GraniteShares files for eight AI ETFs that may own private companies
Each Nov. 9 draft would put at least 80% of the fund in one public artificial-intelligence business, and could add private stakes that do not count toward that test.

Key takeaways
GraniteShares ETF Trust filed on Nov. 9 for eight exchange-traded funds that would own narrow public slices of the artificial-intelligence buildout. Each draft would also allow a private-company stake, and that stake would not count toward the 80% of net assets set aside for public stocks. GraniteShares Advisors LLC is the adviser.
A fund could take a passive minority stake in a special purpose vehicle, an outside entity that holds the private shares. The drafts say the fund would not create or control that entity. It could also enter a contract the drafts call a Pre-IPO Perpetual Futures Swap: a private agreement meant to pay the economic return of a futures contract that never expires, tied to the implied market value of those shares.
An eligible private company would be one that would pass the fund's public test if its shares traded, or one the adviser believes is a significant customer of those companies or a significant supplier of AI technology to them. The drafts give developers of large-scale AI models as the example.
The drafts say those swaps are expected to be illiquid, and that they would count toward a limit of 15% of net assets in illiquid investments. An illiquid investment, as the drafts define it, cannot be sold in the ordinary course within seven days near the value the fund has put on it. Stakes in the outside vehicles are also expected to be classified as illiquid, so they would fall under the same limit.
The drafts say the fund does not intend to buy a vehicle that charges an ongoing management fee or a share of profits. The size of each swap would not exceed the assets set aside for it, and the swaps would not be used to magnify the position.
The drafts say the fund would generally try to sell the vehicle interest before the private company went public, because that interest is expected to trade at a significant discount while the new shares are locked up.
What the 80% would own
Under normal circumstances, at least 80% of net assets would go into the stocks of companies that pass the fund's test, or into swaps that pay the return of those stocks. At each rebalance, no one company would be more than 20% of the portfolio.
A figure printed inside square brackets is not final. The 20% cap is not in brackets.
The cooling draft draws a line a listed fund does not. VegaShares AI Thermal, Cooling & Power Management ETF, COOL, says it invests in global companies that generate significant revenue from the cooling, power delivery, and thermal management systems that high-density AI data centers need. Power delivery is what the GraniteShares cooling draft leaves out.
The China draft would bar any company on the Treasury Department's list of Chinese military-industrial complex companies. Wording that would also bar the Defense Department's list of Chinese military companies, and the Commerce Department's Entity List, is still in brackets.
The same draft warns that a company qualifying through its own large-scale AI model may get only a small share of its revenue from AI, and that its results may be driven by its other businesses.
The ticker, the management fee, and the minimum market value a listed company would need to be bought are still blank. The distribution fee is filled in at 0.00%.
Each filing asks to become effective 75 days after Nov. 9. The shares cannot be sold until the registration statement is effective, and the drafts say the funds have not started.
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