AI and Canada's Seniors: Building Technology That Includes Everyone

A Country That's Getting Older, Fast

Canada is entering uncharted demographic territory. As of July 2025, 19.5% of Canadians — approximately 8.1 million people — are aged 65 and older. This cohort is growing six times faster than children aged 0–14, and the need for in-home senior care is projected to exceed the availability of human caregivers within the decade.

Newfoundland and Labrador has already crossed the 25% threshold. Meanwhile, 90% of older Canadians express a desire to age in their own homes. These numbers tell a clear story: Canada needs new solutions for eldercare, and AI is one of the most promising tools available.

Seniors Aren't Afraid of AI — They're Underserved By It

A common assumption is that elderly Canadians resist technology. The data tells a different story.

Canadian Digital Health Surveys (2021–2023) found that 44.6% of respondents were moderately comfortable with AI in healthcare — and surprisingly, adults aged 65+ showed higher comfort levels with AI in healthcare than respondents aged 16–24. When AI use involved personal health data under informed consent, comfort rose to 64.7%.

The barrier isn't willingness — it's design. Most AI tools are built for younger, tech-savvy users. Seniors face:

• Tiny text and complex interfaces that don't account for vision or dexterity changes
• Voice recognition that fails on age-affected speech patterns
• No French-language options for Francophone seniors outside major centres
• Privacy designs that assume digital literacy rather than explaining plainly

Where AI Can Make a Real Difference

Health and Wellness

Researchers at Carleton University in Ottawa are using AI-equipped cameras to analyze walking patterns and predict health decline — using privacy-preserving stick-figure representations rather than actual video. AI-powered medication management can alert caregivers about missed doses or dangerous drug interactions. Remote monitoring of chronic conditions reduces hospital visits, especially in rural Canada.

Daily Living

Smart home systems can adapt lighting, temperature, and security to daily routines. AI-assisted navigation helps seniors who can no longer drive — critical in car-dependent suburban and rural communities. Financial AI can detect fraud patterns, protecting seniors who are disproportionately targeted by scams.

Social Connection

Perhaps most importantly, AI can combat the isolation epidemic. Conversational AI has evolved from simple command-takers to companions that engage in real conversation, play games, and support reminiscence therapy. AI-powered platforms can match seniors with local activities, volunteer opportunities, and peer groups.

What Canada Must Do

Our research identifies five priority areas for age-inclusive AI policy:

1. Strengthen regulations with age-specific provisions. AI systems serving elderly populations in health and care should be classified as "high-impact" by default, with mandatory age-disaggregated bias testing.
2. Mandate participatory design. Products targeting seniors must involve older adults in design, testing, and evaluation. Nothing about them without them.
3. Invest in digital literacy. Fund AI literacy workshops at community centres, libraries, and seniors' residences — in both official languages, with special programs for Indigenous elders and remote communities.
4. Build Canadian data infrastructure. Create bilingual training datasets that include diverse elderly voices and speech patterns. Ensure health data used for AI respects Canadian sovereignty and privacy requirements.
5. Fight ageism in AI. Require bias audits specifically testing for age-based discrimination. AI training data frequently contains ageist language and assumptions — this must be actively countered.

The Bottom Line

The global AI in Aging and Elderly Care market was valued at USD 56.78 billion in 2025, and it's growing rapidly. Canada has the research talent, the regulatory framework, and the social values to lead in age-inclusive AI.

But the window is closing. Every AI system deployed today without considering elderly users creates another layer of exclusion. Every voice dataset trained without age-diverse speech patterns makes the problem harder to fix later.

Canada's seniors built this country. They deserve AI that works for them — not despite them.