notes from the internet, and from us
what people say about unlearning skills in the age of AI
The same questions keep coming up in forums and comment sections. These are written in that spirit: honest, practical, human.
unlearning · identity
How to unlearn a skill AI has replaced without feeling like you wasted years
A recurring theme in community threads: "I spent ten years getting good at this, and now a tool does it in seconds." The first feeling is usually grief, not strategy. That's normal, and it helps to name it before doing anything else.
Here's the reframe many people land on: the years weren't wasted, the output got cheap. You still carry taste, judgement about what "good" looks like, and the habit of finishing things. What you can drop is the mechanical part of the craft.
Unlearning isn't erasing memory. It's ending the maintenance: no more daily practice, no more building your self-worth on it, no more reading news about it at midnight. Write down what the skill gave you, keep those lessons, let the routine go.
reskilling · burnout
"I reskill, AI catches up, repeat": how to stop feeling like Sisyphus
One of the most honest worries people share: what if I retrain, and in four or five years I'm displaced again? Some compare it to pushing a boulder uphill forever.
The way out isn't a magic safe skill. It's changing what you're building. Tools change fast, but slower things compound: domain knowledge, trust with other people, the ability to explain and decide, and the habit of learning itself. Pick a skill that sits next to those, not a pure tool trick.
Also, make smaller bets. One skill, ninety days, a real project at the end. If it stops mattering, you lost a season, not a decade.
obsolete skills · nostalgia
Skills humans learned that nobody needs anymore (and the ones people don't regret)
Ask people which skills they mastered that the world moved past and you get a wonderful list: developing film in a darkroom, memorising phone numbers and routes, fixing dial-up, typing shorthand, hand-drawing technical diagrams, writing repetitive code line by line.
The pattern is telling. People rarely regret the skill itself. They regret how long they clung to it, or the fear that they'd be nothing without it. The darkroom photographer often becomes the person with the best eye for light.
A useful test: if the skill vanished tomorrow, which part would you still want? Keep that part. Release the rest.
exercise · focus
The Stop / Keep / Start audit: a 30-minute unlearn exercise
Take one area of your work or life. Write everything you do in it, then sort:
Stop: busywork and habits a tool can do, or that nobody values anymore.
Keep: judgement, relationships, craft you enjoy that still matters.
Start: one new skill that builds on your Keep list.
Limit Start to one item. That's the hard part, and the whole point of a focus approach. Then give it fifteen to twenty-five minutes a day and put a review in your calendar for thirty days out. This is the loop the Unlearn Skill app is built around.
AI · learning
Should you "learn AI" right now? Why panic-learning backfires
Every time a big AI demo goes viral, someone posts the same fear: if I don't learn AI immediately I'll be obsolete next year. Replies usually split into "you're fine, know the basics" and "everyone's doing AI now, so differentiate."
Both have a point. Knowing what AI tools can and can't do is useful for almost everyone. Going all in on a degree or a stack of courses out of fear is different, and often ends in shallow knowledge and burnout.
A calmer plan: learn how to use AI inside your field, keep building domain knowledge so you can judge the output, and treat "learning AI" as one focused goal, not your whole personality.
job loss · career change
I lost my job to automation: what should I learn first?
If you've just been laid off or replaced, learning isn't step one. Stabilise first: money runway, sleep, telling a few people. Then choose a direction.
People who bounce back tend to do a short skills audit, talk to five people who do the work they want, and pick one skill with visible demand near their existing experience. Not a total reinvention, an adjacent move.
Then comes the part nobody mentions: stop feeding the old identity. Update the CV, retire the old pitch, and give the new path a fixed ninety days of daily focus before judging it.
These are original editorial pieces inspired by common themes in public discussions about AI, jobs and skills.