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  1. 原创
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    Anthropic's Economic Scenario publication was a pretty interesting read: 1. Anthropic's "extreme" scenario has GDP growth reaching 15.4% in 2030 So around 7.3x current rates (~2.1% Y/Y), which is consistent with what Elon Musk is saying about outgrowing the national debt with AI. 2. Almost all of the divergence happens after 2027. Their model shows relatively little separation in 2026-2027, then the curves bend sharply into 2028-2030. So my read is that it points to 2026-2027 as buildout years and 2028-2030 as economic acceleration. Kinda gets mapped as well when you look at $AMZN / $META / $GOOGL capex, and short term FCF headwinds (but massive projected profitability post 2028) 3. In an extreme sc…展开完整原文

    Anthropic's Economic Scenario publication was a pretty interesting read: 1. Anthropic's "extreme" scenario has GDP growth reaching 15.4% in 2030 So around 7.3x current rates (~2.1% Y/Y), which is consistent with what Elon Musk is saying about outgrowing the national debt with AI. 2. Almost all of the divergence happens after 2027. Their model shows relatively little separation in 2026-2027, then the curves bend sharply into 2028-2030. So my read is that it points to 2026-2027 as buildout years and 2028-2030 as economic acceleration. Kinda gets mapped as well when you look at $AMZN / $META / $GOOGL capex, and short term FCF headwinds (but massive projected profitability post 2028) 3. In an extreme scenario, unemployment of knowledge workers goes to 17.9%. With 11.9% economy-wide unemployment "At the individual level, it means coders and call service center agents may have to switch to jobs like electrician and nurse, which are less exposed to AI." GG computer science majors. 4. Non-cognitive wages: +33.6% vs. baseline in an extreme scenario. So your electricians/construction-type labor becomes extremely valuable? (but this isn't factoring in humanoids yet...) Whereas -11.5% for knowledge workers in 2030 vs. baseline. 5. Aggregate capital income is ~81% higher than it would have been without AI Productivity explodes -> aggregate labor income barely changes -> essentially all of the incremental GDP accrues to capital. So that makes ownership of capital rather than labor... so equities like compute, power, semis, networking, robotics, etc. become pretty important... TLDR: - Economic growth go brr - Jobs that require thinking = unemployment + lower wages - Physical labor = more important, like electricians. - AI equities go brrr.

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    $AMZN signs a new deal with $QCOM, giving Amazon the right to buy a ~$4B stake of Qualcomm through warrants. At this rate.. Amazon will be more of a semi ETF than $NVDA? Given their existing equity/warrants with AlChip, $MRVL, $ALAB, $AAOI, and others. This of course is linked with up to $60B in milestone revenue from Amazon/Qualcomm custom silicon partnership. Good for both companies, moreso Qualcomm.

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    Let me get this straight chat… you have: $NVDA 70% supply constrained revenue growth projections (would be 100%+) $AVGO AI revenue growing 100%+ Y/Y for next 2 years from mid ~$50B -> $230B OpenAI Astra blowing away AGI benchmarks and starting to train itself. $MSFT / $GOOGL / $AMZN stating compute demand imbalances into next year, with Nvidia projecting $1.3T spend for 2027. You’re seeing this flow through supply chains from Samsung 70% capacity LTAs into 2031 to Powertech advanced packaging capacity 100% booked into 2030. Even your legacy players like Winbond are starting 2029-2030 allocations. Markets always have temporary drawdowns and macro scares… but… How can anyone not think AI stock go brrr?

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    Just some TLDR news I found interesting: 1. $GOOGL (missed this) also invested in Mediatek alongside $NVDA for their $3.9B raise. Google/Nvidia are goats with investments you look at $SPCX to Anthropic. 2. Samsung Electro-Mechanics discloses $778.9M MLCC deal / $CAPA (new MLCC ETF) also gives exposure now for folks without Korea/Japan/Taiwan market access. But thing is more accelerators x MLCCs per accelerator might indicate a more future extreme bottleneck than people expect. 3. China channel checks state: planetary roller screws, 6D force sensors, and dexterous hands resist domestic substitution. Then planetary roller screw as the top with lowest domestic substitution rate. eg. $SHA0.DE for planetary…展开完整原文

