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Abstract Automation is likely to impact on developing countries in
different ways to the way automation affects high-income countries. The
poorer a country is, the more jobs it has that are in principle automatable
because the kinds of jobs common in developing countries—such as
routine work—are substantially more susceptible to automation than
the jobs that dominate high-income economies. This matters because
employment generation is crucial to spreading the benefits of eco-
nomic growth broadly and to reducing global poverty. We argue that
the rise of a global “robot reserve army” has profound effects on labor
markets and structural transformation in developing countries, but
rather than causing mass unemployment, AI and robots are more likely
to lead to stagnant wages and premature deindustrialization. As agri-
cultural and manufacturing jobs are automated, workers will continue
to flood the service sector. This will itself hinder poverty reduction and
likely put upward pressure on national inequality, weakening the pover-
ty-reducing power of growth, and potentially placing the existing social
contract under strain. How developing countries should respond in
terms of public policy is a crucial question, affecting not only middle-in-
come developing countries, but even the very poorest countries.
Keywords Automation · Digitization · Labor-saving technology ·
Developing countries · Economic development · Jobs
CHAPTER 1
Introduction
© The Author(s) 2020
L. Schlogl and A. Sumner, Disrupted Development and the Future
of Inequality in the Age of Automation, Rethinking International
Development series, https://doi.org/10.1007/978-3-030-30131-6_1
Disrupted Development and the Future of Inequality in the Age of Automation