Tech's dirty secret has finally exploded into the open: the great data scientist extinction that nobody wants to talk about. Remember when every data scientist with a pulse commanded $300-400K salaries just for knowing what a neural network was? Those days vanished practically overnight.

From 2018 to early 2023, we witnessed what can only be described as a PhD gold rush. Companies frantically hired anyone who could pronounce "TensorFlow," with CEOs approving budgets for 50+ data scientists to do vaguely defined "AI stuff." The reality? Most were doing glorified Excel work, running basic statistical models while using impressive technical jargon to mask the simplicity of their tasks. PhDs abandoned secure academic careers, lured by tech money and promises of "real-world impact" that never materialized.

Then ChatGPT arrived in November 2022, exposing an uncomfortable truth: much of this expensive data science work wasn't actually that complex. Within three months, job postings transformed from requiring advanced degrees and years of PyTorch experience to seeking "familiarity with AI tools" – corporate-speak for "can type prompts into ChatGPT." The human toll has been devastating. Data scientists who restructured their entire lives around these salaries – buying million-dollar homes, taking on massive mortgages – now find themselves competing with 22-year-olds who learned prompt engineering from YouTube tutorials.

The cruelest part? We've seen this pattern before with web developers, mobile developers, and blockchain engineers. New technology emerges, nobody understands it, companies panic-hire specialists at inflated salaries, then eventually find cheaper alternatives, triggering mass layoffs. The system repeatedly fails the very people who built their lives around its empty promises. If you're caught in this collapse, remember: you didn't fail – the system was designed to fail you.