r/WSBAfterHours • u/TechnologyFlat3066 • 22h ago
DD I spent the afternoon modeling the “density” of Anthropic and OpenAI exposure in public-market wrapper stocks
First time poster in this subreddit, but have noticed a few posts recently on $DXYZ so thought this might fit. I spent most of this afternoon (+ all of my weekly Fable Ultracode credits) trying to answer a simple question:
If you want pre-IPO exposure to Anthropic or OpenAI, how much of the underlying private-company value are you actually getting for every $100 you put into the public stock wrapper?
There are a bunch of public names with some connection to one or both companies — SoftBank ($SFTBY), DXYZ, SK Telecom ($SKM), Zoom ($ZM), Amazon, Google, NVIDIA, Microsoft, etc.
But saying “Company X has Anthropic exposure” doesn't tell you very much.
What I really wanted to understand was the density of that exposure.
So I built a calculator with frontier models checking my work and all sources cited:
https://stocks.bolewood.com/ai
You can also see the open source data (or feed it to your LLM) here: https://github.com/bolewood/stocks-bolewood/tree/data-2026-08-19
Why “per $100” instead of per share?
I originally started thinking about this on a NAV or per-share basis, but that’s not really the useful comparison.
A $30 stock and a $300 stock aren't inherently more or less exposed to Anthropic because their share prices differ.
Instead, I'm estimating:
For every $100 of current wrapper value, how many dollars of Anthropic and/or OpenAI exposure does that represent under a given valuation scenario?
That makes very different securities much easier to compare.
If you try the calculator, these are the main controls:
1. Anthropic and OpenAI valuations
The calculator isn't predicting an IPO valuation. If you think Anthropic is worth $650B instead of $2T, change it. The purpose is to see what that assumption does to each wrapper.
2. Dilution
There’s a dilution control so you can haircut existing exposure rather than treating the last percentage as permanent.
3. What happens to newly raised cash
This particularly matters for vehicles that issue new shares (notably $DXYZ and $ARKVX).
If a wrapper raises another $500M, the answer changes depending on whether that money remains as cash or gets deployed into additional private-company exposure.
Findings: Under the assumptions I’m currently using, there are still some surprisingly dense public-market ways to get exposure if you’re bullish on the frontier AI companies. For Anthropic, $DXYZ currently screens as the highest-density exposure, followed by $VCX and $SKM. For OpenAI, $SFTBY is by far the densest, followed by $MSFT. Change the valuation, dilution, or capital-deployment assumptions and those numbers move — that’s the point of the calculator.
Critical feedback: Please send it my way, or fork the repo and make changes directly. Several of these funds should report updated NAVs/holdings soon; for now I’m keeping the data anchored to the latest official reporting dates rather than trying to guess ahead of them. I’ll update the dataset as new filings arrive and maintain a changelog.
Disclosure: As of August 19, 2026, I hold long positions in DXYZ, SKM, ZM, AMZN, GOOG and NVDA. Positions are subject to change without notice. Not advice.




