One of the biggest mistakes we see:
Hiring someone because they “know AI.”
Knowing AI tools is one thing.
Knowing where AI can actually save your business time or money is another.
At 24, I became CEO of a funeral startup.
We raised $2M and failed.
I’d never lost anyone close to me. I was building for a customer I didn’t understand.
@scale_army_ was the opposite.
I’d hired international talent dozens of times. I knew the problems because I had them myself.
Product-market fit matters.
Founder-market fit comes first.
“We need someone who can do everything.”
Translation: You probably need a team.
One person can be incredibly talented.
They still shouldn’t have to be your marketer, designer, SDR, ops manager, customer support rep, and AI specialist all at once.
Hire the person. Build the team.
We fired our client.
Not because our talent wasn't performing.
The opposite.
They were some of the best people we'd placed.
But they were being yelled at multiple times a week, barely trained, and constantly put in an environment that made success almost impossible.
Eventually, we ended the relationship and moved as many of the great people as we could to other clients.
Because here's the thing:
If you treat nearshore talent like low-wage task doers you expect to replace, the good ones will leave. And they should.
Great talent isn't disposable.
And hiring cheaper talent doesn't mean you can treat them cheaply.
The best talent still expects a great working environment.
The most valuable AI hires won't always be the people who can write the most code. Sometimes they're the people who understand the business problem well enough to know what should be automated in the first place.
Hiring AI talent in 2026? Here's what companies are actually paying across different regions and where the biggest savings opportunities are, without sacrificing quality.
Full salary guide available now: https://t.co/tCQ46Kj6XM