Policy That Would Change Everything

Julia Moreno does not hesitate. She is 38, a congressional staffer who has worked on aging policy for fourteen years, currently for a senior member of the Senate Special Committee on Aging. She has been asked to name the single policy change that would do the most good for the most aging Americans. She has been asked this question before, at hearings, at conferences, at happy hours where the question is always the same and the answer never changes anything. She says: Medicare dental coverage.

She says it without drama because the case does not require drama. Dental disease accelerates systemic inflammation. Systemic inflammation accelerates cardiovascular disease and cognitive decline. Untreated dental disease in older adults is associated with increased pneumonia hospitalizations, worse diabetes management, and higher rates of malnutrition due to chewing difficulty. Traditional Medicare does not cover dental care. It has not covered dental care since the program was created in 1965. The proposal to add coverage has been introduced in every Congress for two decades. It has not passed.

Julia knows the cost estimate. She knows the opposition. She knows the difference between the opposition’s stated argument and its actual argument. She is going to walk through all five of the policy changes that would transform aging in America, and she is going to tell you which ones have a chance and which ones do not, and why.

Medicare Dental, Vision, and Hearing

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Julia starts with dental because the evidence base is the strongest and the cost is the most defensible. Medicare dental coverage for the roughly 65 million Medicare beneficiaries would cost an estimated $16 to $25 billion annually, depending on the benefit design. The number sounds large in isolation. In the context of a Medicare program that spends over $900 billion annually, it is less than 3 percent.

The health economics argument is that dental coverage would reduce downstream costs in hospitalizations, emergency department visits for dental emergencies (currently one of the most common reasons older adults visit the ER), and complications from untreated oral disease. The studies that quantify this offset do not fully cover the cost of the benefit. Julia is honest about this: the offset is real but it does not make the benefit free. The cost is net new spending.

The opposition’s stated argument is fiscal responsibility. Julia has heard it in fourteen years of committee hearings. The actual argument, which she identifies without malice, is simpler: the dental insurance industry opposes a public option that would compete with supplemental dental plans, and the dental provider associations have concerns about Medicare reimbursement rates, which historically pay below commercial rates. The fiscal argument is cover for an industry objection. Julia does not blame the industries for protecting their interests. She names the dynamic so the reader understands why a policy with overwhelming public support has not advanced.

Vision and hearing follow the same pattern. Vision loss increases fall risk and accelerates social isolation. Hearing loss is one of the most modifiable risk factors for dementia, with research showing that hearing aid use is associated with slower cognitive decline. Neither is covered by traditional Medicare. The over-the-counter hearing aid ruling in 2022 improved access to devices but did not address the audiological evaluation, fitting, and follow-up that most older adults with hearing loss need.

Medicare Advantage plans increasingly include dental, vision, and hearing benefits, which has created a two-tier system: beneficiaries who can afford MA plans with these benefits have access; those on traditional Medicare do not. The coverage gap tracks income, race, and geography in the same patterns that Series 13 of this publication documented.

Paid Family Leave for Caregivers

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The federal Family and Medical Leave Act provides twelve weeks of unpaid leave. The average caregiving duration is 4.5 years. The gap between the policy and the reality is measured in years, dollars, and careers that do not recover.

The economic cost, documented in Series 6 of this publication, is approximately $300,000 in lifetime economic impact for the median female caregiver who reduces work hours or exits the workforce to provide care. The cost includes lost wages, lost retirement contributions, lost Social Security accrual, and reduced career trajectory after returning to work. The cost falls disproportionately on women, on lower-income workers who cannot afford unpaid leave, and on communities of color where multigenerational caregiving responsibilities are more common.

Nine states have enacted meaningful paid family leave programs. The programs vary in duration, benefit level, and funding mechanism. Most are funded through small payroll contributions from employees, employers, or both. The states that have implemented them have not experienced the small business disruption that opponents predicted. Julia knows this because she has reviewed the economic data from every state program. She also knows that the data has not changed the federal conversation, because the federal opposition is not primarily about data.

The federal proposal most recently advanced would provide twelve weeks of partial wage replacement, funded through a payroll contribution of less than one percent. The Congressional Budget Office has scored it. The business coalition that opposes it has lobbied against it. Julia does not expect it to pass in the current Congress. She expects it to be introduced again.

Broadband as Utility Infrastructure

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The BEAD program, described in 14.02 of this series, is the most significant federal broadband investment in history. It is also an infrastructure deployment program, not a regulatory reclassification. The distinction matters.

Broadband as utility infrastructure would mean applying the same obligation-to-serve model that governs electricity and telephone service. Every address served. Every provider required to offer service at regulated rates. No cherry-picking profitable markets while leaving rural and tribal areas unserved. The regulatory framework exists for electricity. It could be adapted for broadband. It has not been.

