I can't imagine working for one of the frontier models (assuming I was smarter).  It sounds like constant non-stop grinding.  If I were a world class AI researcher I would definitely quiet quit at Meta where nobody seems to expect anything.

It's not the AI tools that are the problem. It's the "peer"-pressure.

I've always been high energy, 200% commitment, and thus always balancing on the edge of burnout. I had to learn though that when in leadership roles, you cannot demand that of those that report to you. It must be drive, not pressure.

Same for your peers. Same for your bot customers.

optimism

Yes. You MUST be a `Certified AI Practitioner`, or we will pay you 1 sat/h instead of 2.

> To correct for this, companies need to adopt an “AI practice,”

Ah, it wouldn't be corpo-land if there wasn't a call for a set of guidelines, and maybe some annually mandatory training.

unboiled

One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.

> ## Summary
>
> One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks. But according to new research, AI tools don’t reduce work, they consistently intensify it: In the study, employees worked at a faster pace, took on a broader scope of tasks, and extended work into more hours of the day, often without being asked to do so. That may sound like a win, but it’s not quite so simple. These changes can be unsustainable, leading to workload creep, cognitive fatigue, burnout, and weakened decision-making. The productivity surge enjoyed at the beginning can give way to lower quality work, turnover, and other problems. To correct for this, companies need to adopt an “AI practice,” or a set of norms and standards around AI use that can include intentional pauses, sequencing work, and adding more human grounding.
>
> [**...read more at Harvard Business Review**](https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it)

SummarySummary