Artificial intelligence is reshaping workplace dynamics in major technology companies, but it is also triggering a costly trend among engineers striving to prove productivity.
According to a report, engineers at leading firms such as Meta, OpenAI and Shopify are increasingly competing based on their usage of AI tools. This competition is measured in “tokens” units representing the amount of data processed by AI systems giving rise to a phenomenon termed “tokenmaxxing.”
The trend involves employees running multiple AI tools or agents simultaneously to maximise output. Companies have even begun tracking individual AI usage, with some teams introducing internal leaderboards to rank employees based on token consumption.
While AI was initially expected to enhance efficiency and reduce costs, the growing race to demonstrate productivity has led to a sharp rise in expenses. Reports indicate that some engineers spend thousands of dollars monthly on AI tools, with extreme cases generating bills exceeding $150,000 in a single month.
Industry experts warn that this trend may not be sustainable in the long run. However, the pressure to adopt AI tools remains high, as professionals fear that failing to keep up could negatively impact their careers.
Analysts note that within large tech organisations, rapid and extensive use of AI is increasingly viewed as essential, regardless of the actual quality of output.
The development highlights a paradox in the AI-driven workplace: a technology designed to cut costs is now fuelling a new, expensive competition among employees.
