AI Shopping Assistants Are Convenient—But Your Privacy Is at Risk. Here’s What to Do

AI Shopping Assistants Are Convenient—But Your Privacy Is at Risk. Here’s What to Do

The convenience of AI shopping tools is hard to ignore. From personalized product recommendations to one-click checkout, these assistants promise to save time and money. Yet a growing number of shoppers are worried about the price they’re paying with their personal data. According to a recent survey by eMarketer, data privacy has become consumers’ single biggest fear when it comes to using AI for shopping. This concern is not unfounded, and knowing how to navigate it is essential for anyone who wants to keep their information safe while enjoying the benefits of AI.

What Happened

In early May 2026, eMarketer published survey results showing that a clear majority of online shoppers now rank data privacy as their top worry about AI‑powered shopping features. The fear outpaced other common concerns such as accuracy of recommendations, cost, or even the potential for bias. The survey did not specify exact percentages, but the finding signals a shift in consumer sentiment: shoppers are becoming more aware that the convenience of AI often comes at the expense of their private data.

AI shopping assistants typically work by collecting and analyzing large amounts of personal information — browsing history, purchase habits, location, payment details, and even real‑time behavior. This data is then used to train models that predict what you might want to buy next. The problem is that many users are not fully aware of what is being collected, how it is stored, or whether it is shared with third parties.

Why It Matters

What makes these privacy risks different from traditional online shopping is the scale and depth of data collection. A standard retail website might track your clicks and purchases. An AI assistant, on the other hand, can follow your interactions across multiple sessions, infer preferences, and build a detailed profile that is far more revealing than a simple purchase history.

There are several concrete risks to consider:

• Data sharing and monetization: Some AI shopping tools are offered by companies that rely on advertising revenue. Your shopping data may be used to target ads or sold to data brokers. Terms of service often allow this, but few users read them.
• Security vulnerabilities: The more data a tool collects, the larger the target for hackers. A breach of an AI shopping platform could expose sensitive financial and personal information.
• Lack of transparency: Many AI assistants do not clearly explain what data is being collected or how long it is retained. This makes it hard for users to make informed choices.
• Profiling and discrimination: Detailed profiles can lead to price discrimination (showing higher prices based on your browsing history) or even exclusion from certain offers.

These concerns are not hypothetical. Privacy advocates have repeatedly pointed out that consumer data is often used in ways that are not in the user’s best interest. As AI shopping tools become more embedded in everyday life, the stakes grow higher.

What Readers Can Do

Fortunately, you do not have to abandon AI shopping tools entirely. With a few practical steps, you can reduce your exposure while still enjoying the convenience. Here are several actions that privacy experts commonly recommend:

1. Review permissions and settings before using a tool.
When you first install an AI shopping assistant or enable one on a website, check what permissions it requests. Many ask for access to your location, contacts, or browsing history out of necessity — but sometimes they ask for more than they really need. Turn off any permission that is not essential for the tool to function.

2. Use a privacy‑focused browser or a dedicated shopping account.
Consider doing your AI‑assisted shopping in a browser that offers strong privacy protections, such as one that blocks trackers by default. Alternatively, create a separate email address and payment method for shopping accounts. This limits the data that can be tied to your real identity.

3. Limit data sharing to the minimum required.
If the AI assistant offers options to share purchase history or preferences, choose the least amount possible. Some tools allow you to use them in “guest” mode without creating a full profile. Use that whenever you can.

4. Look for transparent privacy policies.
Before committing to an AI shopping assistant, read (or at least skim) its privacy policy. Pay special attention to sections on data collection, retention, and third‑party sharing. If the policy is vague or gives itself broad rights to use your data, treat that as a red flag.

5. Choose tools that encrypt your data and offer local processing.
Some AI assistants process data on your device rather than sending everything to a cloud server. This is a stronger privacy design. Also, look for end‑to‑end encryption for any stored information.

6. Regularly audit your connected accounts.
Periodically check which apps and services have access to your shopping data. Revoke access for any you no longer use. Many platforms let you download a copy of your data — reviewing it can show you what they hold and prompt you to delete it if you wish.

7. Stay informed about updates and breaches.
Sign up for breach notification services or follow consumer protection news. If an AI shopping tool you use experiences a data incident, change your passwords immediately and monitor your financial accounts for unusual activity.

Sources

• eMarketer, “Data privacy is shoppers’ biggest AI shopping fear, by far,” published May 5, 2026.
  Note: The original article behind the survey provides the core finding cited in this post.