Human resource executives at companies that are investing in artificial intelligence (AI) technology can expect to scout for higher-skilled IT workers as demand for their skills rises. They will also be faced with managing labor composition disruptions and workforce reorganizations as more companies use AI's predictive technology capabilities to solve business problems.
In a recently published research paper titled Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition, professors from Columbia University; the University of California, Berkeley; and the University of Maryland pored over almost a decade's worth of data and found that AI adoption will change the employment landscape as well as HR managers' priorities.
Researchers examined changes in labor outcomes from 2010 to 2018 using several datasets, sourced from Cognism Inc., a London-based sales intelligence firm.
Researchers also used 180 million job postings provided by Boston-based Burning Glass Technologies, an analytics software company that conducts research on labor market trends. The data details job descriptions and specific requirements such as years of education and experience.
Additional data sources were wage and education data grouped by commuting zone from the U.S. Census Bureau's American Community Survey and wage and employment data grouped by industry from the U.S. Census Quarterly Workforce Indicators. From Compustat, researchers obtained firm-level data on operational variables such as sales, cash and assets.
The research shows that when companies invested in AI, there was a corresponding demand for workers who possess undergraduate and graduate degrees in the science, technology, engineering and mathematics (STEM) fields.
Continue reading: https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/ai-adoption-will-cause-workforce-reorganization.aspx
In a recently published research paper titled Firm Investments in Artificial Intelligence Technologies and Changes in Workforce Composition, professors from Columbia University; the University of California, Berkeley; and the University of Maryland pored over almost a decade's worth of data and found that AI adoption will change the employment landscape as well as HR managers' priorities.
Researchers examined changes in labor outcomes from 2010 to 2018 using several datasets, sourced from Cognism Inc., a London-based sales intelligence firm.
Researchers also used 180 million job postings provided by Boston-based Burning Glass Technologies, an analytics software company that conducts research on labor market trends. The data details job descriptions and specific requirements such as years of education and experience.
Additional data sources were wage and education data grouped by commuting zone from the U.S. Census Bureau's American Community Survey and wage and employment data grouped by industry from the U.S. Census Quarterly Workforce Indicators. From Compustat, researchers obtained firm-level data on operational variables such as sales, cash and assets.
The research shows that when companies invested in AI, there was a corresponding demand for workers who possess undergraduate and graduate degrees in the science, technology, engineering and mathematics (STEM) fields.
Continue reading: https://www.shrm.org/resourcesandtools/hr-topics/technology/pages/ai-adoption-will-cause-workforce-reorganization.aspx
