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As AI token limits become a workplace constraint, companies face a mismatch between traditional time-based work expectations and token-constrained productivity. Workers hitting daily token limits cannot easily resume interrupted AI agent work and lack alternative tasks to fill their time, creating inefficiency and potential alienation. The article raises questions about whether current employment models—which tie compensation to time spent rather than objectives—are equipped to handle this emerging limitation in AI-assisted work.
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