Short answer: LinkedIn’s official help says members can use the setting called “Data for Generative AI Improvement” to control whether LinkedIn and its affiliates use their LinkedIn data to train generative AI models that create content, such as suggested posts or messages. The setting is on by default unless you turn it off. Turning it off, LinkedIn says, stops that use going forward; it does not undo training that has already taken place. The control does not cover every AI system LinkedIn uses (for example personalisation, security or anti-abuse models), and feedback you send about AI features may still be used. A TimeBind cannot opt you out of LinkedIn. It can date a file you kept yourself — a CV, an article draft, a portfolio PDF — so you still have a checkable copy that is independent of the profile.
Last checked 12 November 2026. General information for professionals and anyone who keeps a LinkedIn profile, not legal, privacy or consumer-rights advice. LinkedIn’s setting names and regional notices can change. Check the Data privacy page in your own account. TimeBinder does not change LinkedIn’s settings, does not detect whether a profile or post was used in training, and a dated record is not proof that a file was kept out of a model.
Table of Contents
What LinkedIn officially says
LinkedIn publishes a help article, “Control whether LinkedIn uses your data to improve generative AI (GAI) models that are used for content creation on LinkedIn,” and a longer “LinkedIn and generative AI (GAI) FAQs” page. Those are the sources for the setting name and the limits below. Menu labels in the app can move; use what your own Settings & Privacy page shows.
In outline:
- The setting. It is called Data for Generative AI Improvement. LinkedIn says you will find it under Settings & Privacy, in the Data privacy area. Turn it off to opt out.
- Default on. LinkedIn says the setting is on by default unless you turn it off. If LinkedIn has reason to believe you could be under 18 — for example if you are in secondary school or its local equivalent — it says your data will not be used to train content-generating models, even if the setting appears turned on.
- Future, not past. Turning the setting off means LinkedIn and its affiliates will not use the data and content you provided to LinkedIn to train models that generate content going forward. Opting out does not affect training that has already taken place.
- What it covers, and what it does not. The setting applies to training and improving generative models used to generate content (LinkedIn gives suggested posts or messages as examples). It does not apply to training of models used for other purposes, such as personalising your LinkedIn experience, or models used for security, safety or anti-abuse. You can still use LinkedIn’s generative AI features after you opt out; the setting controls training of the models, not whether the features run on your account.
- Feedback is a separate path. Even after you opt out, LinkedIn says that if you choose to provide feedback (thumbs up or down, or text you include), it may still use information in that feedback to train content-generating models. Its FAQs also point to a Data Processing Objection form for feedback and improvement data.
Interest in the setting is current. Google autocomplete on 12 November 2026 suggested “linkedin ai training opt out” and “linkedin ai data training opt out.” A 2 November 2026 post describing the default-on toggle was circulating on X. Treat social posts as a prompt to open LinkedIn’s own help, not as a source of setting names.
United States, the EU, the UK and Switzerland
The same setting is the official control LinkedIn describes for members generally, including in the United States. Regional privacy notices still matter.
For members in the Designated Countries (the EEA and Switzerland) and the UK, LinkedIn published a terms and data-use update about a change that started on 3 November 2025. From that date, LinkedIn says it can use some data from members in those regions to train content-generating AI models. It says this may include details from your profile and public content you post, and that it does not include private messages. LinkedIn says it relies on legitimate interest for this processing, and that you can opt out in settings at any time.
LinkedIn also says that if you are in the Designated Countries, your personal information will not be made available to certain LinkedIn affiliates (it names Microsoft as an example) for training generative AI models without further notice. The setting, LinkedIn says, also controls whether it can share this member data and content with its affiliate Microsoft for Microsoft’s model-training activities. Read the European Regional Privacy Notice and the help pages in your own account rather than relying on a screenshot from another country.
LinkedIn’s FAQs list categories it says it may use to train content-generating models, including profile data, prompts you type into generative features, some jobs-related data (for example resumes stored on the account that are not tied to a specific application), group activity, and member posts and comments. It lists things it says it will not use for that training, including private messages (InMail and inbox), login credentials, payment methods, and salary or job-application data attributable to a specific member.
Practical checklist
- Open the official setting. In LinkedIn, go to Settings & Privacy, then Data privacy, and look for Data for Generative AI Improvement. Turn it off if you want to opt out. If you cannot see it, use LinkedIn’s help article from your logged-in account; do not rely on a third-party tutorial for the only path.
