$META Congrats to all $META shareholders, including my community. https://t.co/rgYeu4Fedp

Sure... Random train of thoughts on markets now, optics like $LITE / memory + $IREN / Anthropic. On Memory: - Demand visibility on $MU / Samsung / SK Hynix extend into 2030-2031. Samsung has LTAs covering 70% of their capacity into 2031 (likely with SK Hynix type price floors)... and their operating profit is already absurd. There's a consensus that shortage in 2027 will be much more severe than 2026... Even $SNDK expends gross margins to exceed 80% entering 2030. You're going to hear Acer and other CEOs that want memory prices to go down cite bear cases like CXMT/YMTC, and Chinese players. But just looking at supply procurement that $NVDA is doing + hyperscalers, demand visibility is absurd for the next 5 years. And by that time, cumulative FCF coming in from these take/pay + pricing floor contracts might exceed some of their entire marketcaps so it feels like there's some baseline. Near-term is always volatile (IV dropped a ton across $EWY to $DRAM to $MU), so people with call options likely got nuked, along with underlying prices. But if Samsung is 3x 2027E, has 5 year LTAs with 70% of capacity committed from hyperscalers, and price floors, it's kinda hard to see these names suffer a sustained crash... For optics: - $LITE is literally sold out into 2029, starting discussions into 2030. With demand visibility lasting into 2031… with hyperscalers largely funding the capacity buildout. Their 2028 Greensboro fab expansion was ~$5B in UHP laser capacity revenue alone, yet it’s basically allocated toward $NVDA (50%+ with options for more) and co from channel checks. Existing supply chain bottlenecks are extremely severe as optical content/XPU skyrockets entering 2027-2028. So everything from DSPs/TIAs, photodiodes, lasers, InP/SOI substrates, wafers (epi, SOI, etc) are expected to go brrr. And what does that imply to anyone else with enormous amounts of capacity coming online like $AAOI + $SIVE + $MTSI capacity expansion in 2027? Or other players like Sumitomo / Furukawa? But again it's not quite the same situation as memory since the BOM % is extremely low in a cluster... If micron/samsung raised another 2000% hyperscalers would go bankrupt. But doing that for InP substrates seems possible. Or a 100% increase on CW laser content. I actually thought $LITE was overvalued at $100B+ MC, relative to capacity expansion on your smaller optical players to their respective MCs. So I chose to position accordingly (But lumentum does deserve premiums for demand visibility). For the companies leading the charge like $NVDA / $AVGO / $MRVL: - Nvidia has 70% forward revenue growth FY2028 which is supply constrained growth. - Broadcom 100% Y/Y for 2027/2028 which is also supply constrained growth. - Marvell FY2031 upgraded guidance to $70B-$90B from $46B analyst projections... They all seem to be very happy.... and read through on demand for next 2-3 years is enormous (also echoing what $INTC CEO said today on the panel with $AVGO CEO). So you have overwhelming growth on memory + photonics + from the leaders... But the nuance is not everything in the AI supply chain get the same economic benefit. HBM/Laser/CPU/MLCC and other players in the bottlenecks look to be printing money. And seem to be the largest beneficiaries of the current bottlenecks. Test players are also getting price hikes + capacity allocated by players like $NVDA, but economic impact seems a tad lower than other players since forward P/E for many I modeled were still in the 45x+ range even if you hiked prices like 10-30%. As for capex intensive players... there's some like $IREN ($25-30B for 2027) that despite a deal with Anthropic ended up dropping. I don't think markets seem to appreciate players spending a lot of money + ongoing financing (think they're like halfway through their $6B ATM). Just some hopium for $IREN investors, $NBIS also signed a deal with $META at the start of the year (but markets didn't care at all, since Nebius dropped to ~$70-80 at the lowest point?). But did 6 months later, as the time to revenue inflection gets closer and you're past the ATM/capex window, markets would likely care more. I don't think it's irrational but at the same time, the fundamentals have improved from Mirantis acquisition to others. I also think it was known for awhile it was either OpenAI/Anthropic from CEO comments earlier too? But either way to be a more risk-off environment where funds seem to be rotating to larger names as a flight to safety. $CRWD / $PLTR as just two example, but my take is that the valuations of these rotations are reaching clown levels. And that certain AI supply chain beneficiaries in comparison are undervalued now. I was thinking markets would just rotate to names that are extremely profitable like Samsung or names that have <2X P/E, so it was surprising to see $KOSPI and some legacy memory players get sold off today. Since all of this is colliding with uncertainty about sht macro environments and renewed sustainability concern of AI capex/commitments from frontier labs like OpenAI/Anthropic from due to that FT piece recently. I've always been sounding the alarm about the contractual backlog OpenAI has with $CBRS, $MSFT, $ORCL and others earlier in the year. But OpenAI did just raise $122B or so , so I don't quite think they're at risk of going down anytime soon. I also don't think overall capex can just exponentially go up, but even if it stalls / hovers around a certain point or even drops... Capex toward certain areas like optics will still explode as hyperscalers fight over allocations when CPO scale up comes about, but might drop in others where more capacity comes online like test or DRAM. So it's a lot more nuanced than capex down = everything down or vice versa. I also slightly agree with community agreements that open weight models wouldn't lessen demand on AI infrastructure (otherwise $NVDA wouldn't be funneling funds into Reflection), but all the contractual obligations that Anthropic has might get messy if their models/company get cannibalized. Either way, I'd expect some of these frontier lab valuations to likely compress but I do think Jensen knows what he's doing though to avoid contagion. But basically: - Extremely difficult market now, can't just throw money at any AI supply chain company like $GLW and expect it to go up. There's cause for concern of rate hikes mixed with financing per $AVGO CEO but not to the point you just blindly sell off everything. Also I think markets are stupid and ties baskets together so that leads to mispricing + individual buying opportunities with certain chokepoints too. If capacity + demand is visible and forward p/e compresses like $AAOI to single digits off hundreds or thousands of percent growth from hyperscalers off $471m transceiver revenues and hundreds of thousands of monthly ELSFP capacity. Or $SIVE coming online with 100M+ laser capacity + multiple foundries with ASP hikes on lasers. I wouldn't lump them into other AI supply chain names in IP like $RMBS or others. My take is that AI supply chain beneficiaries with closer inflection points, demand visibility, and forward P/E compressing due to economic leverage would likely outperform medium term despite current volatility. TLDR: - Memory strongest risk/adjusted return with LTAs + pricing floors extending to 2030's + buybacks. - My opinion is that optical supercycle for 2027-2028 with CPO/NPO is going to look absurd relative to capacity coming online of smaller suppliers. - Overwhelming fundamentals/growth colliding with sht macro + media scares - Markets are stupid and groups things in baskets and sells them all off together or buys overvalued names, creating short/long opportunities I'd give a prayer to people on short term options given underlying drop + IV decline, but there could be a reversal... who knows. Most valuable thing right now is time.

