In the US, the AI Industry Risks Becoming Winner-Take-Most


A new study illustrates just how geographically concentrated AI activity has become.

A NEW STUDY warns that the American AI industry is highly concentrated in the San Francisco Bay Area and that this could prove to be a weakness in the long run. The Bay leads all other regions of the country in AI research and investment activity, accounting for about one-quarter of AI conference papers, patents, and companies in the US. Bay Area metro areas see levels of AI activity four times higher than other top cities for AI development.

“When you have a high percentage of all AI activity in Bay Area metros, you may be overconcentrating, losing diversity, and getting groupthink in the algorithmic economy. It locks in a winner-take-most dimension to this sector, and that’s where we hope that federal policy will begin to invest in new and different AI clusters in new and different places to provide a balance or counter,” Mark Muro, policy director at the Brookings Institution and the study’s coauthor, told WIRED.

The study, titled “The geography of AI,” ranks nearly 400 US metro areas based on their capabilities in AI, using metrics like AI job listings, early-stage company creation data from Crunchbase, published research, and federal research and development funding. It found that two-thirds of AI activity is in just 15 metro areas, largely along coastlines: the two “superstars” of San Francisco and San Jose, plus 13 other “early adopter” locales like Austin and Seattle. Meanwhile, more than half of the metro areas together account for just 5 percent of AI activity.

The impact of AI on people’s everyday lives is expected to grow as more businesses and governments adopt the technology. While automation can grow productivity—PwC predicts it will add $3.7 trillion to North American economies by 2030—some economists and ethicists fear AI will also accelerate inequality and give more wealth and power to people who are already wealthy and powerful. Cities with the ability to support early-stage AI development and forge talent pipelines for local businesses will reap the benefits as the AI industry continues to grow. Those that don’t could potentially get left behind, although increased AI adoption can have downsides, too, like job loss from automation.

Muro says the US would be wise to invest in other parts of the country before AI’s regional overconcentration becomes even more entrenched.

The study identifies nearly 90 cities in the United States that have the potential to bring more AI-related jobs and resources to their communities, including major cities like Atlanta, Chicago, Detroit, and Houston, as well as some college towns like Bloomington, Indiana, and Athens, Georgia.