Track → Review → Repost → Learn.
I repost market insights after cross examining with Grok (and sometimes ChatGPT too) to identify useful content. DYOR.
@shaunmmaguire So many here talking like Jensen should be replaced due to cheating. Honestly investors don't give a dang.
Why swap him for a "loyal" guy with less return?
No investor will vote for that.
I’d rather pick him even if he cheats again—just don't pick a spy this time 🤣
@BillAckman@JensenHuang So many unforgiving comments on here lol
To be honest, the most baffling part is his choice; given his position, he could choose almost anyone, so why her?
Anyway, everyone makes mistakes. Unattractive or incapable men simply never have the opportunity to make such mistake.
$NVDA - NVIDIA BOARD LAUNCHES ESPIONAGE PROBE INVOLVING CEO JENSEN HUANG
Nvidia IS launching an independent investigation into whether CEO Jensen Huang was targeted by a Chinese intelligence operation, Bloomberg reports.
Huang admitted to an extramarital affair and apologized to employees. US authorities reportedly suspect a former Megaspeed executive of links to Chinese intelligence.
Nvidia's board says it has no reason to believe company secrets or national security were compromised. Huang will remain CEO and cooperate fully with the investigation.
@BillAckman It’s funny to see the social media logic where many Americans demand Ukraine to stop defending itself against an invader, while simultaneously supporting Palestine's fight—completely ignoring that Hamas wouldn't be able to conduct its terrorism without Palestinian support.
I love how ppl still live in the good times. They forget those deals only worked because the USSR was stagnating while the US had a far stronger balance sheet and reliable allies. Now with heavily indebted balance sheet struggling in treasuries auction and allies distracted by migration crises, ppl still believing in the same approach is somehow supposed to work 🤣
Morgan Stanley's bull case has humanoid robots carrying ~$7,200 of analog and power chips each by 2030 and here’s how that breaks down by supplier:
• $ADI $1,625 per robot generating $355M
• $ON $1,125 per robot generating $246M
• $IFX $1,094 per robot generating $239M
• $TXN $1,000 per robot generating $219M
• $STM $750 per robot generating $164M
• $MPWR $500 per robot generating $109M
• $NXPI $469 per robot generating $103M
• $MCHP $344 per robot generating $75M
• $ALGM $188 per robot generating $41M
What's interesting is that this assumes only ~220K robots by 2030 so while revenue opportunity is still super small the amount of chip content in each robot shows just how much upside these suppliers could see if adoption accelerates.
@Reuters Mark this down and then ask yourself in the future why, when US is leading in AI—which could bring back revenue from outside the US to help fix the aggravating fiscal problem—you chose to destroy it and end up leading to a much higher tax bill.
$AAOI earnings:
- $1B-$1.5B LTA disclosed with a hyperscaler customer
- 2nd LTA coming soon, worth 5x+ more (implying $5B-$7.5B), in its final stages.
This LTA explicitly includes lasers, very material for AOI that they're moving to supplying merchant lasers.
- "The demand is exceptional, unprecedented. I do not know what kind of superlatives to use to describe the amount of demand that we are seeing out there in the industry"
Yeah this commentary doesn't sound like any optical demand would slowed down if it's "exceptional + unprecedented"
- Rejected hyperscaler slowdowns from political changes with little effect.
- AOI Can only meet 80% of demand, in case there's a kind of reduction, the demand would be bigger than AOI future capacity
- Moving toward other financing methods than ATMs (thank god), US bank loans similar to what $NBIS is doing, I'd argue is positive, given FCF coming in later.
- Delay in meeting capacity projections into H1 2027. $471m/month targets pushed back into H2 2027, due to electrical procurement and construction logistics, which existed before Texas governor changed.
This part is negative part of the earnings call. To qualify this, I don't quite think hyperscalers would sign a $5-$7.5B LTA if they didn't think AOI couldn't deliver.
- Near term Q4 guidance cut was DSP availability. AOI revised near term projections down slightly to $385M and $420M in revenue.
Said DSP supply would ease early 2027 and that they're qualifying more suppliers.
- Gave hiked H2 2027 capacity projections from their expansion, near term revision downward.
- 4 to 5 ongoing UHP laser eval/quals for CPO
UHP laser segment alone would far outweigh their $3.8B MC, especially if you're executing on multi billion dollar contracts with 60%+ gross margin laseres.
TLDR:
- Long term visibility improved a lot, with est. $6-$9B cumulative LTA contracts coming soon.
- Shift toward supplying CPO lasers merchant is fundamentally material vs. just transceivers, and what I wanted to hear
- Capacity guidance hiked into H2 2027, near term delays from electrical/DSP related procurement + installation.
I still think we're reached peak fear levels, but wouldn't dismiss disappointing short term procurement delays + Q4 DSP bottlenecks.
AOI likely signing an additional +$5-$7.5B in likely hyperscaler LTAs and entering merchant UHP CPO market dominanted by $LITE + $COHR.
Factored in with the valuation drop has made medium-long term opportunities very compelling.
$GOOGL formally announces a new $17 Billion DC in Wyoming.
Google also announced they’re using $BE fuel cells for this project.
Guess this news means it’s all over for the AI buildout.
AI is arguably the last major economic engine capable of bailing out the US.
We've said it before: the US is lucky to have this AI wave as a final chance to help fix its fiscal trajectory.
Look at recent Treasury auctions and yield trends—the market is losing patience.
Meanwhile, both sides of the aisle face massive political walls when trying to raise taxes, and tariffs are a drop in the bucket compared to what the US actually needs.
The power of AI and AI companies can massively boost corporate productivity—such as using AI for customer service to cut costs previously outsourced abroad. That surge in corporate revenue is a vital potential source to help tackle the US deficit.
Hopefully, lawmakers are just posturing to increase their bargaining power—whether to make AI companies pay higher taxes or help fund critical infrastructure. But if they blindly copy the EU's heavy-handed regulations, it will spell disaster for America's competitive edge.
@KobeissiLetter Whoever voted for this needs to explain to their sons and grandsons why the US had a chance to thrive and let profitable AI companies help fix fiscal problems but now they screwed it all up and leaving younger generations with a massive tax bill.
@ONagel33303 Why would Americans vote for such an ignorant guy? 😂
From solar panel and electronics to EVs, China copied at first, but always catches up. Now in AI, many top experts are Chinese. What China needs to do is just to recruit them.
@elonmusk Hard to believe Americans want to repeat the stupidity of the EU through heavy regulation. Many countries dream of having a goose that lays golden eggs like the US and Americans just voted to kill it 😂
Citadel in October: Tech companies created an AI bubble reminiscent of the dot-com crash.
Citadel in November: “The setup has improved”
Earnings continue to beat while AI infrastructure valuations compressed sharply.