$META (September 25, 2026-Daily Chart) The bullish signal was already highlighted in the previous post, and the buy was shared in Weekly Insights / real-time notifications beforehand, with my accumulation zone between $630–$660. https://t.co/Wdrw6NM5Mz As anticipated, the uptrend is now accelerating. Price has now cleared the last volatility hole at $700 and the previous momentum bars. The $1,000 target isn't ambitious at all.

$NET $FSLY $META all green on a red day

RT @cantonmeow: 2 weeks ago, @dannycheng2022 and I became bullish on $META (+12% today). Here is a clip of what we shared with his Patreon community. We went through bullish Red Candle, RSI trendline breakout, volume, order block, Fibonacci levels, and Weinstein stages. https://t.co/eJ2hBiJnzG

All right $META Muse is cooking. I can hear all the $AMD, $INTC, and $ARM CPUs vrrrring in the background. Along with the memory + components (NICs, SSDs, DRAM) needed for all the browsers/VMs When I ask it to do a bunch of long form tasks… Intel CEO also said recently that CPU demand is so strong they can only support 50% of what customers need, so there’s some signals there. I’m also curious how much $AMZN or $NBIS is involved with running Muse, or if Meta hosts everything inhouse. Kinda an ADHD post but Meta beat my expectations with this release. Will keep trying it out

2 weeks ago, @dannycheng2022 and I became bullish on $META (+12% today). Here is a clip of what we shared with his Patreon community. We went through bullish Red Candle, RSI trendline breakout, volume, order block, Fibonacci levels, and Weinstein stages. https://t.co/eJ2hBiJnzG

I’ve been running a barbell approach: cautious and aggressive at the same time. On the cautious side, I still want some relatively stable names with more manageable swings — $NVDA as one of my top two positions, plus $TSM, $GOOGL, $META, and $AMZN. Those give the portfolio ballast and long-term compounding. On the aggressive side, my biggest bets are $PLTR and $AMD, along with a few other high-volatility names I share with the community. That’s where I’m looking for asymmetric upside, knowing the swings can be much sharper. The goal isn’t to pick one style. It’s to keep enough stability that I can stay invested, while still putting real size into the names that can move the needle.

$META (September 16, 2026-Daily Chart) The momentum remains intact. https://t.co/M1V3cdsK54

Yep, I'm personally high conviction on the AI trade (especially photonics/memory) despite macro. - $NVDA gave forecasts for $1.3T hyperscaler capex ($100B+ above BofA analyst expectations) - $SPCX Wells Fargo forecasts are ~$263B for 2027. - $127B spend in 2027 for Anthropic/OpenAI model training + inference from internal investor documents (WSJ). - Even the Pentagon (US gov) is looking to fund the AI buildout, with $5B potentially into Fluidstack. What sectors do I think capex flows hit the hardest? Photonics + Memory. Trendforce for example est. DRAM and NAND to be 68% of hyperscaler capex in 2027. So when all that memory procurement spend hits the balance sheets of $MU, $SNDK, Samsung, $SKHY with 70-80%+ margins. I don't think these companies care about short term macro scares. And when your leading memory companies are all allocating capacity for DDR5/HBM or high end memory, with little visibility on legacy memory supply coming online. What does that say about the durability of ESMT/Etron/Winbond and others? And when your optical content/GPU goes up for rubin ultra + $META / $GOOGL TPU v9, etc. Alongside TAM eg. $131.4 billion (+81% revision) for 2027 optical module forecasts. Who benefits from supplying all that lasers during a shortage other than $LITE / $SIVE / $AAOI / $COHR? I think the overwhelming fundamentals + growth of some of the AI sector companies will outperform macro.

$META (September 10, 2026-Daily Chart) The W-shaped bottom is playing out perfectly, in line with steady whale accumulation, currently at 80.145%. https://t.co/YIA3nymOOj

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.

$META (September 4, 2026-Daily Chart) $META held support in the $540 range and rebuilt momentum from that base, shown by the whale accumulation pattern in panel 3, currently at 38.13%. At the same time $META cleared the longest momentum bars at $584 and $593 in panel 1, both of which have now flipped into support. Next resistance sits at $655 and $686.

$META (August 25, 2026-Daily Chart) $META has found temporary support in the $540 zone and is showing early signs of recovery. A consistent close above $570 would confirm the completion of the bottoming process and reopen the path for the uptrend to resume. Key resistance levels to watch are the momentum bars at $599, $612, and $669.

