At some point in the last few weeks, you probably read a Reddit thread that ruined your evening.
Someone in your field, or a field close enough to yours, posted about getting laid off “because of AI.” The comments filled up fast. A hundred strangers, none of whom know your company, your manager, your industry, or your actual job description, all weighing in with the same two words: you’re next.
You closed the tab feeling worse than when you opened it. And you still don’t know anything real about your own situation.
That’s the trap. Algorithmic anxiety, the term researchers are now using for this specific flavor of dread, doesn’t spread because AI is definitely coming for your job. It spreads because uncertainty is contagious and Reddit is really, really good at amplifying it. A thread gets traction not because it’s representative, but because it’s dramatic. Nobody upvotes “my job is basically unaffected, business as usual.” Thousands of people upvote “I got replaced overnight.”
The data is messier than the doom.
Zoom out and the picture isn’t nearly as clean as either “AI is taking everything” or “AI is fine, don’t worry.” Some roles are genuinely contracting, early career creative and entry-level technical work is under real pressure in specific pockets. Other sectors are barely touched. Manufacturing job losses have continued, but productivity is up and the causes are tangled with trade policy, not just automation. Plenty of people are quietly using AI tools to do their existing job faster, not losing it to a machine.
In other words: the anxiety is real, the risk is uneven, and almost nobody on a public forum is in a position to tell you which bucket you fall into. They don’t know your company’s roadmap, your manager’s plans, your industry’s actual hiring patterns this quarter, or what’s genuinely changing on the ground where you work. They know their own story, and they’re generalizing from a sample size of one, same as you would, if you’d had a rough week.
Doomscrolling feels like research. It isn’t.
Here’s the uncomfortable part: reading fifty more threads won’t get you closer to an answer. It’ll just get you fifty more anecdotes, most of them from people outside your field, filtered through whatever made the post go viral in the first place. That’s not information. That’s a mood.
What would actually move the needle is boring by comparison: a real conversation with someone who is currently hiring, building, or leading in your specific field. Someone who can tell you, plainly, what’s changing in the roles they’re filling, what skills are becoming more valuable versus less, and whether the panic in your feed matches what’s actually happening in your industry, or whether it’s mostly noise from people two steps removed from it.
A few questions worth asking someone who’d actually know:
What does hiring for my type of role look like right now, honestly?
Which parts of my job are genuinely at risk of being automated in the next 1 to 2 years, and which aren’t going anywhere?
If you were early in my career path today, what would you spend the next six months learning?
Is the anxiety in my industry proportionate to what’s actually happening, or is it ahead of the reality?
None of these are questions a stranger’s Reddit comment can answer for you. They require someone who actually knows the terrain, not someone performing confidence for internet points.
Thirty minutes with a real answer beats thirty threads with none.
This is exactly the gap Sprect exists to close. Instead of piecing together your career risk profile from strangers’ worst days, you can book a private 1:1 video call with someone actually working in your field right now, a hiring manager, a founder, a senior operator who’s watching this shift up close. One structured conversation, thirty minutes, direct answers to your actual situation instead of someone else’s headline.
You’ll still see the scary threads. You just won’t have to build your career decisions on them.