AI Boosts Developer Output but Drains Mental Energy Faster, Writer Finds

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A software developer writing on DEV Community observed that while AI tools dramatically increased his productivity, they also left him feeling severely mentally exhausted by the end of each workday. He attributes this to the disappearance of natural low-intensity breaks that once spread cognitive load across a full workday, replaced by a near-constant stream of AI-generated results requiring immediate review and decisions. Running multiple AI agents in parallel, he argues, accelerates the consumption of human cognitive resources just as parallel tasks drain an AI model's usage budget faster. A 2026 Harvard Business Review article citing UC Berkeley research supports this pattern, finding that AI tends to intensify workloads rather than reduce them, as people take on more tasks rather than working fewer hours. The developer concludes that AI scales the volume of work a person can handle, but does not expand the underlying human capacity needed to manage it.

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