TeroAI to Host Webinar on Inflation's Political Impact Ahead of the 2026 Midterms

New York, New York. May 26, 2026 — As the 2026 midterm cycle begins to take shape, inflation remains one of the most consequential and unpredictable forces influencing American politics. On Wednesday, May 27, from 12:00–1:00 PM EST, TeroAI will host Mapping Inflation's Impact on the 2026 Midterms and Beyond, a live webinar examining how local economic conditions are reshaping voter behavior, public policy, and the national political landscape.

The event will feature a first look at new academic research from TeroAI CEO Dr. Christopher Hooton, whose latest paper introduces district-specific inflation modeling designed to better understand the relationship between economic pressure and election outcomes. Using newly developed data, the research explores how inflation is affecting communities differently across the country and how those differences may influence both the midterms and the next presidential election.

Following the presentation, there will be an expert panel discussion moderated by Daniel Strauss. Panelists Romina Boccia of the Cato Institute and Dante Chinni of the American Communities Project will offer perspectives on affordability, economic sentiment, and the growing political significance of local economic realities.

"Inflation has become one of the defining political and economic issues shaping communities across the country," said Dr. Christopher Hooton, Founder and CEO of TeroAI. "We're excited to bring together leading experts to explore how these pressures are influencing voter behavior, local economies, and the broader political landscape heading into the 2026 midterms and beyond."

About TeroAI

TeroAI is the world's first geospatial data company built for every industry. TeroAI makes geographic intelligence accessible to everyone through its AI-powered and patented technology. Its platform unifies and translates fragmented data from any source and geography, allowing users to discover and utilize geographic information across sources and regions without specialized training.