Here is an excerpt from an article written by Anu Madgavkar, James Manyika, Mekala Krishnan, Kweilin Ellingrud, Lareina Yee, Jonathan Woetzel, Michael Chui, Vivian Hunt, and Sruti Balakrishnan for the McKinsey Quarterly, published by McKinsey & Company. To read the complete article, check out others, learn more about the firm, and sign up for email alerts, please click here.
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Concerted and creative new solutions are needed to enable women to seize new opportunities in the automation age; without them, women may fall further behind in the world of work.
The age of automation, and on the near horizon, artificial intelligence (AI) technologies offer new job opportunities and avenues for economic advancement, but women face new challenges overlaid on long-established ones. Between 40 million and 160 million women globally may need to transition between occupations by 2030, often into higher-skilled roles. To weather this disruption, women (and men) need to be skilled, mobile, and tech-savvy, but women face pervasive barriers on each, and will need targeted support to move forward in the world of work.
A new McKinsey Global Institute (MGI) report, The future of women at work: Transitions in the age of automation (PDF–2MB), finds that if women make these transitions, they could be on the path to more productive, better-paid work. If they cannot, they could face a growing wage gap or be left further behind when progress toward gender parity in work is already slow.
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.
TABLE OF CONTENTS
- Women and men face a similar scale of potential job losses and gains, but in different areas
- Women’s jobs may be more prone to partial automation than being entirely displaced by automation
- Between 40 million and 160 million women globally may need to transition between occupations
- Women will need to be skilled, mobile, and tech savvy to adapt to the new world of work
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Here is a direct link to the complete article.
Anu Madgavkar is a partner of the McKinsey Global Institute, where James Manyika is chairman and a director, Mekala Krishnan is a senior fellow, Jonathan Woetzel is a director, and Michael Chui is a partner. Kweilin Ellingrud is a senior partner in McKinsey’s Minneapolis office. Lareina Yee is a senior partner in the San Francisco office and chief diversity and inclusion officer for McKinsey. Vivian Hunt is a senior partner and managing partner for McKinsey in the United Kingdom and Ireland. Sruti Balakrishnan is a consultant based in Chicago.