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Wednesday, September 30, 2026

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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 $1.8TNVDA $5.5T
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Batch size sets the trade-off between speed and cost in AI inference. An AI server answers many users at once by bundling their requests into one batch. Our $CBRS note compares this to running a bus. There are two ways to run it, and each gives something up. 1. Fill the bus. Put as many passengers as possible on every run. More stops slow each passenger's trip, but the cost of the run is spread across more people, so the cost per passenger falls. Larger batches do the same: each user's answer is slower, and the cost per token falls because the system produces more tokens from the same hardware. 2. Carry fewer passengers and stop less. Each trip is faster, but fewer seats mean the cost of the run is spread less well, so the cost per passenger rises. Smaller batches are fast for one user and raise the cost per token. So in the analogy, speed for each user is how fast each passenger arrives. Cost per token is cost per passenger. A system set up for one gives up some of the other. When someone compares two inference systems, check the batch size behind each number. A speed figure or a cost-per-token figure quoted without it cannot be compared fairly.

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Microsoft: The Xbox Segment Revamp

Microsoft plans to rebuild Xbox after FY2026 through studio cuts, higher hardware prices, Game Pass growth, exclusive releases and the 2028…

MSFT $3.8T
Khaveen Investments 2 clicks

Research Roundup Vol. LIV

Research Roundup covers AAON's data-center cooling ramp, Knife River's margin recovery, ChronoScale's Microsoft-backed neocloud buildout…

AAON $6.8BKNF $2.9B
Monte Independent Investment Research

Toll roads in the sky

Asia's elevator boom favors maintenance and modernization providers, with Otis deriving nearly 90% of operating profit from after-sales…

OTIS $24B
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