TSLATesla Inc
0Bull0Bear5Mention
8-10 confidence views use larger markers▲ Bull▼ Bear● Mention
View History (5, newest first)
- 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