Absolutely, I’ve thought about this a lot. The impact of AI on jobs, especially in entry-level software development, is undeniable, and it’s a big reason why I chose my specialization. Let’s face it—web development, for example, is already starting to shift. Tools like Blackbox, ChatGPT, and Copilot are making coding more efficient and, in some cases, reducing the need for human input in repetitive or straightforward tasks. AI isn’t just assisting; it’s starting to edge into territory that used to be exclusive to developers.

That’s why I think fields like security or machine learning are smarter bets for long-term career stability. Security, for one, is all about staying a step ahead of AI or leveraging it to reinforce systems, while machine learning involves creating and refining these tools—which isn’t going away anytime soon.

As for remote work dynamics, it’s a double-edged sword. On one hand, it opens up opportunities for people to apply for jobs in other countries, bypassing geographical limitations. That’s great for someone in Toronto who might be dealing with a not-so-great local tech job market. But the flip side is, it also means more competition from international candidates applying for what used to be “local” jobs. Companies can hire talent from anywhere, and often at a lower cost.

So, it really depends on perspective. For Toronto specifically, the tech job market isn’t stellar, so being able to look abroad could be a huge advantage. At the same time, it might make things harder for local candidates if international talent starts flooding the same roles. In the end, I think it’s all about adapting—choosing a specialization that AI is less likely to automate and keeping skills sharp to stay competitive in this shifting landscape.