How to Protect Your Privacy in the Age of AI: What Every User Should Know

Artificial intelligence tools are embedding themselves into everything from email assistants to photo editors to health trackers. With that convenience comes a growing question: what happens to your data? Surveys consistently show that about 70% of users are concerned about how companies use their personal information in AI systems. That’s a trust gap that businesses are starting to acknowledge. Telefónica, for example, recently published a piece on how companies can build digital trust in the AI era. But as a consumer, you don’t have to wait for industry pledges. There are concrete steps you can take right now to understand and control how your data is handled.

What’s happening: Companies are talking about digital trust

Telefónica’s article is part of a broader trend. Major telecoms, cloud providers, and app developers are releasing statements about data governance, transparency, and user consent. They know that if people don’t trust the AI services they use, adoption stalls. In practice, many companies are introducing privacy dashboards, clearer consent forms, and data deletion options. But the details vary widely. Some are genuinely privacy-first; others are still collecting large amounts of data under vague policies. The key is learning to distinguish between the two.

Why it matters: Your data is the fuel

Most AI models learn from data. That data often includes your messages, photos, search history, location, and even biometric information. When you use a free AI tool, you are often paying with personal information instead of money. Not every company is transparent about how long they keep that data, whether it is shared with third parties, or whether it is used to retrain their models. Even if a company says “we value your privacy,” the actual practices can fall short. Understanding this trade-off is the first step to protecting yourself.

What you can do: A practical checklist

You do not need to be a privacy expert to assess an AI service. Here are concrete indicators that a company is serious about protecting your data, along with steps you can take.

Checklist for spotting a privacy-first AI service

  • Clear, readable privacy policy. Look for a policy that explains what data is collected, why, and how long it is stored. Avoid services that bury the details in legal jargon.
  • Explicit consent options. The service should ask for permission before collecting sensitive data, and you should be able to decline without losing core functionality.
  • Data minimization. Does the service collect only what it genuinely needs? An AI email assistant does not need your location, for example.
  • Transparency reports. Companies that publish regular transparency reports about government requests or data breaches tend to be more accountable.
  • Easy data deletion. You should be able to delete your account and have your data removed without jumping through hoops.
  • On-device processing options. Some AI tools run models locally on your device, meaning your data never leaves your phone or computer. This is a strong privacy signal.

Questions to ask before using an AI tool

  1. Where is my data processed and stored? (Cloud or device?)
  2. Is my data used to train or improve the AI model? If yes, can I opt out?
  3. How long do you retain my data? Can I request its deletion?
  4. Do you share my data with third parties? If so, who and for what purpose?
  5. What happens to my data if I stop using the service?

If the answers are unclear, that is a red flag.

Steps to protect your privacy today

  • Review the privacy settings of any AI tool you already use. Disable data sharing for training if possible.
  • Use a separate email or account for AI services you are testing.
  • Consider tools that advertise end-to-end encryption or on-device processing for sensitive tasks.
  • Keep an eye on company announcements about privacy – if a service changes its policy to collect more data, you have the option to leave.
  • Use browser extensions or privacy-focused search engines that block tracking.

Staying informed as AI evolves

The regulatory landscape is shifting. Europe’s AI Act and similar laws in other regions are pushing companies to be more transparent. But regulation cannot replace your own awareness. The habits you build now – reading privacy notices, adjusting settings, asking questions – will serve you as new tools appear. Digital trust is not just something companies build; it is something you maintain by staying informed and making deliberate choices about which services you let into your digital life.

Sources

  • Telefónica. “Artificial Intelligence and data privacy: How companies can build digital trust in the AI era.” (June 2026)
  • Multiple consumer surveys (2025–2026) indicate approximately 70% of users report concern about AI and data privacy.