Shop smarter, not creepier: How to use AI shopping tools without sacrificing your privacy
If you’ve used a chatbot to compare prices, asked a virtual assistant for product recommendations, or let an AI curate your search results, you’re far from alone. AI shopping tools are spreading fast, promising faster decisions and better deals. But a new survey from eMarketer confirms what many shoppers already suspect: the convenience comes at a cost to privacy. In fact, data privacy is shoppers’ number one fear about using AI in shopping—well ahead of concerns about accuracy, cost, or the quality of recommendations.
The findings shouldn’t surprise anyone who’s read a privacy policy lately. Yet most of us click “accept” without a second thought. This isn’t about avoiding AI altogether; it’s about using it deliberately. Here’s what the research shows and how you can protect your personal information without giving up the benefits of smarter shopping.
What the survey found
The eMarketer study asked shoppers about their biggest worries when using AI tools for shopping. Data privacy topped the list by a wide margin. Other concerns like poor recommendations or hidden fees ranked far lower. The message is clear: people feel exposed when they hand over their browsing history, purchase data, and sometimes even voice recordings to an algorithm they don’t fully understand.
The survey’s timing is notable because AI shopping assistants are being integrated into more platforms every quarter—from retailer sites to social media apps and standalone bots. The faster these tools spread, the more important it becomes to ask what data they collect and where it goes.
Why it matters for everyday shoppers
AI shopping tools typically gather more than just what you type. They may track your browsing history across multiple sites, log every product you click, record voice commands if you talk to a speaker or phone, and build a profile of your preferences, income level, and even your location. That data is often shared with third parties for advertising, analytics, or model training.
The risk isn’t just abstract. Aggregated shopping profiles can be used to manipulate prices, target you with ads based on sensitive inferences (like health or financial status), or leak in a data breach. And because many AI tools operate under broad terms of service, you may have limited control over how your information is used once it’s collected.
For the average shopper, the practical consequence is a loss of autonomy. You might pay more for an item because the algorithm knows you’re in a hurry, or you might be steered toward products that profit the platform rather than ones that best suit your needs. The trade‑off between convenience and privacy isn’t always worth it.
What you can do: Five practical steps
You don’t need to become a privacy expert to take back some control. These steps are realistic for most people and don’t require abandoning the benefits of AI shopping tools entirely.
1. Limit permissions from the start.
When you first use a shopping assistant, check what data it requests. Does it need access to your location, contacts, or microphone? Many don’t. Deny permissions that aren’t essential for the tool to work. On mobile, you can usually adjust these later in the settings.
2. Use browser privacy features.
Most modern browsers have built‑in tracking protection. Enable “Do Not Track” requests (though they’re voluntary), use private windows for sensitive searches, and consider a privacy‑focused browser like Firefox or Brave. Browser extensions that block trackers (such as uBlock Origin or Privacy Badger) can also limit the data AI tools collect indirectly.
3. Review and revoke voice recording permissions.
If you use a voice‑based shopping assistant, remember that many companies store and analyze your recordings. Check the device or app settings to delete past recordings or disable voice history. For one‑time shopping tasks, you can often type instead of speaking, which avoids creating audio logs.
4. Use a separate email address for shopping.
Create a dedicated email account for online purchases. This prevents shopping platforms and AI assistants from linking your activity to your main account, which may contain personal or professional communications. It also makes it easier to spot phishing attempts.
5. Read the privacy policy—at least the summary.
Yes, it’s tedious. But many companies now provide a plain‑language summary. Look for red flags: vague statements about “sharing with partners,” lack of a clear opt‑out, or policies that say they can use your data for any purpose. Green lights include clear data retention limits, the ability to download or delete your data, and processing done locally on your device rather than on a server.
Evaluating AI tools for privacy: What to look for
Not all AI shopping tools are equally invasive. When choosing one, consider these signs:
- Green lights: The tool explains what data it collects in plain language, offers an opt‑out for data sharing, processes data locally when possible, and allows you to delete your history.
- Red flags: The tool requires extensive permissions (microphone, location, contacts) for basic functions, buries privacy language in legalese, or is owned by a company with a history of data misuse.
If you’re unsure, test the tool with minimal permissions first and see if it still works for your needs. Often, you can get the core benefit without handing over everything.
The eMarketer survey confirms what many shoppers already feel: the creepiness of being watched is real, and it’s the top worry for a reason. But you don’t have to choose between having a helpful assistant and keeping your personal information under your control. A few deliberate steps can make the difference between shopping smarter and shopping exposed.
Sources: eMarketer survey on data privacy fears in AI shopping (May 2026). For details on data collection practices, refer to the privacy policies of major AI shopping platforms and consumer reports from privacy advocacy groups.