This supplemental section, AI/Workforce Automation Risk Assessment, identifies those occupations that are most at risk for automation in the Centralina Region. The assessment will also highlight the risks to occupations for each of the target industry clusters, showing which occupations are most at-risk as well as least at risk of automation. A relative comparison of automation risk of the Charlotte metro against other metros is also included. In addition, we begin with an overview of âAIâ, or Artificial Intelligence and its current and future impacts on the economy and Centralinaâs target industry clusters. This project was funded by the U.S. Economic Development Administration for a COVID-19 Economic Recovery Planning and Technical Assistance Grant under the Coronavirus Aid, Relief, and Economic Security (CARES) Act.
