The gap that compounds

Ofcom's most recent numbers say that 54% of UK adults now use AI tools such as ChatGPT, Copilot or Gemini. Two years ago it was 31%. Whatever you think of that, it is one of the fastest adoption curves in the history of consumer technology.

Underneath the headline, the spread is enormous. Around 79% of 16 to 24 year olds use these tools. Around 18% of the over-65s do.

Separately, and from a different body of research, Harvard Business School published a meta-analysis covering 18 studies, 143,008 people and 25 countries. It found that women had 22% lower odds of using generative AI than men. The gap narrowed after ChatGPT launched and has since stabilised at around 16%.

Two gaps. Different datasets, different methods, different researchers. Now consider who is sitting at the intersection of both.

The most valuable customer in the least served position

Women over 50 are, on the available evidence, among the least served people in the consumer AI transition. They are also the cohort that accounts for the largest share of household spending in this country, and that holds roughly three quarters of its financial wealth.

I want to be careful here, because this is the point at which most people writing about this would multiply the two figures together and produce a satisfying number.

An argument that survives scrutiny is worth more than one that sounds better in the room. This one survives scrutiny without the multiplication.

It is a trust problem, not a competence problem

This is the part almost everybody gets backwards, and it is where the money is.

The obvious explanation for lower adoption is that the tools are difficult and older users find them harder. The evidence does not support it. In the UK, 99% of over-50s own connected devices and the over-65 adoption figure has been climbing steeply. Deloitte's consumer research points somewhere else entirely: 41% of women think generative AI meaningfully improves their productivity, against 61% of men, and women report materially lower confidence that AI providers will handle their data responsibly. Part of the reason for that, uncomfortably, is that women experience higher rates of technology-facilitated harassment and have better reasons to be careful.

So the barrier is not "I cannot work out how to use this." It is closer to "I have not been given a reason to trust it, and nobody has explained what happens to what I tell it."

Now look at how AI products are actually marketed. The dominant message is ease. It is simple, it is intuitive, it takes seconds, anyone can do it. That messaging is a confident answer to a question this customer is not asking, and it can read as slightly insulting to someone whose hesitation was never about capability in the first place.

Three things that follow commercially

1. Your brand's first impression is increasingly written by a machine. Half the country uses these tools, and the fastest growth is among older adults. When a 58-year-old woman asks an assistant about your category, something comes back. It might be a competitor. It might be a review from 2019. Almost no brand has looked at what that answer says, and nobody at all is testing it with the phrasing this customer actually uses. It is the cheapest gap on this list to close and the one with the shortest window.
2. Lead with data handling, not ease of use. If hesitancy is about trust, then the highest-converting thing on the page is a plain, specific, unhedged explanation of what happens to her information. Not a privacy policy link. A sentence a human wrote. This costs nothing and almost nobody does it, because the people writing the page were never worried in the first place.
3. The literacy gap is a market, not a deficiency. A large share of this cohort is still outside these tools entirely, and they are the people with the most money to spend. Whoever teaches them, credibly and without condescension, earns the relationship that comes after. Every bank, insurer, retailer and health brand serving this demographic has a version of this opportunity sitting unused.

Why the window is closing

Adoption among older adults in the UK doubled inside two years and is still climbing. The 18% figure for the over-65s will not be 18% for long.

Which means the opportunity here is not permanent. It exists precisely because this cohort is arriving now, unevenly, with real questions and no established loyalties. The brands that meet them at that moment, and answer the question they are actually asking, will own those relationships for a decade. The brands that wait until adoption is universal will be competing on price against everyone else who waited.