Since tokenmaxxing is the wrong metric for AI ROI, what is the right one? (www.techradar.com)

The article critiques the prevalent practice of measuring AI adoption through the metric of token consumption, termed "tokenmaxxing." Initially, high token usage was viewed positively, reflecting employee engagement and productivity, but this approach has led to soaring AI costs and highlighted a disconnect between AI utilization and actual business value. Research indicates that while 88% of employees report benefits from AI, many do not leverage its full potential, raising questions about how successful AI adoption should be measured beyond mere usage. To foster meaningful AI integration, organizations must shift from token consumption to evaluating the quality of outcomes generated by AI systems. This requires structured workflows that reduce friction while ensuring that AI tools are appropriately applied. Emphasis should be placed on training employees to discern when AI should be used, reviewing its outputs critically, and understanding the implications of their AI interactions. A cultural shift towards clarity, confidence, and role-specific training will enable teams to harness AI effectively, ultimately driving productivity and delivering real ROI rather than merely inflating token counts.