The artificial intelligence economy is about far more than software. It requires advanced chips, enormous computing capacity, research, energy, talent and organizations willing to put AI to work. Increasingly, Arizona has a meaningful role in nearly every part of that equation.
When people think about artificial intelligence, their minds naturally turn to Silicon Valley, ChatGPT, NVIDIA and the software engineers building the next generation of large language models.
But that is only part of the AI story.
Artificial intelligence ultimately depends on a much larger ecosystem. It requires advanced semiconductors to perform trillions of calculations. It requires data centers to provide computing capacity. It requires electricity, communications networks and sophisticated cooling systems. It requires researchers developing new applications, companies willing to deploy those applications and, perhaps most importantly, people who understand how to use AI productively and responsibly.
Viewed through that broader lens, Arizona is emerging as one of the more consequential states in America’s AI economy.
Arizona is not likely to replace Silicon Valley as the center of AI software development, nor does it need to. The state has a different and potentially more powerful position: It increasingly sits at the intersection of the physical infrastructure that makes AI possible and the people, institutions and companies finding ways to apply it.
That distinction matters.
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The hardware underneath AI
Perhaps Arizona’s most important advantage begins with semiconductors.
AI may appear to exist in the cloud, but the cloud ultimately lives on silicon. Training and operating increasingly sophisticated AI models require enormous computing power, which in turn depends on leading-edge chips.
That places the unprecedented semiconductor investments underway in Arizona directly in the center of the AI revolution.
TSMC’s Phoenix operation is perhaps the clearest example. What began in 2020 as a planned $12 billion investment has expanded dramatically. TSMC now says its planned Arizona investment totals $265 billion, with current plans encompassing six advanced logic fabs, two advanced-packaging facilities and an R&D center. The company says additional facilities announced in 2026 will support demand for technologies including artificial intelligence and high-performance computing.
Intel also has one of its most important U.S. manufacturing footprints in Chandler. The company is investing more than $32 billion in two new Arizona factories, adding to decades of semiconductor manufacturing and R&D in the state. Intel increasingly describes advanced domestic semiconductor manufacturing, packaging and foundry capabilities as fundamental to scaling artificial intelligence and maintaining U.S. technology leadership.
Then there is Amkor Technology. The Tempe-headquartered company is developing a major advanced semiconductor packaging and test campus in Peoria. Amkor says the facility is expected to become the first high-volume advanced-packaging outsourced semiconductor assembly and test operation of its kind in the United States, serving markets including AI and high-performance computing.
Arizona, therefore, is developing something unusual: fabrication, packaging, semiconductor engineering, suppliers and workforce capabilities within the same regional ecosystem.
Arizona also is becoming an AI infrastructure state
The second major piece is computing infrastructure.
The American Edge Project, working with TECNA (Technology Councils of North America), published a 50-state analysis examining AI-related investment, technology employment and data-center development. Its data illustrates just how significant Arizona has become.
According to the report, Arizona ranked No. 6 nationally for existing data centers, with 164; No. 5 for planned data centers, with 149; No. 5 for estimated employment associated with new data-center development; and No. 2 for projected state and local tax revenue from those new facilities over 10 years. The report estimated more than 288,000 temporary and permanent jobs associated with new data-center buildout, most of them construction-related.
Those estimates should be understood for what they are: projections based on the report’s methodology, not guarantees of future employment or revenue. But the comparison with other states is revealing.
California overwhelmingly dominates AI venture investment. Virginia has long been the nation’s most concentrated data-center market. Texas has advantages in scale, energy and population. Washington benefits from the presence of major cloud-computing companies.
Arizona’s advantage is that it is increasingly competitive across multiple layers of the AI supply chain simultaneously.
From infrastructure to application
Arizona also has companies demonstrating that AI development here is not limited to building the infrastructure.
Scottsdale-based Axon is becoming an increasingly important AI company within the public-safety technology sector. Its Draft One product uses generative AI and body-camera audio to prepare an initial police-report narrative that must then be reviewed and approved by an officer. Axon has expanded that platform with AI-powered transcription, evidence search, translation, policy assistance and other tools. In its first-quarter 2026 financial results, Axon reported that revenue from its AI products had increased more than 700% year over year.
That is a good example of what the next stage of AI will look like. The biggest economic impact of AI may not ultimately come from companies whose sole business is developing AI models. It may come from companies in aerospace, defense, healthcare, financial services, manufacturing, mining, logistics, education and public safety integrating AI into their existing products and operations.
Arizona has substantial concentrations in nearly all of those industries. That creates an opportunity to become not simply an AI-producing state but an AI-adopting state.
Arizona’s universities are another major asset.
Arizona State University has made one of the most aggressive moves into generative AI among major U.S. universities. ASU established a university wide relationship with OpenAI and subsequently expanded access to AI tools across its community.
Its homegrown CreateAI platform gives faculty and staff the ability to build customized AI applications inside a governed university environment. By April 2026, more than 20,000 ASU employees had access to CreateAI and had created more than 7,000 AI experiences, ranging from simulated patients used in medical education to conversational language tutors. ASU also reports dozens of AI-focused academic courses and operates AI innovation challenges, research programs and an AI Scholars initiative.
The University of Arizona also has been developing a broad institutional AI strategy. In 2026, it launched the U of A AI Platform, built on Amazon Bedrock, providing university users with controlled access to multiple large language models. Thousands of campus users were already piloting the first component early in the year.
