Eye-tracking technology now makes it possible for computers to gather staggering amounts of information about individuals as they use the Internet, and draw hyper-accurate conclusions about our behavior as consumers. As the technology becomes more practical, Senior Fellow John Villasenor discusses its benefits and risks.

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The weakness of the economic recovery in advanced economies raises questions about the ability of new technologies to drive growth. After all, in the years since the global financial crisis, consumers in advanced economies have adopted new technologies such as mobile Internet services, and companies have invested in big data and cloud computing. More than 1 billion smartphones have been sold around the world, making it one of the most rapidly adopted technologies ever. Yet nations such as the United States that lead the world in technology adoption are seeing only middling GDP growth and continue to struggle with high unemployment.

There are many reasons for the restrained expansion, not least of which is the severity of the recession, which wiped out trillions of dollars of wealth and more than 7 million US jobs. Relatively weak consumer demand since the end of the recession in 2009 has restrained hiring and there are also structural issues at play, including a growing mismatch between the increasingly technical needs of employers and the skills available in the labor force. And technology itself plays a role: companies continue to invest in labor-saving technologies that reduce demand for less-skilled workers.

So are we witnessing a failure of technology? Our answer is "no." Over the longer term, in fact, we see that technology continues to drive productivity and growth, a pattern that has been evident since the Industrial Revolution; steam power, mass-produced steel, and electricity drove successive waves of growth, which has continued into the 21st century with semiconductors and the Internet. Today, we see a dozen rapidly-evolving technology areas that have the potential for economic disruption as well in the next decade. They fall into four groups: IT and how we use it; machines that work for us; energy; and the building blocks of everything (next-gen genomics and synthetic biology).

Wide ranging impacts

These disruptive technologies not only have potential for economic impact—hundreds of billions per year and even trillions for the applications we have sized—but also are broad-based (affecting many people and industries) and have transformative effects: they can alter the status quo and create opportunities for new competitors.

While these technologies will contribute to productivity and growth, we must look at economic impact in a broader sense, which includes measures of surplus created and value shifted (for instance from producers to consumers, which has been a common result of Internet adoption). The greatest benefit we measured for autonomous vehicles—cars and trucks that can proceed from point A to point B with little or no human intervention. The largest economic impact we sized for autonomous vehicles is the enormous benefit to consumers that may be possible by reducing accidents caused by human error by 70 to 90 percent. That could translate into hundreds of billions a year in economic value by 2025.

Predicting how quickly even the most disruptive technologies will affect productivity is difficult. When the first commercial microprocessor appeared there was no such thing as a microcomputer—marketers at Intel thought traffic signal controllers might be a leading application for their chip. Today we see that social technologies, which have changed how people interact with friends and family and have provided new ways for marketers to connect with consumers, may have a much larger impact as a way to raise productivity in organizations by improving communication, knowledge-sharing, and collaboration.

There are also lags and displacements as new technologies are adopted and their effects on productivity are felt. Over the next decade, advances in robotics may make it possible to automate assembly jobs that require more dexterity than machines have provided or are assumed to be more economical to carry out with low-cost labor. Advances in artificial intelligence, big data, and user interfaces (e.g., computers that can interpret ordinary speech) make it possible to automate many knowledge worker tasks.

More good than bad

There are clearly challenges for societies and economies as disruptive technologies take hold, but the long-term effects, we believe, will continue to be higher productivity and growth across sectors and nations. In earlier work, for example, we looked at the relationship between productivity and employment, which are generally believed to be in conflict (i.e., when productivity rises, employment falls). And clearly, in the short term this can happen as employers find that they can substitute machinery for labor—especially if other innovations in the economy do not create demand for labor in other areas. However, if you look at the data for productivity and employment for longer periods—over decades, for example—you see that productivity and job growth do rise in tandem.

This does not mean that labor-saving technologies do not cause dislocations, but they also eventually create new opportunities. For example, the development of highly flexible and adaptable robots will require skilled workers on the shop floor who can program these machines and work out new routines as requirements change. And the same types of tools that can be used to automate knowledge worker tasks such as finding information can also be used to augment the powers of knowledge workers, potentially creating new types of jobs.

