Most Americans Are Wary of Sharing Data With AI: Here’s What to Know

If you’ve used a chatbot, a smart speaker, or an AI image generator recently, you’ve already handed over some personal data—sometimes without thinking twice. As artificial intelligence becomes woven into more everyday tools, a growing number of Americans are uneasy about what happens to that information. Recent surveys capture this mood clearly: most people want tighter rules on how AI companies collect and use their data, and trust remains low.

What the surveys tell us

A survey from Digital Information World, published in mid-2026, found that a clear majority of Americans are uncomfortable sharing personal data with AI systems. The results track with earlier research from Pew Research Center, which has documented rising concern about data privacy since 2023. In Pew’s most recent data, roughly three-quarters of Americans said they support stronger regulation of AI’s data practices.

Demographic differences matter. Younger adults tend to be more willing to trade some privacy for convenience, but they still express unease. Older respondents are especially skeptical, often citing fears about surveillance, identity theft, and bias. Across age groups, the overarching sentiment is that companies are not transparent enough about what data they collect, how it is used, and whether users can opt out.

Another finding: people who already use AI tools frequently are more aware of data risks than non-users, but not necessarily more trusting. Even regular users report wanting clearer privacy policies and easier ways to control their data.

Why this matters for your privacy

These attitudes aren’t abstract. When you interact with an AI service, the data you provide can include text prompts, voice recordings, location information, and even documents you upload. That information may be stored, analyzed, or used to train future models. In some cases, it can be linked to your account or shared with third parties.

Beyond the obvious privacy risk, there are concerns about algorithmic bias: if training data includes sensitive patterns about users, the AI can amplify stereotypes or make unfair decisions. Security also remains a weak point—AI platforms have been targeted in data breaches, and once data is ingested into a model, it is difficult to remove.

The public’s push for regulation reflects a recognition that current laws—like the patchwork of state privacy laws in the U.S.—do not adequately address how AI handles personal information. The federal government has proposed several bills, but none have passed as of mid-2026.

Practical steps to protect your data

You don’t have to stop using AI tools to safeguard your privacy. A few straightforward habits can reduce your exposure:

  • Limit what you share. Avoid inputting sensitive personal information—such as full names, addresses, financial details, or health records—into public-facing AI chatbots. Treat them like you would a public online form.

  • Review privacy settings. Many AI services let you control data retention and opt out of training. Look for options labeled “do not train on my data” or “delete history.” If the setting is buried, check the provider’s privacy policy.

  • Use local AI when possible. Some AI tools can run entirely on your own device, processing data without sending it to a cloud server. For example, certain voice assistants and text processors offer offline modes.

  • Unlink accounts. If a chatbot is connected to your Google, Apple, or social media account, consider using a separate, disposable account for AI tools.

  • Stay informed about breaches. Follow security news related to the platforms you use. If a company announces a data incident, change passwords and monitor your accounts.

  • Support regulation that works. Contact your representatives and voice support for federal privacy legislation that covers AI. Public pressure has already led some companies to offer better controls.

What’s next

Consumer concern is already shaping company behavior. Several major AI providers have recently introduced more granular data controls in response to user demand. At the same time, state legislatures are moving ahead with their own rules—California’s updated privacy law and Colorado’s AI transparency bill are two examples. However, without a national standard, protections will remain uneven.

The gap between what people want and what they get is still wide. But the surveys show one thing clearly: Americans are paying attention, and they expect more control over their data.

Sources

  • “How Americans Feel About Sharing Their Data With AI,” Digital Information World (June 2026)
  • “Many Americans Pessimistic about AI’s Impact – and Want More Regulation,” Digital Information World (May 2026)
  • “Key findings about Americans and data privacy,” Pew Research Center (October 2023)
  • Pew Research Center surveys on AI and society (2023–2025)