Atlassian to begin using customer metadata and and in-app data to train AI

Atlassian to begin using customer metadata and and in-app data to train AI(atlassian.com)

1 points by AaronM 25 days ago | 3 comments

AaronM 25 days ago |

Today, we already use this metadata and in-app data to improve your organization’s experience only. For example, we may identify and analyze similar content within your instance to better surface relevant results for your users.

Starting August 17, 2026, we will begin to use customer metadata and in-app data to improve our apps and experiences for all customers.

If your Atlassian organization has an active Enterprise plan, you can opt-out of metadata contribution.

NuclearPM 25 days ago | |

“ Why is Atlassian making this change?

We’re continuously investing in ways to help your teams achieve more with our platform and this change is no different. AI is already multiplying what teams can accomplish, from agents that simplify complex workflows to enterprise search and chat that quickly surface the right context when it matters”

Isn’t money the real answer?

vovanidze 25 days ago | | |

charging an enterprise premium just to give users the privlege of opting out of metadata harvesting is wild. they know exactly how valuable project structures, issue titles and sprint cadence data are for training models.

this trend is exactly why relying on client-side 'trust" or saas toggles is failing us. if you want real privacy now you have to build it into the architecture. aggressive edge caching and stateless proxies that sanitize payloads before they even hit the upstream provider is basically mandatory now. if the data never reaches their persistence layer, they cant train on it. we need to start trusting our own infra, not their updated tos.