Report reveals alarming collection of data by AI chatbots

A new Surfshark report has revealed that while AI-powered chatbots have become essential tools for gathering information and creating content, they come with a significant trade-off in privacy.

The analysis revealed striking differences in data collection practices among popular AI services, with some platforms collecting up to 90% of possible data types.

AI data collection

Karolis Kaciulis, a Leading System Engineer at Surfshark, stated that a comprehensive examination of AI data collection practices reveals the hidden costs of “free” AI assistance and emphasises the importance of privacy awareness when selecting AI tools.

“We identified the 10 most popular AI chatbots, with Meta AI added as an additional app on May 20, 2025, and analysed their privacy details on the Apple App Store.

“The comparison was based on how many types of data each app collects, whether it collects any data linked to you, and whether the app includes third-party advertisers. We also checked the privacy policies of DeepSeek and ChatGPT to better understand what kind of data is kept on servers and for how long,” Kaciulis said.

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AI apps

According to the study, nearly half (45%) of the examined AI apps gather location data from users, while 30% of the AI services track user information for targeted advertising purposes.

Meta’s recently introduced chatbot app, Meta AI, collects the most user data among the analysed apps, gathering 32 out of 35 possible data types — over 90% of the total.

Google Gemini collects 22 unique data types. This includes precise location data, which only Gemini, Meta AI, Copilot, and Perplexity collect.

ChatGPT collects 10 types of data, such as contact information, user content, identifiers, usage data, and diagnostics, while avoiding tracking data or using third-party advertising within the app.

Copilot, Poe, and Jasper are the three apps that collect data used to track you. This data could be sold to data brokers or used to display targeted advertisements in your app.

Chatbots

Kaciulis said AI chatbots learn from diverse sources of information, with Meta AI having the additional factor of learning from Facebook and Instagram posts and images.

“People should keep in mind that even though these chatbots may provide you with a quick answer, the results they get are mediocre. Why is that? AI chatbots are being fed with all kinds of information, and the majority of it can be inaccurate.

“Every person is responsible for the results they provide at their job, but generative AI is not; it is unaccountable and is not legally subject to the same scrutiny as a human,” Kaciulis said.

Kaciulis said the latest example of how X’s Grok responded to unrelated prompts and discussed white nationalist themes with X users highlights the challenge with current generative AI standards.

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