Jobs Lost, Jobs Gained: Workforce Transitions in a Time of Automation

This report examines the potential impact of automation on the global workforce, estimating that up to 375 million workers may need to switch occupational categories by 2030 due to automation. The analysis includes scenarios for job creation and displacement, implications for skills and wages, and strategies for managing workforce transitions.

(Generated with the help of GPT-4)

The research method involves modeling scenarios for the adoption of automation technologies and their impact on labor demand across 46 countries. It considers factors such as technical feasibility, labor market dynamics, economic benefits, and social acceptance. The analysis also includes a macroeconomic model to understand the dynamic effects of automation on productivity, employment, and GDP growth.

(Generated with the help of GPT-4)

The research analyzes the effects of automation technologies, including artificial intelligence and robotics, on jobs and the economy. It explores how jobs will change, which occupations will grow or decline, and the skills that will be in demand. The report also discusses the potential for job polarization in advanced economies and the need for large-scale worker transitions and retraining.

(Generated with the help of GPT-4)

Categories: 2017 | English publication language | artificial intelligence | automation | economic growth | education | employment | future and emerging technologies | governance | income support | industry | innovation | job displacement | jobs and skills | labor market dynamism | labour market | occupational change | policy recommendations | skills demand | technological disruption | technology | wage trends | workforce retraining