Spirit Airlines shut down for good in May, after its second Chapter 11 filing in as many years. Its aircraft and gate slots went to the highest bidders in a fairly ordinary bankruptcy scramble. JetBlue alone paid $58.5 million for 22 of Spirit's LaGuardia slots. Its Microsoft Teams archive turned out to be worth something too, just not to another airline.
Google has agreed to pay $10 million for a slice of Spirit's internal data, according to Bloomberg Law. That beats a $7.5 million backup offer from AI recruitment and data firm Mercor. The US Bankruptcy Court for the Southern District of New York is due to hear the sale on Wednesday. Google says it intends to use the material to improve its products and train its AI models.
Inside the Archive: 500 Million Teams Chats and More
The scale of what's changing hands is what makes this a UC&C story rather than a straightforward AI or aviation one. According to Axios, court documents put the archive at around 100 million emails and roughly 500 million Microsoft Teams chats and collaboration records. Alongside that sits 17 million OneDrive files, more than 20 million SharePoint items, and 516 code repositories holding about 30 million lines of custom software. The archive also includes pricing models, booking curves, crew schedules and HR records.
Google says it isn't buying customer data. The deal excludes Spirit's roughly 97.5 million passenger profiles and an estimated 50.2 million Free Spirit loyalty records. A third party will strip personally identifiable information from what remains before transfer, with Google covering the cost. Google has also agreed not to attempt to re-identify anyone in the sanitised data.
For a Microsoft 365 tenant, that distinction doesn't change the basic shape of what's happening. A company's internal collaboration history, built up over years of day-to-day coordination, becomes a saleable AI training asset once the company stops existing.
What the Deal Means for Microsoft Teams Data Governance
Microsoft has spent much of the past year telling enterprise customers the opposite story about their Teams data. Microsoft promises that Commercial Data Protection stops Copilot from storing or using Teams prompts and responses to train models, and it has made the same promise about Teams voice and face enrollment data. IT and compliance teams have largely taken that framing at face value. It shapes how comfortable they are putting sensitive conversations through Teams and Copilot.
The Spirit sale sits outside that framework entirely. A bankruptcy court is treating a defunct company's Teams archive as a disposable asset, selling it to the highest bidder. That bidder can strip out obvious identifiers and use the archive for AI training. Microsoft's governance commitments don't cover what happens to years of internal chats once the company that generated them stops existing. None of the sensitivity labels, retention policies or DLP rules built under the frameworks pushed at Ignite 2025 account for it.
De-identification of Teams and Email Data Has Limits
Cleaning decades of employee chat logs is unlikely to be as clean as the phrase "de-identified" suggests. Internal Teams messages and emails carry more than names and email addresses. Project codenames, reporting lines, writing style, and references to specific meetings or decisions can make individuals identifiable even after the obvious markers are gone, particularly at this scale. That's a harder problem in chat data than in the structured databases, such as pricing or booking systems, that are also part of the sale.
For enterprise IT and legal teams, the Spirit deal answers a question that's mostly been theoretical until now. What actually happens to a company's Teams and email archive if the business folds, changes hands, or winds down a division? Data retention and offboarding policies tend to focus on access control while a company is a going concern. Few account for the possibility that a court could later auction off the archive as a business asset.
Why Enterprise Data Is Becoming AI's New Prize
Michael Curry, president of the data modernisation business unit at Rocket Software, sees deals like this becoming far more common as frontier AI labs push deeper into enterprise territory.
