GitHub Copilot Will Train on Your Code from April 24

30-Second Summary

GitHub has announced a significant change to its Copilot data usage policy. From April 24, 2026, interaction data from users on Copilot Free, Pro, and Pro+ plans will be collected and used to train AI models by default. The data includes code snippets, accepted suggestions, repository structure, and chat interactions. Microsoft affiliates may also receive the data. Users must actively opt out before the deadline. Copilot Business and Enterprise plans are not affected. For operators whose teams use any of the three affected plan tiers, this is a hard deadline that requires action.

At a Glance

• Topic: AI Security
• Company: GitHub / Microsoft
• Date: 27 March 2026
• Announcement: GitHub updates Copilot data usage policy to enable AI model training by default from April 24, 2026
• What Changed: Interaction data from Copilot Free, Pro, and Pro+ users will be used for AI training unless users opt out
• Why It Matters: Businesses with proprietary codebases or client IP on affected plan tiers have fewer than 30 days to respond
• Who Should Care: CTOs, engineering leads, and operators whose teams use GitHub Copilot Free, Pro, or Pro+ plans

Key Facts

• Company: GitHub (owned by Microsoft)
• Launch Date: Policy takes effect April 24, 2026
• What Changed: Copilot Free, Pro, and Pro+ interaction data will be used to train AI models by default
• Who It Affects: All users on Free, Pro, and Pro+ Copilot plans. Copilot Business and Enterprise users are excluded.
• Data Collected: Code snippets, accepted suggestions, repository structure, and chat interactions
• Third Parties: Microsoft affiliates may receive the data
• Primary Source: GitHub Blog official policy update

What Happened

GitHub announced on March 26, 2026 that it will begin using interaction data from Copilot users to train AI models, effective April 24, 2026. The change applies to users on Copilot Free, Pro, and Pro+ plans. Users on these plans who take no action before April 24 will have their data included in training by default.

The data GitHub will collect includes code snippets that are shown to users, suggestions that are accepted, repository structure information, and chat interactions within the Copilot interface. GitHub's parent company, Microsoft, and its affiliates may also receive this data under the updated terms.

Copilot Business and Copilot Enterprise users are not affected by the change. These higher-tier plans have historically operated under stricter data protections and the new policy does not alter their terms. The distinction matters for operators: the tiers most commonly used by individual developers and small teams are the ones subject to the change.

The opt-out process is available through GitHub account Settings under the Privacy section. Users can disable the option labelled "Allow GitHub to use my data for AI model training." The setting must be updated by each affected user individually.

Why It Matters

• The default position is opt-in, meaning any user who does not actively change their settings before April 24 will be contributing data to AI training
• Businesses that allow developers to use personal or team Copilot Free, Pro, or Pro+ accounts may be unknowingly consenting to client or proprietary code being used as training data
• Microsoft affiliates receiving the data broadens the potential exposure beyond GitHub's own systems
• The 28-day notice window is short for organisations that need to go through IT, legal, or compliance review before acting
• This follows a pattern of AI vendors expanding data use rights as model training costs increase and competitive pressure mounts
• The policy creates a two-tier system where adequate data protection requires paying for Business or Enterprise plans

The David and Goliath View

GitHub's policy update is a clear signal of the direction the AI tooling industry is heading. The business model logic is straightforward: free and mid-tier users generate interaction data, and that data has real value for improving AI models. The tradeoff is that businesses using these tiers are, intentionally or not, subsidising model improvements with their own code.

For lean organisations, the risk is not abstract. A 15-person software consultancy whose developers use personal Copilot Pro accounts may have client code flowing into training data. A product company with a proprietary algorithm may not realise its logic is being used to improve a tool available to competitors. The data is anonymised, but anonymisation is not the same as protection, and the value of training data is in patterns and structure, not in identifying individual contributors.

The practical response is straightforward: audit plan tiers, update settings, and document the action. If your business has any material proprietary code or client IP, the cost difference between Pro+ and Copilot Business is likely worth paying for the data protections that come with the higher tier. Do not wait for a compliance review to initiate this conversation.

Where This Fits in the AI Stack

Secure AI Brain: This story is a direct illustration of why data governance for AI tools requires a dedicated system. Knowing which AI tools your team uses, what data each tool can access, and what the vendor's usage policies are is foundational to secure AI adoption. The Claude Marketplace launch this week is another example of the same principle at the procurement layer.

Employee Amplification Systems: AI coding tools like Copilot are core infrastructure for technical teams. The conditions under which those tools operate, including what data they collect, directly affects how safely teams can use them as force multipliers. Operators need policies for AI tool use that are as clear as their policies for SaaS access.

Questions Operators Are Asking

Does this affect all GitHub users? No. The change only affects users on Copilot Free, Pro, and Pro+ plans. Users on Copilot Business and Copilot Enterprise plans are not affected and their data will not be used for training under the updated policy.

What data is actually collected? GitHub will collect code snippets shown to users, suggestions that are accepted, repository structure, and chat interactions within Copilot. Microsoft affiliates may also receive this data.

How do we opt out? Each affected user must go to their GitHub account Settings, navigate to the Privacy section, and disable the option labelled "Allow GitHub to use my data for AI model training." This must be done before April 24, 2026.

Should we upgrade to Copilot Business instead? If your team regularly works with proprietary code, client IP, or operates in a regulated industry, the upgrade is worth evaluating. Copilot Business and Enterprise plans exclude user data from AI training and offer additional administrative controls. Compare the per-seat cost difference against the risk profile of your codebase.

Could this affect our client contracts? Potentially, depending on your contracts. If you have data handling clauses with clients that restrict how their code or information can be used, developer tools that collect interaction data may create a compliance issue. This is worth raising with your legal team if you handle sensitive client work.

Citable Summary

What happened: GitHub announced that from April 24, 2026, interaction data from Copilot Free, Pro, and Pro+ users will be used to train AI models by default. Users must opt out via Privacy settings before the deadline.

Why it matters: Any business whose developers use mid-tier or free Copilot plans has fewer than 30 days to act before their code and interactions are included in AI training data by default. Inaction equals consent.

David and Goliath view: This is a data governance event with a hard deadline. Operators should audit Copilot plan tiers across their team, update Privacy settings before April 24, and consider whether the data protection that comes with Business or Enterprise plans is worth the upgrade cost for their risk profile.

Offer relevance:

• Secure AI Brain: establishes the need for a systematic approach to AI tool data governance, vendor policy monitoring, and access controls
• Employee Amplification Systems: highlights the governance layer required when AI tools are used as productivity infrastructure across technical teams