BENGALURU: A new report from the World Economic Forum (WEF) called "The Future of Jobs" expects that women are going to fall back the most when robots take over this world. The report says that when robots, artificial intelligence, and automation will take over the global population, women will be the first ones to become unemployed, reports Business Insider.

The reasons for which women will lose out in the race as mentioned in the report are as follows:

Firstly, the domination of tech jobs will lessen the scope for women.

Secondly, the birth of 2.1 million jobs will extinct some job roles specializing in areas like computing, math, architecture, and engineering. Women do have ‘low participation in high growth skills’ and thus, employability of women will go down.

STEM (science, technology, engineering, mathematical) professions are presently one of the fastest growing sector for jobs and women will lose out here as well, according to the report. Statistics claim that one out of four women will be successful in pursuing a STEM job.

Saadia Zahidi, Head of the Global Challenge on Gender Parity at the World Economic Forum comments in the report, "There is a unique opportunity at present to address long-existing gender divides in the economy. If we don't take advantage of this, we will see more gender segregation in the workforce, affecting wages and livelihoods, not to mention greater economic inequality in society as a whole."

This report by WEF coincides with the annual Davos meeting scheduled this week with theme "The Fourth Industrial Revolution." It predicts a net loss of 5million jobs in the labour market of 15 major developed and emerging economies by 2020.

Australia, China, France, Germany, India, Italy, Japan, Britain, and the United States are countries considered to face this transformation in labour market.

The WEF survey is based on 350 large global organizations including 150 from the Fortune Global 500 List. WEF claims to have report on 1,300 detailed occupation-level data points of mass labour market based in particular geographical locations.

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