RT @dannycheng2022: 8 Persistent Myths That Keep Retail Investors Poor (While the Smart Money Gets Richer) After 15+ years in the markets and watching thousands of retail accounts, most retail traders lose money not because they’re stupid, but because they believe myths that are the exact opposite of how real wealth is built. Here are the 8 biggest ones — and the truths that actually make people rich. Myth 1: “I just need to find the next 100× small-cap rocket” Reality: True market-beating wealth is almost always made by owning the undisputed leaders of each cycle, not by gambling on unknown micro-caps hoping for an overnight moonshot. In every bull market, a handful of industry leaders capture 80-90% of the gains. The rest fight for scraps. $NVDA, $TSLA, $AAPL, $MSFT, $GOOGL, $META, , —these names dominate their sectors and ride the narrative waves for years. Small stocks might give you a quick 5×, but they also give you permanent loss of capital 9 times out of 10. Stick to the kings and queens. Let the leaders do the heavy lifting. Myth 2: “When the market drops 10-50%, I must sell or stop buying” Reality: The biggest opportunities are handed to you on a silver platter during drawdowns. Whales accumulate aggressively when retail panics.Remember these dates? April -May 2024 July–August 2024 April 2025 November 2025 Retail was selling in panic, succumbing to market noises telling us the start of Great Depression and the end of the bull market this cycle. Smart money was buying hand over fist. In fact, true wealth is created in bear markets and drawdowns, not in euphoria. The bull market just reveals the wealth that was quietly built when nobody wanted to buy. Myth 3: “Diversification is king " Reality: You only need to focus on 5-10 world-class leaders in the 3-4 sectors driving the current cycle. Concentrated bets on the right narrative crush shotgun diversification. The people who went “all in” (responsibly concentrated, not all-or-nothing) on the right themes made life-changing money. The people with too many positions made market returns or less. Concentrated bets on the right narrative > shotgun diversification. Myth 4: “The more I trade, the richer I’ll get” Reality: The wealthiest investors I know barely trade at all—and the greatest example of all is Warren Buffett. He’s worth $140B+ holding Coca-Cola, AmEx, and Apple for decades while barely trading. The wealthiest investors on earth treat the market like owning pieces of great businesses, not like a video game. They buy exceptional companies, add on weakness, and let time and compounding do the work. Frequent trading is just a hidden tax on your future wealth. Myth 5: “Options are the fast lane to millions" Reality: In 15 years I have never seen a single client build tens or hundreds of millions consistently with options. Zero. I have seen many who started with $1-3M, ignored options, and turned it into $20-100M+ by simply owning great stocks for a decade. Slow beats exciting every time. Myth 6: “If it’s trending on X or in the headlines, I have to buy now" Reality: By the time something is screaming across headlines and social media, the easy money has already been made. Headlines are lagging indicators. Noise on X is intentionally juicy because it drives clicks, volume, and liquidity for institutions to distribute or accumulate quietly. If everyone is talking about it, you’re the exit liquidity. Myth 7: “I need to follow the right guru who can time the exact top and bottom” Reality: Nobody—no one—consistently times the market 100% accurately or perfectly. Not Cathie Wood, not Michalel Burry, not Tom Lee. not your favorite X account with the rocket emojis. Even the best have spectacular wins and painful losses. The difference between them and the crowd? They have an edge, a process, and the emotional control to stick to it when they’re wrong half the time. Stop looking for the perfect entry and exit. Start looking for the highest-quality businesses you can own for the next decade. Myth 8 “I can supercharge my returns with 2× or 3× leveraged ETFs like TSLL, CONL, NVDL, SOXL" Reality: These products are mathematically engineered to destroy retail capital over anything longer than a few weeks or months—and most holders don’t even understand why. They are not designed for all retail to win. Final Thought The stock market is the greatest wealth-creation machine ever invented — but only if you stop playing it like a casino. Do less. Own better assets. Wait longer. That’s how quiet millionaires and billionaires are actually made! @cantonmeow @matthughes13 @gabz_investing @sheslee @tonylee80 @Nagetheworld @chad_ventures @Hiteshp99

Today I'm writing a weekend guide on how to do DD when shorting $NBIS: First, you look at hyperscaler earnings for AI cloud read through: > $GOOGL: reports record AI cloud demand + backlog + margin increases from earnings > $AMZN: reports record AI Cloud demand + backlog + margin increases from earnings > $META: reports higher than expected prices for available capacity from earnings. Now, time to look at Nebius: -> $NBIS: Growing hundreds of percent to $7-9B ARR by Q4. Growing margins, and guided 4GW+ contracted power. -> Sees Uber/Waymo splitting, putting more focus on Avride -> Sees Clickhouse growing rapidly every quarter. Okay looks bad! But next, you need a hedge? -> Wow! A $NIKE brand executive, after the stock dropped 75% over the past 5 years, went to $LULU to save that brand next? Lululemon seems good. Conclusion: Short Nebius and go long on $LULU

As a earnings recap: $AMZN, $META, $GOOGL, and $MSFT guided a 2026 combined capex forecast to ~$720-$745 Billion. Up from $695-$725B Billion previously. Amazon: $220B Google: $195B-$205B Meta: $130B-$145B Microsoft: $175B We've already seen significant deleveraging and retail/institutional margin liquidations (maybe it continues for more time, who knows). But medium-long term, I'm not quite sure how anyone can be bearish the upstream semis or neoclouds. Given each hyperscaler has flagged either compute shortages, rising cloud demand + pricing power, or increased spending for chips/networking. My "bottleneck" thesis with many of these upstream semi supply chains is that when trillions in capital flows into things from InP substrates or memory (which were both treated as cheap commodities) or even energy. Lot of these current AI names that were treated as useless before in telecom cycles or even toilet sellers. Gets rerated when their inflection period hits and capex flows into their balance sheets. As seen with $NVDA GPUs past few years, memory this year, CPUs/MLCCs next few years, CPO in 2027, Glass Substrates in 2027, 800V in 2027, and so on.

Just a TLDR of this week: Media: Hyperscalers overbuilt and are selling excess compute. -> $GOOGL, $MSFT, $META, and $AMZN: Demand for compute far exceeds capacity. Capex go brrr. Institutions: Emergency rate hike or 3x rate hikes, it's all over. -> Kevin Warsh: No rate Hike. Retail/Media: AI is crashing because it's a bubble. -> Citadel looking to buy AI leveraged hedge funds positions: 👀 Jim Cramer: Sell all your leveraged DC stocks. -> Koreans: SK Hynix +30%, Samsung +26.81%

Few earnings TLDRs with my favorite $AXTI and $AMZN: Amazon: - Raised 2026 capex to $220B vs. prior $200B (partly due to higher memory costs, which is bullish on $MU to Samsung) - Even at $220B, Amazon will not have enough capacity to meet all 2026 demand; Jassy expects the same in 2027. - Most incoming 2027 capacity is already reserved, with substantial 2028 capacity also reserved. Mostly read through on upstream semis. $GOOGL, $META, $AMZN, and $MSFT all identified compute shortage. All the narratives a few weeks earlier was "excess compute" from Meta and others + hyperscalers cutting back on spend... All BS. Amazon earnings was very bullish on AI semi trade. AXTI: - AXT to double InP capacity during 2026. Then double again in 2027. This is expected to make AXT "by far the largest indium phosphide producer in the world." - LFG - Q2 rev was $47.6M, the highest quarterly revenue in AXT history (InP revenue reached a record $30.7M, from DC applications.) - Revenue increased 77% sequentially and 164% year over year. - InP revenue-capacity targets: $60M per quarter exiting 2026. - $130M per quarter exiting 2027 That $130m target could be hiked too since management stated they find "whatever ways to increase that capacity expansion" - Management said the reported backlog remains well above $100M, but that number no longer reflects all available demand. "Customer demand continues to outpace supply, no matter how fast we add capacity." 800G/1.6T is driving the current cycle, while NPO/CPO extends it beyond 2027. Also they're targeting 50%-plus gross margin: "We should definitely be targeting a number that begins with a five." China demand more than doubled, and their agreements with Casela, $COHR and $LITE did not materially drive Q2. This is not even considering my projected massive ASP hikes yet as InP substrates get more bottlenecked. TLDR: - Amazon too much compute demands, needs capex to fufill it, so upstream semis go brrr. - AXT world largest InP substrate supplier, high gross margins, expansion, and supply can't keep up with demand. Bullish on demand side from Amazon + capex. Bullish on upstream optical supply chains from too much demand.