    Just some TLDR news I found interesting: 1. $GOOGL (missed this) also invested in Mediatek alongside $NVDA for their $3.9B raise. Google/Nvidia are goats with investments you look at $SPCX to Anthropic. 2. Samsung Electro-Mechanics discloses $778.9M MLCC deal / $CAPA (new MLCC ETF) also gives exposure now for folks without Korea/Japan/Taiwan market access. But thing is more accelerators x MLCCs per accelerator might indicate a more future extreme bottleneck than people expect. 3. China channel checks state: planetary roller screws, 6D force sensors, and dexterous hands resist domestic substitution. Then planetary roller screw as the top with lowest domestic substitution rate. eg. $SHA0.DE for planetary. Just interesting to hear moats I guess. 4. Samsung reportedly has ~70% of memory production capacity committed through 2031 / commodity DRAM has also fallen into short supply - Seoul Economic Daily. TrendForce expects server DRAM contract prices to rise 13-18% QoQ in 3Q26 SK Hynix also publicly stated the memory shortage lasts through 2030. 5. $CXMT has begun producing HBM3E in small quantities and reportedly claimed mass production of LPDDR6. Implications are even more positive for legacy DRAM shortages. 6. Cisco at SEMICON Taiwan said CPO is ready for mass deployment; pluggable modules will remain the market mainstay. $MRVL also said customers are actively planning scale-up optics deployments as early as 2027 7. Wingtech -> bought Nexperia -> Netherlands effectively removed Wingtech’s control -> Wingtech is fighting back through Chinese courts. But Nexperia got $300m of their assets frozen. More geopolitical drama of course, always entertaining. $AAPl also explicitly accused OpenAI of destroying crucial evidence... (for more fun) 8. Not much description around ASP hikes regarding SOI substrates $SOI, but they now have 10+ customers involved with LTAs, $200m revenue described as a "floor", comments about customers more concerned about obtaining wafers than where they are manufactured. So basically moving into capacity reservation now stages as silicon photonics takes off in 2027. 9. Some channel checks put lead times for high power MOSFETs and large area TVS diodes as high as ~52 weeks. ($STM also reportedly implemented its 3rd 2026 price increase on August 23) 10. Traditional packaging capacity could face a deficit exceeding 20% by 2027" with "wire bonding equipment" emerging as the primary bottleneck", covered this earlier this week with beneficiaries like 11. Claims that all six major ABF suppliers are booked for 2026, with 12-14 month lead times and some suppliers auctioning remaining capacity; $NVDA, $AMD and hyperscalers locking ABF capacity through 2028 and pushing suppliers to plan 2029–30 expansions. Names like Kinsus (3189), Unimicron (3037), Nan Ya PCB (8046), Ibiden (4062), etc are all probably happy. 12. CCL leading laminated board products increased by another 10%-20%, 7th price hike this year (eg. Kingboard). Industry estimates put the HVLP4 copper-foil shortage at ~48% in 2026 / 43% in 2027, while Low-Dk/T-Glass lead times have stretched beyond 30 weeks. 13. "(GaAs) substrate materials and gallium epitaxial source materials are also facing another round of price increases in the third quarter of 2026, reportedly 5 to 6 times higher than at the early stage of the restrictions." "China has recently eased some substrate export controls" but there's a "severe InP substrate shortage" per digitimes. Just some $AXTI related updates 14. $AMD and $AVGO reportedly booked most of Powertech's planned FOPLP capacity ahead of mid-2027 mass production 15. $INTC considering $INTC foundry for HBM4E base dies. But $SKHY responded directly that "some of the content is different from the facts". 16. "OpenAI Hoarding Tens Of Thousands Of $AAPL Mac mini and Mac Studio" for reinforcement learning. Anthropic has been renting mac mini units from $AMZN as well. Kinda sad Tim Cook retired, but dude had a goated run. Just random interesting notes

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    $AAPL is now an important AI company apparently? -> "OpenAI Hoarding Tens Of Thousands Of Apple Mac mini and Mac Studio" for reinforcement learning -> Anthropic is renting Apple Mac mini units from $AMZN to complete similar AI tasks I've never seen a company win so hard by doing nothing. But whenever I see Apple + AI, I think of my beloved $RPI. Apparently Anthropic is working with Raspberry Pi now for their new model Hardware Standard, as of the 27th. There's nothing yet about Anthropic/OpenAI buying Raspberry Pi devices for similar tasks, but maybe some OSINT researcher can do some digging.

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    $XPEV carves out its robotics unit and raises >$900M at $6.3B+ valuations. This is following’s Unitree IPO, which now has a ~$35-$36B MC. Then there’s $NVDA / $AMZN backed Agility… at a $2.5B premoney valuation. Which I’d argue is actually further ahead in commercialization than Xpeng. Regardless, humanoids + physical AI sector funding is really taking off.

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    $MRVL gives $GOOGL options to buy $12.2B of the company. "The Marvell-Google deal covers a broad range of technologies used ​with TPUs, including processors that run AI models, manage data storage ​and move information ⁠across networks." Which could translate into ~$120 billion ​in revenue through 2033. Marvell also has separate warrants with $AMZN after their Celestial acquisition (for purchases of photonic fabric). Remember the good times when Jensen said Marvell would be the next $1T+ company? Seems Nvidia knew Marvell was "networking" its way into all the hyperscalers with warrants.