Over the next decade it will become clearer how these technologies will be used to raise productivity and growth. There will be surprises along the way—when mass-produced steel became practical in the 19th century nobody could predict how it would enable the automobile industry in the 20th. And there will be societal challenges that policy makers will need to address, for example by making sure that educational systems keep up with the demands of the new technologies.

For business leaders the emergence of disruptive technologies can open up great new possibilities and can also lead to new threats—disruptive technologies have a habit of creating new competitors and undermining old business models. Incumbents will want to ensure their organizations continue to look forward and think long-term. Leaders themselves will need to know how technologies work and see to it that tech- and IT-savvy employees are included in every function and every team. Businesses and other institutions will need new skill sets and cannot assume that the talent they need will be available in the labor market.

Policy makers at all levels, federal and state and local governments, are depositing great faith in innovation as a driver of economic growth and job creation. In the knowledge economy, universities have been called to play a central role as knowledge producers. Universities are actively seeking to accommodate those public demands and many have engaged an ongoing review of their educational programs and their research portfolios to make them more attuned to industrial needs. Technology transfer is a function that universities are seeking to make more efficient in order to better engage with the economy.

By law, universities can elect to take title to patents from federally funded research and then license them to the private sector. For years, the dominant model of technology transfer has been to market university patents with commercial promise to prospect partners in industry. Under this model, very few universities have been able to command high licensing fees while the vast majority has never won the lottery of a “blockbuster” patent. Most technology transfer offices are cost centers for their universities.

However, upon further inspection, the winners of this apparent lottery seem to be an exclusive club. Over the last decade only 37 universities have shuffled in the top 20 of the licensing revenue ranking. What is more, 5 of the top 20 were barely covering the expenses of their tech transfer offices; the rest were not even making ends meet.[i] It may seem that the blockbuster patent lottery is rigged. See more detail in my Brookings report.

That appearance is due to the fact that landing a patent of high commercial value is highly dependent on the resources available to universities. Federal research funding is a good proxy variable to measure those resources. Figure 1 below shows side by side federal funding and net operating income of tech transfer offices. If high licensing revenues are a lottery; then it is one in which only universities with the highest federal funding can participate. Commercial patents may require a critical mass of investment to build the capacity to produce breakthrough discoveries that are at the same time mature enough for the private investors to take an interest.

Figure 1. A rigged lottery?

High federal research funding is the ticket to enter the blockbuster patent lottery

Source: Author elaboration with AUTM data (2013) [ii]

But now, let’s turn onto another view of the asymmetry of resources and licensing revenues of  universities; the geographical dimension. In Figure 2 we can appreciate the degree of dispersion (or concentration) of both, federal research investment and licensing revenue, across the states. It is easy to recognize the well-funded universities on the East and West coast receiving most of federal funds, and it is easy to observe as well that it is around the same regions, albeit more scattered, that licensing revenues are high.

If policymakers are serious about fostering innovation, it is time to discuss the asymmetries of resources among universities across the nation. Licensing revenues is a poor measure of technology transfer activity, because universities engage in a number of interactions with the private sector that do not involve patent licensing contracts. However, this data hints at the larger challenge: If universities are expected to be engines of growth for their regions and if technology transfer is to be streamlined, federal support must be allocated by mechanisms that balance the needs across states. This is not to suggest that research funding should be reallocated from top universities to the rest; that would be misguided policy. But it does suggest that without reform, the engines of growth will not roar throughout the nation, only in a few places.

Figure 2. Tech Transfer Activites Depend on Resources

Bubbles based on Metropolitan Statistical Areas and propotional to size of the variable

Recently the University of Massachusetts Amherst courted controversy when it announced that it would not admit Iranian students into some programs in the College of Engineering and in the College of Natural Sciences. The rule sought to comply with sanctions on Iran, but facing strong criticism from faculty and students the university reversed itself and replaced the ban with a more flexible policy that would craft a special curriculum for Iranian students in the fields relevant to the ban. It is not yet clear how that policy will be implemented, but what has become patently clear is that a blanket ban on students by national origin is a transgression of the principles of an open society including academic freedom. Very rarely will the knowledge created and taught at universities present a security risk that justifies the outright exclusion of an entire nationality from participating in the research and learning enterprise.