Just some takeaways from $META | $MSFT earnings calls: Microsoft: - Expected to be FCF positive in 2027, despite the increase in capex (extremely positive for AI buildout that it's funded by operating income) - "Free cash flow was $19.6 billion, reflecting higher capital expenditures" - Quartely capex was $41B, roughly 2/3rds were "short lived assets, primarily CPUs and GPUs" - Expects capex spend will be over $50 billion for next quarter - Capex Guidance at ~$175 billion and 2027 capex roughly the same. Spending plans unchanged and in line. - "Extending the estimated useful life of our data centers from 15 to 25 years" - "We will be among the first cloud providers to deploy next generation rack-scale AI infrastructure based on $AMD Helios and $NVDA Vera Rubin" - "Customer demand continues to exceed available capacity" Meta: - Capex $130-$145 billion (narrowed range), from $125B-$145B. - Meta is receiving offers at a "significant premium" to what they paid for it (compute scarcity, positive for neoclouds like $IREN / $NBIS ) - Expects significant portion of compute (like the 1 GW DC in El Paso) to develop internal models. - Meta has multiple ROI-positive uses for additional compute across its core business (internally, not Meta Compute) - "Finally, we believe that overall industry capacity is going to remain tight for the foreseeable future" - "The industry has under-built historically for the wave of AI adoption, making existing capacity, including our own, extremely valuable" - Susan Li TLDR: - $MSFT and $GOOGL largely sustaining AI capex buildout while remaining FCF positive or through operating incomes. - $META flags available compute materially below demand at least through 2027. And $MSFT also flags compute demand far exceeds supply. - All three hyperscaler capex largely in line with Google hiking capex figures. AI selloff seems extremely overblown now, hyperscalers continuing capex in line (with Microsoft being FCF positive) or even hiked with $GOOGL. Compute scarcity is visible throughout every single hyperscaler ER.

I personally see it as extreme short term deleveraging that overshot many individual names. - $BE to $TER reported blowout results, with Bloom reporting 166% Y/Y rev growth + expanding margins + raised 2026 guidance... Teradyne reported 104% Y/Y revenue growth with 300%+ EPS growth. Your leading optical players over in China reported amazing preliminary earnings + extremely strong read through for the Western photonics sector. Think earnings season tend to remind markets about continued AI acceleration. I'm expecting $LITE, $SNDK / SK Hynix, and sector leader ERs to continue that trend. But it does feel like markets are rewarding existing acceleration more rather than future growth a year out over near-term revisions as seen with $AMKR. But as a TLDR, looks very positive for the themes I'm tracking. - Then you have $GOOGL capex raised to $195-$205B, which is typically the biggest AI demand signal from hyperscalers. - 77% 0bps change est. next FOMC decision from prediction markets. Trump administration on Monday called for the Fed to lower interest rates. So your 3x rate hikes fears this year seem kinda overblown. - Chinese fears from DUV to $CXMT overflooding are extremely overblown as well. We see this with every sector from time to time until people remember that lasers or HBM bottlenecks for a reason. As for personal thoughts, it was unhealthy seeing everything rise up or down together, especially with these themes. But I'm personally not worried since I have full conviction in my names, especially optical interconnects like $SIVE or $AAOI. $META compute and $GOOGL GCP margins/growth shows increasing demand for $NBIS and similar neocloud business models. $META + other hyperscaler notes around LTAs with $SNDK and Samsung/SK Hynix, $MU point to structural memory demand. Can go on and on... But when you have Jim Cramer telling every margined DC trader to "sell everything" at market open and news saying there's an AI bubble. I do hate it when others say "it's dropping so sell". My belief is that the important thing to look is accelerating revenue/EPS growth. And if that thesis stays in-tact with revenue acceleration in line with hyperscaler capex. TLDR: I see signs of AI demand / revenue acceleration, hyperscaler capex is one of the most important things to track. And my guess is that we'll see the theme recover broadly. But I can't predict what hour, day, or week that happens.

