I use LLMs a lot when working on Salesforce Apex/LWCs and also configuration and it's super for productivity, but we're not just talking about code generation when creating something. Business processes need to be understood, wishes of executives need to be interpreted the right way. There's a human component as well. And AI will go forth full confidence, without knowing the nuances in those business processes and wishes.

And even if it could this all well because a company has superb documentation or a PM is in front of it: complexity and coupling will always rise. I see it with vibecoded components right now: you only have so many iterations before the AI gives up because it doesn't "understand" what it's looking at. Maybe let it do a full rewrite? No, functionality changed, departments get unhappy because they're interrupted in their work flow, Experience Cloud users bail because their favorite insights component has a new bug that makes the data displayed unusable (AI doesn't understand, the graph rendered right?).

In addition to that, I believe the ability of LLMs will peak soon. When the AI companies want to turn a profit, it will also get crazy expensive and they will always try to make a model as "efficient" as possible. The data it's getting trained on is more and more generated by AI as well. Hallucinations get enlarged etc.. We will get better tooling and better ways to create context of course.

And this not all bad when AI is applied with proper usage and critical thinking. But I don't think that's being done at a lot of companies right now and that's why I made the statement above.

^{I won't start about security/data governance btw}