Three launches. One coherent thesis, one very long index name, and six quietly useful bond funds.
Tuttle Capital Memory Stack Income Blast ETF (DRMP)
If you ask the Tuttle Capital product development team what memory semiconductors are, they will give you a serious answer: dynamic random access memory, NAND flash, high-bandwidth memory, 3D-stacked chiplet architectures, emerging next-generation memory technologies. This is a coherent thesis about a genuinely important part of the AI supply chain. Memory is not a side note in the AI story. It is, in many respects, the bottleneck.
If you then ask them what to call the income-distributing version of their memory semiconductor ETF, they will say: Income Blast.
DRMP targets the full ecosystem of companies involved in developing, manufacturing, packaging, testing, and commercialising memory semiconductors. AI demand for high-bandwidth memory is substantial and growing by any reasonable account. The fund distributes any net investment income weekly. Weekly. From chips.
Tuttle Capital also launched a concentrated variant of the same theme at around the same time: the Tuttle Capital Concentrated Memory Stack ETF (HBMX). Presumably for investors who find the regular Memory Stack Income Blast insufficiently concentrated, but who also, somehow, want the memory more stacked.
WisdomTree AI Infrastructure UCITS ETF (WAGI)
The full name is the WisdomTree AI Infrastructure UCITS ETF, and the index it tracks is called the WisdomTree SemiAnalysis Artificial General Intelligence Infrastructure UCITS Index. That is forty-eight words by my count, before you get to the share class.
The fund targets the companies that enable, support, and power the AI computing ecosystem, with a specific focus on what might one day serve as the foundation for artificial general intelligence. Compute intensity, data centre capacity, hyperscaler capital expenditure, enterprise and government AI spend: this is the picks-and-shovels thesis applied to the layer below the model. The index is built in partnership with SemiAnalysis, a semiconductor and AI research firm with genuine subject matter depth, meaning someone has thought carefully about which companies actually belong here.
What is notable is the specific ambition of the framing. This is not an AI ETF. It is an AGI infrastructure ETF. The distinction is subtle but revealing: the product is not just tracking today's AI buildout, it is positioning for the compute requirements of a technology that does not yet exist. Whether that makes it visionary or premature is a question the market will answer in its own time. Either way, it is a long index name for a very long bet.
Invesco BulletShares Treasury Ladder (BSGR, BSTS, BSGT, BSTU, BSTV, and friends)
And then there is Invesco, which launched six Treasury target-maturity bond ETFs in a single batch, covering annual maturities from 2027 through 2031 and adding a 2034 high-yield corporate variant for good measure. The BulletShares suite, which previously focused on investment-grade and high-yield corporate bonds across multiple maturity years, has now extended its logic into the Treasury space.
These products work in the way that well-designed tools work: predictably. Each fund holds bonds maturing in a specific year, distributes income along the way, and then dissolves and returns capital at maturity. Financial advisors have been building laddered fixed-income portfolios from BulletShares products for years. Six new rungs, neatly spaced. Nothing about this is surprising. Everything about it is useful.
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