The hard part in programming is understanding the perspective and the paradigm shift, as well as the theory from an intuitive perspective. In many respects that

The hard part in programming is understanding the perspective and the paradigm shift, as well as the theory from an intuitive perspective. In many respects that degree is a gatekept subject, where you are useless outside your very niche specialty. You'd need to take courses in EE, CSE, CS, and at least to Abstract Math from the Math department to have an intuitive understanding of the entire stack. There are impossible problems that cannot be solved by computers, but through changing the structure/requirements we can make many of those problems possible to solve. The problem with AI is it makes the value of labor worthless at the early stages of a generational pipeline of professionals. If there is no economic benefit, the best and brightest leave the field for better returns on investment. If no one enters the beginning, no one makes it to the end. Intermediate professionals in their first decade stop existing, Senior level professionals die off from old age. The only people end up being left are those who cannot pivot, which is the bottom 50-60% who aren't particularly competent but can scrape by if they work alongside competent people. Then there is also the societal failures that this will rapidly accelerate, where production will inevitably cease from chaos, and half the world starves. AI is worse than pandora's box. Its a proverbial devil's pleasure palace, where you get everything you want in the short term, and self-annihilate in the long term (if you fall prey to its initial allure).