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NewEconomicThinking
NewEconomicThinking·December 3, 2020

The Future of Work: Navigating Automation, Inequality, and the Redirection of Technological Change

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Summary

The discussion centers on how technological innovation, particularly digitalization and automation, impacts labor markets. Daron Acemoglu distinguishes between "displacement" (machines replacing human tasks) and "reinstatement" (new technologies creating new, labor-intensive tasks). He argues that while the post-WWII era until 1980 saw a balance between these forces, leading to shared prosperity, the period since 1980 has been characterized by more displacement than reinstatement. This shift has contributed to a slowdown in productivity growth and a significant increase in labor market inequality, with middle-skill, routine jobs being particularly targeted by automation. Acemoglu emphasizes that technology is not neutral; its path is shaped by institutional frameworks and policy choices. He highlights that the decline in the labor share of manufacturing, without a compensatory rise in other sectors, is a key indicator of this imbalance. He also points out the paradox of skyrocketing digital innovations coinciding with a productivity slowdown, suggesting an unbalanced portfolio of technologies overly focused on automation. The discussion also distinguishes between different types of union impacts, noting that while some (like German work councils) can foster shared gains from automation, others can be contentious or rent-seeking. The conversation explores the critical role of institutional changes. Acemoglu supports a meaningful increase in the minimum wage, arguing it forces employers to pay better and use workers more effectively. For unions, he advocates for building "worker voice" in new ways, citing examples like the United Here union's successful negotiation for a voice in technology deployment and training. He stresses the need for experimentation and a legislative framework that encourages cooperative employer-employee relations, moving away from historical conflict. A major theme is the "redirection of technical change." Acemoglu challenges the notion that technology has a predetermined path, asserting its malleability. He argues that market forces alone won't find the "right" path due to ubiquitous externalities in innovation. He points to factors like the increased power of tech companies, reduced government leadership in blue-sky research, and global competition driving labor cost reduction as contributors to the current automation-heavy trajectory. He also highlights the distortionary effect of the U.S. tax system, which disproportionately favors capital investment over labor, further incentivizing automation even when it doesn't yield significant productivity gains. The concept of "human-friendly technology" is introduced, defined as technology that creates new tasks and functions for labor, requiring government leadership, R&D support, and strategic procurement to foster its development and widespread adoption.

Key Quotes

technology always and everywhere has major distributional consequences
we think of automation as displacing workers from the tasks they used to perform because now they can be performed by machines or algorithms but at the same time new organizations new technologies new products create new tasks that are labor intensive that reinstate labor centrally into the production process
since 1980 there's been a real shift a discernible shift in both the well in in three factors one slow down in productivity growth two more displacement than reinstatement and three among workers a substantial increase in inequality from the top of the labor market towards the middle and bottom of the labor market
we are not adopting a balanced portfolio of technologies so we are going too much in the direction of automation too much following a particular vision running into diminishing returns and not exploiting other very fruitful directions
these were jobs in the middle of the income distribution that were very critical for you know for lack of a better term i'll use it as american dream meaning workers who didn't come from very well-off backgrounds often did not have very good education... but then could get into relatively high wage manufacturing jobs or jobs in in in the in some specialized service industries that was very important for building a middle-class existence and these are exactly the jobs that automation targeted
I think it's critical that we think of technology as embedded in institutional frameworks
there is no natural neutral innovation there is no natural path of technology it's what technology is what we make it technology is what we imagine it and every different piece of technology creates winners and losers
technology is extremely malleable we decide where it goes so that's why i think this conversation about redirecting technological change is vital and we are very late in realizing that
if you look at the u.s tax system... we treat capital more favorably than labor
human friendly technologies especially those technologies that create new tasks new functions for labor
the government needs to show some leadership in encouraging certain areas and that starts by government employing some of the best scientists so that they can actually spearhead that vision

Concepts

Themes

  • The evolving relationship between technology and labor
  • The drivers and consequences of economic inequality
  • The role of institutions and policy in shaping economic outcomes
  • The malleability and direction of technological change
  • The paradox of innovation and productivity slowdown
  • Rethinking the social contract in the digital age
  • The need for government leadership in technological development

Related to:

Economics Insights

Market Implications

  • Increased inequality, productivity slowdown, shift in labor demand, cost savings for firms, unbalanced technology portfolio.

Key Concepts

  • Displacement, reinstatement, labor share, tax asymmetry, human-friendly technology, worker voice.

Data Cited

  • Decline in labor share of manufacturing, skyrocketing digital patents, capital taxation at 5% or less vs. labor at 25%.

Practical Applications

  • Meaningful minimum wage increase, new models for worker organizations (e.g., work councils), government procurement for human-friendly tech, AI for targeted education.

Risks Mentioned

  • Diminishing returns from excessive automation, conflictual union relations, "wrong kind of automation" due to tax incentives, precluding diversity in innovation.

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