- Keep a record of the change. Save a dated screenshot of the setting after you change it, and note the date and which account it applies to. A screenshot is weaker than an official confirmation, but it is better than memory. Menu names move.
- Be careful with AI-feature feedback. If you have opted out and still use LinkedIn’s writing tools, avoid putting confidential text into thumbs-up/down feedback.
- Keep the working file, not only the profile. A profile is not a backup of your CV, your articles, or the portfolio PDF you uploaded. Store those files somewhere you control.
- Date the files that matter. A TimeBind can record that an exact CV, manuscript or portfolio file existed no later than a recorded time and still matches. That is a separate job from LinkedIn’s toggle.
Related official-control guides: how to opt out of Meta using Instagram and Facebook posts for AI training, and what Google’s Gemini and Gmail training controls actually do.
What a TimeBind does and does not show
A TimeBind is a dated, checkable record that an exact file existed no later than a recorded time and still matches. The SHA-256 fingerprint is made in your browser and the file is never uploaded. The record is anchored to Bitcoin (a Merkle root in an OP_RETURN). Your first Pooled TimeBind is free; after that, TimeBinds start from US$5, and an ASAP TimeBind is US$15. See how it works.
In this setting, a TimeBind is useful for a file you kept: the CV or case-study PDF that sits behind a profile, an article you also posted on LinkedIn, or a screenshot of the setting as it appeared on a given date. You can later show that this exact file existed no later than the recorded time and still matches.
A TimeBind does not change LinkedIn’s settings, does not show whether a profile or post was used in training, does not show who wrote a text, and does not create a copyright or an ownership right.
Limits
Platform settings change. A path that works in November 2026 may be labelled differently later, or may be limited in a particular country. We have not opened every regional notice, and this page is not a guarantee that LinkedIn will honour a setting the way its help pages describe. An opt-out, where it is honoured, is described as covering future training of content-generating models. It is not a takedown of other models, a licence that binds third parties, or a finding about any one post.
Tools that can help
Start with LinkedIn’s official help article. If you post images of your work, the free Content Credentials checker reads what a C2PA manifest declares (it does not verify signatures on its own), and the photo metadata remover lets you inspect and strip location or camera data before you upload. For a dated copy of a file you keep yourself, see the creators hub and how a TimeBind works.
Frequently Asked Questions
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If I turn the setting off, is my data removed from models already trained?
Not on the official pages we read. LinkedIn says opting out does not affect training that has already taken place. It describes a stop on future use for content-generating models.
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Does this setting stop Microsoft training on my LinkedIn data?
LinkedIn says the setting controls use by LinkedIn and its affiliates, and that in the Designated Countries (EEA and Switzerland) personal information will not be made available to certain affiliates such as Microsoft for generative-AI training without further notice. It also says the setting controls whether it can share this data with Microsoft for Microsoft’s model-training activities. Read the notice that applies to your country. This is not a master switch for every Microsoft product.
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Are my private messages used to train these models?
LinkedIn’s FAQs say private messages, including InMail and inbox messages, are not used to train its generative AI models that produce content. Posts, comments and profile data are listed in the categories that may be used, subject to your setting and applicable law.
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Does a TimeBind opt me out of LinkedIn training?
No. A TimeBind does not change a platform’s settings. It records that an exact file you TimeBind existed by a date and still matches.
Sources checked
- LinkedIn Help, “Control whether LinkedIn uses your data to improve generative AI (GAI) models that are used for content creation on LinkedIn,” https://www.linkedin.com/help/linkedin/answer/a6278444 (read 12 November 2026)
- LinkedIn Help, “LinkedIn and generative AI (GAI) FAQs,” https://www.linkedin.com/help/linkedin/answer/a5538339 (read 12 November 2026)
- LinkedIn Help, “Update to our Terms and data use,” covering the 3 November 2025 change for the EEA, Switzerland and the UK, https://www.linkedin.com/help/linkedin/answer/a8059228 (read 12 November 2026)
Date the file you keep yourself
Your first Pooled TimeBind is free, with no credit card required. After that, TimeBinds start from US$5, and an ASAP TimeBind is US$15. Click here to start, or see plans and pricing.
