A.I. Is Unpopular With Voters, a New York Times/Siena Poll Finds

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Published: 2026-09-15T16:52:00.097Z • Permanent link

Voters are increasingly wary of artificial intelligence, according to a recent New York Times/Siena poll. The poll, which surveyed over 1,500 registered voters in the United States, found that neither party has claimed an advantage on the technology. However, the data is not just a reflection of partisan differences - it also highlights a growing unease among voters about the potential risks and benefits of AI. According to the poll, voters are united in opposition to data centers, which are often associated with the development and deployment of AI. The New York Times/Siena poll is the latest in a series of surveys that have explored public attitudes towards AI, and it underscores the need for policymakers and industry leaders to engage with the concerns of voters.

The concerns about AI are not limited to the public sector. Many companies in the tech industry are also grappling with the implications of AI on their operations and supply chains. For example, the company NVIDIA has been a major player in the development of AI-powered graphics cards, but it has also faced criticism from some investors who are concerned about the potential risks of AI. Similarly, the research community has been exploring the potential benefits and drawbacks of AI, with some studies suggesting that AI could have significant benefits for healthcare and education, while others have raised concerns about job displacement and bias.

The growing unease about AI is also reflected in the responses of policymakers. In the United States, for example, the Federal Trade Commission (FTC) has been exploring the potential risks and benefits of AI, and has issued guidance on how companies can comply with antitrust laws in the context of AI development. In the European Union, the European Commission has launched an initiative to develop a comprehensive strategy for AI, which includes measures to promote transparency and accountability in AI decision-making.

The concerns about AI are not just a reflection of public attitudes - they also have significant implications for companies in the data sources domain. For example, the companies that operate data centers, such as Amazon Web Services and Microsoft Azure, are likely to face increased scrutiny and regulation in the coming years. This could have significant implications for their bottom line, as well as their ability to innovate and compete in the market. Additionally, the research community is likely to face increased pressure to demonstrate the benefits and risks of AI, which could have significant implications for their funding and reputation.

The concerns about AI also have significant implications for the markets and policy environments that govern the data sources domain. For example, the European Union's General Data Protection Regulation (GDPR) has already had a significant impact on companies that operate in the data sources domain, and it is likely to continue to shape the regulatory landscape in the coming years. Similarly, the United States has been exploring the potential for AI to be used in law enforcement and national security contexts, which could have significant implications for the data sources domain.

The concerns about AI are not just a reflection of public attitudes or company responses - they are also part of a larger pattern of technological change and regulatory uncertainty. In recent years, we have seen a significant increase in the use of AI and machine learning in a wide range of industries, from healthcare and finance to transportation and education. This has led to a growing need for policymakers and industry leaders to develop new regulations and standards that can accommodate the rapid pace of technological change.