Digital transformation accelerates existing workforce inequalities. Our data shows that many of the marginalized communities hardest hit by the COVID-19 pandemic, especially women, Black and Hispanic workers, are also those that are most at risk of job disruption from AI and other emerging technologies.
In our report, Diversity and the Age of Automation, we've analyzed Census data on the US workforce, including analysis on gender and ethnicity, with a focus on five key industries - food services, healthcare, retail, finance and education. We selected these industries for two key factors: a high number of employees in each industry and the potential risk to those employees of contracting COVID-19, due to the nature of their work.
Faethm’s data tracks the impact of AI and robotic technology on the workforce, and analyzes these impacts based on roles, skill level, gender, ethnicity, and other categories. Our data also uncovers areas of overlap between positions, to demonstrate upskilling and reskilling pathways so all workers are brought into the future. Roles are likely to be transformed by these technologies in one of three ways:
automation - the potential risk of replacement of a task by technology augmentation - work made more efficient through technology addition - net new roles that could be added to the workforce to implement, maintain and use different technologies
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