A controversial ban

Section 501 of the Iran Threat Reduction and Syria Human Rights Act of 2012 explicitly denies visas to Iranian nationals seeking study in fields related to nuclear engineering or the energy sector. After the controversy and in consultation with the State Department, the university replaced the ban for a policy of “individualized study plans” for Iranian students in the sanctioned fields. Questions remain as to the practicality of crafting study plans that exclude the kind of knowledge Iranians are not supposed to learn. One can imagine the inherent difficulty of asking some students to skip a few chapters of the textbook or to take a coffee break outside the lab when certain experiments are conducted.

In a recent column, philosopher Behnam Taebi reminded us of a similar controversy when the Dutch government tried to restrict admission of Iranian students. He offers a valuable lesson from both experiences: “the Iranian academic community has traditionally been a bastion of reformism—a tendency Western governments and universities have every interest in encouraging” and correctly concludes that a ban of Iranian students is self-defeating.

Universities export knowledge and values

The costs of constraining technology transfer could indeed outweigh the benefits of study programs that entail technical and cultural exchange at the same time. American universities export knowledge and technology but also they export American values.

Surely, not all values for export are exactly the height of civilization. Skeptics may point out that conspicuous consumption and reality TV are not worth disseminating but these critics would do well recalling that neither social posing nor voyeurism were invented in the U.S.; what we see here are just new bottles for very old wine. In contrast, the best values for export are those of the American political tradition. Living in the U.S. affords international students a regular exposure to that tradition in informal settings such as community life and churchgoing, and in more formal ones, through the stupendous collections of university libraries and the campus curriculum on American history and political thought.

Aside of the lofty and the frivolous, however, there are a few values that are inherent to university life. Of course, the U.S. does not have a monopoly on those values—they are inherent to all universities in stable democracies—but they are certainly part of the experience of any international student. Consider these three:

Stability: Students appreciate the relative quietude of university life. In the U.S., most campuses are physically designed as a refuge from the frantic pace of modern life and provide the peace and safety necessary to allow the mind to concentrate, grow, and discover. Students coming from countries troubled by political instability and conflict are able to stop worrying about questions of subsistence or survival and can devote their attention to solve the puzzles of nature and society.

Meritocracy: Another value characteristic of academia is meritocracy. The system has its flaws but academia more than other walks of life assigns rewards based on clear standards of performance. There are systemic problems and no absence of prejudice, but hard work and talent tend to be given their due.

Social awareness: A third value is a collective concern with public affairs in the local, national, and global spheres. Not everyone in the academic community is socially engaged, but within campus there is a steady supply of debate on contemporary issues and ample opportunity for voluntary work. Visitors will find it easy to engage friends and colleagues in relevant debates and join them in meaningful action on and off campus.

Technology transfer is good diplomacy

Many international students remain in the U.S. after concluding their training but they also keep ties to their families and scientific communities in their countries of origin. Others return home and may seek to reproduce there the stability, meritocracy, and engagement with social issues that were constitutive of their time at an American university. Some will seek reform within their own universities and a few will go further and press for reform to their country's political system. Spreading the values of academic life in democratic societies is a legitimate and powerful approach to spreading democratic values around the world.

Technology transfer as a term of art has evolved to recognize the two-way exchange of knowledge between research and industrial organizations. Likewise, values move both ways and international students enrich American life by injecting their spheres with their own values for export. The policy of American universities of remaining open to all nationalities is both instrument and symbol of an open society. Technology transfer by means of advanced training is indeed good diplomacy.

Editor's note: This post originally appeared in the New England Journal of Medicine's Perspective online series on April 22, 2015.

Congress has finally euthanized the sustainable growth rate formula (SGR). Enacted in 1997 and intended to hold down growth of Medicare spending on physician services, the formula initially worked more or less as intended. Then it began to call for progressively larger and more unrealistic fee cuts — nearly 30% in some years, 21% in 2015. Aware that such cuts would be devastating, Congress repeatedly postponed them, and most observers understood that such cuts would never be implemented. Still, many physicians fretted that the unthinkable might happen.

