ANALYSING THE IMPACT OF TECHNOLOGY ADOPTION ON EFFICIENCY IN US WHOLESALE AND DISTRIBUTION: A COMPREHENSIVE REVIEW OF ANALYTICAL STRATEGIES

Abstract

The adoption of Artificial Intelligence (AI) and its integration with other digital technologies is reshaping the operational landscape of US firms, with significant implications for the wholesale and distribution sectors. Drawing on insights from the Advanced Business Survey (ABS) technology module, this study evaluates the impact of Artificial Intelligence (AI) on the efficiency and innovation within the U.S. wholesale and distribution sectors. Analysing data from over 30 peer-reviewed articles, it investigates AI's pervasiveness and correlation with various business outcomes. Findings indicate a marked increase in AI adoption, contradicting prior forecasts of widespread unemployment and suggesting a complex interplay with job creation and skill evolution. This study highlights the synergistic potential when AI is integrated with other technologies, affirming theories of technological complementarities. It also addresses the role of policy in fostering an environment conducive to the growth of an AI-augmented workforce. The implications of this research extend to the formulation of strategies that ensure businesses capitalise on AI's benefits, and it paves the way for future inquiries into the longitudinal consequences of AI within the economic fabric. The study's conclusions advocate for ongoing adaptation and investment in human capital as essential components of thriving in the rapidly advancing technological era.