What young workers are doing to AI-proof themselves
1–10 of 418 posts
Re: What young workers are doing to AI-proof themselves
#2I'll say invest totally in domain knowledge now. The value of knowing how to invert a binary tree from memory has dropped to approximately zero. Web development as we knew it for the past 20 years is completely dead as an entry level trade. The power is shifting to people with useful knowledge and expertise that isn't about twiddling bits.
Re: What young workers are doing to AI-proof themselves
#3I'll say invest totally in domain knowledge now. The value of knowing how to invert a binary tree from memory has dropped to approximately zero. Web development as we knew it for the past 20 years is completely dead as an entry level trade. The power is shifting to people with useful knowledge and expertise that isn't about twiddling bits.
What do you mean by “domain knowledge”? And how is it a competitive advantage?
Re: What young workers are doing to AI-proof themselves
#4I don’t think kids should be insulating from AI. The examples in this article suggest for example that some people are dropping out of college and going into trade schools. I get that society needs electricians and construction workers and new software graduates are finding it difficult to get jobs. But having had a moderately successful career building software, I tend to think there is a lot of scope for the $40 trillion white collar economy to be disrupted (re-imagined/made more efficient), so still see potential for software engineering demand to stay high over the next decade as the true ramifications of AI plays out. Am I biased/coping? Is this moving faster? Slower? - What should kids be aiming for according to you? Computer Scientist? Biologist? Finance? Construction?
Re: What young workers are doing to AI-proof themselves
#5I'll say invest totally in domain knowledge now. The value of knowing how to invert a binary tree from memory has dropped to approximately zero. Web development as we knew it for the past 20 years is completely dead as an entry level trade. The power is shifting to people with useful knowledge and expertise that isn't about twiddling bits.
What do you mean by “domain knowledge”? And how is it a competitive advantage?
Domain knowledge as in non public aspects of the work you/ your workplace does. The AI tools are very good at whatever is public but very clueless about proprietary domains .Let's say you make CRUD apps about some confidential domain. Now the CRUD skills might be commodity but the confidential domain is even more important.
Re: What young workers are doing to AI-proof themselves
#6I don’t think kids should be insulating from AI. The examples in this article suggest for example that some people are dropping out of college and going into trade schools. I get that society needs electricians and construction workers and new software graduates are finding it difficult to get jobs. But having had a moderately successful career building software, I tend to think there is a lot of scope for the $40 tr…
Even if people assume the worst impacts of LLMs on white collar work, there is simply not enough demand for electricians and plumbers for that to work, right now these professions work only because the number of people going into them is limited.
Re: What young workers are doing to AI-proof themselves
#7I'll say invest totally in domain knowledge now. The value of knowing how to invert a binary tree from memory has dropped to approximately zero. Web development as we knew it for the past 20 years is completely dead as an entry level trade. The power is shifting to people with useful knowledge and expertise that isn't about twiddling bits.
What do you mean by “domain knowledge”? And how is it a competitive advantage?
Pre-LLMs, algorithmic knowledge was used as a proxy for skill difference at interview stage. In the workplace, you could google the implementation details and common gotchas. This was valuable knowledge.
Post-LLMs, the value of this (as differentiator) has dropped to zero. Domain knowledge (also known as business knowledge) is the obvious area to skill up on. It simply means knowledge about the area your organisation is working in. Whether it is yogurt delivery logistics, clothing manufacturing supply chain systems, etc. That's the real differentiator now. Anyone can invert a binary try in 5 minutes using an LLM. But designing a software system knowing well the domain your organisation is in is invaluable.
Re: What young workers are doing to AI-proof themselves
#8I'm somewhat skeptical of this "enter the trades" movement. Actually, I am more skeptical of that statement than I am of LLM's replacing white collar work in general. I think parts of coding are being replaced quickly because they are the parts that don't require discernment. Trades likely contain just as many automatable and just as many discernment parts as white collar work. At this moment in history, the automatable parts are being automated in the knowledge based world. People think the physical world is somehow different, but with world models (along the full spectrum of what that means) the physical world will be just as trainable as the knowledge based world.
tldr; Just like knowledge work, most trade stuff is probably mostly repeated (i.e. very trainable) task with a small amount of taste and discernment applied. The repeated will be trainable, the discernment may be trainable. I don't think the physical world is necessarily any safer than the knowledge world.
Re: What young workers are doing to AI-proof themselves
#9Earlier quoted context omitted.
What do you mean by “domain knowledge”? And how is it a competitive advantage?
Domain knowledge as in non public aspects of the work you/ your workplace does. The AI tools are very good at whatever is public but very clueless about proprietary domains .Let's say you make CRUD apps about some confidential domain. Now the CRUD skills might be commodity but the confidential domain is even more important.
But everyone at the company has that private domain knowledge. The only thing you're bringing to the table that anyone in any other role doesn't offer is the commoditized skill set.
Re: What young workers are doing to AI-proof themselves
#10Earlier quoted context omitted.
What do you mean by “domain knowledge”? And how is it a competitive advantage?
Pre-LLMs, algorithmic knowledge was used as a proxy for skill difference at interview stage. In the workplace, you could google the implementation details and common gotchas. This was valuable knowledge. Post-LLMs, the value of this (as differentiator) has dropped to zero. Domain knowledge (also known as business knowledge) is the obvious area to skill up on. It simply means knowledge about the area your organisation…
Right, bridging the gap of knowledge by getting closer to that of the clerical workers of the company, because pure software knowledge is no longer as valuable. That will probably make your salary closer to theirs, and that'll be a pretty big adjustment.