Artificial intelligence and automation: creating a more resilient United States workforce

  • Ifeoluwa Oladele Texas A&M University
  • Adeyinka Orelaja Austin Peay State University, Clarksville, Tennessee.
  • Adeniyi Habeeb Hameed College of Business. Southern University A & M College, Baton Rouge Louisiana
Keywords: AI integration, automation, workforce resilience, United States

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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Author Biographies

Ifeoluwa Oladele, Texas A&M University

Ifeoluwa is an Ethical AI researcher and business analyst. With a career spaning over 8 years in the digital finance and research industry, Ifeoluwa strives to contribute to the advancement of technology with the human in mind. She holds a Master of Science degree in Business Analytics, from Texas A&M University, and a Bachelor of Science in Economics from Redeemer’s University, Osun State, Nigeria.  Ifeoluwa excels at ethical implications and governance of artificial intelligence and advanced analytics for business decision making.

 

Adeyinka Orelaja, Austin Peay State University, Clarksville, Tennessee.

Adeyinka is a highly skilled professional with a Master's in Computer Science and a Bachelor's in Mathematics. She specializes in predictive analytics, marketing technology solutions, machine learning, and data-driven decision-making. With over 10 years of experience, she excels at enhancing the integrity of financial systems and safeguarding user security by leveraging advanced AI models and statistical techniques. Her work significantly contributes to national interests by fortifying cybersecurity infrastructure and ensuring a secure financial environment. Her passion is to see that the integration of technology enhances workforce retention and resilience.

Adeniyi Habeeb Hameed, College of Business. Southern University A & M College, Baton Rouge Louisiana

Hameed is a seasoned professional with a Master's in Business Administration and a Bachelor's in Economics, specializing in strategic planning, financial management, organizational leadership, and business development. With over 5 years of experience in business management, he excels at driving company growth and profitability through advanced business strategies and financial analysis. His expertise in corporate finance, market analysis, and risk management plays a crucial role in achieving business objectives and enhancing organizational performance. Currently, he works with Hershey company as a Retail Sales Lead, where he oversees sales operations, develops strategic retail initiatives, and ensures optimal product placement and promotion to maximize revenue and market share

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PDF Downloads: 179
Published
2024-08-31
How to Cite
Oladele, I., Orelaja, A., & Hameed, A. H. (2024). Artificial intelligence and automation: creating a more resilient United States workforce. Social Development and Security, 14(4), 91-104. https://doi.org/10.33445/sds.2024.14.4.7
Section
Engineering and Technology