Behind the video
Why 2026 is the LAST NORMAL Year for Tesla, SpaceX and Humanity
Overall Thesis
Jo argues that Tesla shares have substantial upside from an anticipated merger premium and eventual large-scale Cybercab deployment. He also sees exceptional AI compute demand and potential distributed inference opportunities, while emphasizing execution bottlenecks and political risks.
Narratives
TSLATeslaJo expects merger discussions to lift Tesla shares and believes a transaction would require a premium of at least 30% over the prevailing stock price. He also expects large-scale Cybercab deployment to drive a substantial stock reaction, with energy storage and distributed inference representing additional speculative business opportunities.
Key Arguments
- Public discussion of independent merger committees could cause investors to price in a previously unrecognized premium.
- Jo places the implied merger value around $500–$550 from the current reference price and describes $650 as the corresponding value if shares first reach $500.
- Cybercab deployment and proof of scalable operations are presented as the principal standalone drivers of Tesla shares.
- Cybercabs and energy infrastructure might support distributed inference workloads and materially increase earnings.
- Tesla's AI chips, charging infrastructure and energy storage could complement one another.
Risks acknowledged
- Merger terms must survive independent negotiation and extensive litigation.
- Relative company valuations could change before a transaction.
- Jo explicitly says the Cybercab deployment tipping point could arrive in December or at the end of the following year.
- Reaching approximately 2,000 deployed vehicles by year-end is possible but uncertain.
- Inference capacity comparisons are improvised and lack confirmed technical conversion ratios.
NVDANvidiaJo portrays Nvidia as a strong operator with scarce, highly demanded compute hardware. His discussion concerns chip supply, customer execution and future orbital hardware rather than Nvidia's share-price direction.
Key Arguments
- Jo expects Nvidia and its infrastructure partners to deliver orbital compute hardware on schedule.
- He argues that large customers with demonstrated deployment ability can receive priority access to scarce chips.
- Compute demand is described as exceptionally strong, with infrastructure deployment limiting monetization.
Risks acknowledged
- Customer ability to build usable infrastructure remains a bottleneck.
- Long-run compute economics depend on uncertain pricing.
- Some supply-allocation claims in the conversation are explicitly rumors.
CRWVCoreWeaveJo is cautious about neocloud investments because strong demand does not solve construction delays and financing costs. CoreWeave is discussed as an example of the sector's execution challenge, without a clear prediction that its shares will decline.
Key Arguments
- The speakers describe data-center construction timelines as lengthening.
- Jo argues that delayed capacity incurs substantial interest expense before producing adequate revenue.
- Fast infrastructure deployment is presented as a more important competitive advantage than simply having customer demand.
Risks acknowledged
- Jo explicitly agrees that compute demand is more than sufficient.
- His stance is expressed as bearishness, caution or nonparticipation in a broad sector rather than an unambiguous CoreWeave stock call.
METAMeta PlatformsJo includes Meta among companies he considers dramatically undervalued after the recent AI-related selloff. This supports a favorable valuation narrative, but he provides no distinct Meta price target or explicit forward return claim.
Key Arguments
- Jo describes the AI bubble concern as mistaken.
- He cites valuation ratios, particularly PEG ratios, as supporting perceived undervaluation.
- He expresses strong optimism about the broader investment cycle.
Risks acknowledged
- He allows for approximately another week of market volatility.
- The discussion provides little company-specific valuation detail.
- Political constraints on AI infrastructure remain a broader industry risk.
Hedges & Caveats
- The proposed merger, its timing and its premium are the speakers' expectations rather than established transaction terms.
- Independent committees, litigation risk and changing relative valuations complicate a merger.
- The timing of a large Cybercab deployment and the resulting stock reaction is explicitly uncertain.
- Distributed inference economics are speculative; Jo says he lacks the exact technical ratios.
- Compute investment economics depend on spot compute prices holding up.
- Permits, power, cooling and construction speed can constrain AI infrastructure growth.
- Political intervention and taxation could reduce investors' realized gains.