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Tuesday, November 10, 2026

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@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.
@StableBread

Fajasy on X

35% of TOYO Co., Ltd’s $TOYO H1 2026 revenue came from one customer it doesn’t name, and 22% came from companies under its own controlling shareholder. $TOYO manufactures solar cells, the processed silicon wafers that turn sunlight into electricity, and assembles some of them into panels (modules). Its cells use TOPCon (tunnel oxide passivated contact), a common high-efficiency silicon cell design. $TOYO runs three factories: 1) Ethiopia (4 GW of cells): Started production in April 2025, six months after $TOYO announced the plant, added a second 2 GW line in August, and reached its 4 GW nameplate in October 2025. 2) Vietnam (2 GW of cells): Running since H2 2023, but its cells now go to non-U.S. markets like India and Taiwan, since the U.S. Commerce Department set anti-dumping and countervailing duties (taxes on imports sold below cost or subsidized) on Vietnamese cells in April 2025. 3) Texas (2 GW of modules): A leased 567,140-square-foot plant near Houston that started its first 1 GW line in October 2025 and had completed its second by early October 2026. It assembles panels from $TOYO’s Ethiopian cells. VSUN (Vietnam Sunergy JSC) is the Vietnamese panel maker $TOYO was carved out of, and both companies sit under the same majority shareholder, Abalance, a Japanese solar group. VSUN is still $TOYO’s lender, owed $51.4M including interest, and a past wafer supplier through its Chinese subsidiary. $TOYO’s $261.0M of H1 2026 revenue came from four lines: → Third-party cells (56.5%): $147.6M of cells sold to outside module makers. → Related-party sales (22.0%): $57.5M of cells and modules sold to VSUN and its affiliates. → OEM services (14.2%): $37.2M of fees for cells made under one customer’s name, which $TOYO books net, counting only its fee as revenue. → Third-party modules (7.2%): $18.7M of Texas-made panels. Upstream, 70% of the polysilicon (the refined silicon that wafers are cut from) in $TOYO’s Ethiopian cells comes from a U.S. producer and the rest from OCI’s plant in Malaysia, Rhone Resch, $TOYO’s Chief Strategy Officer, said on the Q2 call. Resch also said its 2026 wafers come from non-China production, “including a designated facility in Indonesia.” $TOYO markets its supply chain as “non-FEOC,” free of any foreign entity of concern. U.S. buyers care, since the One Big Beautiful Bill Act (OBBBA) denies the main clean-power tax credit to projects with too much equipment from Prohibited Foreign Entities, a label aimed at Chinese suppliers.
@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

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

Research update

S&P Global research will assess Platts, Kensho and ratings growth; Benefit Systems’ 72% YTD rally changed its valuation, while Netflix and…

SPGI $136BICE $96B
Global Outperformers 3 clicks

The AutoNation Story

AutoNation shed rentals and megastores, focused on dealerships, and retired 91.1% of its shares through buybacks after its 1990s roll-up…

AN $6.1B
Cannibal Stocks 2 clicks

The 10-Q Fills In the Buyback

Empire State Realty Trust bought $86.1 million of stock through November 6, while corrected sum-of-the-parts values range from $9.12 to…

ESRT $1.3B
Orphan REITs 2 clicks

No title

SpaceX’s $24 billion Starbase power plant, Microsoft’s Oracle capacity cuts, Riot’s $72 billion AI lease and Quanta’s sell-off frame…

PWR $77BRIOT $5.8B
Monte Independent Investment Research 3 clicks

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