The industry argument against utility classification is that it would reduce investment incentive by capping returns. Julia acknowledges this as a genuine concern, not a pretext. The telecommunications industry invested heavily in network infrastructure under the existing regulatory model. Changing the model mid-investment would change the return calculation. Whether the public interest in universal service outweighs the investment incentive concern is a policy judgment that Congress has not made and that Julia does not predict Congress will make in the current environment.

What BEAD does in the meantime is deploy broadband to underserved areas through grants rather than regulation. If BEAD deployment proceeds on its current timeline, most currently unserved addresses will have broadband access within five to seven years. If it does not, the addresses that remain unserved will be the ones where the market incentive is weakest and the need is greatest. Agnes Littlefeather’s address in South Dakota is one of them.

Age Discrimination Enforcement

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The Age Discrimination in Employment Act prohibits age discrimination in workplaces with twenty or more employees. It has been federal law since 1967. Enforcement requires individual litigation.

The practical consequence of the litigation requirement is that most age discrimination goes unchallenged. Filing an EEOC charge is the first step. The EEOC investigates a fraction of charges. A fraction of investigations result in findings of probable cause. A fraction of findings result in any employer action. The median monetary benefit for charges that produce any outcome is low enough that most employment attorneys advise potential plaintiffs that the legal cost exceeds the likely recovery.

What enforcement with teeth would require: a shift in the burden of proof for employers who terminate or decline to hire older workers in patterns that suggest age bias, facilitation of class action claims for systemic discrimination, and EEOC enforcement priority that reflects the demographic reality of an aging workforce. Each of these is a legislative change. Each has been proposed. None has advanced.

The research evidence now supports enforcement reform on health grounds as well as justice grounds. Involuntary job loss after 50 is associated with accelerated cognitive decline, increased cardiovascular events, and higher mortality. The health cost of age discrimination is borne by Medicare, by families, and by the individuals whose bodies absorb the stress of economic displacement. The policy cost of not enforcing the law is externalized to the healthcare system that treats the consequences.

Long-Term Care Insurance

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The private long-term care insurance market has largely failed. Premiums have increased by 50 to 200 percent for existing policyholders as insurers discovered that their actuarial models underestimated both the frequency and the duration of claims. Major insurers have exited the market. New policies are prohibitively expensive for most purchasers. The people who need coverage most, those with lower incomes and fewer assets, are the ones least able to obtain it.

Public program proposals have not advanced. The CLASS Act, included in the Affordable Care Act in 2010, was repealed before implementation after actuarial analysis showed it was financially unsustainable in its designed form. The WISH Act and similar proposals have been introduced but not moved through committee. The fiscal challenge is genuine: long-term care is expensive, the population that needs it is growing, and the political appetite for a new public insurance program is limited in an era of deficit concern.

Julia does not have an optimistic timeline for this one. She names it because it belongs on the list and because the absence of a public long-term care option is the single largest financial risk facing middle-income older Americans. The AI from Series 2 that helps families plan for long-term care costs is working within a system that has failed to provide an insurance solution. The AI can optimize the plan. It cannot create the insurance product that the market abandoned and the government has not replaced.

The AI as Compensation

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The technology this publication has described across fourteen series is, in substantial part, compensation for the policy failures Julia has just catalogued.

The AI finds cheaper prescriptions because Medicare does not cover dental care and the savings are needed for dental bills paid out of pocket. The AI navigates benefits because paid caregiver leave does not exist and families need to find whatever programs do exist. The AI monitors health remotely because the rural hospital has closed and broadband has not yet reached the community where the patient lives. The AI detects cognitive decline early because the research funding for Alzheimer’s therapeutics, while substantial, has not yet produced a drug that stops the disease.

The compensation is real. The AI health companion described in Series 1 is saving people time, money, and in Earl Hanson’s case, life. The benefits navigation agent from Series 2 is finding resources that people would not have found on their own. The technology works. It works within a policy environment that has not provided the coverage, the leave, the infrastructure, or the insurance that would make some of the technology’s functions unnecessary.

Technology compensates for policy failure. The compensation is real and insufficient. The policy would make the compensation unnecessary.

Julia’s Afternoon

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Julia has described the policy landscape without consolation. She is asked what she is working on this week. She says: the hearing aid coverage expansion. Not the full dental, vision, and hearing benefit. The hearing aid piece. It is the most politically possible of the five policies she has described. It will not be enough. It will be something.

She goes back to her office. The staffer who has worked on aging policy for fourteen years and is still there is doing what the publication’s purpose deployment model describes from a different position: deploying expertise in service of something she may not see completed on her timeline. The policy timeline and the drug timeline and the infrastructure timeline share a characteristic that Julia has learned to live with. They are all longer than the people waiting for them.