Now Congress has scrapped the SGR, replacing it with still-embryonic but promising incentives that could catalyze increased efficiency and greater cost control than the old, flawed formula could ever really have done, in a law that includes many other important provisions. How did such a radical change occur?  And why now?

The “how” was logrolling — the trading of votes by legislators in order to pass legislation of interest to each of them. Logrolling has become a dirty word, a much-reviled political practice. But the Medicare Access and CHIP (Children’s Health Insurance Program) Reauthorization Act (MACRA), negotiated by House leaders John Boehner (R-OH) and Nancy Pelosi (D-CA) and their staffs, is a reminder that old-time political horse trading has much to be said for it.

The answer to “why now?” can be found in the technicalities of budget scoring. Under the SGR, Medicare’s physician fees were tied through a complex formula to a target based on caseloads, practice costs, and the gross domestic product. When current spending on physician services exceeded the targets, the formula called for fee cuts to be applied prospectively. Fee cuts that were not implemented were carried forward and added to any future cuts the formula might generate. Because Congress repeatedly deferred cuts, a backlog developed. By 2012, this backlog combined with assumed rapid future growth in Medicare spending caused the Congressional Budget Office (CBO) to estimate the 10-year cost of repealing the SGR at a stunning $316 billion.

For many years, Congress looked the costs of repealing the SGR squarely in the eye — and blinked. The cost of a 1-year delay, as estimated by the CBO, was a tiny fraction of the cost of repeal. So Congress delayed — which is hardly surprising.

But then, something genuinely surprising did happen. The growth of overall health care spending slowed, causing the CBO to slash its estimates of the long-term cost of repealing the SGR. By 2015, the 10-year price of repeal had fallen to $136 billion. Even this number was a figment of budget accounting, since the chance that the fee cuts would ever have been imposed was minuscule. But the smaller number made possible the all-too-rare bipartisan collaboration that produced the legislation that President Barack Obama has just signed.

The core of the law is repeal of the SGR and abandonment of the 21% cut in Medicare physician fees it called for this year. In its place is a new method of paying physicians under Medicare. Some elements are specified in law; some are to be introduced later. The hard-wired elements include annual physician fee updates of 0.5% per year through 2019 and 0% from 2020 through 2025, along with a “merit-based incentive payment system” (MIPS) that will replace current incentive programs that terminate in 2018. The new program will assess performance in four categories: quality of care, resource use, meaningful use of electronic health records, and clinical practice improvement activities. Bonuses and penalties, ranging from +12% to –4% in 2020, and increasing to +27% to –9% for 2022 and later, will be triggered by performance scores in these four areas. The exact content of the MIPS will be specified in rules that the secretary of health and human services is to develop after consultation with physicians and other health care providers.

Higher fees will be available to professionals who work in “alternative payment organizations” that typically will move away from fee-for-service payment, cover multiple services, show that they can limit the growth of spending, and use performance-based methods of compensation. These and other provisions will ramp up pressure on physicians and other providers to move from traditional individual or small-group fee-for-service practices into risk-based multi-specialty settings that are subject to management and oversight more intense than that to which most practitioners are yet accustomed.

Both parties wanted to bury the SGR. But MACRA contains other provisions, unrelated to the SGR, that appeal to discrete segments of each party. Democrats had been seeking a 4-year extension of CHIP, which serves 8 million children and pregnant women. They were running into stiff head winds from conservatives who wanted to scale back the program. MACRA extends CHIP with no cuts but does so for only 2 years.  It also includes a number of other provisions sought by Democrats: a 2-year extension of the Maternal, Infant, and Early Childhood Home Visiting program, plus permanent extensions of the Qualified Individual program, which pays Part B Medicare premiums for people with incomes just over the federal poverty thresholds, and transitional medical assistance, which preserves Medicaid eligibility for up to 1 year after a beneficiary gets a job.

The law also facilitates access to health benefits. MACRA extends for two years states’ authority to enroll applicants for health benefits on the basis of data on income, household size, and other factors gathered when people enroll in other programs such as the Supplemental Nutrition Assistance Program, the National School Lunch Program, Temporary Assistance to Needy Families (“welfare”), or Head Start. It also provides $7.2 billion over the next two years to support community health centers, extending funding established in the Affordable Care Act.

