The AI Economy and the Moratorium Debate

Aiden Lin — July 21, 2026

In the last few years, AI has transformed from a fringe invention to an omnipresent technology that affects all sectors. This is demonstrated by the fact that the entire U.S. economy has shifted to adjust to the growing demands of artificial intelligence.

This has led to increasing concerns of an AI bubble, a phenomenon where an unsustainable surge in stock prices occurs because of consumer captivation with the idea of a product, rather than the actual merit or value of the product itself. This concern persists even as the United States’ AI spending is set to surpass its military expenditures and the estimated value of generative AI to consumers has risen to $172 billion. These developments have caused the structure of the AI economy to grow in importance and relevance to both economists and the average American citizen.

AI has become an integral part of the broader American economy through how it influences consumers, companies, and markets. As this technology grows and evolves, our understanding of its several distinct impacts on the economy must evolve alongside it.

The Consumer

Until 2023, StackOverflow was the go-to platform for programmers looking for help with problems they encountered in their code. That all changed when ChatGPT was released to the public on November 30, 2022. Today, the number of questions posted to StackOverflow has plummeted over 78%. This example provides an insight into the mind of the consumer in the age of the AI economy, as large language models (LLMs) provide an alternative route to solving advanced problems.

However, the widespread benefits of AI have not insulated it from large-scale backlash. Concerns over AI’s water consumption, energy emissions, usage in art, and more have increased public dissatisfaction, with 50% of adults viewing AI as a concern compared to only 10% who feel the opposite. Despite this, 64% of U.S. teens report using AI. This is due to both convenience and integration. AI’s convenience has meant that consumer demand for any service attempting to perform tasks similar to those performed by a LLM has decreased. At the same time, AI’s widespread integration across various platforms and companies causes it to be unavoidable for many.

The Companies

Every way that consumers have been impacted by artificial intelligence is also a way that companies have had to adapt. To avoid meeting the same fate of companies like StackOverflow, major corporations have begun to implement AI into their systems to appease consumers.

Some companies have even gone as far as to produce their own AI generated Even major international corporations have adopted these practices, with Coca-Cola notably using AI for its advertisements. This demonstrates how AI has changed marketing strategies. As AI content grows more and more realistic, it is likely that the usage of AI for marketing will only increase.

Another way companies are leveraging artificial intelligence to their benefit is by having AI perform tasks previously carried out by humans, in turn cutting costs. For many AI-forward companies, this model has become the standard, as it allows corporations to limit how many employees are on their payroll and prioritize human engagement only when it’s absolutely necessary. Beyond using AI for simple upkeep like making spreadsheets and writing emails, some corporations now use AI to perform complex tasks. Google, which reportedly generates over 75% of their code with AI, is a prime example. These sorts of shifts have led to nearly 165,000 layoffs this year, as large language models increasingly fill in for human employees. Human workers being replaced with AI has become so commonplace that Meta used AI to conduct the very layoffs AI has caused.

A Moratorium?

Given the upcoming Public Forum resolution, it only seems logical to see what a moratorium on hyperscale data centers would do to the AI economy. Even if you are not a Public Forum debater, these changes could soon become relevant, as upcoming legislation could greatly impact the AI economy and drastically alter its current path.

Specifically, Alexandria Ocasio-Cortez’s proposed bill “to impose a moratorium on the construction of new data centers until legislation is enacted that safeguards the public from the dangers of artificial intelligence” would function nearly identically to the text of the PF resolution and significantly change the current AI landscape in the US today.

While the bill’s limited bipartisan support grants it only a small chance of becoming law, local legislation in certain jurisdictions has managed to implement the bill’s provisions on a smaller scale. Specifically, New York recently became the first state to ban the construction of new AI data centers. Similarly, a nationwide moratorium would slow down AI by limiting new infrastructure. Such a policy would not lead to the demolition of current data centers or completely inhibit U.S. AI development, but simply halt the development of new data centers pending the adoption of further safeguards.

The Markets

The New York moratorium has not yet reverberated across the national market at a scale that seems significant enough to account for, so it is unable to predict entirely how markets would react to a nationwide policy. However, it seems increasingly likely that a holistic moratorium would trigger a huge selloff of AI and closely related stocks.

The AI sector has always been a controversial part of the market, with industry leaders holding and supporting conflicting opinions about the possibility of an AI bubble. However, it is clear that a moratorium on hyperscale data centers would pose a significant risk for investors looking for AI growth or future data center construction. Some critics believe that a moratorium would cause investors to lose confidence and pull their money out of AI companies, cost the United States thousands of jobs, and even affect national security.

Conclusion

The integration of artificial intelligence into all sectors and types of businesses has had a lasting effect on the U.S. economy. While this has provided cost-saving benefits for companies, it has also increased concerns among consumers regarding layoffs and other ethical dilemmas. At the center of these concerns is the debate over whether or not a moratorium should be adopted. While the impact that AI has had on the U.S. economy will not be reversed by a moratorium, such a policy could alleviate public concerns regarding AI while allowing policymakers time to draft solutions to current challenges.