Banking and Finance Law Daily Wrap Up, FINANCIAL TECHNOLOGY—Senate Committee Highlights AI’s Risks and Benefits for Older Americans, (Jul 30, 2026)

By George M. Gullo, J.D.

The report is intended as a roadmap for addressing AI-enabled scams while promoting responsible uses of AI that could improve the well-being of aging populations.

The Senate Special Committee on Aging’s report, Artificial Intelligence & Older Americans: Confronting New Threats, Unlocking New Opportunities, presents artificial intelligence (AI) as both an accelerating fraud risk and a promising tool for improving older adults’ health, safety, and independence. The report, released July 29, 2026, by Chairman Rick Scott (R-SC) and Ranking Member Kirsten Gillibrand (D-NY), was paired with an Aging Committee hearing titled The AI Deception Machine: Deepfakes, Chatbots, and the New Frontier of Senior Fraud. The accompanying press release emphasized that the report is intended as a roadmap for addressing AI-enabled scams while promoting responsible uses of AI that could improve the well-being of aging populations.

Fraud. The report’s fraud analysis centers on generative AI’s ability to make scams more convincing, personalized, and scalable. Deepfakes and voice clones can imitate public figures, family members, or trusted contacts, while AI-generated phishing can remove the grammar and style mistakes that once helped consumers spot fraudulent messages. Deepfakes are described as AI-manipulated or AI-generated video, photo, or audio that appears authentic. The report highlights their use in investment fraud, impersonation, identity fraud, and disinformation, including examples in which seniors lost retirement savings, cash, homes, or other assets after relying on fabricated celebrity or personal communications. Voice cloning receives special attention because it can exploit family trust in emergency scams. AI can analyze short audio samples, including from social media, and produce natural-sounding speech that mimics a familiar speaker.

The loss figures cited by the report are substantial. Americans reported nearly $21 billion in cybercrime losses in 2025, including $893 million tied to AI-enabled scams across more than 22,000 complaints. Reported losses by adults age 60 and older increased from about $600 million in 2020 to about $2.4 billion in 2024 in the Federal Trade Commission’s Consumer Sentinel Network, and the Federal Bureau of Investigation’s Internet Crime Complaint Center reported $7.7 billion in 2025 losses for that age group.

The report emphasizes improving fraud reporting, law-enforcement coordination, and cryptocurrency-tracing capabilities as part of a broader effort to combat increasingly sophisticated AI-enabled financial crime. The report also recommends practical safeguards: treat urgency, secrecy, and unusual payment methods as warning signs; use a family code word or safe phrase for distress calls; pause before responding to unsolicited requests involving money or personal information; freeze credit when appropriate; monitor financial accounts; and report suspected fraud through established channels. Reporting is presented as important even when recovery appears unlikely because complaints help authorities identify patterns and intervene in ongoing schemes.

AI benefits. The report balances those risks with AI applications that could benefit older adults. AI companion technologies are presented as one response to loneliness and isolation. Citing a University of Michigan National Poll on Healthy Aging, the report states that 34 percent of adults ages 50 to 80 reported feeling isolated from others in the past year, and it links loneliness and isolation to serious physical and mental health risks.

AI also could support aging in place. The report states that most older adults want to remain in their homes and identifies falls as a major barrier, with roughly 25 percent of Americans age 65 and older experiencing a fall each year. AI-enabled monitoring and fall-detection systems can use sensors, cameras, and movement data to detect falls or changing risk patterns, while broader remote monitoring tools may track vital signs, medication adherence, sleep, and activity.

Risks and considerations. The report stresses that beneficial AI uses require oversight. Algorithmic bias is a central concern because AI systems trained on datasets that underrepresent older adults, diverse populations, people with cognitive impairment, or rural residents may produce less accurate recommendations for the populations most likely to rely on them.

The report also flags AI-driven claims review as an area requiring scrutiny. It describes allegations involving automated review and denial of large volumes of insurance claims and uses those concerns to underscore the need for oversight, transparent outcome reporting, accountability standards, and engagement with patients, providers, and other stakeholders.

Policy recommendations. The report recommends legislative and policy responses in two categories. To stop fraud against seniors, it urges enactment of the NO FAKES Act, the National Strategy for Combatting Scams Act, the GUARD Act, and the ReportScams.Gov Act. It also recommends reducing the stigma of fraud reporting, expanding use of fraud education resources, and enacting the Tax Relief for Victims of Crimes, Scams, and Disasters Act.

To improve senior healthcare, the report supports the Improving Seniors’ Timely Access to Care Act, the Aging with Artificial Intelligence Act, and reauthorization of the Older Americans Act, which it describes as the primary federal law supporting community-based services that help older adults remain in their homes. The report states that, as of July 2026, reauthorization of the Older Americans Act had passed the Senate by unanimous consent and was awaiting action in the House.

Conclusion. The report’s core message is that protecting seniors from AI-enabled fraud and expanding responsible AI-assisted care are complementary obligations. AI has increased the scale, speed, and sophistication of scams targeting older Americans, particularly through deepfakes, voice cloning, and more effective phishing schemes. At the same time, the report emphasizes that AI is not merely a source of risk. Properly developed and overseen, it may also reduce loneliness, improve clinical workflows, support safer independent living, and help older adults manage complex health needs. The report thus frames the policy task as one of balance: strengthening enforcement, reporting, education, and legal protections against AI-enabled abuse while supporting AI tools that can improve care, reduce administrative burdens, and help seniors remain safely in their homes.

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