What Does the American Public Think About AI?

As tech leaders ride the unstoppable AI wave into oblivion, a cautious public watches on with mixed feelings. While developing marketing, outreach, and strategies for 2025, it’s critical to consider public opinion on AI beyond B2B settings. Americans express mixed support for its development and share positive experiences and anxieties with their colleagues, social circles, and political representatives.

As development into AI continues, CTOs need to take a step back to consider the myriad of feelings that the general public attaches to an AI-centered strategy. Workers, buyers, and users alike share mixed feelings that need to be assuaged in order to keep AI leading the charge.

Unveiling the Numbers: Americans Have Mixed Feelings About AI

  • Nearly 59 percent of Americans think that AI will increase unemployment.
  • 28 percent of American workers say they have used an AI chatbot at work. 68 percent say it has been helpful, and 38 percent say it has become an essential tool they use regularly.
  • A majority of Americans under 35 express interest in AI personal assistants (62 percent), AI tutors (51 percent), AI workout coaches (51 percent), and AI financial advisors (51 percent).
  • Nearly 54 percent of US citizens believe AI could lead to major advances in the production of drought- and heat-resistant crops.
  • When asked whether AI will be good or bad for society, 38 percent of Americans say it will make things better, 35 percent say it will make things worse, and just 9 percent say it will have no impact.

CTOs Need to Assuage Complicated Feelings on New Tech

It is no surprise that Americans have a multitude of views about AI depending on profession, location, education level, and age. They are curious, interested, worried, and amazed. Given the relative newness of the technology and the high degree of uncertainty surrounding its future, many Americans remain unsure about AI’s long-term impact.

Most Americans view AI as just another technological advancement rather than a transformative force capable of fundamentally reshaping society. Whether AI's changes are good or bad depends largely on personal experience.

As business leaders and C-suite executives introduce AI into their work streams and public-facing products, they must recognize that the public does not yet view AI as a universally positive, transformative force. However, opinions on AI remain malleable and subject to change. Keeping a pulse on public perception of AI is critical for its successful integration.

There is more work to be done to ensure AI’s benefits outweigh its risks. Americans are particularly anxious about job displacement, security threats, and the erosion of ethical boundaries.

Moving Toward Responsible AI Means Slowing Down

Combating these fears starts with consistency—organizations and leaders across industries must reach a level of maturity in their tools, data, and workforce. CTOs and CIOs must thoroughly explain decisions regarding AI implementation, including the models and platforms used, to ensure they drive business value.

Additionally, leaders must recognize the importance of their employees, ensuring they receive proper training to work effectively alongside AI. To foster positive AI outcomes, governments must focus on building ethical and legal frameworks for AI development. This effort will require extensive collaboration between the public and private sectors, as well as regulatory bodies that encourage responsible innovation.

As The Washington Post once quoted James Barrat, author of Our Final Invention: Artificial Intelligence and the End of the Human Era: "I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. I mean with artificial intelligence, we’re summoning the demon."

In Brief

The current American opinion on AI can be summed up in two words: Slow. Down. The sentiment that AI’s progress needs to be moderated stems from concerns about safety, ethics, job displacement, and societal impact.