TSLATesla Inc
5Bull0Bear12Mention
Serenity @aleabitoreddit
Focused on AI photonics and semiconductor supply chains — sourcing asymmetric setups from bottoms-up value-chain research. Tracks CPO & optical modules closely, with ongoing deep-dives on SIVE, AAOI, LITE, POET.
Quick verdict
TSLA is net bullish (5 bull · 0 bear)
Expects Tesla's Optimus robot form factor to converge with the ideal general-purpose robot design, hinting at strong future potential.
Last spoke: 08/29/2026, 11:26 · conviction 6/10
8-10 confidence views use larger markers▲ Bull▼ Bear● Mention
View History (17, newest first)
- Look at the contrast of how Elon Musk communicates in his transcripts. Very forward looking and visionary. And focuses around economic implications of GROWTH areas (eg. humanoids), not weak parts of $TSLA earnings. Sivers transcripts felt like lawyer like disclosures and just going on the defensive defending opportunity pipelines usage with their allspace type contracts.
- 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.
- I think @elonmusk said it best: “Robots don’t all need to be humanoid. But a general-purpose robot intended to replace human labor should fit the world humans already built. Roger, roger.” Personally, I expect $TSLA Optimus form factor to converge to the right image. https://t.co/il7tND3n59
- Feels like every other car you see in SF is a Waymo. Short-medium term I see it as negligible impact to $UBER and $LYFT. Long term I see them cooked in US markets unless they act… Since autonomous vehicles can compress cost/margins of human ride shares by a lot. Then robotics can compress cost of delivery if Waymo launches a competitor to Uber Eats. Just like how people compare uber/lyft costs before rides, what people care about is lowest cost out of the bunch, and directionally Waymo/$TSLA would likely win there
- Just some notes from $TSLA transcripts: Elon Musk: "I think Optimus will be the biggest product ever" from Q2 earnings transcripts. Even from Q1, Elon Stated: "I think Optimus will be our biggest product. Not just Tesla's biggest product ever, but probably the biggest product ever. And I remain convinced of that conclusion". It's very rare to see such high conviction reiterated from Elon regarding humanoids both directionally and TAM-wise. In terms of upstream suppliers opportunities, Karn Budhiraj, VP of $TSLA supply chains stated: "We’re seeing the same level of investment going to memory and also new specific items like metal injection molded parts, flexible printed circuits, and all sorts of nonlinear technologies..." And that they had to build new supply chains from scratch. So would be interesting to look at for new supply chain supplier opportunities apart from the known ones. Just pulled older slides and it looks like capacity targets for Fremont are 1M and Giga Texas was 10M, so at scale, $TSLA seems to be the clear US leader. If you're looking at that S-Curve opportunity ramp. On a side note, Elon also gave a shoutout to $MU with likely reasonably priced LTAs, given his statement: "We really appreciate Micron making room for Tesla in the years to come and giving us actually a very significant allocation on reasonable terms given the pretty insane pricing of memory these days." (Just for structural memory demand). Elon also gave a shoutout to Panasonic which had invested many billions in increasing battery cell production (will need to do deeper DD into Panasonic after this), then Samsung and $TSM. Just takeaways from Tesla earnings TLDR: Elon tends to be directionally correct on where the future is heading, such as with EV or Space. He seems extremely bullish on humanoids.
- He wouldn't have build a $1T company without pulling off all those moves. - Gets funding from Elon -> Pisses off $TSLA going independent - Gets funding from $MSFT -> Pisses of Microsoft by diluting them with other hyperscaler funding - Gets funding from $NVDA -> Builds their competing chip and funds Cerebras competitors for inference - Works with $AAPL on Apple Intelligence? -> Create their competing devices. - Potential lack of funding? -> Sign a lot of LTAs so the entire industry lives or dies off OpenAI succeeding. Whatever he's doing is working lol.
- Literally just Elon. - The guy + $SPCX is basically the only reason why US is in the lead with Space. - $TSLA led EV commercialization in US He's sometimes off with timeframes, but right directionally, so pretty sure he can make US robotics #1 again. I personally own $CCXI though since I think Agility currently has more pure play exposure for mass production/commercialization through US supply chains + $MELI/ $AMZN.
- Agility Robotics is literally the #1 humanoid player in the US in terms of commercialization today imo. Personal Rankings: 1. Agility Robotics via $CCXI 2. $TSLA Optimus ($1T+ company) 3. Figure at $39B from 2025, likely higher now. With Tesla likely taking the lead a year from now. So at $16, you have a ~$4B MC pre-money humanoid player. Which is already inside $AMZN and $MELI (ideal use cases to start out, before step-functioning to general-use), with $AMZN, $NVDA, Softbank, Foxconn, and others as investors. NFA, but at those valuations... there's direct exposure for the first ever humanoid player today, that's likely further ahead than Figure for commercialization. No hard feelings about Robostrategy, but it's over 4x+ NAV: Which would value Figure at $156B... While there's the #1 commercialized humanoid player with Agility at $4B today. So my personal preference is $CCXI.
- I’m personally long $CCXI and have highest concentration in Agility Robotics (NFA). It’s currently around a ~$4.9B valuation. Figure’s last round was $39B last year, and that was before the increasing interest in humanoids/robotics this year. Then a large part of $TSLA $1T+ valuations come from humanoids. I like companies like LeaderDrive… but usually the downstream players capture the most value in the end. And I find it rare to see one that has public exposure early on.
- I wonder if humanoids is going to spark a new bottleneck/industry for robot cosmetics. Like a skin bottleneck. Or Aespa KPOP robot makeover as a service. So if $TSLA Optimus makes tens of millions of humanoids: Who’s going to make them all look hot?
