting frames tokenomics as an effort to quantify what firms are getting in exchange for sustained AI spending, positioning return measurement as a growing priority amid expanding adoption of AI technology.
The New York Times also describes tokenomics as a response to the challenge of evaluating AI investments, as budgets rise and companies look for clearer ways to assess outcomes.