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I would suggest young people look into machine learning, that would seem to be promising. And beyond that, cybersecurity. You just have to read the news on any given day to know cybersecurity experts should be in demand for a long, long time. And, of course, data science and analytics.
AI has certainly raised the bar on what is good coding talent. But I'm certain this trend will subside. A similar trend emerged with offshoring US to India and Ukraine.
The reason that failed is iteration lag, not understanding the business case, audience cultural differences, and long term ownership. The latter happens when a company outsources their tech, completes the project, and dissolves the team.
With AI, it is a matter of complexity and comprehension. LLMs can fast track a lot of the boilerplate coding (e.g. CRUD) but they tend to get overwhelmed with anything beyond a small code base.
Designing data structures is more that laying out fields - it's determining relationships, access patterns, and understanding pros and cons of each representation.
If AI hallucinates, who is there to diagnose and repair the resulting issues? Most intelligent devs will scent the code smell and take an exit. Or eat up the cost savings with refactoring the generated code.