The U of A’s research community is applying AI in health, agriculture, energy, space, quantum science and computational biology. In July, five research projects were selected for the U.S. Department of Energy’s Genesis Mission, an AI-for-science initiative focused on accelerating discovery in areas tied to energy, national security and other priorities.
Northern Arizona University is approaching the opportunity from several directions as well. NAU now offers a Bachelor of Science in artificial intelligence through its Steve Sanghi College of Engineering and is funding faculty efforts to integrate AI thoughtfully into instruction.
Preparing Arizona’s K-12 system for AI
Through the Arizona Institute for Education and the Economy at NAU, Arizona has developed statewide guidance for the use of GenAI in the state’s schools. The initiative produced Generative Artificial Intelligence in K-12 Education, designed to give educators and school systems a common framework for responsible implementation by encouraging schools to consider learning objectives, appropriate use, ethics, privacy and critical thinking.
NAU and the institute also helped establish the Arizona AI Alliance, bringing education organizations together around responsible AI adoption. Its work includes strategic guidance, information sharing, professional development and communities of practice for educators.
AI literacy is rapidly becoming analogous to digital literacy. Arizona will still need engineers, computer scientists and data scientists who understand the underlying technology deeply. But millions of other workers will need to understand how to use AI effectively within their own professions.
Grand Canyon University offers undergraduate and graduate artificial intelligence degree programs covering machine learning, deep learning, computer vision, robotics, natural-language processing and the ethical dimensions of AI.
Taken together, Arizona’s universities do not follow a single model. That is a strength. Some are emphasizing foundational research, others enterprise deployment, workforce preparation or K-12 adoption. All of those capabilities will be needed.
Creating rules without stopping innovation
Technology leadership also requires government to grapple with difficult questions.
Gov. Katie Hobbs appointed Arizona’s first Artificial Intelligence Steering Committee, bringing together representatives from government, industry, universities, K-12 education, cybersecurity, privacy and civil society. I am privileged to serve as one of its members.
The committee was charged with developing recommendations around statewide AI policy, governance and procurement; transparency, fairness and accountability; public engagement; workforce preparation; AI literacy; and responsible adoption of AI by government agencies. Those conversations matter because AI policy requires balance.
Government has legitimate responsibilities involving privacy, cybersecurity, discrimination, transparency and the use of AI in consequential decisions. At the same time, poorly designed regulation can freeze technologies in place, impose disproportionate costs on smaller companies or cause innovation to move elsewhere.
Arizona should aspire to be a place where responsible innovation and rapid innovation reinforce one another rather than being treated as opposing ideas. That means focusing regulations on outcomes and genuine risks rather than attempting to dictate specific technologies that may be obsolete before legislation takes effect.
Congress certainly needs to be part of the discussion. As a member of TECNA, the Council supports the industry group’s call for the creation of a federal framework that prevents conflicting state laws that impede innovation but allows flexibility as long as they don’t compromise national consistency and security.
The workforce equation
Arizona’s broader technology workforce provides a good foundation but also demonstrates the scale of the challenge.
CompTIA’s 2026 State of the Tech Workforce analysis estimated Arizona had more than 208,000 net technology workers in the previous year, with technology generating an estimated $39.3 billion in direct economic impact. CompTIA projected Arizona would add approximately 4,000 net technology jobs during 2026.
AI will change many jobs beyond the technology sector. Accountants will use AI. Engineers will use it. Nurses, teachers, attorneys, marketers, manufacturers and government employees will use it. Electricians and skilled construction workers will be needed to build the data centers, power systems and semiconductor facilities supporting it.
That is why viewing AI workforce development purely as a computer-science issue would be a mistake.
Arizona’s challenges are real
There is plenty of reason for optimism, but Arizona should resist declaring victory.
AI infrastructure consumes significant electricity. The extraordinary growth of semiconductor manufacturing and data-center development is occurring at the same time Arizona’s overall population and economy continue to expand. New generation, transmission and storage will have to keep pace.
Water remains a legitimate concern in an arid state, even as semiconductor facilities and modern data centers increasingly employ sophisticated reuse, recirculation and lower-water cooling technologies.
Communities also expect major developments to demonstrate that their benefits justify infrastructure requirements and local impacts.
Talent remains intensely competitive.
And venture investment remains an area where Arizona has room to grow. That may be the most important next frontier. The American Edge/TECNA analysis placed Arizona 18th nationally in both AI-related venture-capital deals and value from 2019 through 2025.
Arizona has become exceptionally good at attracting major technology investment. The next step is producing more companies here that become the next generation of major technology companies.
Arizona’s opportunity
Every major technology era creates new geographic centers of influence. The AI economy may evolve differently because its supply chain is unusually broad.
• It needs chips.
• It needs advanced packaging.
• It needs data centers.
• It needs energy.
• It needs software.
• It needs research.
And it needs people in virtually every occupation capable of putting the technology to productive use.
Arizona already has meaningful assets in almost every one of those categories.
The state’s opportunity is to build on what Arizona already does exceptionally well: advanced manufacturing, semiconductors, aerospace and defense, autonomous systems, optics and photonics, cybersecurity, large-scale infrastructure, university research and public-private collaboration.
If we connect those pieces effectively, continue expanding our talent pipeline and adopt policies that encourage innovation while addressing legitimate risks, Arizona can occupy a distinctive position in the AI economy.
The AI revolution will not be built in one city or one state. But Arizona has an increasingly compelling case that a significant part of it will be built here.
Author: Steven G. Zylstra is the president and CEO of the Arizona Technology Council.
