A Contrarian Reviews Race Against the Machine, Says Don't Blame the Bots

The “robots are coming” narrative dominating discussions of the economy was popularized by Erik Brynjolfsson and Andrew McAfee in their 2011 book, Race Against the Machine. They have built on that theme in the richer, deeper The Second Machine Age (W.W. Norton, 2014). The first half of the book provides a valuable window, at least for a non-technologist like me, into past developments and the future trajectory of digitization. Their claim is that digitization will do for mental power what the steam engine did for muscle power—that is, quite a bit, transforming our lives at work and play.

The remainder of the book dwells on the role of digitization in generating both bounty (more consumer choice and greater output, wealth, and income) and spread (greater inequalities of wages, income, and wealth). In treating these topics, they heavily rely on the work of others. As in their last book, they do not provide much direct evidence of the connection between technological change and wage inequality. I study these issues and believe they are wrong to tightly link digitization and robots to wage inequality and the slow job growth of the 2000s. Although the authors claim “technology is certainly not the only force causing this rise in spreads, but it is one of the main ones” my fear is that this book, like their last one, will fuel the mistaken narrative that technology is responsible for our job and wage problems and that we are powerless to obtain more equitable growth.

Let me start where we agree and where I very much appreciate their argumentation. Brynjolfsson and McAfee are very clear that we are experiencing a dramatic growth in wage, income, and wealth inequality; that living standards have faltered for a significant share of the population; and that these are challenges that must be addressed. They rightly fear that current inequities will generate greater future inequity: They argue that current wealth solidifies and expands inequality through the political process and worry that inequality impedes social mobility—the degree to which a child’s chances are linked to his or her parents’ current station. Inequality begets greater inequality. I appreciate their refutation of denialism and ‘so whatism’.

Their weakest case is that digitization is associated with the slow job growth of the last 15 years. The authors review all the reasons why economists find such a claim untrue, including 200 years of history disproving a link between technology and slow job growth. They propose a few reasons why things may be different now. However, their only evidence is that employment and productivity grew in tandem for many decades but became decoupled in the late 1990s and offer their “reading of technology” as an explanation. In fact, there’s a simple answer to the riddle of slow job growth: slow economic growth resulting from the collapse of two asset bubbles and inadequate policy responses. Job growth occurs when economic growth exceeds productivity. Simply put, if workers can produce 2 percent more this year than last year, the economy can grow 2 percent without adding any employment. Thus, the economy must grow faster than productivity to create jobs, something that has not happened in the unique circumstances of the 2000s.

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