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Ask HN: What skills are future proof in an AI driven job market?

10•sunny678•1h ago
For developers and non-developers alike: What's worth learning today to stay relevant in an AI first world

Comments

KetoManx64•1h ago
Plumbing and electrical work
Areena_28•12m ago
damm true haha
fabulousman•1h ago
Maths
mykowebhn•1h ago
Restaurant work
num42•1h ago
Metrology, mechanical and materials science engineering, manufacturing and tool engineering, precision engineering, and electrical and electronics engineering, combined with being a generalist and having one specialization in physical or hardware engineering along with computation.

As people often say, matter, energy, and information are the fundamentals of everything. I think we need mathematics, analytic philosophy, the arts and humanities, and physics too. Sorry we need every skill. /s

phillc73•1h ago
Paramedicine and nursing. These roles will adapt and use AI, but because they're still so hands-on, and there's already a shortage of staff in those roles in general, I don't see job cuts there.
sunny678•40m ago
Agree, but can't learn it now- I am in a tech space.
SilentM68•58m ago
Psychology, psychiatry, medical, construction, auto repair, at least in the short term. The jury is still out on the long-term view which is a bit hazy at the moment :(
cantrevealname•34m ago
I agree with construction and auto repair, but why psychology and psychiatry? If there's anything that's perfect for LLMs, it self-diagnosis and self-treatment by chatting with them. Other than prescribing drugs, an AI system could do everything a psychologist or psychiatrist does.

The only significant barrier is that it's not condoned by the medical establishment and by law (which I imagine will indeed take a few years to work around).

zhouzhao•27m ago
Critical thinking.
cal_dent•16m ago
Social skills. Same as it ever was. That beats talents/smarts every time in a corporate environment
ensocode•15m ago
small scale farming to get your kids fed
Ashbt•15m ago
Meta skills: https://share.google/aimode/Fhd3GapqYWJ5vBBXo
Areena_28•12m ago
Judgment in ambiguous situations is the one thing that's held up consistently. AI is good at defined tasks, bad at knowing when the task definition itself is wrong.

Also, deep domain knowledge is the other one..... knowing what good output looks like in your field is something models can't fake convincingly at the edges.

bayarearefugee•10m ago
If LLMs have roughly peaked, then everything is safe except for things that are already being eaten away like translation and call center work.

If they haven't and we have hit the exponential growth mark, nothing is safe and even the temporarily "safe jobs" will also suffer greatly from being crunched on both the supply and demand sides (there will be more labor supply for those jobs as the displaced try to flee to safe jobs, there will be less demand for the output of those jobs because the displaced will no longer have income to pay for those goods or services). And LLMs and robots will eventually come for many of those jobs too, likely at a rate that exceeds people's ability to retrain.

Better hope that either things have peaked, or that we can somehow manage to stop treating all forms of socialism as evil or we're going to see the violent unmaking of modern society in our lifetimes.

alegd•5m ago
knowing how to give AI good context. Thats the skill nobody talks about. I use Claude Code daily and the difference between a lazy prompt and a well structured doc is massive.

also just understanding how the models work. I'm doing an AI masters right now and once you know whats happening under the hood the anxiety disappears.

bottom line: learn it and embrace it.

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