Elements of each party, concerned about budget deficits, wanted provisions to pay for the increased spending. They got some of what they wanted, but not enough to prevent some conservative Republicans in both the Senate and the House from opposing final passage. Many conservatives have long sought to increase the proportion of Medicare Part B costs that are covered by premiums. Most Medicare beneficiaries pay Part B premiums covering 25% of the program’s actuarial value. Relatively high-income beneficiaries pay premiums that cover 35, 50, 65, or 80% of that value, depending on their income. Starting in 2018, MACRA will raise the 50% and 65% premiums to 65% and 80%, respectively, affecting about 2% of Medicare beneficiaries. No single person with an income (in 2015 dollars) below $133,501 or couple with income below $267,001 would be affected initially. MACRA freezes these thresholds through 2019, after which they are indexed for inflation. Under previous law, the thresholds were to have been greatly increased in 2019, reducing the number of high-income Medicare beneficiaries to whom these higher premiums would have applied. (For reference, half of all Medicare beneficiaries currently have incomes below $26,000 a year.)

A second provision bars Medigap plans from covering the Part B deductible, which is now $147. By exposing more people to deductibles, this provision will cause some reduction in Part B spending. Everyone who buys such plans will see reduced premiums; some will face increased out-of-pocket costs. The financial effects either way will be small.

Inflexible adherence to principle contributes to the political gridlock that has plunged rates of public approval of Congress to subfreezing lows. MACRA is a reminder of the virtues of compromise and quiet negotiation. A small group of congressional leaders and their staffs crafted a law that gives something to most members of both parties. Today’s appalling norm of poisonously polarized politics make this instance of political horse trading seem nothing short of miraculous.

The American people deserve to have a federal government that is both responsive and effective. That simply isn’t the case for more than 1 million people who are awaiting the adjudication of their applications for disability benefits from the Social Security Administration.

Washington can and must do better. This gridlock harms applicants either by depriving them of much-needed support or effectively barring them from work while their cases are resolved because having any significant earnings would immediately render them ineligible. This is unacceptable.

Within the next month, the Government Accountability Office, the nonpartisan congressional watchdog, will launch a study on the issue. More policymakers should follow GAO’s lead. A solution to this problem is long overdue. Here’s how the government can do it.

Congress does not need to look far for an example of how to reduce the SSA backlog. In 2013, the Veterans Administration cut its 600,000-case backlog by 84 percent and reduced waiting times by nearly two-thirds, all within two years. It’s an impressive result.

Why have federal officials dealt aggressively and effectively with that backlog, but not the one at SSA? One obvious answer is that the American people and their representatives recognize a debt to those who served in the armed forces. Allowing veterans to languish while a sluggish bureaucracy dithers is unconscionable. Public and congressional outrage helped light a fire under the bureaucracy. Administrators improved services the old-fashioned way — more staff time. VA employees had to work at least 20 hours overtime per month.

Things are a bit more complicated at SSA, unfortunately. Roughly three quarters of applicants for disability benefits have their cases decided within about nine months and, if denied, decide not to appeal. But those whose applications are denied are legally entitled to ask for a hearing before an administrative law judge — and that is where the real bottleneck begins.

There are too few ALJs to hear the cases. Even in the best of times, maintaining an adequate cadre of ALJs is difficult because normal attrition means that SSA has to hire at least 100 ALJs a year to stay even. When unemployment increases, however, so does the number of applications for disability benefits. After exhausting unemployment benefits, people who believe they are impaired often turn to the disability programs. So, when the Great Recession hit, SSA knew it had to hire many more ALJs. It tried to do so, but SSA cannot act without the help of the Office of Personnel Management, which must provide lists of qualified candidates before agencies can hire them. SSA employs 85 percent of all ALJs and for several years has paid OPM approximately $2 million annually to administer the requisite tests and interviews to establish a register of qualified candidates. Nonetheless, OPM has persistently refused to employ legally trained people to vet ALJ candidates or to update registers. And when SSA sought to ramp up ALJ hiring to cope with the recession challenge, OPM was slow to respond.

