Everyone Is Using AI. Very Few Are Actually Investing in It.

The first group uses AI for convenience.

They ask questions.

Rewrite an email.

Generate an occasional image.

Try a new tool because everyone is talking about it.

For them, free AI is often more than enough.

Then there is another, much smaller group.

They aren't simply using AI.

They're building with it.

They are creating content, automating workflows, coding products, producing videos, designing campaigns and running businesses.

And this group behaves very differently.

According to the figures cited in the report, the biggest 1% of AI payers account for 19.5% of consumer AI spending, averaging around US$903 per month.

The typical paying user?

Around US$25 per month.

That is an enormous gap.

And it tells us something about where AI may be heading.

It may be:

AI consumers vs AI creators.

A consumer asks:

"What can AI do for me?"

A creator asks:

"What can I build with AI?"

That difference matters.

If AI helps you save five minutes writing an email, paying for multiple subscriptions probably doesn't make sense.

But if AI helps you create 30 pieces of content, produce a marketing video, build a website, automate customer enquiries or generate leads?

Suddenly the calculation changes.

The question is no longer:

"Why should I pay $30 for another AI tool?"

It becomes:

"Can this $30 tool help me create $300, $3,000 or more in value?"

That is a completely different way of looking at AI.

There is also an interesting pattern among Singapore startups.

The average startup in the cited data was already using 1.87 AI platforms, while the number using three or more AI tools had more than doubled within a year.

That makes sense.

Businesses don't necessarily need one AI that does everything.

They may use one tool for reasoning, another for coding, another for video, another for design and another for automation.

I see the same principle when working with AI for content.

One tool might help you develop the idea.

Another creates the visual.

Another generates the video.

Another produces a digital avatar.

Another edits the final content.

The value isn't necessarily in finding the best AI.

The real skill is knowing how to connect the right tools to produce an outcome.

A year or two ago, knowing how to prompt ChatGPT felt advanced.

Today, that is quickly becoming basic digital literacy.

The next level isn't learning hundreds of prompts.

It's learning how to think in AI workflows.

Start with the outcome.

What are you trying to achieve?

Then ask:

What part should I do?

What part should AI do?

Which AI should do it?

And how do I connect everything together?

That is far more valuable than simply knowing how to use one platform.

This is important.

Free AI isn't "bad AI."

For many people, it is genuinely enough.

You shouldn't subscribe to ten platforms just because everyone online is recommending them.

Pay when the tool gives you a measurable advantage:

It saves meaningful time.

It improves the quality of your work.

It gives you capabilities you couldn't otherwise access.

It helps you create revenue.

Otherwise, stay on the free version.

But there is one thing I would be careful about:

Don't build your entire business around something you don't control.

Free tiers can change.

Credit limits can change.

Models can change.

Features can disappear or move behind a paywall.

The cheapest tool isn't always the one with the lowest subscription fee.

Sometimes the most expensive decision is building an entire workflow around a platform — and discovering later that you can't operate without it.

It will belong to the person who knows what to do with them.

We're entering a stage where access to AI itself is becoming ordinary.

Millions of people can open the same chatbot.

Millions can generate an image.

Millions can ask AI to write a caption.

So access alone isn't much of an advantage anymore.

Execution is.

Knowing what to create.

Knowing which tools to combine.

Knowing what should remain human.

And most importantly, knowing how to turn AI output into something people actually want.

So perhaps the more useful question isn't:

"Do you pay for AI?"

It is:

"Is AI just something you use — or is it helping you build something valuable?"

That is where the real difference begins.