On August 17, Atlassian will begin collecting customer data by default to improve the AI experience for customers, unless you have the most expensive subscription.
Atlassian plans to use customer data for AI training starting August 17. More specifically, this involves metadata and in-app data from Jira, Confluence, and several cloud products. According to the company, this data will be used to “improve AI experiences for all our customers.” Only companies with the highest-tier subscription can change the settings for sharing metadata.
The full rollout of data contribution settings is expected to be completed by May 19. After that, companies will have 90 days to adjust these settings. The new plan takes effect on August 17, 2026.
Subscriptions
Users can now review and adjust their preferences in Atlassian Administration before data is used. However, those settings depend on the type of subscription your organization uses.
For Free and Standard plans, sharing of metadata and in-app data is enabled by default. Sharing of in-app data can be disabled by all administrators, but for metadata, this is only possible for organizations with an Enterprise subscription.
Meta and in-app data
Atlassian refers to metadata and in-app data. “Metadata refers to characteristics of your content and insights into content that are common across customers,” according to Atlassian. It includes two data types: content attributes and common patterns. An example of content attributes is the number of story points assigned to a Jira work item, or the complexity of a Confluence page.
Common patterns may include “common words, phrases, or Rovo Chat prompt topics frequently used by customers, such as ‘vacation policy’ or ‘summarize team activities’.”
In-app data refers to content created by users within Atlassian apps. This may include: titles and content within Confluence pages; titles, descriptions, and comments of Jira work items; custom emoji names; or custom Jira or Confluence status names.
According to Atlassian, this measure is intended to ensure that companies receive a better AI experience. “We designed this change with your security and privacy in mind. You get control over your data contribution with new in-app settings and reinforced existing safeguards, so you can adopt AI with confidence,” the company concludes.