Enterprise AI Shifts from Cost to Efficiency: Measuring Useful Outcomes
MIT Technology Review · 3h ago · 1 min read
What happenedEnterprise AI is transitioning from experimental tools to a foundational business layer, mirroring the shift from discovering electricity to optimizing its use. The focus is moving from the cost of tokens or GPU hours to the efficiency of converting AI capacity into tangible business outcomes.
Why it matters for marketersThe true ROI of enterprise AI lies not in its adoption, but in its efficient utilization. Marketers must now track the 'effective cost per useful outcome' to justify AI investments, moving beyond simple consumption metrics.
Topics: enterprise ai, ai efficiency, ai economics, ai utilization