A junior engineer on my team asked me nervously: "Will AutoML make my job obsolete?"

I laughed. Not at them — at the question, because I asked the same thing five years ago.

Here's what actually happened: AutoML made me 10x faster, not 10x less valuable.

AutoGluon, Auto-sklearn, H2O — they're brilliant at the tedious parts. Feature selection. Hyperparameter tuning. Trying 50 model configurations so you don't have to.

But they can't frame the business problem. They can't decide if ML is even the right solution. They can't design the system architecture. They can't evaluate whether the model is fair. They can't explain to stakeholders why the model makes certain predictions.

Smart engineers use AutoML for the boring stuff and spend their freed-up time on problem framing, data quality, architecture decisions, and business alignment.

That's not being replaced. That's being upgraded.

Automate the automatable. Think about the thinkable. That's the whole game.