Poster #147 - Economic, Workforce, and Policy Implications of Advanced Manufacturing Technologies in U.S. Industry

• In Event: Friday Poster Reception

Abstract

Advanced manufacturing represents a transformative shift in industrial production, integrating technologies such as additive manufacturing, robotics, and artificial intelligence to move from labor-intensive processes toward highly automated, cyber-physical systems. This transformation is critically important for public policy because it reshapes national competitiveness, workforce demand, and supply chain resilience in an era of geopolitical and economic uncertainty. While prior research has emphasized conceptual frameworks, this study provides empirical insights into cross-sector operational realities and adoption barriers relevant to public policy.
The central research question asks: how does the adoption of advanced manufacturing technologies influence economic competitiveness, workforce development, and policy effectiveness across U.S. industries? Drawing on data from semi-structured surveys with 27 senior stakeholders, including CEOs, CTOs, and principal scientists, from 24 firms (e.g., Tesla, Intel, and Milliken & Company) and three research universities, the study applies thematic analysis to responses from 36 survey questions across eight domains, including cost structures, supply chains, and sustainability.
Findings indicate a fundamental economic reconfiguration: although advanced manufacturing requires substantial upfront capital expenditures, it delivers significant long-term operational cost reductions, ranging from 30% to 70% in certain sectors, through improved yields and automation efficiencies. These technologies also act as a strategic “reset” for global competitiveness, enabling firms to compete on innovation, speed, and quality rather than labor cost differentials, thereby supporting reshoring and friend-shoring and strengthening supply chain resilience and technological sovereignty.
However, the results also reveal critical structural challenges. These include a pronounced “talent bottleneck” at the research-to-production interface and an “ROI mismatch” that discourages workforce entry into manufacturing careers. In addition, inconsistent federal policy support and fragmented regulatory processes create a policy uncertainty environment that slows long-term industrial investment and innovation adoption.
These findings have significant implications for policymakers. They highlight the need for coordinated industrial policy, sustained investment in workforce development, and streamlined regulatory frameworks to support advanced manufacturing adoption at scale. Ultimately, this research demonstrates that without integrated policy and workforce strategies, the United States risks falling behind in the global transition to advanced manufacturing, making this an urgent issue for economic and public policy decision-making.

Author

• Sophia Zhang, Cary Academy
  Presenting Author