The Digital transformation and the rapid integration of artificial intelligence (AI) in both workplaces and domestic settings, will continue to change the world of work and societal participation. Women are underrepresented among internet users in most countries and among AI users, and ICT and STEM graduates (see Education and Skills). Women can be at a disadvantage in accessing resources, such as financial and transport infrastructures or face barriers to economic participation in specific sectors, such as energy and nuclear energy sectors.
OECD Dashboard on Gender Gaps
An international comparison focused on gender equality challenges, outcomes, and policies
Knowledge, Technology and Resources
Young people who can programme
This indicator measures individuals who can code in a programming language by gender.
ICT task-intensive jobs
Human capital is required to embed digital technologies in production. This indicator measures the share of workers with information and communications technology (ICT) task-intensive occupations. It provides a measure of the share of the workforce that performs ICT-related tasks, including and beyond those carried out by ICT specialists. ICT task-intensive occupations include those having a high propensity to include ICT tasks ranging from the use of the Internet to word processing to programming.
AI talent
This indicator measures the proportion of Artificial Intelligence (AI) talent, with AI engineering skills. A LinkedIn member is considered an AI talent if they are occupied in an AI occupation.