Bullpen.News From Edwin Dorsey
Get Daily Recap Feedback

Friday, October 30, 2026

Back to today

From X

@convequity

Convequity on X

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.

Investor Letters

All letters

The Data Center Bridge

Small- and mid-cap data center stocks trade as one despite sharply different funding bridges: 12 of 15 cover fixed costs on signed…

FRMI $1.9B
CV's Substack 16 clicks
BW · short

Babcock & Wilcox

Babcock & Wilcox is priced for AI power demand despite a one-time related-party project, with FY2028 EBITDA 35% below consensus implying…

BW $690M
Value Investors Club 2 clicks

Alarm.com: False Alarm?

Alarm.com, founded after CEO Steve Trundle’s bad home-security experience, has fallen from $105 in 2020 to about $55, testing whether…

ALRM $3.2B
TSOH Investment Research 1 click

A letter to founding members

Cannibal Stocks favors cash-generative companies that retire shares at low valuations, citing Dillard’s 80% share reduction and…

RIG $7.4B
Cannibal Stocks

Unpolished Thoughts on Stocks #1

Genius Sports aims to turn official sports data into AI-driven, real-time advertising, with media and ads already about 40% of revenue.

GENI $1.8B
Sylence Capital 2 clicks

Publications we follow

Every publication on this site, hand-picked.

129 publications

Newsletters 109

YouTube 4

Blogs 15

Seeking Alpha 67 of 268

Nominate a publication

X accounts we follow

Every account on this site, hand-picked.

91 accounts
Nominate an account

Investor letters we follow

190 firms

Sectors

Ordered by how often our editor reaches for them.