MGCCC was recognized as a Bellwether Finalist for its role in developing the Mississippi Artificial Intelligence Network (MAIN), the nation’s first statewide artificial intelligence workforce initiative. From left with the trophy are Dr. Jonathan Woodward, Vice President of Teaching & Learning and Community Campus; Dr. Mary S. Graham, MGCCC President; and Dr. Kollin Napier, Director of MAIN, at the 2026 Community College Futures Assembly in San Antonio, Texas.
MGCCC was recognized as a Bellwether Finalist for its role in developing the Mississippi Artificial Intelligence Network (MAIN), the nation’s first statewide artificial intelligence workforce initiative. From left with the trophy are Dr. Jonathan Woodward, Vice President of Teaching & Learning and Community Campus; Dr. Mary S. Graham, MGCCC President; and Dr. Kollin Napier, Director of MAIN, at the 2026 Community College Futures Assembly in San Antonio, Texas.

Mississippi Gulf Coast Community College has earned national recognition as a 2026 Bellwether Award finalist for its pivotal role in developing the Mississippi Artificial Intelligence Network (MAIN), the nation’s first statewide artificial intelligence workforce initiative.

The college was recognized this week at the 2026 Community College Futures Assembly in San Antonio, placing MGCCC among the top 10 innovative community college programs in the nation.

The prestigious Bellwether Awards competition highlights institutions leading bold work that addresses critical issues facing community colleges and the communities they serve. It is widely regarded as one of the most competitive and respected honors in community college education.

MGCCC’s selection as a finalist highlights both the innovation behind MAIN and the college’s leadership in shaping the future of workforce development nationwide.

Launched in 2023 with a $1 million grant from AccelerateMS, MAIN unites all Mississippi colleges and universities with global technology partners including Intel, NVIDIA, and Amazon Web Services to expand AI education and workforce readiness. Through free, self-paced online courses and a growing network of statewide AI labs, MAIN has already engaged thousands of Mississippians, including more than 5,000 workforce learners and 3,000 K–12 educators, helping them gain practical AI skills and industry-recognized credentials.

Anchored by MGCCC, the initiative’s collaborative structure ensures equitable access to AI education across both rural and urban communities. MAIN supports faculty development through programs such as the NVIDIA Faculty Ambassador Network and promotes applied learning through the new AI Innovation Hub, developed in partnership with Amazon Web Services and the Mississippi Department of Information Technology Services.

“Being named a Bellwether finalist affirms that Mississippi is not just participating in the AI conversation. We are helping lead it,” said Dr. Mary S. Graham, MGCCC president. “MAIN represents a bold, collaborative strategy to prepare our students, educators, and workforce for the rapidly evolving AI-driven economy. This recognition reflects the strength of our partnerships and our commitment to ensuring that every Mississippian, regardless of geography, has access to opportunity in this critical field.”

The Mississippi Artificial Intelligence Network is not a single program. It is a comprehensive statewide strategy designed to align K–12 education, higher education, business and industry, and public partners. This work is focused on preparing the entire state to compete, adapt, and lead in the AI-driven economy.

“This national recognition underscores the power of collaboration,” said Dr. Kollin Napier, director of the Mississippi Artificial Intelligence Network. “MAIN is about creating a sustainable AI ecosystem for our state, one that equips learners with real-world skills, supports faculty and industry engagement, and strengthens economic development. Being named a Bellwether finalist signals that Mississippi’s model for AI workforce development is setting a standard others can follow.”

For more information about MAIN, visit: https://mainms.org.

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