Google buys crashed airline Spirit's data at auction, because AI

The thread barely dwells on Spirit as an airline. It treats the bankruptcy auction as a vivid example of how conversational, workplace, customer-support, and operational records can become raw material for AI once a company collapses. The scale of the archive—calls, chats, emails, tickets, files, marketing addresses, purchase histories, and flight records—made commenters uneasy because it turns ordinary interactions into a transferable corporate asset. Most readers reject the reassurance that the material was de-identified. They argue that removing obvious names does not make a sprawling, cross-linked archive anonymous: stable identifiers, unusual purchases, work conversations, and outside data can make people recognizable later. Several also draw a hard consent distinction: agreeing to call recording for human quality assurance is not agreeing to supply training material for a third party’s LLM. The fact that Google selects and pays the intermediary tasked with stripping identifiers deepened suspicion, even though the legal process appears to require an independent de-identification step. A smaller counterpoint says the value is obvious: real data from a large, messy business can teach models about operations in ways polished public datasets cannot. That possibility did little to calm the prevailing fear that these systems will sharpen automated insurance, hiring, and customer-service decisions while making corporate surveillance more normal.