Difference between revisions of "Driving Force: Automation and the future of work (Jose Luis)"

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==Enablers:==
==Enablers:==
*Access to education and information gives women the knowledge to work in different fields and the power to make their own choices.
*IoT and software/hardware connectedness
*Electricity and automation facilitate day-to-day activities and allow more time to be spent on education, self-care, and work. Also, with the possibility of remote work, women can manage better their time among family and work activities.
*Democratization of formal and technical education
*Access to health care and health information.
*Technological advancement/Moore’s Law
*Scientific research and medical advances.
*Investments in infrastructure and smart buildings
*Economical development and better life quality (poverty reduction).
*Interest in renewable energy/energy efficiency


==Inhibitors:==
==Inhibitors:==
*Limiting traditions and beliefs.
*Weak academia-industry link
*Migration.
*Lack of digital savviness
*Conflicts and disputes.
*Increasing training costs
*Inflexible/regulated job markets
*Low transition support policies


==Paradigms:==
==Paradigms:==
Women in leadership increase revenues and profitability.
Whatever I studied now or will study in the future will guarantee my entire working life
Women in the workforce have contributed to more than 25% of overall growth in GDP.


==Experts:==
==Experts:==
*United Nations (UN) - https://www.undp.org/sustainable-development-goals
*Caroline Castrillon, founder of Corporate Escape Artist
*World Health Organization (WHO) - https://www.who.int/
*Monserrat Bustelo, senior specialist in the IDB’s Gender and Diversity Division
*United Nations Economic Commission for Europe (UNECE) - https://unece.org
*Aditi Mohapatra, Former Managing Director, BSR
*Melinda Gates - https://www.gatesfoundation.org/
*Katie Abbott, Former Manager, Inclusive Economy, BSR


==Timing:==
==Timing:==
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*https://www.mckinsey.com/featured-insights/diversity-and-inclusion/ten-things-to-know-about-gender-equality
*https://www.mckinsey.com/featured-insights/diversity-and-inclusion/ten-things-to-know-about-gender-equality
*https://www.bcg.com/publications/2020/how-reskilling-can-transform-future-work-women
*https://www.bcg.com/publications/2020/how-reskilling-can-transform-future-work-women
*
*https://www.mckinsey.com/featured-insights/future-of-work/jobs-lost-jobs-gained-what-the-future-of-work-will-mean-for-jobs-skills-and-wages
*https://www.bsr.org/en/our-insights/blog-view/can-we-create-a-future-of-work-that-works-for-women
*https://www.oecd.org/employment/Going-Digital-the-Future-of-Work-for-Women.pdf
*https://www.mckinsey.com/featured-insights/future-of-work/retraining-and-reskilling-workers-in-the-age-of-automation

Latest revision as of 00:12, 8 December 2021

Description:

Growing automation adoption adds to the challenges that women face in the workplace. MGI research found that the share of women whose jobs are replaced by machines and will likely need to make job transitions due to automation is roughly the same as for men: up to one in four over the next decade may have to shift to a different occupation. Between 40 million and 160 million women globally may need to transition between occupations by 2030, often into higher-skill roles.

The particular challenge for women is that long-standing barriers make it harder for them to adapt to the future of work. Women and men alike need to develop (1) the skills that will be in demand; (2) the flexibility and mobility needed to negotiate labor-market transitions successfully; and (3) the access to and knowledge of technology necessary to work with automated systems, including participating in its creation. Unfortunately, women often face long-established and pervasive structural and societal barriers that could hinder them in all three of these areas.

Enablers:

  • IoT and software/hardware connectedness
  • Democratization of formal and technical education
  • Technological advancement/Moore’s Law
  • Investments in infrastructure and smart buildings
  • Interest in renewable energy/energy efficiency

Inhibitors:

  • Weak academia-industry link
  • Lack of digital savviness
  • Increasing training costs
  • Inflexible/regulated job markets
  • Low transition support policies

Paradigms:

Whatever I studied now or will study in the future will guarantee my entire working life

Experts:

  • Caroline Castrillon, founder of Corporate Escape Artist
  • Monserrat Bustelo, senior specialist in the IDB’s Gender and Diversity Division
  • Aditi Mohapatra, Former Managing Director, BSR
  • Katie Abbott, Former Manager, Inclusive Economy, BSR

Timing:

Web Resources: