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Spirit's data auction shows what office AI is missing. Google ($GOOGL) opened at $5m and was selected at $10m for Spirit Airlines' internal data in August. Mercor was the $7.5m backup. Then micro1 proposed $12.5m. The sale still awaits court approval, with a hearing scheduled for November 6. The material includes emails, Teams conversations and business records. Google's counsel confirmed that it wants the data for AI training. I think this competition for records of real work will keep pushing up the value of enterprise data. This fits our earlier argument about why coding agents advanced faster than office automation. Coding has public repositories and tests that provide fast feedback. In office work, the context behind a decision is often scattered across private documents and conversations. Knowing how to use a spreadsheet is only part of the job. Knowing why an exception was approved, and what happened afterward, is much harder to learn from the public internet. My read is that Google is preparing for that gap. Internal records could help models learn how work moves through an organization, provided those records can be turned into tasks with outcomes that can be checked. Also it remains an open opportunity for $MNDY https://t.co/Rmzyg6DE0y, and other AI-native productivity startups to tacle. Gemini 4 Carbon already leads Artificial Analysis' AutomationBench-AA, which tests simulated workflows across business applications. Google is competitive in the kind of work this data could help models learn. Anthropic's IPO filing also puts adoption in perspective. As of September, over 50% of the Fortune 500 generated at least $100,000 each in trailing-year revenue for Anthropic. Among the publicly listed customers in that group, spending on Anthropic averaged under 0.1% of total expenses in 3Q26. We still think enterprise AI is falling short on office automation. Having access to a model tells us little about how much work a company can delegate to it. I find Google's enterprise opportunity more compelling over time than Meta's emphasis on personal AI. Google already has Workspace and Cloud as routes to customers. If better training on real work makes its models reliable enough to complete office tasks, it has a way to sell that capability. The unlock still requires models that can carry a task through the office environment with limited supervision. That remains some distance away. I think acquiring real work histories now could be a fruitful long-term bet for Google.

Another Haircut with Avy the Barber

SoFi’s stock case hinges on interest rates, tangible book value and private-credit loan sales after its $1.5 billion equity offering.

Twilio CEO: ‘Buy the dip!’

Twilio CEO Khozema Shipchandler urged investors to “buy the dip” after earnings sent the software maker’s shares down 17% after hours.

CoStar: 3Q26 Business Recap

CoStar’s 3Q26 revenue growth slowed to 14% as bookings fell to $37 million, while cost cuts lifted EBIT margin to 8.8%.

CLF · long

Cleveland-cliffs INC

Cleveland-Cliffs is pitched as a long on underappreciated earnings power, with more than 90% return potential over six to nine months.

PesoRama: Research Flash

PesoRama will reach 54 JOi Dollar Plus stores by November after raising C$28.4 million, funding more than 50 additional Mexican store…

Modine Deep Dive

Modine, soon Modexus Solutions, has a $4 billion hyperscaler cooling contract but must ramp factory output and restore margins as data…

Constellation: Stars Aligning?

Constellation Brands trades near $127 at roughly 11x next-twelve-month EV/EBIT, with recent business results offsetting concerns over…

October 2026 Random Ramblings

October 2026 market commentary covers SOLS’s cancelled merger, a hypothetical Starbucks-Chipotle deal, Russell 2000 weakness and AI…

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