- For robotics companies, I have a favorable view on Unitree and Agility Robotics, two humanoid players. And I have largest concentration in Agility Robotics, since I personally prefer US humanoid players. For upstream component exposure, I currently own: - Harmonic Drive (6324) given high content BOM on things like harmonic reduction gear. - Vishay Precision for sensors and a possible candidate for Telsa Optimus. LeaderDrive (688017) and Schaeffler I have favorable views on but don't own personally. Many of the other AI DC players, I have indirect exposure to robotics like memory. Don't recommend anyone to copy, just sharing personal positions/thoughts. Humanoid sector is large, and as seen with Goldman Sachs report that "Korean companies will command a 30% direct and indirect share of global humanoid robot production". Lot of players out there globally. This was an older report but just linking it again since you see all of them pop up in GS institutional reports + what they cover. Agility Robotics is my personal favorite as of now.
- Honestly this decade from 2020-2030 might be the most goated in human history. - Scaling massive reusable rockets for orbital compute with $RKLB to $SPCX. - on the cusp of ASI and recursive learning with Anthropic and OpenAI - Backflipping Boston Dynamics and Unitree humanoids to replace the human workforce - Star Wars laser beams from $EOS.ASX to AI DC lasers like $LITE. - Waymo and $TSLA self driving cars everywhere in urban cities - and we get industry Quantum commercialization end of decade This is kinda crazy to be an investor in this timeframe. Feels like every movie from the Star Wars Death Star to Skynet is coming to life. What’s next?
- Robotics is next. Both deal count and investment amounts are skyrocketing per pitchbook March data (source: a16z) Good thing is: the same AI DC exposure often has cross-exposure to humanoid ramp. Like DRAM/NAND with memory (on humanoid inference/storage) or DFB lasers with photonics (FMCW LiDAR vision/sensing). Right now most exposure is upstream component parts… or programs within large players like $AMZN or $TSLA. So global IPO season H2 into 2027 for pure play humanoids/robotics companies is going to be fun.
- Very interesting statement today: $MU CEO predicts a multi-decade memory demand cycle driven by humanoid robots. "Humanoid robots, he says, will require roughly ten times more memory than today’s Level 2+ autonomous vehicles." "And that demand wave is set to begin before the decade is out." Something as well as was "Over time, we expect the value of on-device AI combined with pent-up unit replacement demand to drive memory demand growth" Which is also another trend (Apple Intelligence is currently dog, but I'm sure we'll see innovations with localized/edge AI). Feels like all the industry leaders from $TSM Chairman, $TSLA Elon Musk, to $MU CEO see humanoids as the next major trend so physical AI is probably next. I wonder if the world is going to have enough memory. Or if we'll see enough breakthroughs to shrink memory usage.
- Don’t quite think “siphoned off” is the correct term. It’s capex for massive revenue increase or margin increase down the line. $AMZN is probably my favorite hyperscaler right now and example to give. Amazon’s headcount is absurd, like ~1.57M. If the capex goes into automating their workforce with LLMs. Then transitioning into physical AI: - things from self driving (deliveries) - robotics (Amazon warehouses, shipping automation). + revenue increase from building out AWS compute with Trainium and possibly selling chips too with the Neocloud strat. It’s probably the clearest path forward compared to every hyperscaler out there. $TSLA optimus use case targets is extremely broad as a pitch, but Amazon already has a specific reason to scale robotics for internal opex optimization. As for $GOOGL, probably 2nd right now, AI capex was necessary for defending its Google Search moat Gemini from ChatGPT They also have Google Cloud revenue with efficient TPUs + can sell TPUs like Nvidia GPUs. Gemini user volumes keep going up (despite the lack of contention in frontier benchmarks); and AI strategy to be working for ad optimization too. But there’s less clear paths with physical AI stuff ig? Microsoft and Meta are still trying to convince the market why capex is necessary, (we’re kinda seeing that in effect with Meta’s 30%+ Y/Y revenue growth), but doesn’t look like they’re convinced. As for market narratives, Microsoft Maia seems to be behind, their AI development was stunted from OpenAi investments, so sentiment is kinda in the ground. But think that will change down the road like the 180 with Google. I’m sure all the hyperscalers are seeing the leader effect right now: If you have the leading LLM, people will keep using it. That LLM gets smarter from all the training data; and that gap might be structural. Which is why everyone is kinda rushing the buildout right now, but for some the immediate incentives seem obvious.
- (disclosure: I don't own shares of Leaderdrive, I'm just publishing my research for free). For LeaderDrive, it's a material percentage of every humanoid that gets developed. AGIBot and Unitree has only started to scale up recently, and figures has just reached 10k units shipped (agibot). So P/E valuations would be very high currently since humanoids are not in mass production. Markets are forward looking though. If you think Tesla Optimus, Unitree can mass produce tens of millions or hundreds of millions of robots in the next few years. With trillions of dollars flowing into the humanoid industry. If you have 5% market capture of robot that gets made for the humanoid rollout. That's would command a much higher valuation than Leaderdrive's current marketcap. So LeaderDrive was the robotics player I've identified with the most exposure so far.
- Well $VPG ended up tripling since my thesis post. I got the ASP wrong in my original thesis, was $150 mass production rather than ~$750 midpoint quoted by management. And $TSLA design out risk made me cut concentration. But 3x regardless not too shabby. https://t.co/ksB8ZrnnEg
Ongoing takes on other optical names too
Beyond TSLA, his viewpoint library also covers: