TSLA Β· Tesla, Inc.Tesla, Inc.
π Speculative thesis that Tesla and SpaceX may merge into a single entity, potentially benefiting TSLA shareholders through exchange for SpaceX shares
Speculative thesis that Tesla and SpaceX may merge into a single entity, potentially benefiting TSLA shareholders through exchange for SpaceX shares.
Evidence & details
- +Majority of actual hardware comes from Chinese companies
- +China has export control switch over that hardware
- β‘Potential export restrictions from China on rare earths or components
- βSupply chain disruption if China imposes export controls
Chart
Post Timeline Β· 5 posts
@RonDeSantis Hi Ron, so there's two different parts to it: 1. Hyperscalers ( $ORCL, $META, $AMZN): They're spending more than they have with profit ( $GOOGL is the rare exception, and $AAPL isn't really spending much relatively). So markets are worried less worried it's translβ¦
Thesis: General discussion of hyperscaler AI spending, supply chain vulnerabilities, rare earth dependency, and geopolitical risks without specific actionable thesis on any ticker.
@ChunkOfTheStars Tesla does the design. Majority of the actual hardware comes from Chinese companies like Sanhua China has the export control switch over that hardware. https://t.co/zb26qZroKq
Thesis: Tesla's hardware supply chain is heavily reliant on Chinese companies like Sanhua, giving China export control leverage over Tesla's production scaling.
@Adam_a_Dias You can manufacture the most advanced robot prototypes at $TSLA or Boston Dynamics. But when you try and scale it up, China has control because of rare earths dominance.
Thesis: Scaling humanoid robots is constrained by China's rare earths dominance, impacting US companies like TSLA and Boston Dynamics.
$PLTR has extreme premiums with more than triple digit forward p/e. It would make a little bit more sense if they can keep compounding like that under a Trump administration. But the biggest risk factor I see that people aren't factoring in is administration shift to Democratβ¦
Thesis: PLTR's triple digit forward P/E and political sensitivity pose risk if administration shifts to Democrats, removing insider premium for government contracts.
@Bonek2801 Risk management purposes. Iβd rather hold 50% in Bitcoin around $70K than sit on cash to lower volatility. Also the downside risk of $VPG is $TSLA creating their own sensors and vertically integrating it away. Similar bear case with $GOOGL and OCS with $LITE though.
Thesis: Downside risk for VPG from TSLA vertical integration; similar bear case for LITE with GOOGL.
TSLA has poor fundamentals but Elon Musk may pump the stock price, making it a speculative buy.
source βThe author provides ratings (Strong Buy, Buy, Sell, Strong Sell) with brief explanations for each stock. Overall sentiment is mixed: bullish on names like RDDT, SNAP, AMZN, ETOR, NBIS, LTC and several others with specific catalysts; bearish on TSLA, CRCL, PLTR, BMNR, and quantum/AI hype stocks as overvalued or cult-like.
source βWaymo (GOOGL) dominates robotaxi with Level 4, while Tesla's FSD is Level 2 and requires human monitoring, making it snake oil; competition with Avride+Uber is key.
source βComparative analysis of NBIS and TSLA robotaxi approaches: NBIS has more mature L4 system with LiDAR/radar launching commercially, while TSLA has L2 supervised but bets on vision-only AI scaling.
source βThe post compares Level 4 readiness of NBIS (Avride) and GOOGL (Waymo) vs TSLA's Level 2 FSD, highlighting that TSLA's claims are marketing while competitors already have working systems. It acknowledges TSLA's scalability advantages but notes current operational shortcomings.
source βPost-Fed rate cut analysis provides stock ratings with explanations: Strong Buy on stablecoin, semi, and growth plays; Buy on AI infrastructure and select recovery plays; Avoid on overvalued or fundamental-less stocks.
source βOverview of 10 thematic investments for 2026, focusing on evolution, disruption, and bottlenecks in soft robotics, silicon photonics (InP bottleneck), glass substrates, money movement (disruption to card networks), AI cloud layers, LLM cybersecurity, LEO space infrastructure, consumer agentic workflows, distributed computing latency, and copper interconnect life extension. Expresses bullish views on specific companies and bearish on incumbent payment networks Visa and Bank of America.
source βTesla's Optimus robot supply chain moving to China with local suppliers could reduce costs from >$100K to <$45k, threatening US robotics supply chains.
source βOpenAI memo to Congress warns that US must expand power grid to maintain AI advantage, reiterating tailwind for energy and power delivery companies, and second-order tailwind for companies with secured GW capacity.
source βThe 1 million job revision signals a permanent structural shift due to AI/automation, not a slowing economy. Corporate profits will explode as companies replace human labor with AI and robotics. Investors should buy AI supply chain equities to hedge against unemployment and benefit from margin expansion.
source βElon's ties with Trump could accelerate regulatory approval for FSD and SpaceX launches, and provide tax benefits.
source βTesla's hardware supply chain is heavily reliant on Chinese companies like Sanhua, giving China export control leverage over Tesla's production scaling.
source βAmazon is underrated in robotics due to immediate practical upside from lowering opex and headcount via automation; Tesla and other general purpose robotics companies should also perform well.
source βSpeculative thesis that Tesla and SpaceX may merge into a single entity, potentially benefiting TSLA shareholders through exchange for SpaceX shares.
source β