In 2009, for example, OPM promised to supply a new register containing names of ALJ candidates. Five years passed before it actually delivered the new list of names. For a time, the number of ALJs deciding cases actually fell. The situation got so bad that the president’s January 2015 budget created a work group headed by the Office of Management and Budget and the Administrative Conference of the United States to try to break the logjam. OPM promised a list for 2015, but insisted it could not change procedures. Not trusting OPM to mend its ways, Congress in October 2015 enacted legislation that explicitly required OPM to administer a new round of tests within the succeeding six months.

These stopgap measures are inadequate to the challenge. Both applicants and taxpayers deserve prompt adjudication of the merits of claims. The million-person backlog and the two-year average waits are bad enough. Many applicants wait far longer. Meanwhile, they are strongly discouraged from working, as anything more than minimal earnings will cause their applications automatically to be denied. Throughout this waiting period, applicants have no means of self-support. Any skills applicants retain atrophy.

The shortage of ALJs is not the only problem. The quality and consistency of adjudication by some ALJs has been called into question. For example, differences in approval rates are so large that differences among applicants cannot plausibly explain them. Some ALJs have processed so many cases that they could not possibly have applied proper standards. In recognition of both problems, SSA has increased oversight and beefed up training. The numbers have improved. But large and troubling variations in workloads and approval rates persist.

For now, political polarization blocks agreement on whether and how to modify eligibility rules and improve incentives to encourage work by those able to work. But there is bipartisan agreement that dragging out the application process benefits no one. While completely eliminating hearing delays is impossible, adequate administrative funding and more, better trained hearing officers would help reduce them. Even if OPM’s past record were better than it is, OPM is now a beleaguered agency, struggling to cope with the fallout from a security breach that jeopardizes the security of the nation and the privacy of millions of current and past federal employees and federal contractors. Mending this breach and establishing new procedures will — and should — be OPM’s top priority.

That’s why, for the sake of everyone concerned, responsibility for screening candidates for administrative law judge positions should be moved, at least temporarily, to another agency, such as the Administrative Conference of the United States. Shortening the period that applicants for disability benefits now spend waiting for a final answer is an achievable goal that can and should be addressed. Our nation’s disabled and its taxpayers deserve better.

Editor's note: This piece originally appeared in Politico.

Recently, Brookings has posted two articles commenting on proposals to raise the full retirement age for Social Security retirement benefits from 67 to 70. One revealed a fundamental misunderstanding of how the program actually works and what the effects of the policy change would be. The other proposes changes to the system that would subvert the fundamental purpose of the Social Security in the name of ‘reforming’ it.

A number of Republican presidential candidates and others have proposed raising the full retirement age. In a recent blog, Robert Shapiro, a Democrat, opposed this move, a position I applaud. But he did so based on alleged effects the proposal would in fact not have, and misunderstanding about how the program actually works. In another blog, Stuart Butler, a conservative, noted correctly that increasing the full benefit age would ‘bolster the system’s finances,’ but misunderstood this proposal’s effects. He proposed instead to end Social Security as a universal pension based on past earnings and to replace it with income-related welfare for the elderly and disabled (which he calls insurance).

Let’s start with the misunderstandings common to both authors and to many others. Each writes as if raising the ‘full retirement age’ from 67 to 70 would fall more heavily on those with comparatively low incomes and short life expectancies. In fact, raising the ‘full retirement age’ would cut Social Security Old-Age Insurance benefits by the same proportion for rich and poor alike, and for people whose life expectancies are long or short. To see why, one needs to understand how Social Security works and what ‘raising the full retirement age’ means.

People may claim Social Security retirement benefits starting at age 62. If they wait, they get larger benefits—about 6-8 percent more for each year they delay claiming up to age 70. Those who don’t claim their benefits until age 70 qualify for benefits -- 77 percent higher than those with the same earnings history who claim at age 62. The increments approximately compensate the average person for waiting, so that the lifetime value of benefits is independent of the age at which they claim. Mechanically, the computation pivots on the benefit payable at the ‘full retirement age,’ now age 66, but set to increase to age 67 under current law. Raising the full retirement age still more, from 67 to 70, would mean that people age 70 would get the same benefit payable under current law at age 67. That is a benefit cut of 24 percent. Because the annual percentage adjustment for waiting to claim would be unchanged, people who claim benefits at any age, down to age 62, would also receive benefits reduced by 24 percent.

