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People are being encouraged to outsource their work to AI as early as possible. Writing, thinking, structure, admin. The promise is speed and leverage, especially if you’re working alone. In practice, a lot of that work turns into something else entirely: briefing, correcting, iterating, and managing outputs that never quite land. This video looks at why using AI can sometimes take longer than doing the work yourself. Not because the tools are broken, but because delegation has a cost that often gets ignored. Some tasks benefit from systems. Others rely on judgement, taste, and familiarity, and slow down once another layer is introduced. I talk through where AI genuinely saves time, where it creates friction, and how to tell the difference before you outsource by default. This is about being selective, not sceptical, and paying attention to what kind of work you’re actually doing. If you’ve felt busier rather than freer after adopting AI tools, this will probably sound familiar. ⸻ outsourcing to AI AI productivity using AI at work AI workflow AI and creativity AI delegation AI for solo creators AI for writers AI management overhead prompt iteration AI efficiency knowledge work creative judgement systems vs judgement working with AI AI tools explained productivity without burnout Subscriber count: 14