This working paper from Bruegel uses generative AI (GenAI) occupational exposure scores (how likely a particular job or occupation is to be affected by or automated through GenAI technologies) to assess how GenAI impacts the European labour market.
The analysis reveals that jobs held by women, highly educated, and younger workers are more exposed to GenAI technology. Additionally, within the same occupations, less-experienced or less-skilled workers experience the largest productivity gains from GenAI support. The paper argues that task-based analyses are more effective than ability-based ones for guiding GenAI adoption and assessing job quality impacts.
The study recommends policies to help workers adapt to technological disruption, such as training and social safety nets. It also suggests interventions to redirect future labour demand towards better jobs by promoting job redesign and organisational agility. Encouraging organisations to adopt flexible and adaptive strategies can help them better integrate GenAI into their processes, allowing for new roles to emerge and reducing potential negative impacts on employment. Monitoring GenAI’s employment effects and researching the ‘jagged technological frontier’ is crucial to understanding the impact of this transformational technology.
Source: European Digital Skills & Jobs Platform
