How to think about your time, your attention, and your tools in a world that competes for all three. Methods that hold up under pressure, not just in theory.
Ask, seriously, why a hiring decision or a legal judgment call shouldn’t be fully handed to AI, and most people reach for a capability argument — the tool isn’t smart enough yet, it makes mistakes, it lacks common sense. That framing is a trap, because it implies the answer changes once the technology improves. It…
Every “AI automation guide” seems to promise the same thing: automate more, automate faster, automate everything you possibly can. That advice sounds ambitious and turns out to be exactly backwards for most people trying to get real, sustained value out of these tools. The organizations and professionals actually succeeding with AI automation aren’t the ones…
There’s a version of “AI generalist” that’s genuinely a liability — someone with shallow, scattered knowledge across a dozen domains and real depth in none of them, using AI as a substitute for actually learning anything well. That’s not what the term should mean, and it’s not what the labor data actually rewards either. A…
Ask most people what skill matters most in an AI workplace and you’ll get some version of the same answer: learn to use the tools, get good at prompting, become “AI fluent.” That’s not wrong exactly, but it’s not what the largest employer survey on this exact question actually found. The single most in-demand skill,…
For a couple of years, the answer to “which Jobs AI Is Most Likely to Transform” was mostly speculation dressed up as analysis — theoretical capability scores, expert surveys, confident predictions built on how a model performs on a benchmark rather than how anyone actually uses it at work. That’s changed. Companies building these tools…
The debate about AI and jobs has mostly been fought at the wrong altitude. “Will AI take my job” is the question everyone’s asking, and it’s the wrong one for most established professionals — the data increasingly shows something narrower and more specific. AI isn’t hollowing out knowledge work broadly. It’s hollowing out the bottom…
Most people who abandon weekly planning don’t quit because the habit itself is flawed. They quit because it turned into an hour-long audit of the previous seven days, felt like homework, and got skipped the first time a Sunday got busy. Twenty minutes, done consistently, beats two hours done occasionally almost every time — and…
Turn off the sound, disable vibration, flip it face down — most notification advice stops there, as if silence solves the problem – A Silent Phone. It doesn’t, and the reason why is stranger than it sounds. A phone doesn’t need to buzz, chime, or light up to pull on your attention. Its mere presence,…
