Ali Rainbow

Research brief, reviewed quarterly

The Gap

Everything I have been able to verify about the size of the 50+ women's market, the advertising deficit against it, and the AI adoption gap that is quietly making the deficit worse. UK figures lead, with US comparisons where they add something. Sourced, dated, updated when the numbers move.

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Before this page goes live: every figure below should be traced to its primary report rather than to the trade-press article that summarised it. Section 5 says which figure to use where two conflict, and which sources to corroborate before quoting. Read that first.

1. The money

The UK numbers are more striking than the American ones, and they are the ones that matter in a London boardroom.

54%

Over-50s account for roughly 54% of total UK household consumer spending, around £376 billion a year. They are about a third of the population and hold something in the region of three quarters of the nation's financial wealth.

The growth story is better still. Over the last decade, spending by the over-50s grew an average of 4.4% a year, faster than any other age group in the country. This is not a segment being managed for decline. It is the fastest-growing part of the consumer economy, and it is being planned against as though it were a rounding error.

Reported scale of the 50+ market, UK and US
MeasureFigureMarketAttributed to
Share of household consumer spending, 50+~54%UKECI Partners; Retail Week
Annual spend, 50+ ("the grey pound")~£376bnUKECI Partners
Share of national financial wealth, 50+~75%UKECI Partners; Ipsos
Annual growth in 50+ spending, past decade4.4% a year, fastest of any groupUKECI Partners
Annual economic activity, 50+~$8.3 trillionUSStanford Center on Longevity
Share of consumer spending, women 50+27%USAARP lineage
Investable wealth held by women 50+~two thirds; over $15tn within 5 yearsUSAARP / MediaPost
Global menopause market~$17.8bn (2024) rising to ~$24–29bn (2030–34)GlobalGrand View Research; PwC

The menopause line matters beyond its own category. It is the clearest recent proof that this consumer will spend enthusiastically when a brand addresses her directly and without euphemism. A quarter of large US employers now offer menopause benefits, against four percent in 2023. The demand was always there. What changed was somebody finally naming it.

2. The advertising deficit

This is the part that should worry a marketing director, because it is a straightforward mispricing of attention.

The UK evidence

  • Over-55s account for 65% of TV viewing impressions but appear in only 23% of TV adverts. Same screen, same households, a third of the representation.
  • 78% of over-50s say they feel under-represented or misrepresented by advertising (Gransnet and Mumsnet, 1,028 respondents).
  • Globally, only 4% of people shown in advertising are over 60, and just 1% appear in professional or leadership roles (CreativeX).
62% of over-50s believe they are ignored because advertisers are simply too young to understand them.

That last figure is the one I would put in front of a board, because the customer has diagnosed the problem herself, and she has diagnosed it correctly. She is not saying the advertising is bad. She is saying it was made by people who do not know her. Section 4 shows she is right.

The US comparison

  • Only 3 to 4% of advertising spend is directed at women over 50, against roughly 40% of consumer spending controlled by the over-55s.
  • 5 to 10% of marketing budgets go to the 50+ audience overall. Around 15% of digital advertising.
  • Only 3% of adults over 50 say they feel "seen" in advertising.
  • 53% of Boomer women say they feel overlooked by advertising because of their age.
Share of the market against share of the advertising Over-55s are 65 percent of UK TV viewing impressions and 23 percent of TV adverts. Over-50s are 54 percent of household spending and 6.2 percent of the advertising workforce. Over-55s, UK TV of viewing impressions 65% of TV adverts 23% Over-50s, UK of household spending 54% of the ad workforce 6.2%
Two different measures, the same shape: this audience holds the attention and the money, and receives neither the advertising nor the practitioners.

Reach versus recognition

Almost every figure above describes a reach problem, and reach problems get solved by moving budget. Two of them do not. The 78% who feel misrepresented and the 3% who feel seen describe a recognition problem, and recognition does not respond to spend at all. It responds to whether the people making the work understand the person receiving it.

That distinction is the whole basis of my practice, and it is why the answer to this is rarely "buy more impressions against a 55+ bracket".

3. The AI gap, which compounds

Two separate adoption gaps sit on top of each other here. The interaction between them is where the commercial opportunity is, and almost nobody is working it.

By age (UK, Ofcom)

  • 54% of UK adults now use AI tools such as ChatGPT, Copilot or Gemini, up from 31% in 2024. The national picture changed in about eighteen months.
  • But adoption runs from 79% of 16 to 24 year olds down to roughly 18% of the over-65s.
  • US data points the same way: Boomer usage around 45% against 76% for Gen Z, with roughly half of Boomers not using AI at all. Adoption among older adults there more than doubled in a single year.
  • 99% of US adults 50+ own at least one connected device, averaging seven each. Infrastructure is not the constraint. Nor, at these growth rates, is willingness.

