The Efficiency Paradox (also known as Jevons Paradox) states a counterintuitive truth: as we make a resource more efficient to use, we end up consuming more of it, not less.
When cars became more fuel-efficient, people didn’t just save gas—they drove further.
When emails made communication faster than letters, we didn’t save time—we just sent hundreds more messages.
Now, AI is making us faster at writing, coding, and creating. But we aren’t working fewer hours. We’re just raising the baseline of what we expect to produce in a day.
The trap of modern productivity is thinking that getting faster at your tasks will finally give you more free time. In reality, it usually just creates a vacuum that gets filled with more work.
The solution? Don’t just optimize for speed.
If you don’t set strict boundaries on your time, efficiency won’t give you freedom—it will just give you more to do. Optimize for what actually matters instead of just trying to clear the queue faster.