You needed developers, designers, analysts, technical writers and project managers. Even a relatively simple application could take months of planning, meetings and development before anyone could use it.

AI is changing that equation.

Today, one person with a clear understanding of a problem can move from an idea to a working prototype remarkably quickly. They can explore designs, write code, test assumptions, prepare documentation and refine the result using tools that weren’t available just a few years ago.

That doesn’t mean one person suddenly possesses every professional skill. It means the distance between thinking and making has become much shorter.

For me, that is the most interesting part of AI.

It’s easy to focus on individual features: generating text, creating images, analysing data or writing code. But the larger change is what happens when those capabilities work together. Ideas that would once have remained in a notebook can now be tested while they’re still fresh.

This creates opportunities for small businesses in particular. Many organisations know where their problems are but assume custom technology will be too expensive or complicated. They continue using spreadsheets, shared inboxes and manual processes because a purpose-built alternative feels out of reach.

AI-assisted development can make those smaller, highly specific solutions viable.

However, speed introduces its own risks. AI can help produce something quickly, but it can’t guarantee that the result is useful, secure or appropriate. A poorly understood problem simply becomes a poorly designed system faster.

Human judgment therefore matters more, not less.

You still need to speak with the people doing the work, understand the existing process and decide which problem is worth solving. You need to challenge the output, test it properly and recognise when the simplest solution doesn’t require AI at all.

I don’t see AI as a replacement for experience. I see it as leverage for experience.

When someone understands technology, business processes and the needs of the people involved, AI gives them an extraordinary ability to turn that understanding into something tangible.

The exciting question is no longer whether one person can build an idea.

It’s whether they’ve chosen the right idea to build.