What did you expect? It is just another Medium post. Badum tss. Rage bait.

So, someone still has to orchestrate AI, right? But that doesn't negate that a large majority of people will be replaced. Of course, there will always be one or two that won't. And what about in 15 years? Because the direction in which we are heading is rather inevitable unless AI is stopped.

Why is someone needed to instruct the AI, or orchestrate anything? Isn't that a role that will inevitably be fulfilled by AI, one that's perhaps more focused on this sort of higher-level consideration, without a context polluted with low-level technical detail (i.e., exactly what we expect from tech-lead or management roles today.)

Not to mention the question of if these setups are financially feasible for the consumer of the AI and for the AI provider. It doesn't make that much business sense for a multi-billion dollar operation to fully automate their data engineering if it now depends on OpenAI, Meta or whatever, it's a huge operational liability. If the models go down you lose the data engineering sector entirely, and then you have no one to turn to because the only one who understands the code is the AI you don't even own.

I know companies have taken these operational liabilities with cloud storage and compute, but it's not the same thing as in it's not possible to mitigate. You can have a local, but shorter, backup of your stuff, but you can't have backup engineers

These LLMs are really good at digging up internal docs if you give them access to your knowledge sources with tooling to search and reason in a loop before responding.

Buy asking questions and analyzing requirements of a business in the top level. It'll help AI to design the documentation.