Tokenmaxxing is over. That’s because it never measured what really counts to see ROI from AI
The trend of 'tokenmaxxing' in AI usage is declining as companies reassess its effectiveness. Many organizations are realizing that tracking token usage does not correlate with meaningful productivity or return on investment. As a result, firms are limiting AI agent usage and questioning the value of their AI spending.
- ▪Tokenmaxxing involved tracking employee token usage to measure AI productivity.
- ▪Companies like Meta and Amazon are pulling back from this practice due to its inefficiencies.
- ▪Executives are struggling to connect token spending with tangible company-wide benefits.
Opening excerpt (first ~120 words) tap to expand
Hello and welcome to Eye on AI. It’s Jeremy here, filling in for Sharon who is on vacation. In this edition…CNN sues Perplexity…IBM and RedHat form $5 billion bug patching project…Snowflake signs a $6 billion deal with AWS…and the White House gives U.S. intelligence agencies $9 billion to build their own AI chip cluster. Just a few weeks ago, it seemed that ‘tokenmaxxing’ was all the rage inside many companies. The idea was: if you wanted to find out which employees were being most innovative in deploying AI agents, you should track their token usage.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Fortune.
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