The OECD recently released a policy brief on the future of work. The brief states that artificial intelligence and mainstream robots are rapidly increasing their range of activities and the tasks they are able to do. Consequently, the most affected sectors are manufacturing and agriculture, usually for low-skilled labour with low added value. However, not only routine tasks are at stake as robots improve their performance in their cognitive, social and creative abilities. Automation will globally increase productivity but the extent of it will largely depend on the investment of policy, institutions and the rate of innovation diffusion.
The training challenge
First, adult learning systems need to be improved and mainstreamed. Second, the risk of automation and the offer of job-related training are not distributed equally across countries and socio-demographic groups. As the low-skilled labour market is most affected by automation, it is clear that countries where these sectors are prominent, the risk of high unemployment rates is higher.
The OECD recommends the following: