A new Centre for Research on Self-Employment (CRSE) think piece by Terri Griffith, Chester Spell, Katerina Bezrukova and Athena Floro, found that the lowest paid self-employed are most at risk of computerisation.

The piece brings together evidence-based perspectives on both artificial intelligence (AI) and self-employment and finds that the lowest paid and largest categories of the self-employed, including sales, agricultural workers, drivers and construction are at the highest risk of computerisation.

The think piece also found that the self-employed could be uniquely at risk of automation given their lack of deep financial support (vis-à-vis corporate employees) or clear institutional support. They are also less likely to have access to and/or power over resources related to AI technology.

The piece suggests that there are number of things that can help to mitigate the harmful effects of AI and automation for the self-employed including: creating awareness programs to highlight the basic opportunities and risks of AI; updating formal learning platforms to ensure job profiles integrate shifting skills and supporting further research in the area.

Read the full think piece here.