The Macomb Community College Artificial Intelligence (AI) Impact Assessment examines how emerging technologies—including artificial intelligence, automation, and advanced digital tools—are influencing workforce demand, skills requirements, and training opportunities across Southeast Michigan (Macomb, Oakland and Wayne counties). Research from the assessment identifies growing demand for technology skills such as automation, agile development, and AI capabilities, alongside foundational skills like communication, problem-solving, and project management that employers continue to prioritize. Join leaders from industry, education, workforce development, and government for a dynamic conversation about how artificial intelligence is transforming the regional economy and shaping the future of work during an AI Summit on Friday, May 1 at Macomb Community College. Register today!
Drawing on regional job posting data, workforce profiles, and employer interviews, the report highlights several critical findings:
- AI is becoming a baseline workforce skill, not a niche specialization.
AI-related skills now appear across a wide range of occupations and industries, including manufacturing, healthcare, finance, logistics, and professional services. Rather than being confined to technology roles, AI competencies are increasingly embedded in everyday work. - Employer demand for AI skills is growing faster than workforce supply.
AI-related skills appear in 34% of relevant job postings in the region, but are only listed by 1% of workers in their profiles. This gap signals a significant mismatch between employer needs and available talent. - AI is primarily augmenting work, not replacing workers.
Evidence from job posting data and employer interviews indicates that AI is most often used to automate routine tasks and support decision-making, rather than eliminate jobs outright. However, this shift is raising skill expectations across nearly all occupations. - Entry-level roles are changing, with higher skill thresholds.
Employers increasingly expect new hires to arrive with practical AI literacy, even for early-career and associate-degree roles. As a result, traditional entry-level pathways are narrowing, and preparation before labor market entry is becoming more critical. - Technical and human skills are both essential.
Demand is rising for technical skills such as automation, robotics, machine learning, Python, and data analysis—particularly in associate- and bachelor-level roles. At the same time, employers consistently emphasize non-automatable skills, including communication, critical thinking, troubleshooting, ethical reasoning, and adaptability. - AI literacy should be treated as a core educational outcome.
The findings suggest that AI skills should be embedded across programs rather than isolated in specialized courses. Effective preparation emphasizes human–AI collaboration, applied learning, responsible use, and the ability to evaluate and validate AI-generated outputs. - Security, privacy, and ethical use are growing workforce priorities.
Employers report increasing concern around data protection, bias, and responsible AI use, reinforcing the need to integrate these topics into education and training alongside technical instruction.
Together, these findings show that AI is no longer a future consideration—it is already reshaping skill requirements across the regional economy. The report provides data-driven insights to support educators, workforce partners, employers, and policymakers as they prepare learners and workers for an AI-enabled labor market.
This report is informed by a mixed‑methods approach that combines labor market data analysis, workforce profile data, and qualitative insights from industry representatives. Quantitative analysis draws primarily on job posting and workforce profile data provided by Lightcast (2025), supplemented by federal data from the U.S. Bureau of Labor Statistics (BLS) and the U.S. Census Bureau, where
applicable. These data sources were used to examine trends in artificial intelligence–related skill demand across industries, occupations, and education levels at the regional, state, and national scales.
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The Workforce Intelligence Network (WIN) would like to acknowledge Macomb Community College for its partnership and leadership in advancing this Artificial Intelligence Impact Assessment. This project reflects a shared commitment to understanding how emerging technologies are reshaping education, work, and workforce preparation across the region. This material is based upon work supported by the U.S. Department of Education under Award Number P116Z230184.
A sincere appreciation to the industry professionals who participated in interviews for this study. Their willingness to share real‑world experiences and insights into AI adoption, workforce impacts, and skill needs was essential to grounding the analysis in lived practice.
This report was produced by the Workforce Intelligence Network (WIN), whose research team conducted the data analysis, interviews, and synthesis of findings. WIN also acknowledges the data providers and researchers whose work informed this assessment, including Lightcast, the U.S. Bureau of Labor Statistics, the U.S. Census Bureau, and the academic and policy researchers cited throughout the report.
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