

As artificial intelligence (AI) rapidly reshapes the workplace, new research from University of Âé¶¹´«Ã½ at Mānoa economists finds that a college education continues to provide significant labor market advantages, including higher wages and greater adaptability, even as AI adoption accelerates.
The new blog by Steven Bond-Smith and Rachel Inafuku of the (UHERO) shows that jobs most exposed to AI are typically higher-paying, knowledge-intensive roles that are more likely to require a bachelor¡¯s degree. In Âé¶¹´«Ã½, occupations with the highest levels of AI exposure have median annual wages exceeding $80,000, compared with less than $60,000 for jobs with the lowest exposure.
“AI is transforming the nature of work in uneven ways¡ªraising productivity and skill demands in some sectors while leaving others heavily reliant on human labor—but not the relevance of higher education,” according to the UHERO blog. “Postsecondary education still opens doors to higher-paying, more adaptable careers, and that pattern holds in Âé¶¹´«Ã½ as it does nationally.”
Contrary to concerns that AI will eliminate jobs that typically require a college degree, the research indicates that AI is more likely to change how work is performed rather than replace workers outright. AI tends to automate routine, standardized tasks while complementing roles that rely on judgment, problem-solving and decision-making—skills more common in college-educated occupations. As a result, AI adoption often increases productivity and can raise demand for workers who can effectively use these technologies.
In Âé¶¹´«Ã½, approximately 39,000 workers, or about 7% of total employment, are in occupations within the more lucrative top 10% of AI exposure, a smaller share than the national average of 11%. The difference reflects the state¡¯s industry mix, which includes a larger share of tourism and service-sector jobs that tend to have lower AI exposure. A separate U.S. Treasury analysis similarly ranks Âé¶¹´«Ã½ 32nd among states for AI exposure.
Productivity gains, stable employment
While overall employment effects from AI remain uncertain, research to date suggests limited net job losses. Studies show that productivity gains at AI-adopting firms often offset reductions in routine-task employment, leading to stable employment levels even as job tasks evolve.
At the same time, demand for AI-related skills is rising rapidly. Job postings listing AI skills have increased sharply nationwide and in Âé¶¹´«Ã½, particularly in professional, scientific and technical fields. This trend aligns with broader projections that education beyond high school will be required for roughly 70% of jobs in Âé¶¹´«Ã½ by 2031.
“As technology continues to evolve, investing in higher education remains a reliable way to ensure workers can evolve with it,” according to the blog. “The challenge ahead is not whether education matters, but how institutions, employers and policymakers can align programs to prepare workers for the labor market in the AI era.”
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UHERO is housed in UH ²Ñā²Ô´Ç²¹¡¯²õ .
