How many hours does AI actually save per employee?

The numbers nobody is selling you

Two studies matter here because neither one is trying to sell you software.

The Federal Reserve Bank of St. Louis surveyed American workers in 2024 on generative AI use. People who use it at work save about 5.4% of their hours, which is roughly 2.2 hours a week on a 40-hour schedule. Across the whole workforce, including everyone who never touches it, the savings drop to 1.4%, a bit over half an hour a week.

Microsoft tracked 1,300 Copilot users for 11 weeks. Average saving: about 11 minutes a day, call it 55 minutes a week. Two-thirds said it gave them more time for higher-value work.

So the honest range is one to two hours a week per person who uses it, and the average team gets a fraction of that because most of the team doesn't use it for anything real. If you remember one thing, remember that the gap between 2.2 hours and 0.5 hours is not the software. It's whether anyone set the work up so the software gets used.

The multiplier is the team

Here's why this matters more for a business than for a person. Time saved per employee is small. Time saved per employee times employees is not.

Take a 10-person business in Oklahoma City. Fully loaded, the average employee there runs about $40 an hour once you add taxes, insurance, and the desk they sit at.

Same ten people. The only thing that changed between the first row and the last is whether the whole team actually uses what got built. That's the entire job of a good rollout, and it's why we price the AI Concierge by team size: the value scales with headcount and the price should too.

What the hours are made of

At our free office hours in Stillwater, the same tasks come up every single week. They're boring, which is the point. Boring is automatable.

• Re-typing. The landscaper who spent two hours a night typing up the day's jobs. Now it's one photo.
• Follow-ups. Quotes that went out and never got chased. Invoices that never got a reminder.
• Scheduling. A 90-minute monthly schedule that became a five-minute review.
• Paperwork with a deadline. Membership freezes, cancellations, onboarding packets. The gym that runs it while the owner sleeps.
• Answering the same question. Hours, pricing, "did you get my form," over and over.

None of those are glamorous. All of them add up to the hour a week that makes the table above work.

Why the owner's hour breaks the math in a good way

Everything above uses an average wage. The owner's hour isn't average. As we put it in our talks, your time is worth $100, $200, $500 an hour when you're doing the thing you started the business for, and you're spending it on work worth $15 an hour. You wouldn't hire someone to do that work. They'd quit. You won't quit. You own the place.

So when a Solo client gets four hours a week back, the spreadsheet says $640 a month. The truth is closer to whatever a new customer is worth to you, because that's what those hours turn into. We don't put that number in a table because it's yours, not ours.

Measure your own team in five minutes

Paste this into the AI you already use:

I want to estimate how much time my team could save with AI. Ask me, one at a time: how many people work here, roughly what each one earns per hour, and the three most repetitive tasks each person does in a week with a rough time for each. Then build me a table showing hours per month spent on those tasks, what they cost fully loaded (multiply wages by 1.3), and which three tasks to automate first based on time and how repetitive they are. Keep it plain and skip the jargon.

Bring the result to office hours. That's usually where the first one gets automated on the spot.