The Next Consumer is a Computer
Meta’s Muse illustrates how persistent AI agents shift compute from per-query to per-user, driving heavier GPU, CPU and memory demand.
Meta’s Muse illustrates how persistent AI agents shift compute from per-query to per-user, driving heavier GPU, CPU and memory demand.
Deutsche Bank $DB freed from consent order in 2010s FX scandal https://t.co/BsHGBheaWK
$DECK back at multi year low valuations but concern is the classic value trap risk that margins and ROC are at cyclical peaks. Growth has really fallen off too from 15-18% in 2023-2025 to just 7% in 2026. https://t.co/jvT5HnDjnH
@GHadjia @MattJMcClintock Growth has been coming off fast at $DECK no? https://t.co/NvAKB2OyqN
It’s happening… Seller’s remorse is starting to set in for trigger-happy $KLNG shareholders. I have a feeling the same will happen to $SIF panic sellers who blindly accepted “horrendous” GAAP EPS as true earnings power. Lesson 👉 Read the transcripts & do your own math. https://t.co/0u7pxLVft4
@ShmuelLon I actually don't think $PFF is the best expression of this trade, I'm just using it here cause it's got a long track record. But I've been going through the securities in stuff like $PGC and $PGF and I think as a basket they're very attractive.
Heres a portfolio that's 80% $SPY, $70% $TLT, -70% $PFF, 20% $GLD. Similar return with way lower volatility. Obviously this is just backwards looking, but there are structural reasons why this kind of mix works (Preferred stocks suck, most of the alpha is there). https://t.co/pfsyWJG2f2
My largest short is $PFFD a preferred ETF, but I'm switching the exposure to $PGF. Even though it's 2% borrow vs 1% for PFFD, PFFD has 25% exposure to mandatory convertibles that essentially act as equity. Meanwhile PGF is full of low yield, perpetual, callable preferreds, which
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