Just some TLDR news: - $CXMT IPO tomorrow if you like Chinese memory. - Samsung Electronics reportedly struggling to secure large FC-BGA substrates. Ibiden (4062) reportedly requested LTA guarantees, Samsung Electro-Mechanics sought prepayments. - Samsung + $AVGO sign memory + foundry AI framework through 2030, expected to exceed $200b - $SOI expects FY2027 silicon photonics revenue to double compared to the previous year, surpassing Morgan Stanley's 60% growth projection. Photonics thesis go brrr. - SK Group + $NVDA sign $500B+ partnership to build out AI DCs and HBM4 memory. - SKC Absolics glass core delay to 2027 from reports. Targeting final reliability testing EOY, mass production next year. So if you're curious, this does push back some ramps from $LPK and others (hence drop on ER). - $QCOM price hikes by double digits for smartphone processors, due to upstream supplier hike pricing. - $META expected to issue $12B in project-level/SPV financing for El Paso, Texas AI DC expansion - Naver announced a $10 billion investment from $NVDA and Brookfield to construct a 1GW-scale AI Factory. Near term plan is 200MW by 2028. (Nvidia $1B investment, Brookfield nonbinding $9B) - 64GB DDR5 server modules rises 146% versus end-June contract pricing - $INTC brought forward 14A process mass production by a year, risk production H2 2027 and volume production in 2028, vs. 2029 HVM expectations. - Samsung Electro-Mechanics wins $200m MLCC order (existing bottleneck). - $AMD (the Bandana bottleneck), announces Helios is in full production with shipments Q3 2026. Including an up to 2GW MI455X GPU deployment with Anthropic and a 6GW infrastructure rollout with OpenAI. Gave new >50% CAGR TAM to $220B by 2030 from $26b in 2025 for CPU market. Rolls out optical interconnects for Mi500 in 2027. From channel checks, AMD is heading down to the CPO route (seems likely to use Ayar). - $ORCL wins $7B Department of War enterprise software contract - JX metal doubles semi target capacity at its KR subsidary with a 4B yen investment, with operations to begin H2 2027, amid surging demand from major customers Samsung Electronics and SK Hynix - Tungsten hexafluoride spot prices surged 2.1-2.5x Y/Y following Japan's Kanto Denka and Chuo Gas announcing permanent production halts. Fluorinated liquid supply faces a vacuum as 3M plans to exit PFAS production. - From the four optical chipmaker earnings, Yuanjie/Eoptolink/TFC Optical/Dongshan Precision: no major order cuts, 1.6T shipments expected to accelerate into 2027. Optical chip suppliers expected to capture outsized margins from shortages. - Unitree Robotics Targets 30,000 Humanoid Robot Production Capacity by 2026. Read through on humanoid TAM scaling like $CCXI and others. - Energy storage lithium batteries orders increase first half orders by 2,900% apparently in China. Not as familiar with EVE Energy and other battery makers.

$GOOGL now has 950M monthly Gemini users and processes 22B API tokens/min. Compared to 750M back in February. Absurd growth adding 200 million more users in a few months. Kinda explains why they ran out of compute, then cut allocations to $META and others. Very unlikely AI capex will slow down given.

$META in talks to lease compute to Anthropic in a $10B dollar deal. Seems like they saw how profitable $SPCX $45B compute deal was. But just goes to validate Neocloud business models like $NBIS, $IREN, and co if hyperscalers are copying their homework. Source: NYT https://t.co/3Mu3UXQtFT

$AAPL looks to acquire AI chip companies for running AI (Source: The Information) Right now, $MSFT, $META, Amazon, Google are carrying AI capex spend. But what if Apple joined the others after M&A? A possible scenario is that they revise capex largely upward for their own AI buildout. Since they probably witnessed Google cutting off Meta from compute constraints... or what happens when you partner with OpenAI for LLMs. Then learned how important it is to have your own infrastructure. This scenario would be quite bullish thematically from optical networking to foundries and something markets would not expect? We'll see what happens.

$NBIS signs $1B+ compute agreement with Reflection AI, for GB300 access through 2029. Reflection also signed a multi-billion dollar agreement with $SPCX earlier. Interesting to say the least, seeing Nebius drop -5% off the news today. Also... counterparty to get this done kinda reminds me of OpenAI, where they might not have the funds to actually execute on these LTAs yet compared to $META or $MSFT. But generally positive long term developments, customer diversification was one of the core strengths of Nebius.

Just a semi recap TLDR: - $GLW glass bridge per Morgan Stanley has potential, but hard to displace FAU (like FOCI) in short term - $SPCX Starlink Gen 3 is scaling to 100,000 units (10x prev gen) creating possible capacity constraints for suppliers of switches to CCL. - PCB supply shortages are projected to persist until 2028, and component shortages/price hikes are already forcing ODMs like Inventec to issue conservative H2 shipment - DeepSeek and Zhipu are developing custom ASICs to bypass $NVDA (kinda expected by now). - Anthropic has achieved a $30B ARR and is projected to hit >$1B in Q3 profit. Turns out these frontier labs are more profitable than people think. - US admin pressured $AAPL to source from $INTC, in exchange for tariff exception. Kinda pressuring alignment away from TSM. - $TSM plans a 30x expansion of its Photonic Integrated Circuit (PIC) capacity by 2028, growing from 500 to 25,000 wafers per month - Hanmi Semiconductor is entering the CoWoS packaging equipment market - $NVDA and NTT hosting a conference July 24th to discuss CPO strategies. - 5x general NAND flash price hike this year, market size $489B by next year triggered by RAG/inference. Samsung and SK Hynix make emergency fab investments, NAND equipment suppliers go brrrr. - Gas turbine bottleneck, 40% supply gap accompanied by staggering 5-year delivery cycles (mega-fabs need them for mass production). - AI probe card assembly has hit a severe bottleneck apparently. Which is attempted to by solved with things like Innovation Service's machines. - Nanya, 79.5% gross margins reported, memory go brr. 4x capex for capacity/advanced packaging. - CXMT's STAR Market IPO on July 16, so should bring a lot of attention to memory players in that supply chain. - KYEC $1.4B investment into US for $TSM Arizona output test facilities. Lot of these players like $AMKR and others should go brr in 2028. - $INTC CEO warned last month that helium could hinder the manufacturing costs and delivery times of AI chips - 3D NAND word lines are shifting from Tungsten to Molybdenum starting at the 375-layer node - SambaNova secured JPM for AI inference and raised $1B at an $11B valuation. - HBM prices projections to double in 2027 as $NVDA Rubin platform drives demand. - $MU provides $500 million in funding to support GlobalWafers' US manufacturing capacity - $META 'Iris' will enter mass production in September via $AVGO and TSMC and Meta aims to double computing power to 14GW by 2027. - Largan Precision has secured its first CPO FAU order, mass production slated for middle of next year (kinda indication around Foci and others). - Samsung and SK Hynix have delayed the implementation of hybrid bonding packaging technology for HBM4 apparently - Memory costs (DRAM/NAND) have reached 60% of the BOM for sub-$400 smartphones, causing a severe volume contraction. - SK Hynix successfully rasied $26.5 billion through a Nasdaq ADR - $TSLA issued procurement guidelines requiring suppliers to reach weekly production of 1,000 units by September and double to 2,000-2,500 by year end for its 3rd gen Optimus robot. Apparently Alliance Technology and A-Link may be in this supply chain harmonic reducers and vision lenses? Kinda go through all this stuff every day, but don't wanna be a news reporter so just consolidated stuff I found interesting.

