[StefanWestfal]

A possibility, and I think the way we work will evolve as well. But coming from a more "numerical" background, I can imagine a different route. Twenty years or longer ago, people who wanted to process a larger amount of data needed to understand low-level details, compilers, C/C++/Fortran, mathematical details, and so on. Today, we have JAX, scikit-learn, and many more tools. But these tools did not make the old 'numerical' people jobless; instead, their jobs evolved. Today, we have more data scientists than ever. You can create your own app faster than years ago, including hosting, persistent storage, load balancing, ... And again, we have more web developers than ever. The same goes for jobs like DevOps and other jobs that I probably don't even know. The level of abstraction got higher as you better now what the algorithm is doing but you do not need to implement it again. The point is the field will evolve, and right now, it may be the biggest jump ever, but that does not mean jobs will go away. We might end up in a situation like self-driving, where we are really close but still missing the last bit and need human intervention. I hope LLMs will solve the tasks that have been solved many times before, like bootstrapping a CRUD app, and we can focus on the edge cases and niche problems.