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    Unitree (688836) is now public. And is valued at ~$53.3B, after rising +492.18% We finally have a major public company benchmark for humanoids. For reference, Agility (backed by $NVDA, $AMZN) via $CCXI is expected to go public at $2.5B premoney valuation Q4. $TSLA is $1T+, but Optimus is wrapped inside a much larger company. But I think Unitree showed that the demand for pure play humanoid players is much larger… than people expected in public markets.

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    Just some TLDRs of stuff I found interesting: - $SNDK 80% adjusted gross margins projections through 2030, ~75% operating margins and ~50% adjusted FCF margins from investor day. LTAs already 2/3rd of 2028 output. Minimum contracted revenue reaches $93B (MC is currently ~$239B)... Hard to be a cyclical stock when your revenue/targets are expected to continue 4Y later into 2030. - $CRWV signs contracts for 6Y old $NVDA A100 GPUs through 2029. For Neoclouds like Nebius/Iren, this is positive, since it's a counterargument for eg. Burry depreciation short thesis - conventional DRAM gross margins eg. Micron is estimated to reach an unprecedented 95% by 2027, surpassing HBM GMs per UBS read through for legac…展开完整原文

    Just some TLDRs of stuff I found interesting: - $SNDK 80% adjusted gross margins projections through 2030, ~75% operating margins and ~50% adjusted FCF margins from investor day. LTAs already 2/3rd of 2028 output. Minimum contracted revenue reaches $93B (MC is currently ~$239B)... Hard to be a cyclical stock when your revenue/targets are expected to continue 4Y later into 2030. - $CRWV signs contracts for 6Y old $NVDA A100 GPUs through 2029. For Neoclouds like Nebius/Iren, this is positive, since it's a counterargument for eg. Burry depreciation short thesis - conventional DRAM gross margins eg. Micron is estimated to reach an unprecedented 95% by 2027, surpassing HBM GMs per UBS read through for legacy/standard dram players like Nanya/Winbond should go brrrr if projections are correct. - Anthropic reportedly achieved 14x+ YoY growth and roughly 2.4x sequential revenue growth q2 to >$11.5B,. estimating growth to $190–200B in 2028r evenue numbers. Your frontier labs keep growing at stupidly fast paces, it would be worrisome if they didnt. - $NVDA reportedly in talks to invest $3B in SB Energy (Softbank subsidiary), creates a >$500B compute financing push with Apollo, BlackRock, Blackstone, Brookfield, Goldman, and others. $NVDA Feynman reportedly moves to TSMC A16 + SoIC + custom HBM + CPO in H2 2028 Just more nvidia news every day - $MSFT Maia 300 discussed $TSM capacity for >300k units in 2027, with expansion to 1m+. Unveils as soon as September. Likely $MRVL should be more happy from this news. For what's happening right now: - maybe GUC for Microsoft current ASIC ramp. - For the Amazon party, stuff like Alchip (I do own shares), likely is ramping now with $AMZN ASIC program H2 2026... So might be a good idea to look at hyperscaler ASIC ramp timelines + their beneficiaries. - $TSM VP of Advanced Packaging stated "the industry is likely to face not only memory shortages but also tight ABF substrate supply over the next few years"... Emphasis on few years for memory + ABF substrates for bottlenecks. Even upstream abf substrate equipment providers are happy, eg. Eternal Precision which uses vacuum lamination equipment stated orders surged, their plants have been running at full capacity, and 20%+ price hikes. - $AMAT expects advanced packaging revenue to grow >70% in 2026, versus prior >50%, and said customer discussions now extend all the way to 2030 (not too familiar with this company, but found their growth rate from 2025 Q4 $6.8B ->$7.01B -> 7.91B -> $9.12B -> $10.25B Q4 2026 projections pretty interesting) - Google said at OCP APAC said conventional 48V is running out of headroom. $NVDA detailed an 800VDC MGX-compatible rack H2 2026 (timeline, Delta / Lite-On beneficaries) - Aside from $SNDK, Nanya LTAs cover 50% of capacity. CXMT signed multi-year DRAM agreements last month, so entire memory industry seems to be following same playbook as ur big 3. - Probe cards remain a bottleneck, MPI(6223) said their probe card capacity remains fully utilized because demand exceeds supply. Already covered the CW laser bottleneck with $AAOI, $SIVE, and $LITE earlier this week, but that's another fun one. - some MLCC/component lead times have hit 36 weeks per Nichidenbo. Your Samsung Electro-Mechanics, Taiyo Yuden, Murata, players should be very happy to hear this. TLDR: AI supply chains go brrr.