David, over at Range Widely, published a recent piece arguing that AI tools have made it easier for us to take on too much work and then produce average results because we can't offer our uninterrupted attention to a select few projects.
I agree.
AI has unlocked speed and new possibilities for many, but it also created this problem of having more work and projects than we can realistically handle.
So, now, it's more important than ever to be clear about your why before taking on another project that feels interesting.
But this doesn't mean we stop experimenting or playing with ideas.
In fact, this is exactly where AI tools are incredibly helpful. We can prototype ideas faster and see if they actually work in the real world as they do in our heads.
The problem appears when we take on another project just because we can, and then our focus ends up stretched too thin, or we end up with an arsenal of dormant projects.
Therefore, experiment all you want, but before committing your time and energy to another demanding project, be clear about why you want to work on it.
If you don't have a clear sense of why you want to pursue a new project, it might not be worth your time and effort.
In Today's Cover: The 113th edition of the Tour de France starts tomorrow from Barcelona. 🏁
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