New Research Models Uncover AI's Impact on Employment Risks and Job Futures
Northeastern and Howard University researchers investigate AI's dual impact on job loss risks and future job creation.
- • Northeastern University develops a model to measure job loss risk due to AI.
- • Howard University analyzes future job creation in the face of AI advancements.
- • Research highlights the complexities of AI's impact on employment dynamics.
- • Studies aim to guide policy and workforce training programs for an AI-driven economy.
Key details
As concerns over artificial intelligence continuing to reshape job markets grow, recent research has brought forth significant insights into employment risks associated with AI. Northeastern University and Howard University researchers are spearheading projects aimed at understanding these dynamics, emphasizing the importance of analytics in labor economics.
At Northeastern University, a researcher is developing a model specifically designed to measure the risk of job loss due to AI advancements. This innovative tool aims to help policymakers and industries better anticipate and mitigate unemployment risks associated with automation, particularly as AI capabilities expand. According to the researcher, this model incorporates various economic factors and an in-depth analysis of industries most susceptible to disruption, providing a nuanced approach to understanding potential job losses in the coming years.
Meanwhile, Howard University is engaging in a separate but related NSF-funded investigation to forecast the future landscape of AI jobs. This study is set to illuminate how emerging AI technologies are creating new job opportunities while also identifying which jobs may become obsolete. The researcher noted that the project seeks not only to address the immediate effects of AI on employment but also to propose educational pathways and training programs that can better prepare the workforce for the evolving job market.
Both research initiatives underscore a critical juncture, as the integration of AI into various sectors continues to accelerate. The Northeastern model is positioned as a proactive tool for anticipating job market fluctuations, while Howard's project highlights the dual nature of AI as both a threat and a potential source of new job creation. Together, they provide a comprehensive view of the complexities surrounding AI's impact on employment, contributing valuable insights that could guide future policy and workforce strategies.