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● Covered by 1 source · 1 reportLow impact1 negative

AI-driven productivity can lead to burnout from excessive side projects

🔄 Updated 85d ago
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Key points

  • AI increases task completion speed by 2-100x.
  • Increased efficiency leads to taking on numerous side projects.
  • Managing many projects creates new responsibilities and burnout.
  • Focusing on fewer, better tasks is recommended over expanding horizontally.

The Paradox of AI Productivity

AI tools significantly accelerate task completion, with some reporting efficiency gains of 2 to 100 times. This increased productivity, however, has not eliminated burnout as might be expected. Instead, it has created a new challenge where individuals use their newfound capacity to engage in an excessive number of side projects.

The Rise of "Make-Work"

Many tech professionals, previously constrained by time, now find themselves with the ability to pursue numerous shelved ideas. This leads to a proliferation of "proof of concept" projects, each becoming an open loop and a new responsibility. This phenomenon is described as "make-work," where work is created chiefly to keep one busy, despite the initial enjoyment it might bring.

The Burnout Cycle

The author experienced this firsthand, accumulating around 40 side projects, which eventually led to feelings of burnout. The human capacity for sustained high-speed operation is limited, and attempting to manage too many concurrent projects, even with AI assistance, results in mental fatigue and stress. This contradicts the initial expectation that AI would reduce workload and burnout.

Refocusing AI's Role

The core issue is how AI is utilized. Instead of using AI to expand the quantity of tasks or projects (horizontal expansion), a more effective strategy involves using AI to deepen engagement and progress on a smaller, more focused set of initiatives. This approach aligns with principles of essentialism, advocating for doing "less, but better" in an AI-augmented environment.

✨ This summary was generated by AI from the outlets' reporting listed below. It is not independently verified and may contain errors — check the original sources. How BrevFeed works →

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Reporting from

The increased efficiency provided by AI tools can paradoxically lead to burnout, as individuals use the extra capacity to take on too many side projects. This phenomenon, termed "make-work," results from attempting to do "all the things" rather than focusing on fewer, more impactful tasks. The author suggests that AI should be used to deepen focus on existing projects, not to expand the number of commitments.