AI Agents

Recent research highlights AI opportunities for care-related organizations. The recent report AI and Older Adults – What’s Now and Next in 2026 highlights problems and potential for the uses of artificial intelligence in organizations that serve older adults. While caution is warranted and barriers are visible, senior living and home care firms will likely move forward in the near term on AI initiatives. Why? Because worker shortages, stretched staff and ultimately customer demand will mandate change. This includes AI agents to help improve efficiency, screen applicants more effectively, and free up more time to better serve clients. From the report, here are possibilities for both home care and senior living organizations.

The hype still outpaces adoption. According to the Wall Street Journal in August, companies are slowing their rate of AI adoption amidst some stumbles among innovators. As in the 2023 report, there is still trepidation, and the Pew Research April 2025 study shows that experts are more optimistic than the general public about AI’s potential. Are older adults lagging today’s pace of adoption of AI?

The Boomer Safety Bundle for the Approaching Wave of 80-year-olds. January 2026 is just around the corner. And so will begin the wave of 73 million baby boomers turning 80 over the next 20 years. Maybe they are all in great shape! Not according to a Johns Hopkins researcher: only 25% are ‘robust and active’. 'The rest are a mix of frail and vulnerable, slowed down by health issues.' And many in their 80s and 90s will be aging in place alone – projected by a Harvard study to exceed 10 million. The Centers for Medicare and Medicaid (CMS) just put out a request for tech ecosystem recommendations – clear understanding that the future for health tech for older adults will be required – and even (!) interoperable. The pace of making all of this happen clearly needs to accelerate. Read more.

We all just want more effective help online. We want information, we need suggestions, even helping us with tasks by doing the work for us. Oh, and we would even like the advice to be timely and accurate!  Over the past few years, as people were exploring ChatGPT as an alternative to traditional search, other alternatives emerged. Actually multiple AI assistant alternatives emerged, forcing downward pressure on Google’s ad-based model, which makes up half of its revenue.  Businesses expecting to be found through Google search are seeing a decline in traffic. And that is likely related to lawsuits pertaining to its AI overviews, which eliminate the need to go further into links.

And just in time -- we are on the cusp of the utility of AI agents. Ironically, or maybe not so much, that improvement is inversely proportional to the diminished availability of people to solve our problems.  We see bits and pieces of the decline of people in processes we need.  Whether it is the sign-in kiosk in the healthcare waiting room, the check-in process at the airport, automated creation of pharmacy refill requests, or the customer service ‘interface’ that is now nearly all AI. And screaming ‘agent’ may still not bring the actual person to the phone. What’s positive and likely? [Information is drawn from interviews about “The Future of AI and Older Adults 2030.” Scheduled to be published in early January 2026]

Aging in place makes the senior living industry anxious.  A new article from Caring.com scopes out the cost differential between aging in place (in some states), replete with home modification requirements and related costs.  It identifies the 10 states where assisted living is actually cheaper than aging at home, with South Dakota as being the most reasonable by comparison to staying at home. Hmmm. Average temperature in South Dakota in February is, let’s say, too cold to go for a walk. But no worries, the median age in South Dakota is 38.5 and only 5% are aged 80+.  So it may be cheaper to age in place there, but virtually no one is doing it.

As interviews begin, ideas for the future of AI and older adults are emerging.  For the updated report, The Future of AI and Older Adults 2030, suggestions for the future are key to the conversation. As interviews are scheduled and completed, recommendations emerge. These ideas are sensibly building on what would be useful for older adults, coupled with what has already been delivered in the marketplace. For each of these ideas, the report will also consider the barriers that may hobble full adoption, including lack of awareness, training (both for the consumer side and professional), and acceptable cost.  But for now, imagine that by 2030: