New Research Details AI Impact on Wisconsin Workforce
The study finds business and science jobs face higher automation likelihood compared to manual labor sectors.
Updated on Oct. 21, 2026 in Artificial Intelligence
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University of Wisconsin-Milwaukee professor Rina Ghose recently presented research detailing how AI adoption varies across state industries. The analysis, which examined workforce trends between 2018 and 2025, suggests that white-collar and specialized sectors face higher exposure to AI-driven changes than manual labor roles.
Why it matters
Understanding which occupations are most susceptible to automation is critical for state workforce development and job security. The findings highlight an ongoing economic shift in Wisconsin as corporate investment in AI infrastructure continues to scale.
The research measured regional AI development through patent filings, which totaled 2,890 across ten cities from 2022 to 2024. GE Precision Healthcare currently leads the state with 536 patent filings, serving as a primary benchmark for AI activity in Wisconsin.
The players
Rina Ghose
A professor at the University of Wisconsin-Milwaukee who researches labor trends and workforce disruption caused by emerging technology.
Microsoft
A global technology company that provides cloud services and infrastructure, having invested $3.3 billion in Wisconsin projects.
GE Precision Healthcare
A medical technology company that leads Wisconsin industry in AI patent filings with 536 total registrations.
The details
Rina Ghose analyzed labor data from 2018 to 2025 to categorize industries by their likelihood of AI integration. The study identifies management, business, science, and arts positions as having the highest exposure to automated processes. Conversely, roles in natural resources, construction, and maintenance showed the lowest likelihood of AI impact. The analysis draws on regional patent activity to map the intersection of technological development and workforce disruption.
Timeline
2018-2025: Period of AI workforce trend research.
2022-2024: Window for AI patent filings in ten Wisconsin cities.
May 2025: Rina Ghose received research funding from Microsoft.
October 20, 2026: Research findings presented at UW-Milwaukee.
The Tech Race
This research tracks Wisconsin's standing in the national automation race as firms like GE Precision Healthcare drive regional patent activity. It follows the pattern established by institutional efforts to quantify localized labor displacement caused by emerging AI models.
Professionals in business, science, and management sectors in Wisconsin should anticipate increasing integration of automated tools in their workflows. The findings suggest that those in manual labor fields will likely see less immediate disruption to their daily tasks.
The takeaway
The study suggests that AI adoption disproportionately affects cognitive-heavy professions rather than manual trade industries. Readers should watch for future reports on the economic outcomes of the $3.3 billion Microsoft project in Wisconsin to track regional job shifts.
Further reading
Explore deeper insights on regional technology adoption in our Artificial Intelligence section.
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