This paper develops a task-adjusted, country-specific measure of workers’ exposure to artificial intelligence (AI) across 103 countries, covering approximately 86% of global employment. Accounting for within-occupation task differences significantly amplifies the development gradient in AI exposure. We attribute these differences primarily to cross-country differences in ICT use intensity, followed by occupational composition, human capital and globalisation-related firm characteristics.
Measuring worker-level job tasks of Ukrainian war refugees in Poland, we find substantial task degradation, namely performing more routine-intensive jobs in Poland after displacement than in Ukraine before the full-scale war. People who experience a greater task degradation were more likely to plan to return to Ukraine by 2023, particularly those who initially, in 2022, did not plan to return.
Using a a discrete choice experiment with 10,000 people in Poland, we examine public preferences for policies to achieve energy security and climate change mitigation goals in the context of the energy crisis caused by Russia’s invasion of Ukraine. We find a strong aversion to carbon tax, only slightly mitigated by redistribution. Income, trust, and age shape preferences for climate and energy policies, and for redistribution mechanisms.
Using a tailored, quantitative survey in Poland, we study taxi and delivery platform drivers' working conditions and job quality. Migrants' job quality is noticeably lower regarding contractual terms of employment, working hours, work–life balance, multidimensional deprivation and job satisfaction. Migrants who started a platform job immediately after arriving in Poland, usually as taxi drivers, are particularly deprived.
We study the effect of the adoption of automation technologies – industrial robots, and software and databases – on the incidence of atypical employment in 13 EU countries between 2006 and 2018. Industrial robots significantly increase atypical employment share, mostly through involuntary part-time and involuntary fixed-term work. There's no effect of software and databases. Higher trade union density mitigates the robots’ impact on atypical employment, while employment protection legislation plays no role.
We study workers’ and employers’ preferences for remote work, estimating the willingness to pay for it using discrete choice experiments with more than 10,000 workers and more than 1,500 employers in Poland. Both workers and employers prefer hybrid over fully-remote work. However, only 25-35% of employers – those with positive views on remote work productivity and high-quality talent management – value remote work costs in line with workers’ willingness to pay, particularly in non-routine cognitive occupations.
