Interior of a modern data center (Getty Images).For most people, the AI debate began with tools such as ChatGPT and questions about jobs, academic integrity, misinformation, and privacy. But AI is increasingly becoming a physical presence as well, through massive data centers, new demands on the electric grid, infrastructure investment and decisions about who bears the cost.
That makes the latest developments in Washington especially important. Last month, President Donald Trump announced plans for a new AI adviser and an “AI force,” framing rapid AI development as an urgent national priority in the strategic race with China. The administration’s approach is straightforward: reduce barriers to AI development and let American industry move faster.
That approach reflects one important part of the debate. But researchers, communities, and even leaders within the AI industry are also raising concerns about security, loss of control, and the need for safeguards as the technology becomes more powerful.
Those concerns are growing nationwide. Workers worry about whether AI will replace jobs. Parents are asking how much AI their children should use in school. Consumers are increasingly concerned about privacy, deepfakes, and how their personal information is being collected and used. Communities are also discovering that the AI boom comes with tangible local costs.
This can easily become another broad, polarized debate: accelerate AI or regulate it. But AI is a broad term covering many different technologies and uses, each with its own benefits, risks, and consequences.
Not all AI uses carry the same risks. Using AI to brainstorm ideas is very different from using it to make hiring, lending, or medical decisions. Using AI to help workers do their jobs is different from using it to replace them. Driverless cars raise questions about safety and responsibility. And large data centers bring a different set of concerns altogether, including electricity use, water demand, noise, and the cost of new infrastructure.
Treating all of these technologies and concerns as one big debate over “AI regulation” misses the point. Different risks call for different responses. The real questions are who benefits, who carries the risk, and who ultimately pays the cost.
Missouri is already confronting those questions. One clear example is the electricity demand created by large data centers. A 2025 state law requires the Missouri Public Service Commission to set special rates for large power users, including data centers, so that the costs associated with serving them are not unfairly shifted to households and other customers.
Local communities across Missouri are responding differently, too. St. Louis has chosen to allow data-center development under new zoning, environmental, noise and community requirements. St. Charles has taken a more restrictive approach, effectively barring new primary-use data centers.
These developments point to a broader truth, that the AI debate is really several debates happening at once.
One is about innovation. How can Missouri attract investment, develop AI talent, support entrepreneurs and help existing companies use the technology productively?
Another is about workers. How do we capture AI’s productivity gains without ignoring the disruption it may create for jobs?
Another is about consumers. What happens to privacy when people routinely share personal, financial, or professional information with AI systems?
Another is about children and schools. How can students benefit from AI without allowing it to replace the thinking, writing and problem-solving skills schools are supposed to develop?
And another is about infrastructure. What happens when AI-driven investment creates enormous new demands for electricity, water, land and public infrastructure?
Because these issues differ, they should not automatically lead to the same policy response. But regulation is only part of the challenge. Missouri also has to decide what kind of AI economy it wants to build and where it can create lasting value. States will compete not only to host servers, but also to develop the researchers, entrepreneurs, companies and skilled workers who use AI to create new products and industries.
For Missouri, that means connecting AI development to areas where the state already has strengths: universities and research, health care, agriculture, biotech, advanced manufacturing, financial services and geospatial technology. Missouri should not simply aim to become a place where the AI economy stores and processes its data. It should actively create value from AI.
That does not mean every new regulation is wise. Poorly designed rules can slow innovation, but avoiding regulation altogether carries risks of its own. The better approach is to match safeguards to the technology, its use, and the level of risk involved.
This is not about stopping AI. It is about basic fairness. AI can drive real growth in Missouri, but its success depends on getting the economics and policies right by capturing the benefits, managing the risks and making sure the costs are shared fairly. Missouri can champion AI innovation without asking everyday families to absorb infrastructure costs associated with investments by some of the world’s most resourceful technology companies.