Nothing like an internal $META memo getting published. Showing AI ramping as usual: - LTAs signed with Samsung and $SNDK for memory - LTAs signed with Sumitomo Electric for fiber optics - Expected to deploy 7GW compute infra this year, and doubling in 2027. - as much as $145B capex spend this year “It plans to launch a chip about every six months through 2027”

$META to build a new $10B DC in Canada to expand AI capacity. So much for the media framing of “Meta Compute”as overbuilding and cutting capex. https://t.co/0QgSls0s9o

Just Bloomberg and $META doing damage control after crashing the market with Meta Compute framing: Spokesperson: "Meta is still hungry for even more computing power. It is still moving forward with plans for expensive new data centers and recently inked major computing deals with $CRVW, Google, $ORCL, and others." Just dropped that in with the Meta Muse announcement, and evenn threw in the "expensive" framing with DCs to signal capex. But little late given we're likely seeing a lot of margin liquidation cascades and heavy losses from media framing earlier.

One of the dumbest thematic selloffs I’ve seen to to date off: - $META compute news that’s not new - CPO delay report 1, that got refuted by $NVDA - CPO delay report 2, that got refuted by $NVDA High confidence, institutions will end up going long on the same names they’re bearposting after retail capitulates.

I’d like to give a special thank you to Bloomberg’s piece on $META compute. As well as the 2 back to back bear posts on CPO delays. But I believe thematically photonics, memory, energy, and physical AI will outperform in the long run. https://t.co/vghsG5H2w5

Looks like there's a high power cylindrical cell / BBU cell shortage (aka: bottleneck): - Samsung SDI supplies the cells to Simplo, which assembles them into BBUs for $META to $AMZN. - As demand from data centers has increased, production of Samsung SDI's cylindrical cells has also risen sharply. - Industry sources said Panasonic, Samsung are experiencing supply shortages for BBU cells. So main beneficiaries imo look like: - Samsung SDI (KRX: 006400) / Panasonic Energy as cleaneset winners - Murata (6981) / this keeps showing up everywhere with MLCC and others lol - LG Energy (KRX: 373220) / incoming There's not really much direct US players? But adjacent read through like $VRT, $ETN or $BWA / $ENS. Not quite in my domain emphasis cup of tea though. I wouldn't conflate this as all shortages having a massive TAM, but there could be opportunities...

SemiAnalysis on $META “overcapacity” and market reactions with $NBIS and others: “We believe Meta’s datacenter and compute will accelerate”. “Capex in 2027 will be shockingly high”. Recent global crash, especially in the photonics sector was stupid… Off misleading narratives of Meta dropping out of AI race to sell excess compute… When in fact things are likely to accelerate from Meta catching up to GPT5.5. I’m personally expecting a sharp V recovery, especially with the names that crashed 50%+ from this narrative.

Lot of misinformation recently about $META. Recently major journals have been stating “AI AGENT DEVELOPMENT OVER THE LAST FOUR MONTHS HASN'T 'ACCELERATED IN THE WAY WE EXPECTED” To push some narrative about Meta dropping out of the race or lowered capex: As Wang clarified: Zuckerberg was talking about the industry as a whole.

$META: upcoming AI model “Watermelon” has caught up to OpenAI’s GPT 5.5. Wang noted it uses an "order of magnitude" more compute than its predecessor “Avocado”. Who said they were out of the AI race again? https://t.co/X2sOgMRTuw

Always a fun time seeing semi markets crash from Bloomberg report framing once again… UBS analyst on $META report: “this is not new news”. Regardless: $AEHR down -18.3% $AAOI down -17.13% $SIVEF down -15.4% $SNDK down -14.8% $TER down -13.8% $GLW down -11.4% $MRVL down -11.2% $LITE down -10.2% $NBIS down -7.8% Getting PTSD from Bloombert’s previous misleading report on AMD/Nvidia global export controls earlier this year that crashed semi stocks. FYI: Meta doesn’t randomly buy $48B+ worth of neocoud contracts if they overbuilt capacity and can cut capex… Markets are stupid sometimes.

Photonics is backed by actual revenue numbers and it's an architectural shift championed by $NVDA. Quantum barely has any revenue. $LITE is completely sold out for the next 2 years (per $POET AGM) likely starting into 2029. Lumentum is so strained that they buy CW lasers off competitors (earnings transcript) $COHR is bottlenecked, so they buy EML off Lumentum. Then, $AAOI is coming in with Made-in-America independent CW capacity, are projecting $1.4B/quarterly revenue ending H1 2027 of a stupid $9.3B MC today. So all the CW capacity from independent players who have it now like $AAOI or $SIVE are likely to become scarce resources. Many other hyperscalers have already started LTA discussions (per Trendforce). And players like $AMD are currently talking with players such as $AAOI (Rosenblatt channel checks). Thematically, next 2 years is 9x TAM to US$154B per GS reports, especially with 16x/45x dollar content increase in scale out/scale up. Then there's the overall thematic AI drop from $META, which is widely misunderstood because people conflate what "excess capacity" means. And as UBS mentioned, Meta planning a cloud offering is NOT NEW NEWS. Bloomberg just has a tendency to publish information that causes doom drops across the semi sector like Nvidia export controls a few months back. But I'm familiar with what I'm holding so I'm confident in these numbers playing out. Especially when all the major players are sold out, the fundamentals catch up eventually.

Wells Fargo: $META intent to sell excess compute is a positive signal around underlying demand and unit economics of AI. “Despite this shift, we don’t expect a pullback in Meta’s capex or that overall compute needs are lower” Regarding Neoclouds: WF thinks it validated the massive AI infra opportunity as well as acquisition opportunities. Despite any potential competition for Neoclouds. I’m inclined to agree with Wells Fargo here and say markets completely misunderstood Meta’s excess compute comment.

There’s a lot of disinformation going around about $META “cutting capex” because they “overbuilt”. This is an “if” they have excess capacity. And it looks like the opposite right now: Hyperscalers like $GOOGL are so compute constrained that they had to cut allocations to Meta back in March. Since Meta was using too much for internal projects. Meta was immediately constrained so it looks like they were forced to immediately sign massive $48B+ contracts with Neoclouds like $CRWV and $NBIS. Meta is selling excess capacity if there’s any, especially since their large contracts are take or pay from the Neoclouds. If anything, I’m expecting their guided capex to go up as they build out more independent capacity.

