In the era of AI, why do we feel more exhausted?

In the past, coding was all about "grinding" relentlessly.
When encountering a bug, you could spend an entire afternoon staring at the screen,
troubleshooting, searching, trying, until a flash of inspiration struck.
The moment you fixed it, even if it was just a tiny logical fix, that tangible sense of achievement was enough to make you glow.
Now? Bugs are handed over to AI, solutions come in three minutes, and you just walk away after fixing it.
Sounds great, right? But that’s exactly the beginning of fatigue.
In the past, solving three problems a day, now with AI assistance, I can do ten.
I thought increased efficiency was a good thing, but I realized:
my brain has never been more overloaded.
Between tackling tough problems, zoning out, goofing off, daydreaming—
that was my brain "sneakily" repairing itself.
But now, all those precious moments of white space are filled with new tasks that keep coming.
Efficiency has indeed increased, but the "decision density" within the same amount of time has skyrocketed.
By the end of the day, my brain feels like a squeezed-out sponge.
Even though I haven't done physical labor, I’m so exhausted I just want to collapse.
AI hasn't made us more relaxed; it’s just replaced "relaxation" with "more problems."
Perhaps true efficiency is no longer about solving more problems, but about learning to say: "That’s enough for today." 🫠