@natolambert Scarcity can be an advantage. When compute is harder to access, labs are forced to get better at architecture, training, inference, and deployment efficiency. That discipline may prove more durable than simply having the largest budget.
Only 22% of tech workers fear losing their job to AI. But 51% fear being asked to do more for the same pay. The anxiety is the squeeze, not replacement.
That's the new survey from Lenny Rachitsky and Noam Segal, 5,920 tech professionals. A few numbers that connect to it:
46% fear getting trapped in an unsustainable pace. 41% fear the quality of their work slipping. And the correlation between "AI is taking over parts of my job" and "I'm worried about layoffs" is basically zero.
So the productivity gains are real. 82% say AI makes them measurably better at their job. The problem is where those gains go. Every hour AI saves becomes a choice for leaders: hand the time back to your people, or pocket it as a higher bar.
Burnout just crossed the majority line, from 44.7% to 55.7% in a single year. This is why.
The tools are not the differentiator. What you do with the time they free up is.
#AI #FutureOfWork #Leadership