Finally, $META to build a Cloud Business to sell excess AI compute per Bloomberg. Thought Meta should go up against GCP, Azure, and AWS eventually to increase revenue streams. Meta up 6.65% premarket. https://t.co/UUolnwtYJY

Just some of the more interesting news I came across recently: 1. MS: Revised China humanoid shipments to reach 50,000 in 2026 from 14,000u and 28,000u earlier this year. 2. MS: Probe cards and test sockets likely to be priced hike (precious metal hikes + severe shortage of test pin capacity) 3. Capacitor price hikes: MLCC, aluminum electrolytic, tantalum, polymer aluminum, film, and super capacitors from Yageo. 4. $META Vistara architecture: Older DDR4 Memory with CXL as memory expansion 5. OpenAI achieved inference optimization breakthrough that halves costs and reduces GPU requirements. 6. LTAs are being signed with MLCC after Samsung signed LTA with US big tech customer 7. Grid power bottlenecks triggered 5x increase ($25B) in Brookfield's financing for $BE fuel cells. 8. Taiwan's chip packaging and testing supply chain includes major OSAT providers such as $ASX, Powertech, Winstek Semiconductor, Chipbond, ChipMOS, and ShunSin. Dedicated testing companies include KYEC, Ardentec, and Sigurd Microelectronics, while testing interface suppliers include WinWay, MPI, Keystone Microtech, Chunghwa Precision, and Hermes Testing Solutions. Leadframe makers include Jih Lin Tech, SDI, and CWTC, while major IC substrate suppliers include Unimicron, Kinsus, Nan Ya PCB, and Zhen Ding Tech. (Digitimes) - Taiwan-based OSAT providers are raising prices - Memory and IC packaging and testing capacity have both become bottlenecks in the semiconductor supply chain

Hard to see a world where US AI hyperscaler capex drops dramatically from $GOOGL to $META. When China entities like 360 go and claim: They now have a "AI cyber nuclear weapon" that can hack Western companies and governments. (Zhou claimed Mythos was like an AI era cyber nuclear weapon, then claimed they built a Chinese equivalent). We're probably witnessing the modern cold war. But instead of nuclear stockpiles, it's racing to build superintelligence both offensively and defensively. With many different "battles" happening concurrently like supply chain export controls between China -> Japan -> US hyperscalers. The funny thing is that everyone still depends on one another: - US with things like rare earths and feedstock from China. - China with EUV to EDA and engineered substrates. So there's still give or takes trades to build up capabilities like Nvidia/AMD AI chips access for rare-earth/magnets access. Which is exactly why it's important for the US to build up rare earths supply chains ASAP. And not piss off allied supply chain chokepoints like European EUV partners with $ASML to Japanese vacuum/furnace makers like Ulvac with things like tariffs, if the US wants to use it as leverage for negotiations. But we're getting dangerously closer to a point where supply chain interdependence is not a deterrent against escalation. Especially as China grows closer to becoming self-reliant. And that might be the tipping point.

Guess we finally found why $META signed massive agreements with Neoclouds like $NBIS back in March... And why Gemini got super nerfed. $GOOGL reportedly restricted Meta's capacity in March 2026 because of compute restraints. Google's CEO said from last earnings computing power restrictions prevented Google Cloud from taking on more customer needs and made the department's backlog nearly double the previous quarter. This is probably positive for the AI DC capex buildout since hyperscalers capacity is way below what is needed, and especially so if they can't rely on one another.

I think something to highlight also is not all my ideas are green, especially on short term timeframes! My core three themes are Neoclouds (Energy), Memory, and Photonics. And I'm glad I chose the literal top performers for each segment from $NBIS to $EWY leaps to $SIVE. However, I still have pretty large losses following the false analyst report on CPO delays that $NVDA refuted: That nuked 3 of my TW CPO longs from Foci, Msscorp, Xintec and others. (which are heavily red). Shunsin / Win Semi are holding up much better though. Some of the other ones in Japan that I've mentioned like Towa, Harmonic Drive, NCI, etc. are performing much better following short-term volatility. As for Korea yes I have PTSD for from Auros and now Foosung that are both both red (I didn't own 093370 though, just got PTSD watching price action). Idk if I'll touch Korea again, just way too volatile. But I still think those will end up green eventually following Sk hynix/samsung qualifications + HVM, and the future japanese supply chain shutdown. I also did change some of my previous long ideas like $XLU following the Iran War nuking all chances of rate cuts from 3-4 down to 0, and that didn't play out too well. Three software names I mentioned previously like $TTD, $META ended up red. $SNAP, I also changed my thesis after noticing the endless SBC accounting methods. $RDDT idea was finally in the green from $130 -> $170 after a long time. But I think the vast majority of my ideas like $MRVL, $NBIS, $ARM, $INTC, $MU, $LITE, SK Hynix, Samsung, for larger cap. Down to $AXTI, $LITE, $AAOI, $RPI, $IQE, and others for smaller cap positions directionally play out pretty well. With random stuff like $SIMO, $HPS.A, $TSEM, $AEHR, $LPK, $SOI, $ALRIB, and so on all ended up turning out aight too. The blended average is kinda overwhelmingly green since majority of my long ideas are triple digit YTD. But I've definitely missed a few. Also entry point is really important too... I mentioned $AAOI at $30 or $AXTI at ~$13, but not everyone has the same entry point. So if someone bought AOI at $220 and it dropped to $160, I'd feel bad. But regardless, I'd prefer to judge how ideas play out on medium term timeframes over a few months rather than a few weeks.

