New UConn Report Outlines Connecticut's Roadmap to Reverse Economic Stagnation Through Applied Artificial Intelligence

Connecticut's household income has long ranked among the highest in the nation, but a new analysis from the University of Connecticut's Connecticut Center for Economic Analysis (CCEA) finds that advantage has been quietly eroding for nearly four decades, arguing that artificial intelligence offers the state its best opportunity in a generation to reverse course.

According to the analysis, Connecticut's median household income stood roughly 36 percent above the national median around 1990. Today, that premium has been cut roughly in half, to about 18 percent.

Over the same period, Massachusetts moved from parity to a household-income lead of nearly $15,000, in a region Connecticut once led outright. Since 1989, U.S. employment has grown by nearly 50 percent; Connecticut's has grown by roughly 3 percent.

“There is much fear—as there should be—about where AI might take us,” said Fred Carstensen, Professor of Finance and Economics at the University of Connecticut and Director, Connecticut Center for Economic Analysis. “But we also have to think about how to seize the opportunity AI offers to reframe Connecticut's economy and restore our economic dynamism and competitiveness.”

The findings are laid out in a new strategic brief, Renewing Connecticut's Competitiveness in the AI Era which argues that Connecticut cannot out-compete its neighbors for the "platform layer" of the AI economy, meaning the frontier models, massive compute, and elite research talent concentrated in a handful of major metro areas.

Instead, the brief calls on the state to focus on the "application layer," where AI is embedded inside operating industries and value flows to proprietary data, deep domain expertise, and physical assets that cannot relocate. These are advantages Connecticut already holds in three sectors: insurance and actuarial AI, defense and advanced-manufacturing AI, and bioscience and genomic AI.

The report identifies two immediate deadlines that give the strategy urgency.

• New federal cybersecurity certification requirements now flow down from the Navy's submarine contracts through Connecticut's entire defense-manufacturing supply chain, with small suppliers facing a 12-to-18-month window to certify or risk losing work to better-prepared states.

•   Separately, Connecticut's $15 million federal award for QuantumCT, worth up to $160 million over a decade, is released only as the state demonstrates commercial progress in defense, biotechnology, and financial services, making applied-AI execution a precondition for keeping the state's largest-ever federal innovation investment.

 To fund the strategy, the brief proposes a one-time, capped appropriation of $100 million to $150 million from the state's current budget surplus deployed only alongside at least two dollars of private or institutional investment for every public dollar.

CCEA has committed to publishing an annual public assessment of whether the strategy's initiatives are working, tracking metrics including productivity growth, new firm formation, wage growth, and graduate retention.

The 13-page report analysis concludes “The alternative to acting is not the status quo; it is a slow bleed.  Connecticut’s anchor companies will adopt AI on someone else’s technology.  If it is to built here, the state absorbs the displacement, exports the value, and watches its one durable advantage, the accumulated domain knowledge, migrate into other states’ firms…”

“New York and Massachusetts are already moving, at scale.  The states that act in the next few years will shape this economy; the rest will inhabit an economy shaped by others.  Connecticut can lead, or Connecticut can be captive.  The urgency is now.”