In plain English, ‘raising the full benefit age from 67 to 70' is simply a 24 percent across-the-board cut in benefits for all new claimants, whatever their incomes and whatever their life-expectancies.

Thus, Robert Shapiro mistakenly writes that boosting the full-benefit age would ‘effectively nullify Social Security for millions of Americans’ with comparatively low life expectancies. It wouldn’t. Anyone who wanted to claim benefits at age 62 still could. Their benefits would be reduced. But so would benefits of people who retire at older ages.

Equally mistaken is Stuart Butler’s comment that increasing the full-benefit age from 67 to 70 would ‘cut total lifetime retirement benefits proportionately more for those on the bottom rungs of the income ladder.’ It wouldn’t. The cut would be proportionately the same for everyone, regardless of past earnings or life expectancy.

Both Shapiro and Butler, along with many others including my other colleagues Barry Bosworth and Gary Burtless, have noted correctly that life expectancies of high earners have risen considerably, while those of low earners have risen little or not at all. As a result, the lifetime value of Social Security Old-Age Insurance benefits has grown more for high- than for low-earners. That development has been at least partly offset by trends in Social Security Disability Insurance, which goes disproportionately to those with comparatively low earnings and life expectancies and which has been growing far faster than Old-Age Insurance, the largest component of Social Security.

But even if the lifetime value of all Social Security benefits has risen faster for high earners than for low earners, an across the board cut in benefits does nothing to offset that trend. In the name of lowering overall Social Security spending, it would cut benefits by the same proportion for those whose life expectancies have risen not at all because the life expectancy of others has risen. Such ‘evenhandeness’ calls to mind Anatole France’s comment that French law ‘in its majestic equality, ...forbids rich and poor alike to sleep under bridges, beg in streets, or steal loaves of bread.’

Faulty analyses, such as those of Shapiro and Butler, cannot conceal a genuine challenge to policy makers. Social Security does face a projected, long-term funding shortfall. Trends in life expectancies may well have made the system less progressive overall than it was in the past. What should be done?

For starters, one needs to recognize that for those in successive age cohorts who retire at any given age, rising life expectancy does not lower, but rather increases their need for Social Security retirement benefits because whatever personal savings they may have accumulated gets stretched more thinly to cover more retirement years.

For those who remain healthy, the best response to rising longevity may be to retire later. Later retirement means more time to save and fewer years to depend on savings. Here is where the wrong-headedness of Butler’s proposal, to phase down benefits for those with current incomes of $25,000 or more and eliminate them for those with incomes over $100,000, becomes apparent. The only source of income for full retirees is personal savings and, to an ever diminishing degree, employer-financed pensions. Converting Social Security from a program whose benefits are based on past earnings to one that is based on current income from savings would impose a tax-like penalty on such savings, just as would a direct tax on those savings. Conservatives and liberals alike should understand that taxing something is not the way to encourage it.

Still, working longer by definition lowers retirement income needs. That is why some analysts have proposed raising the age at which retirement benefits may first be claimed from age 62 to some later age. But this proposal, like across-the-board benefit cuts, falls alike on those who can work longer without undue hardship and on those in physically demanding jobs they can no longer perform, those whose abilities are reduced, and those who have low life expectancies. This group includes not only blue-collar workers, but also many white-collar employees, as indicated by a recent study of the Boston College Retirement Center. If entitlement to Social Security retirement benefits is delayed, it is incumbent on policymakers to link that change to other ‘backstop’ policies that protect those for whom continued work poses a serious burden. It is also incumbent on private employers to design ways to make workplaces friendlier to an aging workforce.

The challenge of adjusting Social Security in the face of unevenly distributed increases in longevity, growing income inequality, and the prospective shortfall in Social Security financing is real. The issues are difficult. But solutions are unlikely to emerge from confusion about the way Social Security operates and the actual effects of proposed changes to the program. And it will not be advanced by proposals that would bring to Social Security the failed Vietnam War strategy of destroying a village in order to save it.