By gender (international)

  • Harvard Business School's meta-analysis (18 studies, 143,008 people, 25 countries) found women had 22% lower odds of using generative AI than men.
  • Weighted adoption: 47.8% of men against 39.3% of women. The relative gap narrowed after ChatGPT launched but has stabilised near 16% since early 2025.
  • Deloitte: 34% of women using generative AI engage daily against 43% of men, and 41% of women think it meaningfully improves their productivity, against 61% of men.
  • The driver is trust, not aptitude. Women report materially lower confidence that AI providers will handle their data safely, in part because women experience higher rates of technology-facilitated harassment.

An honest limit on this argument. Nobody has published a clean interaction term for age and gender together, so I cannot tell you the precise adoption rate for British women over 50. The two gaps point the same direction and the segment is plainly among the least served, but do not present a multiplied figure as though it were measured. If a client asks for that number, the correct answer is that it has not been established, and that establishing it for their category is a piece of work worth commissioning.

Why this is a marketing problem and not an IT one

Three consequences follow, and each is billable work:

  • Discovery is moving to AI answers faster than this segment is. Half the country now uses these tools, and older adults are the fastest-growing part of that curve. If your brand is absent from what the assistants say, you are absent from a rising share of this customer's research, and nobody is auditing that for this demographic specifically.
  • Trust-led onboarding beats feature-led onboarding. If the hesitancy is about data rather than difficulty, "it's easy to use" answers a question she is not asking. "Here is exactly what happens to your information" answers the one she is. Most AI product marketing has this precisely backwards for this audience.
  • The literacy gap is a market, not a deficiency. A large part of this cohort is still outside the tools. Whoever teaches them, credibly and without condescension, earns the relationship that follows.

4. Why marketing teams keep missing it

Not malice. Structure. You cannot intuit a customer you have never been, and the UK industry has almost nobody who has been her.

6.2%

Just 6.2% of the UK advertising workforce is aged 50 or over, against 32% of the working population. The average age in the industry is 33.9. Those are the IPA's own census figures, not a critic's estimate.

Age composition of the marketing and advertising workforce
MeasureFigureMarket
Advertising workforce aged 50+6.2%UK (IPA census)
Working population aged 50+32%UK
Average age, industry employee33.9UK (IPA census)
Marketers aged under 4579%UK (Marketing Week)
Over-50s in finance / medicine / science / law22% / 28% / 30% / 35%UK
Median age, agency manager37US
Average age, agency creative28US
Agree the industry is ageist79%UK industry survey
Have personally experienced ageism in the industry32%UK industry survey

Read section 2 and section 4 together and they explain each other. A discipline in which 6.2% of practitioners are over fifty will systematically under-serve the cohort that controls half the household spending, and it will do so while believing itself to be data-led. Every focus group in the country is filtered through the person who wrote the discussion guide.

Which is exactly what the 62% told us. They are not complaining about creative quality. They have correctly identified a staffing problem and are experiencing it as an advertising one.

5. Which figures to use

I would rather publish the weak points than have a prospect's analyst find them. Three things to settle before any of this goes into a pitch.

Lead with the UK figures

For a British client, the 54% of household spending and the IPA's 6.2% are far stronger than anything in the American data. They are domestic, they are recent, and the IPA figure comes from the industry's own trade body, which makes it very hard for anyone in the room to dismiss. Use the US numbers as corroboration, not as the argument.

Where numbers conflict, use the conservative one

Two figures circulate for US women over 50: either 27% or "about a third" of consumer spending. Both trace to the same underlying lineage, so the second is not independent confirmation of the first. Use 27%. A conservative number that survives scrutiny is worth more than a larger one that invites a challenge, and the argument does not need the extra six points.

Check who is publishing before you quote it

Several of the US spending figures originate with AARP, which sells advertising aimed at people over 50 and therefore benefits commercially when this market is described as large and neglected.

That does not make the research wrong, and the underlying work is generally sound. What it means is that a sceptical finance director can wave the number away as marketing from a media owner, and you will have lost the room over provenance rather than substance. Before a figure anchors a pitch, find the same claim somewhere with no stake in the answer: ONS data, the Bureau of Labor Statistics Consumer Expenditure Survey, or Stanford's longevity research.

The same test applied honestly to the UK data: the IPA is the industry's trade body reporting unflattering figures about its own members, which if anything strengthens it. ECI Partners is a private equity firm, so treat the £376bn as directional and corroborate against ONS household spending data before it goes in a deck.

The AI data is your strongest ground

Ofcom is a statutory regulator with no commercial interest in the answer. The Harvard Business School meta-analysis and Deloitte's consumer survey are both primary research and both explicit about method. If there is one set of claims to defend in a room of sceptics, defend those.

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Sources

Linked in full so you can check my work.

UK

US and international