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Yet another New York Times column gets the story on automation and inequality completely wrong

Summary:
From Dean Baker I am a big fan of expanding the welfare state but I am also a big fan of reality-based analysis. For this reason, it’s hard not to be upset over yet another column telling us that the robots are taking all the jobs and that this will lead to massive inequality. The first part is more than a little annoying just because it is so completely and unambiguously at odds with reality. Productivity growth, which is the measure of the rate at which robots and other technologies are taking jobs, has been extremely slow in recent years. It has averaged just 1.3 percent annually since 2005. That compares to an annual rate of 3.0 percent from 1995 to 2005 and in the long Golden Age from 1947 to 1973. In addition, all the official projections from places like the Congressional Budget

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from Dean Baker

I am a big fan of expanding the welfare state but I am also a big fan of reality-based analysis. For this reason, it’s hard not to be upset over yet another column telling us that the robots are taking all the jobs and that this will lead to massive inequality.

The first part is more than a little annoying just because it is so completely and unambiguously at odds with reality. Productivity growth, which is the measure of the rate at which robots and other technologies are taking jobs, has been extremely slow in recent years. It has averaged just 1.3 percent annually since 2005. That compares to an annual rate of 3.0 percent from 1995 to 2005 and in the long Golden Age from 1947 to 1973.

In addition, all the official projections from places like the Congressional Budget Office and Social Security Administration assume that productivity growth will remain slow. That could prove wrong, but the people projecting a massive pick up of productivity growth are certainly against the tide here.

But the other part of the story is even more annoying. No, technology does not generate inequality. Our policy on technology generates inequality. We have rules (patent and copyright monopolies) that allow people to own technology.

Bill Gates is incredibly rich because the government will arrest anyone who mass produces copies of Microsoft software without his permission. If anyone could freely reproduce Windows and other software, without even sending a thank you note, Bill Gates would still be working for a living.

The same applies to prescription drugs, medical equipment, and other tech sectors where some people are getting very rich. In all of these cases, these items would be cheap without patent, copyrights, or related monopolies, and no one would be getting hugely rich.

At this point, there are undoubtedly people jumping up and down yelling “without patent and copyright monopolies people would have no incentive to innovate.” This yelling is very helpful in making the point. If we have structured these incentives in ways that lead to great inequality and not very much innovation (as measured by productivity growth) then we should probably be looking to alter our structure of incentives. (Yes this is the topic of chapter of 5 of Rigged [it’s free].)

In any case, this is the point. The inequality that results from technology is the result of our policies on technology, not the technology itself. Maybe one day the New York Times will allow a columnist to state this obvious truth in its opinion section.

Dean Baker
Dean Baker is a macroeconomist and codirector of the Center for Economic and Policy Research in Washington, DC. He previously worked as a senior economist at the Economic Policy Institute and an assistant professor at Bucknell University. He is a regular Truthout columnist and a member of Truthout's Board of Advisers.

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