Imagine two kids.

One just got their first bike… training wheels, wobbly starts, and lots of scraped knees.

The other kid is already riding an adult bike… popping wheelies, flying down hills, comfortable with balance

Now give both of them a high-tech racing bike:

Who’s going to benefit more?

The kid who already knows how to ride.

The racing bike doesn’t magically teach balance.

It amplifies existing skills.

AI in business works exactly the same way.

There’s a popular narrative that AI “levels the playing field.”

In reality, it does the opposite.

It creates divergence.

The companies that already:

…are integrating AI and accelerating.

The companies that:

…are stalling.

Not because AI isn’t available to them.

But because they’re still on training wheels.

I’m seeing it in real time.

Some teams are:

Meanwhile, others are:

Same technology.

Completely different outcomes.

Here’s where it gets interesting.

AI isn’t just a one-time boost… it compounds.

When you automate:

Those gains stack.

And over 12–24 months, the gap between companies that integrate AI thoughtfully and those that don’t gets wider.

This is how two-speed economies form.

Not overnight.

Gradually. Then suddenly.

Here’s the part that should get your attention.

A small, disciplined team that embraces AI well can now compete with mid-sized teams that don’t.

Not because they’re smarter.

Because they’re amplified.

AI gives leverage.

And leverage changes the math of competition.

The lean team with systems and automation?

They’re riding the racing bike.

The bigger team without integration?

Still pedaling with training wheels.

This isn’t a “drop everything and panic” message.

But it is a warning.

The longer you delay integrating AI into:

…the harder it becomes to catch up.

Because the teams experimenting now are building muscle memory.

They’re learning balance.

They’re falling early, when it’s cheaper to fall.

When the next “advanced racing bike” version of AI arrives (and it will) will your team:

The tech will keep improving.

The question is whether your organization improves with it.

AI is not creating equality.

It’s creating acceleration.

The businesses integrating it properly aren’t just moving faster.

They’re compounding.

And in a compounding system, small early advantages turn into massive long-term gaps.

So don’t ask:

“Should we use AI?”

Ask:

“Are we learning how to ride, or waiting until everyone else is already racing?”

Chris thinks hiring is broken. Dave thinks Chris is dead wrong.

Check out the latest episode of the Startup Different Podcast below:

Thanks for reading!
Dave

P.S.

Check out our podcast here!

Check out my book below!