AI Won’t Create the Future. Curious People Will.

Artificial intelligence is becoming incredibly good at answering questions.

Give it a complicated topic and it can explain it. Give it information and it can analyse it. Ask it to compare different ideas and it can often do that in seconds.

That’s impressive, but I think there’s something we’re overlooking.

AI might be getting better at providing answers, but somebody still has to ask the question.

And increasingly, I think the quality of those questions is going to matter more than ever.

Curiosity Has Always Been Behind Innovation

When we look back at major innovations, they often began with somebody questioning something everyone else had accepted.

Why does it have to work this way?

What happens if we combine these two ideas?

Why is this process so complicated?

Could we make this faster, cheaper or more accessible?

Those aren’t particularly technical questions. They’re curious ones.

The person asking them doesn’t necessarily know where they’ll lead. They’re simply unwilling to accept that the current way of doing something is automatically the best way.

I’ve always found that mindset interesting.

Some of the best ideas I’ve encountered didn’t begin with someone saying, “I’ve invented something revolutionary.”

They began with someone saying, “This doesn’t make sense. Surely there’s a better way.”

AI Makes Curiosity More Powerful

This is where I think artificial intelligence becomes genuinely exciting.

Twenty years ago, exploring an unfamiliar subject could take weeks. You might need to find the right books, speak with experts, locate research and slowly build enough knowledge to understand the problem.

Today, you can begin that journey in minutes.

That doesn’t make you an expert. There is an important difference between having access to information and having years of experience in a field.

But it does lower the barrier to curiosity.

If I’m interested in something happening in healthcare, I can start exploring it.

If I want to understand an unfamiliar technology, I can ask questions.

If something happening in agriculture makes me wonder whether an idea from another industry could apply there, I can investigate it.

AI makes it much easier to follow those threads.

And sometimes one question leads somewhere completely unexpected.

Knowing Everything Isn’t the Goal

There’s an understandable temptation with AI to try to know everything.

I don’t think that’s particularly useful.

Nobody needs to become an expert in every industry, and artificial intelligence certainly doesn’t remove the need for doctors, engineers, scientists, investors or other experienced professionals.

What it can do is help us become informed enough to have better conversations with those people.

You can arrive with better questions.

You can understand the terminology.

You can recognise where your knowledge ends and where genuine expertise needs to begin.

That makes collaboration much more interesting.

Rather than expertise disappearing because of AI, I suspect we’re going to find new ways of connecting expertise that previously existed in separate worlds.

Some of the Most Interesting Problems Sit Between Industries

This is something I’ve been thinking about a lot lately.

We tend to organise the world into industries.

Healthcare.

Technology.

Food.

Finance.

Infrastructure.

Energy.

But real-world problems don’t always respect those boundaries.

Food is a good example.

At first glance, food and artificial intelligence might seem like completely different conversations. But start asking questions and the overlap becomes enormous.

Could AI help farmers predict crop conditions?

Could better data reduce food waste?

Could technology improve supply chains?

Could nutrition become more personalised?

Could healthcare data eventually help people make better-informed decisions about what they eat?

Each question opens another door.

You don’t need to know the answer before asking it.

That’s the point.

Curiosity Is Also Behind the Projects We Build

When I look across some of the projects we’re working on, many of them started with fairly simple questions.

With IQ Pitch, the question was essentially: why should a good business idea fail simply because the founder struggled to communicate it effectively?

That question led to thinking about how AI could act as a sounding board before someone walks into an important meeting.

With Satorian Systems, the questions become much broader. Organisations already have enormous amounts of information, so why is it still so difficult for decision-makers to understand what’s actually happening across the organisation?

Again, the interesting part isn’t AI itself.

It’s the problem.

Technology simply gives us new ways of exploring possible solutions.

That’s an important distinction because I don’t think starting with “How can we use AI?” is particularly useful.

I’d rather start with “What doesn’t work particularly well today?”

Then see whether technology can help.

Curiosity Requires Being Comfortable With Not Knowing

I think this is one of the harder parts.

As people become more experienced, there’s pressure to have answers.

Leaders are supposed to know.

Founders are supposed to know.

Investors are supposed to know.

But some of the most productive conversations I’ve had have started with admitting that I don’t understand something.

Then asking someone who does.

There’s nothing particularly sophisticated about that approach, but it works.

AI makes that process easier because there’s now somewhere to begin. You can explore the basic concepts privately, work out what you don’t understand and then have a much better conversation with an expert.

The important thing is remaining willing to change your mind when you learn something new.

Curiosity without that willingness isn’t really curiosity. It’s just looking for evidence that you were right.

The Advantage Is Moving From Answers to Questions

For a long time, knowledge itself created scarcity.

Knowing something difficult gave you an advantage because acquiring that knowledge required time, money or access.

AI is changing that.

Answers are becoming cheaper.

Information is becoming easier to access.

Analysis is becoming faster.

That doesn’t make knowledge worthless. Quite the opposite. But it changes where some of the value sits.

If everyone can access an enormous amount of information, then knowing what to investigate becomes increasingly important.

Which problem deserves attention?

Which assumption should be challenged?

Which two ideas might belong together?

Which piece of information doesn’t fit the pattern?

Those are questions technology can help us explore, but curiosity still has to start the process.

Looking Ahead

There will be extraordinary companies built with artificial intelligence over the next decade.

There will also be plenty of AI products that nobody needs.

The difference won’t always be the sophistication of the technology.

It will often be whether somebody started with a genuinely interesting problem.

That’s why I’m increasingly convinced that curiosity will become one of the most valuable skills in an AI-driven world.

AI can help us research faster, understand unfamiliar subjects and explore possibilities that would previously have taken months.

But it can’t decide what we’re curious about.

It can’t make us care about a problem.

And it can’t replace the instinct to look at something everyone else accepts and ask:

Why does it have to be this way?

AI will give us increasingly powerful tools.

What we choose to explore with them is still up to us.

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