AI and Your Privacy: What Companies Aren’t Telling You

Every time you ask a chatbot a question, use a photo-editing app, or let a smart assistant schedule a meeting, you’re feeding data into an artificial intelligence system. The question that matters most is not whether AI is useful—it clearly is—but what happens to the information you hand over. Recent announcements from companies like Telefónica and Microsoft show that “digital trust” has become a buzzword in boardrooms. But for the average user, the gap between corporate promises and real privacy protection remains wide. This article cuts through the marketing and explains what’s actually going on with your data when you use AI tools, and what you can do about it.

What Happened: The Push for Digital Trust

In mid-2026, Telefónica published a series of articles arguing that companies must build digital trust to succeed in the AI era. Microsoft echoed the sentiment at Mobile World Congress, highlighting how telecoms can use AI while maintaining customer confidence. These are not isolated statements. Across the tech industry, firms are racing to show they take data privacy seriously—largely because regulators and consumers are demanding it.

The core issue is straightforward. Most AI models—especially large language models and image generators—require enormous amounts of data to train. That data often comes from users, sometimes without explicit consent. For example, a chatbot may log your conversations to improve its responses. A photo app might upload your images to a cloud server to train its recognition algorithms. Companies have historically buried these practices in long terms-of-service agreements, leaving users unaware.

Now, partly due to regulations like the EU AI Act and partly due to public pressure, companies are beginning to offer more transparency. You can find privacy policies that explain data usage, and some tools now let you opt out of training. But the details vary widely, and the burden of understanding them still falls on the user.

Why It Matters: Risks You Might Not Have Considered

The concrete risks of AI data collection are not abstract. If a company uses your chat history to train a model, that data could be reconstructed or leaked. In 2023, researchers showed that it was possible to extract training data from some language models. While companies have taken steps to prevent this, the risk has not disappeared.

Beyond data breaches, there is the issue of profiling. AI systems can infer sensitive information from seemingly harmless inputs. For example, a smart assistant that knows your daily routines could reveal when you are home or away. A photo app that analyzes your images might guess your location, health status, or personal relationships. Even if the company promises not to sell your data, it may still use it to improve its products—or share it with partners under vague legal terms.

Another often-overlooked problem is the lack of control after you stop using a service. Once your data has been used to train a model, you cannot effectively delete it. Your information is baked into the model’s weights, and removing it entirely is technically difficult.

What Readers Can Do: Practical Steps to Protect Your Privacy

You do not need to abandon AI tools entirely, but you can take concrete steps to reduce your exposure. Here are the most effective measures, based on current industry practices and regulatory guidelines.

1. Adjust privacy settings in every AI tool you use.
Most major platforms—including Google, Microsoft, OpenAI, and Meta—offer settings that let you control whether your data is used for training. Look for options like “Improve the model” or “Share data with product development.” Turn them off unless you have a specific reason to keep them on. Check these settings regularly, as companies sometimes change defaults after updates.

2. Read the privacy policy—at least the key points.
You do not need to read every word. Focus on sections titled “Data we collect,” “How we use data,” and “Data sharing.” Look for language about training AI models, third-party access, and data retention periods. If a policy is vague or overly broad, consider that a red flag.

3. Use alternatives that prioritize privacy.
For common tasks, there are often AI tools designed with privacy in mind. For example, instead of a cloud-based assistant, consider a locally run model that processes everything on your device. Open-source options like Llama or Mistral can be run offline. For photo editing, apps like Photomator process images on-device and do not send data to servers.

4. Limit what you share with AI assistants.
Avoid giving personal information to chatbots unless absolutely necessary. Do not provide your real name, address, phone number, or financial details. Treat AI interactions as you would a public forum—because in many ways, they are.

5. Use separate accounts for AI services.
Consider creating a dedicated email address or using a pseudonym for tools that require registration. This limits the ability of companies to link your AI usage to other personal data they hold about you.

Looking Ahead: Regulation and Consumer Power

The EU AI Act, which is gradually coming into force, will impose stricter requirements on high-risk AI systems, including transparency obligations. Similar laws are being debated in other regions. But regulation takes years to implement, and enforcement is uneven. In the meantime, the strongest lever consumers have is their choices. Services that do not respect privacy will eventually lose trust, and companies know that.

The shift toward “digital trust” is not just a marketing tactic—it reflects real business incentives. But trust must be earned, not claimed. By staying informed and adjusting your settings, you can navigate the AI era without surrendering your privacy.

Sources

• Telefónica, “Artificial Intelligence and data privacy: How companies can build digital trust in the AI era,” June 29, 2026.
• Microsoft, “MWC 2026: Microsoft Helps Telecoms Realize AI ROI,” February 24, 2026.
• Telefónica, “AI regulation: what it is, its impact on businesses, and how to create value with secure and reliable artificial intelligence,” June 8, 2026.
• European Commission, “EU AI Act,” as adopted in 2024. (General information on regulatory framework.)