New Ask Claude or ChatGPT about any stock, using Bullpen. Bullpen in Claude or ChatGPT. 7 days free
Bullpen.News From Edwin Dorsey
Get Daily Recap Feedback

Wednesday, November 11, 2026

Back to the front page

ON THE TAPE with Guy Adami

Guy Adami discusses Nvidia, Anthropic's IPO prospects, energy, gold and the AI trade.

NVDA $4.2T
WHAT ARE WE DOING? “Contrarians At The Gate” 3 clicks

From X

@convequity 1 click

Convequity on X

Circular AI financing keeps getting bigger. A record $63 billion vehicle, partly supported by Broadcom ($AVGO), will buy Broadcom chips for Anthropic, and it only pays off if enterprises adopt AI beyond coding. The vehicle borrows, buys Broadcom XPU accelerators (custom AI chips) and networking gear, and leases them to Anthropic. Deliveries are expected from 2027. Broadcom guarantees a residual value of $40B+. This is the latest example of the banks, hyperscalers, model labs and chipmakers are frontrunning AI demand they expect to be insatiable. Without faster enterprise adoption, that demand may not arrive, and the financing stays circular. AI has to spread from coding into the rest of the enterprise. Coding can be checked, because code has to compile and pass tests. Other domains need the same verifiability, which means codifying context that lives in employees' heads, or at best across email, Slack, WhatsApp and work-management platforms. Vendors that can codify that context should extract immense value. Palantir ($PLTR) is the closest so far. Palantir's ontology, a structured account of an enterprise's objects, relationships and rules that software can use to check a result, is critical because it is instrumental to verifiability. We think it can make an average Nemotron model state of the art for that enterprise's own work. If the result is good enough, enterprises will use it and achieve sovereign AI. Once that context is codified, enterprises will not want to blindly run closed frontier models on it and give their know-how away. Broader adoption depends on data sovereignty. The shift has been visible since Palantir's Alex Karp warned earlier this year that handing closed frontier labs their data, models and institutional know-how means losing control of the value. The path is intelligence sovereignty plus more verifiability, then greater enterprise adoption, which would justify this frontrunning. It would also benefit Nvidia ($NVDA), which needs enterprise adoption because hyperscalers and model labs are leaning toward custom chips.
@ACapitalLP 1 click

A Capital on X

Interesting setup in $VOYA ahead of Q3 earnings and TCIM’s November 24 no-confidence referendum. Can certainly see a path to $150+ in a strategic takeout given the quality of the retirement franchise… My hesitation is how much activist premium is already embedded in the stock. Shares are up ~30% since TCIM surfaced in April, and the referendum is non-binding. If Q3 disappoints and the activist fails to gain traction, hard to see why this couldn’t trade back toward the pre-activist ~$75 level. Love the potential upside, less convinced by the asymmetry at ~$97… Thoughts welcome.
@SouthernValue95 1 click

SouthernValue on X

Ramp data shows VC-backed companies are spending 10x more per employee/month on AI vs. PE-owned and other companies. A bearish interpretation could be: token spend is being driven by VC-backed companies, making demand vulnerable to swings in capital cycle. Valid! However, on a longer timeframe, I think this is quite interesting as a leading indicator for the direction of software companies (VC-backed companies are mostly software or service-as-software companies). New companies are being built with a larger ratio of tokens vs. humans. Look at Anthropic itself, which pays 1/6 as much on intelligence as its customers (since it sells tokens marked up at 85% GM): Anthropic is spending ~9x more on compute than human salaries despite having access to tokens at cost. Cash payroll is annualizing ~$2B for a company with ~$60B of run-rate revenue in 1H26. Anthropic employs just 5k people. Wild efficiency in human capital. I suspect that the great software companies of the next decade, both new and incumbent, will insert AI into every aspect of their products so that using them feels like magic, and work happens seamlessly. Building a presentation in Claude feels like magic: I tell it what I want to put on a slide, and it appears like magic. As a user of Ramp, their products feel the same way: I make a purchase, take a picture of a receipt, and the expense is logged into my accounting system appropriately without the need for a human to type into a blank box. I think we will see most software become AI-native or be replaced by software that is. This is a significant opportunity for incumbents and startups alike. And I think this is a huge source of future token spend that will go to $AMZN and $GOOG where most software companies are built (on AWS and GCP) and where AMZN and GOOG are building the platforms for software companies to build AI capabilities into their products with choice around compute and model, embedded safety and governance, and unlimited scale. Amazon CEO @ajassy said on a podcast this week that AI spend is currently a "barbell-shape" with insatiable compute appetite of the AI labs on one side, and corporates using AI for cost savings on the other. In the middle is tokens embedded into "core workloads" which he says is growing but small today, but he thinks in 5 years might be the biggest category of token spend.

Investor Letters

All letters

DoorDash’s FBA Moment

DoorDash’s $17 billion Instacart deal targets DashMart warehouse scale, where 99%+ order accuracy and faster delivery address the limits of…

DASH $79BKR $41B
MBI Deep Dives 1 click

Cat-Scratch Fervo

Fervo Energy raised $2 billion in its May IPO, then fell nearly 70% below issue price after a Morpheus short report, despite targeting 1 GW…

FRVO $2.3B
Doomberg 4 clicks
OSW · short

One Spa World

OneSpaWorld (OSW) faces about 37% downside as its valuation requires unattainable growth in average revenue per customer after major-market…

OSW $3.1B
Value Investors Club

Sea Ltd Earnings Update: Q3 2026

Sea Ltd reported Q3 2026 revenue of $8.6 billion, up 43.4% year over year, while net income rose 34.0%.

SE $48B
SixSigmaCapital: Navigating the Financial Markets 4 clicks

Airbnb 3Q26: Business Update

Airbnb’s 3Q26 revenue rose 19% to $4.9 billion as nights and seats grew 16%, with app bookings up 29% and Reserve Now Pay Later adding…

ABNB $111B
Speedwell Memos 2 clicks

Publications we follow

Every publication on this site, hand-picked.

130 publications

Newsletters 110

YouTube 4

Blogs 15

Seeking Alpha 83 of 283

Nominate a publication

X accounts we follow

Every account on this site, hand-picked.

91 accounts
Nominate an account

Investor letters we follow

375 firms

Sectors

Ordered by how often our editor reaches for them.