Plumbing and electrical work

Maths

Restaurant work

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

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.

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 :(

Critical thinking.

Social skills. Same as it ever was. That beats talents/smarts every time in a corporate environment

small scale farming to get your kids fed

Meta skills: https://share.google/aimode/Fhd3GapqYWJ5vBBXo

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.

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.

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.

Communication and networking - i think we'll see devs expected to bridge to the BA role and deliver based on that. So being able to communicate will become more important

Judgment and domain expertise. AI can write the code, but it can't tell you what's worth building or why the architecture will hurt you in two years.

management and critical thinking.

management - it occured to me that giving instructions to agent is very similar to giving instructions to human employees - even the best of them make mistakes.

i learnt that asking claude code to "investigate for 3 potential root causes" is more effective than "investigate the root cause" in bug fix. this blows my mind as i realize that agent can be lazy, can be careless, and we can give better instruction to prevent that.

another reason why i said this is that giving enough context and defining blast boundary is more efficient than hand-holding/micromanaging and checking every tool call for agents. the management skill for human employees also works here.

critical thinking - you just need to have your judgement on the seemingly solid but actually halluncinated agent bs.