The Automation Gap: Why Small Businesses Are About to Get Lapped

I was sitting at a resort this past week, lacing up my shoes before sunrise, about to head out for a beach jog. Barely anyone else was awake. The pool chairs were empty. The buffet wasn't open yet. And for about forty minutes, I had the whole shoreline to myself.

It struck me that this is a pretty accurate picture of where we are with AI and automation in small business right now. The opportunity is wide open. The beach is empty. And almost nobody is showing up for it.

Let me explain what I mean.

The $60 Million Wake-Up Call

You've probably heard about the ArriveCAN app — the Canadian government's pandemic-era border tool that reportedly cost taxpayers around $60 million to build. Sixty. Million. Dollars.

I put out a tweet about it recently because I genuinely couldn't stop thinking about it. With the AI tools available today — Claude, GPT, modern no-code platforms — a functional version of that app could realistically be built in an afternoon. Not by a team of contractors billing at government rates. By one person with a laptop and a clear head.

I'm not trying to pile on the government here. The point isn't political. The point is that this is a real illustration of how fast the gap is growing between what's possible with AI and what most organizations — public or private — are actually doing with it.

The tools have lapped the mindset. And for small business owners, that gap is both a warning and an opportunity.

99% Will Be Late

Here's something I believe pretty deeply after years of owning a pharmacy and working with small business operators across different industries: when it comes to adopting AI and automation, roughly 99% of small businesses will be late or slow movers.

That's not a criticism. It's human nature. Small business owners are busy. They're handling payroll, managing staff, dealing with customers, chasing invoices, and trying to get home in time for dinner. Learning a new tool feels like one more thing on a list that never gets shorter.

I get it. I've lived it.

But here's what I keep coming back to: slow adoption of transformative technology doesn't just mean you miss out on efficiency gains. It means you gradually become uncompetitive against the operators who did adapt — and often, you don't even realize it's happening until the gap is too wide to close quickly.

This isn't like being slow to set up a Facebook page in 2012. Automation touches pricing, customer service, inventory, marketing, documentation, hiring, scheduling — the core infrastructure of how a business runs. Falling behind here is a different kind of problem.

The Math That Changed How I Think

A while back I was sketching out a framework — more of a thought experiment, really — about what it would actually take to duplicate yourself through automation.

Here's the rough idea: if it takes roughly 1,000 automations to fully replicate your output and decision-making as a business owner, and you commit to building 25 automations per day, you'd hit that number in 40 days. Forty days to double your effective output. And if you stayed consistent over a full year? You could realistically 10x your value to the market.

Now, I'm not saying those numbers are precise or that every automation is equal. Some take five minutes to set up; others take five hours. But the directional truth in that math is hard to argue with. Automation compounds. Every system you build frees up attention to build the next one. The returns accelerate.

Most business owners I talk to have set up maybe three or four automations — usually something like an email auto-responder or a scheduling tool — and they feel like they've checked the box. They haven't. They've walked onto the beach, dipped a toe in, and called it a swim.

The people who are building seriously right now — stacking automations, connecting their tools, feeding AI into their workflows — they're going to look unrecognizable in two or three years compared to operators who didn't start.

What This Actually Looks Like in Practice

At the pharmacy, we've been working through this slowly and deliberately. It's not glamorous. It's a lot of asking: what task am I doing right now that follows a repeatable pattern? And then: can a system do this instead of a person?

Appointment reminders. Refill follow-ups. Insurance documentation prep. Content for our health blog. Internal staff communications. Inventory alerts.

None of these automations individually is a revelation. But together, they start to add up to something that feels like having an extra person on the team — except that person works at 2 AM and never calls in sick.

The other shift that's helped me is thinking about AI as a thinking partner, not just a task executor. When I'm working through a business decision, I'll often talk it through with Claude or GPT the way I'd talk it through with a trusted advisor. Not to outsource the decision — to pressure-test my thinking. That alone has become one of the more valuable habits I've built in the last year.

The Beach Is Empty — But Not Forever

I came back from that sunrise jog feeling the way I often do after an early morning run: clear-headed, a little proud of myself for getting up, and aware that the rest of the day was going to feel better because of it.

There's a reason so few people run at resorts. It's easier not to. The bed is comfortable, breakfast will be served eventually, and nothing bad happens if you just stay put.

That's where most small businesses are sitting with AI right now. Nothing bad is happening yet. But the people who are already on the beach, already moving — they're building a lead that compounds every single day.

The gap isn't going to announce itself. It's going to show up quietly in your margins, your capacity, your ability to compete on price without sacrificing quality. And by the time it's obvious, the window to close it easily will have already passed.

You don't have to move fast. But you have to start.

The beach is still pretty empty. For now.

Written by Amir Khela