[markus_zhang]

I think AI can and will replace many stakeholder-facing SWE eventually. It's not there yet but I don't see why it can't reach there. On the other hand, it needs very good integration and a complete revamp of human workflow to adapt to AI (hint: a lot easier than making AIs that adapt humans). Even if AI never replaces some roles, the increased productivity means that less humans are needed. The next consulting wave is FAANG pushes internal teams to integrate with AI and then these teams leave to consult other companies in AI integration to get big $$$.

I work as a data engineer, and I'm pretty sure that the current AI is good enough to do around at least 50% of my work. I look around and believe the same applies to my data analyst colleagues as well.

I believe stakeholder-facing engineers are the first to get hit, like data engineers and frontend developers. The reasons are:

- In general their work isn't very technical (it can be, but not common) and often repetitive. There are tons of examples and documentation online.

- They face business stakeholders directly. The communication is not always smooth, so the stakeholders have the incentive to train themselves talking to AI trying to get things done ASAP.

[datadrivenangel]

What's the overlap between AI and low-code tools as far as your workload goes?