AI adoption is shifting from model obsession and experimentation to increasingly scaled deployments. However, this shift often creates significant challenges in controlling and justifying costs. More importantly, most organizations struggle to realize business value from their investments. At best, they achieve productivity gains, but even those are difficult to quantify with robust metrics. In hyped stakeholder discussions, tokenomics and outcome-based models are often bandied about as the obvious answers to those challenges. To help leaders navigate these challenges, this Expert View examines the demand environment for AI and how organizations contract in an increasingly non-deterministic world. These insights are intended to lay the groundwork for a broader analysis of outcome-based models and tokenomics, to be addressed in subsequent reports.
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