Event Information

Technology unimaginable at the time of the nation’s founding now poses stark challenges to America’s core constitutional principles. Policymakers and legal scholars are closely examining how constitutional law is tested by technological change and how to preserve constitutional principles without hindering progress. In Constitution 3.0: Freedom and Technological Change (Brookings Institution Press, 2011), Governance Studies Senior Fellow Benjamin Wittes and Nonresident Senior Fellow Jeffrey Rosen asked a diverse group of leading scholars to imagine how technological developments plausible by the year 2025 could stress current constitutional law. The resulting essays explore scenarios involving information technology, genetic engineering, security, privacy and beyond.

On December 13, the Governance Studies program at Brookings hosted a Judicial Issues Forum examining the scenarios posed in Constitution 3.0 and the challenge of adapting our constitutional values to the technology of the near future. Wittes and Rosen offered key highlights and insights from the book and was joined by two key contributors, O. Carter Snead and Timothy Wu, who discussed their essays.

After the program, panelists took audience questions.

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• Constitution 3.0: Freedom, Technological Change and the Law

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• Constitution 3.0: Freedom, Technological Change and the Law

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• Uncorrected Transcript (.pdf)

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• 20111213_constitution_technology

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Although we are early in the twenty-first century, breathtaking changes in technology are posing stark challenges to our constitutional values. From free speech to privacy, from liberty and personal autonomy to the right against self-incrimination, basic constitutional principles are under stress from technological advances unimaginable even a few decades ago, let alone during the founding era. In Constitution 3.0, we asked a group of provocative thinkers to imagine the ways in which technological change will challenge our constitutional and legal values in the year 2030.

Will privacy become obsolete, for example, in a world where ubiquitous surveillance is becoming the norm? Imagine that Facebook and Google post live feeds to public and private surveillance cameras, allowing 24/7 tracking of any citizen in the world. How can we protect free speech now that Facebook, Google, and other private intermediaries have more power than any king, president, or Supreme Court justice to decide who can speak and who can be heard? How will advanced brain-scan technology affect the constitutional right against self-incrimination? And on a more elemental level, should people have the right to manipulate their genes and design their own babies? Should we be allowed to patent new forms of life that seem virtually human? And we then asked our contributors to propose ways of translating and preserving constitutional values in the year 2030, in the face of dizzying technological change.

The launch event for the book, held on December 13 at Brookings, provoked a vigorous conversation that mirrored the debates in the book itself. My co-editor Ben Wittes and I invited Tim Wu and Carter Snead to discuss their contributions to Constitution 3.0 and to debate a question the U.S. Supreme Court is now considering: should the police be allowed, without a valid warrant, to secretly put a Global Positioning System device on the bottom of a car of a suspected drug dealer in order to track his movements, 24/7, for a month? The panelists disagreed about the proper outcome: Tim Wu argued that Google and Facebook now have more power over our private data than any police agent or Supreme Court justice, and yet the Constitution, as currently interpreted, restricts private corporations far less rigorously than it constrains the police. Carter Snead insisted that it’s not enough for judges to predict how much privacy people actually expect in the face of new technologies; instead, they need to identify how much privacy we should demand in order to live in a free society rather than a police state. Benjamin Wittes dissented, arguing that Congress, rather than the Courts, should protect the privacy of our geo-locational information, whether collected by GPS devices or stored on cell phones. And I channeled the spirit of the patron saint of Constitution 3.0, Justice Louis Brandeis. Brandeis would have been impatient, I think, with the government’s statements that we have no expectations of privacy in public; instead, Brandeis would have insisted on translating the constitutional Framers’ prohibition on unreasonable searches and seizures into the 21st century. Now that GPS devices and cell phones can reveal far more about our movements, thoughts, and activities outside of the home than old style home break-ins could have revealed in the 18th century, Brandeis might have insisted that long term surveillance is unreasonable without a warrant.

If you watch the webcast, you’ll get a sense of debate among the panelists about who is best equipped to protect constitutional values in the face of new technologies: the Supreme Court, Congress, administrative agencies, private companies like Google and Facebook, political activism groups, or some combination of all of the above. Regardless of where you come out on these issues, I hope you’ll find the project of trying to imagine the constitutional challenges of the next few decades as challenging and rewarding as we did in writing the book.