How AI Tools Are Eating Away Your Privacy (And What You Can Do About It)

If you’ve used a chatbot to draft an email, asked a voice assistant for the weather, or let a streaming service recommend your next show, you’ve interacted with artificial intelligence. What’s less visible is the data these tools collect about you—your words, your habits, your location, even your tone of voice. A recent post by Heather Parry on Substack, titled “AI’s erosion of privacy,” highlights how this data collection is expanding faster than most users realise.

This isn’t about fearmongering. It’s about understanding what’s happening under the hood and knowing a few practical ways to take back control.

What happened

Heather Parry’s piece, published in April 2026, argues that the convenience AI offers comes at a steep privacy cost. She points out that many popular AI tools—from large language models like ChatGPT to smart home assistants—collect far more data than they need to function. Voice recordings, message histories, browsing patterns, and even subtle behavioral cues are stored, analysed, and sometimes shared with third parties. The post echoes a broad consensus among digital rights groups that user consent is often buried in lengthy terms of service, and that opt-out options are deliberately hard to find.

This is not a single scandal; it’s a systemic trend. As AI integration deepens into everyday products, so does the footprint of personal data left behind.

Why it matters for everyday consumers

The risks are not abstract. When an AI tool stores your voice commands or chat logs, that data can be exposed in a breach, used to build detailed profiles about you, or sold to advertisers without clear consent. There have been documented cases of companies using customer data from AI features for training models in ways users never agreed to. Even if a company promises anonymity, re‑identification is often possible when enough data points are combined.

For the average person, the outcome is a loss of control. You might not mind a streaming service knowing your taste in movies, but you probably didn’t expect your smart speaker to record snippets of private conversations and send them to a server for training. The line between helpful personalisation and invasive surveillance is blurring.

What readers can do right now

You don’t need to become a privacy expert to reduce your exposure. Here are straightforward steps you can take:

  • Limit permissions. Check which apps and devices have access to your microphone, camera, and location data. On your phone, go to Privacy settings and revoke permissions for any AI‑powered app that doesn’t genuinely need them (most don’t).

  • Use local AI when possible. Some AI tools run entirely on your device—for example, Apple’s on‑device processing for Siri or open‑source language models you can download. These send zero data to the cloud. If you can, choose local over cloud‑based.

  • Audit connected services. Log into your account dashboards for Google, Amazon, or Microsoft and review your data and privacy controls. Many offer options to delete voice recordings, chat histories, or search logs. Set auto‑delete for older data (e.g., every 3 or 6 months).

  • Be selective about what you share. Assume that anything you type or say to an assistant could be stored. Avoid sharing sensitive personal details (health info, financial numbers, passwords) with any AI tool.

  • Consider privacy‑focused alternatives. For chat, look into DuckDuckGo’s AI Chat (which anonymises queries) or self‑hosted models like Ollama. For smart assistants, skip the cloud‑dependent ones and use open‑source options on a Raspberry Pi.

None of these steps are perfect, but they meaningfully shrink the data surface AI tools can access.

Sources

  • Parry, H. (2026). AI’s erosion of privacy. Substack.
  • Digital rights organizations (e.g., Electronic Frontier Foundation, Privacy International) have consistently reported on the gap between user expectations and actual data practices in AI products.

Privacy is not a one‑time setting; it’s an ongoing decision. The more you understand how these tools work, the easier it becomes to keep your data where it belongs—with you.