Artificial intelligence and automation: creating a more resilient United States workforce
Abstract
This study investigates the impact of Artificial Intelligence (AI) and automation on the United States workforce, aiming to contribute to the creation of a more resilient workforce. The problem statement identifies the potential negative consequences of job displacement and socioeconomic disparities resulting from the integration of AI and automation technologies. The objective is to assess the extent of this impact, analyse existing initiatives and policies, and propose recommendations for fostering workforce resilience. A qualitative approach using manual content analysis is employed to review relevant literature. Findings reveal the multifaceted nature of AI's impact, the diverse landscape of upskilling initiatives, and the importance of collaborative efforts. Implications include the need for adaptive policies, targeted programs, and cohesive collaborations to ensure a resilient and inclusive workforce amidst technological advancements. This study contributes to knowledge by providing nuanced insights into the challenges and strategies associated with AI and automation's impact on the US workforce.
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