You sign up for LinkedIn to connect with colleagues, post your work milestones, and get job leads, right? Nowadays, however, this might as well be wrong. Instead, LinkedIn’s is making out of you an unpaid data fodder for future AI.
According to a recent announcement, starting November 3, 2025, LinkedIn will begin sharing user data with Microsoft and its affiliates to train generative AI models. This isn’t limited to US users. The policy expands to EU, EEA, Swiss, Canadian, and Hong Kong users, as well. And here’s the kicker: you’re opted in by default.
That means everything from your public profile, past work experience, resume, posts, comments, group activity, and more may be ingested by AI unless you explicitly opt out. The only data LinkedIn says it won’t train on is private messages, login credentials, payments, and salary details. Can we trust them?
Why It Matters?
This isn’t a dry terms-of-service tweak. It’s a shift in how digital platforms think of your professional identity. Here’s why it rings alarms:
1. Your data belongs to you
You’ve built a profile over years with jobs, certifications, and endorsements. None of that was ever verbalised with the idea it would be “training data.” Now, LinkedIn says your professional identity is part of its AI engine. That’s a different kind of relationship.
2. Control is an illusion after data enters a model
Once your data becomes part of a neural network, it’s nearly impossible to remove it. Retracting posts or toggling a setting doesn’t guarantee your information is erased from model weights. Privacy regulators are warning: “once it’s in, you lose control.”
3. GDPR, legitimate interest, and a legal tightrope
LinkedIn likely leans on the legal doctrine of “legitimate interest” to justify this policy under European law. But data authorities have already published cautions and scrutiny is mounting. Also, policy is expanding into territories that once were excluded like the EU. And that raises flags.
4. The real stakes
This isn’t social media. LinkedIn is built on your career and network. Likely, your future depends on it. Using that fabric for AI training touches on deep trust. If your profile and choices get folded into a black-box AI engine, that’s a bit like identity theft.
What You Should Do (Before November 3)?
You have options, so don’t lean back on passivity. Your data deserves consent.
- Opt out now
Go to Settings & Privacy → Data Privacy → Data for Generative AI Improvement and toggle off “Use my data for training content creation AI models.”
Also consider filing a Data Processing Objection via LinkedIn’s form if you want legal clarity. - Audit your posts and profile
Anything public such as old job descriptions and comments may already be in the model. Consider cleaning up content you’re uncomfortable having baked into AI. - Be proactive about change
Keep an eye on your regional data authority’s rulings. These privacy institutions are the only firewall you have between your data and algorithmic absorption.
Why do we care?
You may wonder why does pCloud care? Well, because your data trust is everything. When a platform you expect to protect your identity turns around and claims your profile is “trainable,” you lose faith both in that platform, and in the broader digital ecosystem. And we are part of that ecosystem.
If LinkedIn thinks it can get away with opaque opt-out defaults, tech giants may push similar model-feeding policies elsewhere. And that’s a problem.
We want to stand out not only with our features, but also with our principles. That’s why we maintain zero-knowledge, true opt-in consent, and data ownership.
When you joined LinkedIn, you expected a network, not a neural net. You expected opportunities, not algorithms ingesting your life story. Now, you’re being inserted into their AI pipeline.
So don’t let November 3 slip by as a quiet update. Opt out. Push back. Demand clarity. Because your professional identity is yours.
pCloud – Keep it yours.
