A Future that Works: Automation, Employment and Productivity - Executive Summary
This report analyzes the potential of automation in the global economy, examining its impact on productivity and employment, and suggests that while automation will displace many jobs, it could also create new ones and boost productivity.
(Generated with the help of GPT-4)
Methods
The research method involved analyzing over 2,000 work activities across 800 occupations, assessing the potential for automation based on current technologies, and creating scenarios for adoption timelines. Factors such as technical feasibility, costs, labor market dynamics, performance benefits, and social acceptance were considered.
(Generated with the help of GPT-4)
Key Insights
Automation is advancing rapidly, with robotics, artificial intelligence, and machine learning potentially automating half of paid activities. This report examines the potential for automation across the global economy, the pace and extent of adoption, and the economic impact, estimating that automation could raise productivity growth globally by 0.8 to 1.4 percent annually. While less than 5% of occupations can be fully automated with current technology, about 60% contain a significant portion of automatable activities. The adoption of automation will vary by sector and country, influenced by technical feasibility, costs, labor market dynamics, performance benefits, and social acceptance. The transition will require businesses to adapt, governments to support displaced workers, and individuals to acquire new skills.
(Generated with the help of GPT-4)
Additional Viewpoints
Categories: 2017 publication year | 2050s time horizon | 2055 time horizon | English publication language | Global geographic scope | artificial intelligence | automation | economic impact | employment | labor markets | machine learning | productivity | robotics | technology adoption | work | workforce transition