Your Biggest Fear About AI Shopping Is Privacy: Here’s How to Protect Yourself
If you’ve used an AI shopping assistant or a recommendation engine lately, you might have felt a small knot of unease when it suggested exactly the item you had only thought about. That feeling is not unusual. According to a recent report from eMarketer published on May 5, 2026, data privacy is shoppers’ biggest fear when it comes to AI shopping tools—by a wide margin. The survey, based on U.S. online shoppers, found that concerns about how personal data is collected, stored, and used outweigh any other worry about AI in e-commerce.
What the Research Found
The eMarketer report surveyed consumers about their attitudes toward AI-powered shopping features: chatbots that help you find products, engines that recommend items based on past behavior, and voice assistants that add items to your cart. Across all categories, privacy risk ranked highest. Shoppers were less worried about the technology making mistakes or being too intrusive and far more worried about what happens to their data after they click “buy.”
This finding aligns with broader trends. While AI shopping tools can save time and surface useful products, they rely on a steady stream of personal information: purchase history, browsing behavior, location data, and sometimes voice recordings. For many people, the convenience does not justify the exposure.
Why This Matters for Your Shopping
The data that AI shopping tools collect can be used in several ways. Some are familiar: targeted advertising, personalized recommendations, and email follow-ups. Others are less obvious. Retailers may engage in price discrimination, showing different prices to different shoppers based on their browsing history. Some platforms share data with third-party data brokers. And any data stored online carries a risk of being exposed in a breach.
Voice assistants are a particular concern because they often record conversations in the background, even when not actively triggered. A 2023 investigation by a consumer safety group found that some AI shopping assistants transmitted voice data to third parties without clear consent. While companies have improved disclosures since then, the risk is not zero.
The eMarketer report confirms that shoppers are increasingly aware of these trade-offs. The question is: what can you actually do about it?
Practical Steps to Protect Your Privacy
You do not need to abandon AI shopping tools entirely. But you can take several concrete steps to limit how much data they collect and how it is used.
1. Review permissions before you install or use a tool.
When you first use an AI shopping assistant—whether it is a browser extension, a mobile app, or a voice skill—check what permissions it requests. Does it need access to your full browsing history, or just the current page? Does it require your location, or can it function with a general region? If a tool asks for more data than it needs to do its job, consider alternatives.
2. Use privacy-focused tools where possible.
Some AI shopping platforms are more transparent than others. For example, independent browser extensions like PrivacyPal (fictional) or DuckDuckGo’s shopping features are designed to limit tracking. In contrast, larger platforms such as Amazon’s Alexa Shopping or Google’s Shopping Graph often tie data to your broader account. Check each tool’s privacy policy—look for language about data retention, sharing, and whether you can request deletion.
3. Disable personalization when you do not need it.
Many shopping sites let you turn off “personalized recommendations” or “shopping personalization” in your account settings. This usually stops the system from building a detailed profile of your preferences. You still get recommendations, but they are based on basic product categories rather than your individual history.
4. Use incognito or private browsing mode for exploratory shopping.
When you are just browsing, not making a purchase, open a private window. This prevents the site from linking your session with your account or past behavior. Note that this does not make you fully anonymous—your internet provider and the site itself still see some data—but it reduces the long-term trail.
5. Opt out of data sharing wherever possible.
Under laws like the California Consumer Privacy Act (CCPA) and similar regulations, many retailers are required to let you opt out of the sale of your personal data. Look for a “Do Not Sell My Personal Information” link in the website footer. Some AI shopping tools also offer a “privacy mode” or “limit tracking” toggle.
6. Regularly delete your history and data.
For voice assistants and shopping apps, check your account settings for an option to delete voice recordings, search history, or purchase logs. Doing this periodically reduces the amount of data the system has about you.
Which AI Shopping Tools Are More Privacy-Friendly?
It is hard to give a definitive ranking because policies change. However, a few patterns are worth noting:
- DuckDuckGo’s shopping features emphasize privacy by default, blocking trackers and not building a personal profile.
- Open-source alternatives such as Mycroft (for voice) or Kagi (for search) allow you to self-host or review the code, but they are less integrated with major retailers.
- Major platform tools (Amazon Alexa, Google Assistant, Apple Siri) collect data but offer settings to limit it. Apple, for example, processes many requests on-device and gives more granular controls than Google.
Always check the latest privacy policy, as companies update their practices frequently.
Sources and Further Reading
eMarketer, “Data privacy is shoppers’ biggest AI shopping fear, by far,” May 5, 2026. Google News link
For a deeper look at specific tools’ privacy settings, visit the privacy policy pages of Amazon, Google, Apple, and DuckDuckGo.
A Final Note
Privacy and convenience are not always at odds. With a few deliberate choices, you can enjoy the benefits of AI shopping assistants without handing over more data than you are comfortable with. The eMarketer report shows that many shoppers are already thinking this way. The tools you use should adapt to you—not the other way around.