A statewide view of the institutions, infrastructure, workforce and public decisions shaping Virginia’s AI economy.
Virginia’s AI economy includes hyperscale infrastructure, academic research, applied enterprise work and workforce development. Each requires a different kind of evidence.
11 tracked campus and program records
Explore →5 source-linked research nodes
Explore →7 regional desks
Explore →The McLean-headquartered financial services company publishes AI research and describes applications in customer assistance, personalization, and agentic software security. Corporate AI activity is not counted as a data center project.
Booz Allen’s corporate fact sheet identifies its McLean headquarters and AI services for federal customers. This is a company capability record, not an endorsement or a claim that every engagement occurs in Virginia.
Appian identifies its headquarters in McLean and describes an enterprise platform combining process automation and AI. The record covers a Virginia-headquartered software business, without inferring local investment or employment totals.
Reston-headquartered Leidos announced a January 2026 partnership with OpenAI for generative and agentic AI in federal workflows. The announcement describes plans and company activity, not independently verified deployment outcomes.
Cloud infrastructure operator with established Virginia operations and a separately tracked statewide expansion plan.
Operator of Northern Virginia data centers with a broader Virginia cloud and AI investment announcement.
Microsoft confirms Boydton data center operations and Southern Virginia community and training work.
Campus operator with public specifications for Ashburn, Manassas, and Richmond facilities.
Operator directory identifies Virginia campuses; campus specifications remain distinct from verified delivered load.
Computer science research spans machine learning, computer vision, robotics, and AI foundations.
An interdisciplinary center for artificial intelligence and data analytics research and workforce needs.
University resources cover AI research, education, workforce development, and responsible institutional adoption.
The computer science AI and Data Science cluster includes machine learning, language processing, analytics, and trustworthy AI.
AI and machine learning form a cross-cutting domain supporting the university’s strategic research areas.
Published associate degree specialization and certificate pathways for data center operations. Enrollment and availability remain with NOVA.
An employer-supported education partnership for data center skills. This is a training pathway, not a current vacancy count.
Official agency source for AI standards, policy, and implementation resources governing Commonwealth technology use.
A 2026 legislative oversight review of agency AI governance. Recommendations are identified as recommendations, not enacted requirements.
Organizer-listed September 9–11, 2026 summit focused on justice, public safety, and security AI. Past event; no current registration availability is implied.
Past event · 2026-09-09
A Virginia evidence review of the source-governed register; no newly verified primary-source update is presented as breaking news.
A Virginia evidence review of the source-governed register; no newly verified primary-source update is presented as breaking news.
A Virginia evidence review of the source-governed register; no newly verified primary-source update is presented as breaking news.