Just some random thoughts, I do think AI is the most disruptive technology in human history. To the level of agricultural or industrial revolution. Since Anthropic, OpenAi, XAI, and others are racing to build superintelligence. The amount of economic impact can't be measured if AI helps find cures for cancer or accelerates discovery for Quantum Computing. Or if AI end up displacing the workforce, which increases profitability for companies. The US Gov has every incentive to keep the buildout going too, as the implications from Warfare, Cybersecurity, is also immeasurable if China takes the lead. So there's likely to be incentives and subsidies to win, even if there's not enough profit derived LLM training/inference. As for sustainability, when you look upstream, $GOOGL is able to fund it majorly with their own cashflow, same with $AMZN, $MSFT. More lukewarm on $META. Very iffy about $ORCL. But I do see some bubbles forming around debt interest like $CRWV. Maybe circular valuations that's happening with OpenAI backlog agreements or $NVDA / $AMD agreements with Neoclouds to buy their GPUs. But as seen with $MSFT and having OpenAI be a major part of the backlog, it did correct off the information, so "bubbles" like that do pop despite the overall markets increasing. Definitely don't see a bubble in upstream semiconductors from $LITE to Sk Hynix though since the amount of profit they get from the buildout would likely be insane to make up for capex decreasing. OpenAI was actually my biggest fear from contagion, eg. $CRWV, $CBRS and others, but they just raised a lot. So think it will be fine for another 1 1/2 years of capex, especially if they IPO this year. I also don't think we'll get massive Fed tightening despite "predictions" since this will trigger a contagion since many of these players rely heavily on debt. And although the Fed is independent, don't think Trump would have supported someone who is against his administration goals. As for semiconductor valuations going up every day like $AMD or $MU, there's probably going to be some corrections here and there. Everything going up together is kinda unhealthy. Can't time the capex peak but just from $AVGO and other projections, it just keeps accelerating exponentially into 2028. Especially as everyone is starting to sign multi year agreements as well. OpenAI contagion / hyperscaler capex decreasing / fed tightening was what I'm looking out for, and no blaring signs of any of those yet. So I think the music will keep playing for this year at the bare minimum.

At this point I can't tell anymore if markets from $META to $MSFT are correcting because of macro. Or just liquidity pull from $SPCX + index inclusion. And institutions frontrunning Nasdaq 100 and other rebalancing of SpaceX... Anyone know? https://t.co/sTLjsGq95V

$META (June 8, 2026-weekly chart) Despite the recent pullback, the weekly chart of $META remains constructive, continuing to print higher highs and higher lows. For the uptrend to regain momentum, price needs to reclaim and hold above the two most significant momentum bars at $594.20 and $645-range consistently. In the meantime, the $580 zone should serve as strong support — an attractive area for whales to defend. I’m already positioned in $META and will continue adding on weakness.

Yeah… I think all your upstream semi supply chain companies are going much higher. Goldman now expects a combined $5.3 trillion of capex spending for the four largest hyperscalers $GOOGL / $META / MSFT / $AMZN from 2025 to 2030. Revised up from $4.5T from Q1 earnings. “Aggregate capex est. $7.6 trillion between 2026 and 2031.” And it flows upward to these tiny chokepoints like $SIVE for CPO lasers/ $SOI for Silicon Photonics substrates. Leaderdrive/Harmonic for Humanoids components. And so on… Ai names don’t move in a straight line up, but is just the beginning of the next Industrial Revolution as we move from R&D/compute buildout into commercialization from Agents -> Physical AI -> discovery.

Just some random notes about $AVGO earnings transcript - Revenue target reiterated ($100B+ 2027, pretty sure markets wanted that to be raised this earning, hence the drop) Remember $NVDA Jensen comments about $MRVL $1T company around networking/connectivity/interconnects? - “So as the TPUs continue to accelerate, there’ll be pressure overall on margins. But the connectivity side, the AI networking side of the business has very rich margins” “Demand for … networking is simply insatiable” Also very positive read through as well for the $LITE and the other players. But for TPU margins it goes down at scale, which is understandable. - “they are placing orders in fairly huge demand, which basically gives us a lot more visibility.. runs all the way to 2028 right now” positive read through on overall AI demand since it’s 2026 now… and orders are out in 2028 - The initial order for 1 gigawatt, which includes XPUs and our networking has been received and will start Delivery in the second half of 2027. for our other two customers, we expect shipments to begin late 2026 and accelerate into 2027. $META custom AI program h2 2027 timelines - “Our revenue, our content per gigawatt will increase. you start putting a lot, you start putting embedding CPU cores into the same XPUs and making those chips basically multi die with lots of hvm.” Just for the GW modelers. - “For OpenAI we have delivered silicon and we are on track for production late 2026” OpenAI custom program timeline - “If you ask about 27 or 28 that will continue to grow. We expect in fact 28 to be a substantial growth from what we are forecasting in 27.” More about the demand ramp, go brrr - “Google, that we expect a diversity of sources from them” Mediatek (2454) primary beneficary, maybe $MRVL. Already expected though Google doesn’t sole source so they don’t get bottlenecked. There’s quite a lot of AI demand visibility way until 2028, which is bullish on the AI sector as a whole. Regardless, Broadcom ends the week +0% lol. TLDR: Strongly bullish AI demand, especially networking. Stocks don’t move in a straight line up, but demand curves 2026-> 2027 -> 2028.

Ayar’s announcement today with Wiwynn is potentially very material for $SIVE regarding CPO -> rack scale deployments. As Wiwynn cloud clients include $AMZN, $META, $MSFT. And they’ve been in talks for $GOOGL TPU deployments. I think just for some reference architectures it’s around 512+ supernova light sourc a rack. So if $SIVE is the primary laser array supplier (which we expect, given Macom + Lumentum was removed from Ayar’s site). Even modest rack deployments would be very meaningful for revenue. This is just rack scale commercialization potential right now from $SIVE / Ayar / Wiwynn, which won’t show up in revenue financials yet.

Feels like $FUTU and $TIGR are kinda screwed? The Chinese Gov is going after their historical revenues. There's basically no fair law in China (esp. with IP), so if Gov wants something done, courts will be rigged against them. So no chance of an appeal, unless they make a hidden deal. Also don't think the brokerages are able to pull a $GOOGL like their 20 decillion fine, given local operations So TLDR: Good lesson learned to avoid Chinese exposure from $BABA to $PDD as much as possible... And (as seen with $META + Manus + this case), even if something looks cheap. There's a reason why all the US equities have premiums, even if a little high.

Bullish on $ARM, given the new bottleneck shifting back to CPUs. MS shows stuff like Orchestration/RAG requiring CPUs. But I'm predicting parts of localized inference to be handled by CPUs more and more... as models like Gemma get lightweight in the future. Not every robot needs to be able to solve the mysteries of the universe. Data centers will need an astronomical amount of traditional CPU compute (AWS Graviton, $GOOGL Axion, and $MSFT Cobalt), which are all ARM based. $META + OpenAI are also buyers of the AGI CPU. And AI will flow down to edge. $15B annual revenue target.. Starting to look reasonable?