“Imagine if you could spin up 100 Einsteins to work on a problem.” That’s how Juan, founder of IT Impact Inc., opens this one — and it’s worth sitting with the idea for a second before jumping to the punchline, because the reasoning behind it says a lot about where AI capability is actually headed.
How smart is AI right now, really?
“AI is advancing every day to the point where now it’s as smart as a high school senior. Well, those high school seniors know it all — 4.5 GPA. Yeah, that’s smart.”
That’s Juan’s plain-language way of benchmarking current capability. Not superhuman, not infallible — but a genuinely high-performing generalist. And the direction of travel matters more than the current snapshot.
From generalist to virtual specialist
“…and they’re working on creating a virtual physicist, a virtual mathematician. So when it gets there, and we know it’s going to get there eventually, you’ll be able to apply that kind of virtual doctor-level AI to a problem.”
The shift being described here is from a smart all-purpose assistant to something tuned specifically to reason like a domain expert — a physicist, a mathematician. Juan frames this as inevitable, not speculative: not “if” it gets there, but “when.”
What that replaces: the traditional cost of solving a hard problem
“Normally a firm will have to hire one, two, maybe three scientists to work on a complex issue. That could take them months, if not years.”
This is the baseline Juan is comparing against. Under the old model, tackling a genuinely hard technical or scientific problem meant recruiting scarce, expensive specialist talent and giving that talent a long runway — months or years — before you’d see a resolution.
Now multiply it by 100
“But with the AI doctors, imagine if you can spin up — or start — a hundred Einsteins that are smart as Einstein was, to tackle a problem day in and day out. No rest, no vacation, no sick time, no clocking out at five. Imagine the productivity gains then.”
This is the core idea of the whole piece: it’s not about one AI helper being marginally faster than a human. It’s about running the equivalent of a hundred specialist minds on the same problem simultaneously, continuously, with none of the constraints that limit a human team — no scheduling, no burnout, no time off.
The real shift: one agent to hundreds, working together
“This is AI going from a single agent to hundreds of agents working together to attack a problem, to come up with a solution.”
Juan is explicit that this is the actual transition underway — not one AI assistant getting incrementally smarter, but a move to many AI agents collaborating on the same problem in parallel. That’s a different category of capability than most people picture when they hear “AI at work.”
Sooner rather than later
“So if you are thinking about getting an Einstein to help you out, it might be sooner rather than later.”
Juan’s closing note is a nudge on timing: this isn’t framed as a distant, someday capability. It’s framed as close enough that businesses thinking about it should start thinking about it now.
Ready to start your AI journey?
“Hi, my name is Juan, and we help companies with their AI. You can come to itimpact.com — which is our website — and reach out to us to help you with your AI journey at your firm.”
If the idea of applying serious AI reasoning power to your company’s hardest problems is interesting, IT Impact’s stated role is to help firms figure out that journey — from wherever they’re starting.
Start the conversation with us, reach us at sales@itimpact.com | 773.809.5456
