Token Consumption Is a Poor Proxy for Enterprise AI ROI
TechRadar argues that rewarding high AI token consumption, a practice dubbed “tokenmaxxing,” does not establish business value and can encourage inappropriate use. Citing Pulse of Work 2026 research, it reports that 88% of employees say AI benefits them, yet four in five do not use it to its full potential and 60% feel pressured to use it regardless of the task. It recommends measuring quality outcomes, workflow gains, decision quality and optimized model costs instead.
TechRadar’s analysis highlights that enterprise AI adoption should be assessed through quality outcomes and workflow improvements rather than token volume alone.
The early rush to encourage employees to use AI wherever possible led to a new way of measuring productivity based on the consumption of AI tokens, or technically the underlying AI foundation model tokens. Employees who did not use AI were immediately visible through their AI consumption bill, or lack thereof, while high consumption was treated as a positive signal. The number of tokens consumed became a badge of honor.
For a while, more AI usage suggested more productivity and innovation. Some organizations even began treating AI activity as a proxy for employee engagement. This led to the phenomenon of ‘tokenmaxxing’, with the unintended consequence of AI costs growing out of control and raising a more difficult question: what does successful AI adoption actually look like and how do you measure it?
The latest Pulse of Work 2026 research points to the gap between adoption and value. While 88% of employees say AI has benefited them and estimate it saves them an average of 2.3 hours every day, four in five say they are not using it to its full potential and 69% do not fully understand how it applies to their role. Meanwhile, 60% feel pressure to use AI regardless of whether it is the right tool for the task.
#Pulse of Work 2026#Gemini Flash#Claude Haiku#Claude Opus#Claude Fable