This new research explores potential patterns in “jobs lost” (jobs displaced by automation), “jobs gained” (job creation driven by economic growth, investment, demographic changes, and technological innovation), and “jobs changed” (jobs whose activities and skill requirements change from partial automation) for women by exploring several scenarios of how automation adoption and job creation trends could play out by 2030 for men and women given current gender patterns in the global workforce.
These scenarios are not meant to predict the future; rather, they serve as a tool to understand a range of possible outcomes and identify interventions needed. We use the term jobs as shorthand for full-time-equivalent workers.
The research examines six mature economies (Canada, France, Germany, Japan, the United Kingdom, and the United States) and four emerging economies (China, India, Mexico, and South Africa), which together account for around half of the world’s population and about 60 percent of global GDP.