The Twelve Trillion Dollar Edge Case

Here is a resource allocation puzzle, one customer segment generated $12.5 trillion in US economic activity in 2024, per AARP’s Longevity Economy Outlook. It accounts for 56 cents of every consumer dollar spent in this country, heading to 61 cents by 2050. It controls roughly 70% of household wealth. Its technology spending was projected to grow from $140 billion in 2018 to $645 billion by 2050, and AARP’s latest data shows tech as one of its fastest-rising spending categories.

The tech industry’s product strategy for this segment is an accessibility settings menu and a shrug.

I spend my working life deciding where constrained resources go. When I see willing buyers with money, unmet demand, and suppliers systematically failing to show up, I don’t call that a niche, I call it a market failure, and market failures are where the money is.

The gap, quantified

In the last piece I argued the older-user problem is a design escape, not a user defect. Now price the escape.

Pew’s 2025 numbers: 22% of Americans 65 and older still have no smartphone. 30% lack home broadband. Those are the visible gaps: unsold hardware, unactivated plans. The bigger gap is invisible. Among the 78% who own smartphones, a large share use a fraction of the device’s capability, never adopt the subscription services, never enter the ecosystem. Every abandoned onboarding flow is churned lifetime value that no dashboard ever recorded, because engagement metrics count active users, not discouraged ones.

Meanwhile the demographic tailwind is the strongest in consumer tech. By 2050, one in four Americans will be over 65. Globally, AARP puts the 50-plus share of consumer spending at half of all spending today ($35 trillion in 2020) and nearly 60% by mid-century. Brookings projects spending by those 65 and up alone rising from $8.7 trillion in 2020 to nearly $15 trillion by 2030. Designing products that alienate older users is choosing to shrink your addressable market every year, on a schedule, forever.

The family multiplier

Here’s the part the spreadsheets miss entirely, technology purchases for older adults are multi-generational decisions. Adult children research the device, buy the device, set up the device, and support the device. There is an unpaid, exhausted workforce out there, the family IT department, and every company in consumer tech depends on it while building almost nothing for it.

Run the incentive analysis. A product that is easy to set up remotely and easy to assist wins two customers at once: the senior, and the adult child who often controls the household’s broader ecosystem loyalty. A product that generates a frustrated Sunday tech-support call between a daughter and her father damages two customer relationships in a single incident. The industry is running an uncontrolled experiment in burning goodwill across two generations simultaneously, and nobody owns the metric.

Loyalty economics the industry ignores

The lifetime-value math the industry applies obsessively to 22-year-olds applies here with better margins. Older consumers churn less and stay loyal longer. Acquire a 68-year-old with a genuinely good onboarding experience and you may hold that customer, and her ecosystem spending, for 20 years with minimal retention cost. Among smartphone owners 50 and older, 98% use the device daily. This is not a reluctant market. It’s an underserved one that happens to reward the supplier who finally serves it with the stickiest revenue in the business.

There’s also a cost side. Bad design for older users converts directly into support tickets, carrier store visits, returns, and negative word of mouth in tightly networked communities. A confusing update bills the company twice: once in support burden, once in trust.

Why the failure persists

If the money is real, why does the industry keep designing for 25-year-olds? Five structural reasons, none of them economic fundamentals:

Builder demographics. Teams design for themselves and test on colleagues. Empathy for aging users requires deliberate process, and process is exactly what fast-shipping cultures resist.

Metrics that hide the problem. The discouraged non-user appears in no funnel. Her failure is booked as a carrier’s support cost or a family’s Sunday afternoon, never as the app developer’s defect.

Iteration velocity as religion. Shipping fast and redesigning often is culturally rewarded. Interface stability, the single thing older users need most, reads internally as stagnation.

The digital-nativity assumption. Products increasingly presume a lifetime of prior interface knowledge, while software eats domains where older users have no exit: banking, healthcare, government services. The assumption gets more wrong precisely as the stakes get higher.

Marketing fear. Brands worry that visibly serving older users poisons youth appeal. Apple demonstrated the counter-play years ago: ship deep accessibility in the flagship, market it as premium capability, let everyone benefit, never say the word senior. Nobody thinks AirPods Pro hearing-aid features made the brand old. They made the brand indispensable.

The test I would run

If I owned this problem at a product company, I would run it like a pilot line. Partner with a senior-living operator or an organization like AARP or Senior Planet. Take a 6-month cohort. Measure task completion rates for users over 70, time-to-first-success in onboarding, support contacts per user, 90-day retention, and one question: would you recommend this to a friend your age. Segment 65 to 74, 75 to 84, 85 plus, because a single 65-plus bucket is analytically useless across a 40-year span.

My prediction is boring and confident: the design changes that move those numbers, clarity, stability, forgiveness, plain language, will improve the same metrics for every other cohort too. Which raises the question this whole series is building toward. For 40 years the deal has been that humans adapt to the machine. There is now, for the first time, a technology that can flip that deal. Next piece.

References

AARP, Longevity Economy Outlook (2024 US edition)
AARP, Global Longevity Economy Outlook (2022)
Brookings Institution, The silver economy is coming of age (2022)
Pew Research Center, Internet use, smartphone ownership and digital divides in the U.S. (2025 survey, published January 2026)
AARP research on 50-plus technology spending; Retirement Living compilation of senior device usage statistics