New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.

An accessible and timely guide to increasing female presence and leadership in tech companies Tech giants like Apple and Google are among the fastest growing companies in the world, leading innovations in design and development. The industry continues to see rapid growth, employing millions of people: in the US it is at the epicenter of the American economy. So why is it that only 5% of senior executives in the tech industry are female? Underrepresentation of women on boards of directors, in the C-suite, and as senior managers remains pervasive in this industry. As tech companies are plagued with high-profile claims of harassment and discrimination, and salary discrepancies for comparable work, one asks what prevents women from reaching management roles, and, more importantly, what can be done to fix it? The Future of Tech is Female considers the paradoxes involved in women’s ascent to leadership roles, suggesting industry-wide solutions to combat gender inequality. Drawing upon 15 years of experience in the field, Douglas M. Branson traces the history of women in the information technology industry in order to identify solutions for the issues facing women today. Branson explores a variety of solutions such as mandatory quota laws for female employment, pledge programs, and limitations on the H1-B VISA program, and grapples with the challenges facing women in IT from a range of perspectives. Branson unpacks the plethora of reasons women should hold leadership roles, both in and out of this industry, concluding with a call to reform attitudes toward women in one particular IT branch, the video and computer gaming field, a gateway to many STEM futures. An invaluable resource for anyone invested in gender equality in corporate governance, The Future of Tech is Female lays out the first steps toward a more diverse future for women in tech leadership

New technologies?digitalization, artificial intelligence, and machine learning?are changing the way work gets done at an unprecedented rate. Helping people adapt to a fast-changing world of work and ameliorating its deleterious impacts will be the defining challenge of our time. What are the gender implications of this changing nature of work? How vulnerable are women’s jobs to risk of displacement by technology? What policies are needed to ensure that technological change supports a closing, and not a widening, of gender gaps? This SDN finds that women, on average, perform more routine tasks than men across all sectors and occupations?tasks that are most prone to automation. Given the current state of technology, we estimate that 26 million female jobs in 30 countries (28 OECD member countries, Cyprus, and Singapore) are at a high risk of being displaced by technology (i.e., facing higher than 70 percent likelihood of being automated) within the next two decades. Female workers face a higher risk of automation compared to male workers (11 percent of the female workforce, relative to 9 percent of the male workforce), albeit with significant heterogeneity across sectors and countries. Less well-educated and older female workers (aged 40 and above), as well as those in low-skill clerical, service, and sales positions are disproportionately exposed to automation. Extrapolating our results, we find that around 180 million female jobs are at high risk of being displaced globally. Policies are needed to endow women with required skills; close gender gaps in leadership positions; bridge digital gender divide (as ongoing digital transformation could confer greater flexibility in work, benefiting women); ease transitions for older and low-skilled female workers.

Using individual level data on task composition at work for 30 advanced and emerging economies, we find that women, on average, perform more routine tasks than men?tasks that are more prone to automation. To quantify the impact on jobs, we relate data on task composition at work to occupation level estimates of probability of automation, controlling for a rich set of individual characteristics (e.g., education, age, literacy and numeracy skills). Our results indicate that female workers are at a significantly higher risk for displacement by automation than male workers, with 11 percent of the female workforce at high risk of being automated given the current state of technology, albeit with significant cross-country heterogeneity. The probability of automation is lower for younger cohorts of women, and for those in managerial positions.

McGaw; Joy Parr, Simon Fraser University.

Providing a unique insight into how gender is performed in contemporary high-tech work and introducing a creative and novel way of analyzing the fluidity and rigidity of gender at work through discourse analytic methods the author highlights how changes in the world of work interact with changes in gender relations.

This collection of articles from Gender and Development considers technologies of many kinds, including those intended to save womens labour, to enable them to control their fertility and to learn and communicate using computer technology.