A developing concept known as “tokenomics” is being applied to the question of what companies actually get from large-scale artificial intelligence spending. Instead of treating AI investment purely as a cost center, the approach aims to evaluate returns from AI programs by tracking value creation tied to AI initiatives. The reports describe this as a new area of analysis emerging alongside the rapid growth of AI budgets across industries. Supporters argue that conventional financial reporting and performance metrics often fail to connect AI spending with business outcomes, making it difficult for companies to assess whether investments are producing measurable benefits. The concept of tokenomics is presented as a framework intended to quantify and compare the economic value associated with AI-related efforts. While the reporting outlines the rationale for the field and its goal of improving measurement, it does not indicate a single standardized method or agreed-upon metrics. Overall, the story highlights an effort to move from broad AI expenditure announcements to more rigorous evaluation of business impact and return on investment.