A better mental model

What Changes When You Stop Seeing AI as a Tool and Start Seeing It as a Workforce?

People understand AI much faster when they can relate it to hiring a specialist instead of buying technology.

By Spencer Jones · August 1, 2026

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I realized something after talking to businesses about AI over and over again.

People understand AI much faster when they can relate it to hiring a specialist instead of buying technology.

So I’m creating what I call AI Employees. Internally, we call them BizTechs.

They’re not employees. They’re world-class specialists that happen to be powered by AI with humans in the loop.

I also can’t resist naming things inspired by movies.

Meet the specialists

Garry, from Glengarry Glen Ross, handles commission-only cold-lead follow-up. Businesses email their leads to Garry; he texts until they’re warm.

Peter, as in Peter Parker because webs, builds websites. Email him and he builds your website, secures your domain, manages SEO, and sends the Stripe payment link after the initial build is approved.

Penny, as in Moneypenny, is an AI receptionist. She answers missed calls, books appointments, forwards messages, and texts the right people based on the call.

These are modular contractors you can add to your business to grow your business.

There has also been repeated demand for an AI Employee for general contractors that makes outbound calls in bulk, gathers information from subcontractors, confirms availability, collects estimates, and reports everything back automatically via a spreadsheet.

Simple. Understandable. Operational today.

Once I started thinking this way, I stopped seeing AI as a tool. I started seeing AI as a workforce.

The job matters more than the technology

My goal isn’t to sell AI tools. My goal is to make putting an AI specialist to work easier than adopting another piece of technology.

No new dashboard to learn. No giant onboarding project. Less training. Just email, text, or call them exactly the same way you already communicate every day with your team.

The point is to give the repetitive work, the logistics, and the information synthesis to specialists that can handle it consistently, while humans stay focused on the rules, the exceptions, and the relationships that grow the business.

The practical question for an owner becomes much easier:

Not, “Which AI platform should I buy?”

But, “What job do I wish someone reliably owned?”

AI Employees are phase one

I think we’re moving toward a world where every business, and eventually every individual, has a network of AI specialists working alongside them.

AI Employees are phase one of getting businesses comfortable with AI helping them grow outside of a chat window.

Then, getting to the point of having AI run bigger and bigger pieces of their company? Well, that’s phase two.

I’ve spent years designing CRMs, business systems, and technology across dozens of companies. Looking back, I don’t think that experience was preparing me to build technology.

I think it was preparing me to build an operating system that those AI specialists run on.

Related AI Employee: Meet Peter, the Website Employee →

If AI were a specialist instead of technology, what job would you hand it first? Share your answer on LinkedIn → [LinkedIn URL]