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I never thought I’d be writing something like this, but here we are.
I was working as a Data Engineer in a mid-sized team of 10 people. Over the past few months, leadership started pushing heavily into “AI-driven automation” — at first it sounded like productivity tools, code assistants, pipeline optimizations, etc.
But it didn’t stop there.
Gradually:
* Repetitive ETL jobs were replaced with AI agents
* Monitoring and debugging pipelines got automated
* Even data validation and transformation logic started being generated dynamically
Last week, I got laid off.
Out of our team of 10, only 3 people remain who now “oversee” the AI systems instead of building things from scratch.
The scariest part? This wasn’t a cost-cutting decision alone. This is a clear strategic shift:
> “Replace Data Engineering work with AI wherever possible.”
They openly said this is just phase 1.
I’m attaching some screenshots (internal discussions / planning docs) for reference.
I’m not posting this for sympathy — I’m posting because I think a lot of people are underestimating how fast this is moving.
If you’re in data, backend, or even software engineering:
* This is not “future risk” anymore
* This is already happening
* And it’s happening quietly inside teams
Now I’m trying to figure out what’s next — whether to adapt, switch roles, or move out of this space entirely.
Would really like to hear:
* Is this happening in your company too?
* Are people seeing similar team reductions?
* What skills are actually safe (if any)?
This feels like a turning point.
TL;DR:My Data Engineering team got cut from 10 to 3 because AI agents took over most of the work. Company plans to replace DE wherever possible. This is real and already happening.