Illinois, Colorado and Utah: America's Quiet AI Middle

Between the coasts, several American states have built genuine artificial intelligence capability around specific institutional strengths rather than attempting to imitate Silicon Valley.

Illinois:

Chicago's AI relevance runs through finance. The city is the centre of global derivatives and futures trading, and its trading firms are among the most demanding users of machine learning anywhere, operating at latency and reliability standards that consumer technology rarely requires.

Quantitative trading firms headquartered in Chicago recruit heavily from mathematics and physics programmes, and the technical culture is exacting.

Beyond finance, Illinois hosts substantial research capacity. Argonne and Fermilab, both federal laboratories, operate major computing facilities, with Argonne housing among the most powerful supercomputers in the world, increasingly used for AI workloads in science.

The University of Illinois has one of the strongest computer science programmes in the country, and the National Center for Supercomputing Applications there has a long history in scientific computing.

Chicago also has significant logistics and manufacturing activity, both AI application areas, and a growing startup ecosystem.

Colorado:

Colorado's strength is federal research and aerospace. Boulder hosts national laboratories working on atmospheric science, standards and renewable energy, all computationally intensive fields where machine learning is increasingly applied.

Climate and weather modelling is a genuine specialisation, with the National Center for Atmospheric Research based there, and machine learning applied to weather prediction is one of the more scientifically significant AI applications of recent years.

Aerospace and defence employment is substantial, with satellite operations and space systems concentrated along the Front Range, and autonomy, imagery analysis and sensing are natural applications.

Denver and Boulder host a startup ecosystem that has grown considerably, aided by lifestyle appeal that attracts engineers from more expensive coastal markets.

Utah:

Utah's technology corridor, between Salt Lake City and Provo, grew rapidly on low costs, a young workforce and strong local universities.

The sector is weighted toward enterprise software and services rather than deep research, with a number of substantial software companies headquartered there, and applied AI follows accordingly, in customer analytics, sales automation and enterprise workflows.

Utah has attracted data centre investment, with relatively cheap power and land, and hosts significant federal data infrastructure.

The University of Utah has a notable computer graphics and visualisation research history, a field with direct connections to modern machine learning.

Water is a constraint, with the state facing serious long-term supply issues that affect large industrial facilities.

The common thread:

All three states benefit from the same shift: remote work and rising coastal costs pushed engineering talent inland, and each offers substantially lower living costs than California or New York.

All three have anchor institutions, federal laboratories, universities, or concentrated industries, that provide demand and talent without needing a Silicon Valley-scale venture ecosystem.

None will host frontier model development. All three demonstrate that meaningful AI capability can be built around existing scientific, financial or industrial strengths, which is a more replicable model than trying to recreate the Bay Area.