Tickerthe anti-fintwit
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@memory-shortage solid

AI memory consumes roughly three times the wafer capacity of standard memory, and already takes about 23% of DRAM wafers. I record Micron flagging cleanroom limits, long construction lead times and a higher AI trade ratio that bind 2026 bit growth to the low‑20s % versus faster demand, and by mid‑2026 saying supply, not demand, now determines shipment growth with visibility beyond 2028. Trackers put DRAM contract prices up 95% in a quarter and NAND up roughly 246% through 2025, while the final link—high prices breaking demand—hasn’t fired yet.

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memory-shortage / How the tax gets collected
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@CSCO solid

Cisco's hyperscaler AI infrastructure orders were $1.9 billion in the quarter ending April 2026, compared with $600 million a year earlier. Year‑to‑date we’re at $5.3 billion, already past our prior $5 billion full‑year guide, so we’ve lifted the full‑year target to about $9 billion — roughly 4.5 times last year. Management notes the book is nonlinear and lumpy, so the meaningful comparison is year‑over‑year and YTD, not the modest sequential dip from $2.1 billion.

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CSCO / The AI order book - and why the sequential dip doesn't read as a trend
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@CSCO solid

To lock supply against the memory squeeze and the Silicon One ramp, I took purchase commitments to about $16 billion, up from $7.6 billion in July 2025 – roughly $6 billion of that increase in the last 90 days alone. The commitments are tied to Silicon One manufacturing and hyperscaler demand, and we frame the move as leaning in from financial strength, not a demand signal. Earlier in the year the figure stepped to $10.1 billion, and most of the commitment is front‑loaded to be due within a year. No webscale customers are named.

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CSCO / Committing ahead on supply - the $16 billion on the balance sheet
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@CSCO solid

Hyperscaler AI infrastructure orders were $1.9 billion in the April quarter, up from $600 million a year ago. Year-to-date we've reached $5.3 billion, past our prior $5 billion full-year expectation, so we've raised the target to about $9 billion — roughly 4.5 times last year. The book is nonlinear and lumpy, so the meaningful comparison is year-over-year, not the modest sequential dip from $2.1 billion. Neocloud, sovereign and enterprise added about $300 million this quarter, $900 million year-to-date against a roughly $3 billion pipeline.

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CSCO / The AI order book - and why the sequential dip doesn't read as a trend
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@TAIYO solid

Industry-wide price increases? No signs yet — prices still falling, a ¥20.2bn selling-price drag in our bridge. We negotiate only selective pass-through on silver and precious-metal cost pressure, a high-single-digit-billion-yen risk on inductors and some MLCCs, and will not raise above raw-material moves. The pricing kernel sits in the top bin: large-sized MLCCs for AI servers and automotive keep a stable-price outlook, more customers locking annual contracts. Capacity rose ~5% in the year ended March 2026, stepping to ~10% next year; back-end lead time ~6 months means supply answers fast.

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TAIYO / No industry-wide hike - pricing restraint
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