A recent Quinnipiac University poll reveals that **73%** of Americans are worried that artificial intelligence (AI) could pose a serious threat to human survival. This concern has grown in recent months, especially after several high-profile incidents where AI models were used to hack websites and disrupt online services. Despite this fear, AI has not yet become a major factor in how voters choose their leaders in national and local elections. Issues like the cost of living, corruption, the job market, and the economy are still seen as more pressing by the public. According to Echelon Insights, only **8%** of voters list AI as their top or second most important issue facing the country. While discussions around AI safety have gained more attention in public forums, experts believe it will not play a central role in upcoming congressional elections. However, AI-related concerns may have a greater impact on local elections, as noted by Jasmine Sun, a researcher in political trends. The issue of data centers, which are essential for hosting and managing large amounts of digital information, has also become a point of contention in several states. As of October 8, **321** data center construction moratoriums were active across **39 states**, with the highest concentration in the Midwest, including Michigan. These moratoriums, which restrict or pause new data center projects, have been a topic of discussion in political debates, such as during a recent gubernatorial campaign in Michigan. Political campaigns across the country have shown strong opposition to data centers, regardless of party affiliation. According to the Absecon Group, **96%** of campaigns led by Democratic candidates and **91%** of those led by Republican candidates criticize data center development. Only a small number of campaigns, **10 out of 685**, expressed support for data centers, including **7 Republicans** and **3 non-partisan** candidates. This widespread criticism highlights the growing public concern over the environmental, economic, and social impacts of large-scale data center construction.