Market power and artificial intelligence work on online labour markets
Frank Mueller-Langer and
Authors registered in the RePEc Author Service: Néstor Duch Brown
Research Policy, 2022, vol. 51, issue 3
We investigate three alternative but complementary indicators of market power on one of the largest online labour markets (OLMs) in Europe: (1) the elasticity of labour demand, (2) the elasticity of labour supply, and (3) the concentration of market shares. We explore how these indicators relate to an exogenous change in platform policy. In the middle of the observation period, the platform made it mandatory for employers to signal the rates they were willing to pay as given by the level of experience required to perform a project, i.e., entry, intermediate or expert level. We find a positive labour supply elasticity ranging between 0.06 and 0.15, which is higher for expert-level projects. We also find that the labour demand elasticity increased while the labour supply elasticity decreased after the policy change. Based on this, we argue that market-designing platform providers can influence the labour demand and supply elasticities on OLMs with the terms and conditions they set for the platform. We also explore the demand for and supply of AI-related labour on the OLM under study. We provide evidence for a significantly higher demand for AI-related labour (ranging from +1.4% to +4.1%) and a significantly lower supply of AI-related labour (ranging from -6.8% to -1.6%) than for other types of labour. We also find that workers on AI projects receive 3.0%-3.2% higher wages than workers on non-AI projects.
Keywords: Online labour markets; Artificial intelligence; Market power; Exogenous change in platform policy (search for similar items in EconPapers)
JEL-codes: D40 J40 (search for similar items in EconPapers)
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Working Paper: Market Power and Artificial Intelligence Work on Online Labour Markets (2022)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:respol:v:51:y:2022:i:3:s0048733321002389
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