Not every bad job feels bad. Some just slowly drain ambition while paying the bills.
No one warns you that growth often sounds like silence.
AI didn’t eliminate data science... it just turned senior scientists into full-time reviewers.
When a company says AI “eliminated roles,” investors hear margin expansion. Reality is usually more complicated.
If revenue can still be rewritten in reports, your governance isn’t protecting anything.
Standardizing KPIs in the semantic model should have ended the debate. It didn’t.
The joke stopped being funny when the work started changing.
Sure, your model still works but the reasons it worked in the first place might be long gone.
Everything still works, except everyone’s trust in the numbers.
Everything still runs, but now everyone’s second-guessing the numbers.
AI’s not the problem. The real problem is how we talk about and measure AI productivity.
The models aren’t the problem, but the way companies deploy AI is.
