Technological Substitution of Jobs in the Digital Economy and Shift in Labor Demand Towards Advanced Qualifications

А. А. Akaev, A. I. Rudskoy () and Tessaleno Devezas ()
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А. А. Akaev: Institute for Mathematical Research of Complex Systems, Moscow State University named after M.V. Lomonosov
A. I. Rudskoy: Peter the Great Saint Petersburg Polytechnic University
Tessaleno Devezas: Atlantica—Instituto Universitário

A chapter in The Economics of Digital Transformation, 2021, pp 85-103 from Springer

Abstract: Abstract This chapter addresses three key labor market challenges that occur as a result of the digital transformation of the economy: shift in labor demand towards advanced qualifications; the continuous growth of structural technological unemployment; and the polarization of labor into high- and low-skilled positions, while middle-skilled jobs are being eroded. The authors propose mathematical models that allow to observe the distribution of labor by skill level, as well as the distribution of the probability curve of technological substitution of labor dependent on the skill level, and calculate the effective share of low-, medium-, and high-skilled workers before and after the digital transformation of the economy. A solution to the differential equation describing the increase in productivity of a worker in the digital economy, where they interact in symbiosis with intelligent machines, is also presented in this chapter. This solution allows us to make forecasts of optimal wage growth for workers in the digital age, assuming that it is proportional to productivity growth. It is shown that the optimal increase in the salary of a high-skilled worker should occur at a rate of 7% per year and double in 10 years.

Keywords: Technological substitution of jobs; Technological shift in labor demand; Polarization of labor; Labor productivity; Optimal wage (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-59959-1_6

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