Diginomica: Tokenomics – as AI “bill shock” goes mainstream, the key cost driver becomes task complexity
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How finance leaders can forecast the full AI cost stack, classify spend correctly, and put controls in place before AI scales.
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The tokenomics crisis is real, confirms a new report from Mavvrik, and demands some organizational re-thinking around value derivation and cost management.
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AI budgets in enterprises are increasingly being allocated towards operations rather than training, reflecting maturity in AI spending. However, a significant portion of projects face unexpected costs, which can derail progress. Data from Gartner, Mavvrik, and Deloitte highlight this transition and its associated challenges.
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