Florida, North Carolina and Ohio Are Buying Their Way Into AI

Several American states outside the traditional technology centres are competing aggressively for artificial intelligence infrastructure and semiconductor manufacturing, using incentives, land and universities as their instruments.

Florida:

Florida's technology growth accelerated as remote work and tax considerations drew both companies and individuals from higher-cost states, particularly to Miami and Tampa.

The financial sector's partial migration brought quantitative and technology roles, and Miami developed a startup scene with substantial investor attention, particularly around financial technology.

The state hosts significant aerospace and defence activity, including space launch operations, with autonomy and imagery applications, and simulation and training technology is a genuine Orlando specialisation with both defence and commercial applications.

Universities including Florida and Florida State conduct AI research, and the state has invested in expanding technical education.

Constraints include hurricane exposure, which affects infrastructure siting and insurance costs, and rapidly rising housing costs that have eroded the affordability advantage.

North Carolina:

The Research Triangle, anchored by Duke, North Carolina State and the University of North Carolina, is one of the oldest deliberately created research clusters in the country.

It hosts substantial pharmaceutical, biotechnology and technology employment, and AI applications in drug discovery and clinical research are significant given the pharmaceutical concentration.

The state has attracted major technology investment, including engineering operations for large technology companies drawn by research talent and lower costs than coastal metros.

Semiconductor and advanced manufacturing investment has grown, supported by state incentives and federal programmes, and the state's electricity is comparatively affordable with substantial nuclear generation.

Charlotte's position as a major banking centre adds financial services AI demand.

Ohio:

Ohio's most significant development is very large semiconductor manufacturing investment, supported by federal incentives, aimed at establishing advanced chip production in the Midwest.

The strategic logic is national: reducing dependence on East Asian manufacturing requires domestic fabrication, and Ohio offered land, water, power and a manufacturing workforce.

Execution has been slower than initially announced, with timelines extended, which is characteristic of projects at this scale and complexity.

Beyond semiconductors, Ohio has substantial manufacturing, logistics and healthcare sectors, all applying machine learning in standard ways, and Ohio State conducts significant research.

Data centre development has grown considerably, particularly in central Ohio, with the same electricity demand pressures seen in Virginia and Georgia now appearing there.

The common strategy:

All three states are using the same playbook: tax incentives, workforce training programmes, university partnerships and available land and power to attract facilities that coastal states cannot economically host.

The debate about whether incentives deliver value for taxpayers is genuine and unresolved. Semiconductor fabrication plants and data centres cost enormous sums per permanent job created, and the economic case rests on supply chain effects and long-term positioning rather than direct employment.

The outlook:

These states are becoming where AI's physical layer is built, which is a real shift in American economic geography.

Whether that translates into broader technology ecosystems, or remains isolated industrial facilities operated by companies headquartered elsewhere, is the question each state's development strategy is implicitly betting on.