V15 may be the key technical step before Tesla scales Robotaxi aggressively. But I wouldn’t take regulation out of the equation.
Even if FMVSS 135 is updated soon, Cybercab still has broader federal compliance questions and state-by-state deployment approvals to clear.
V15 is a gate Tesla can unlock itself. Regulation and deployment approvals are the gates it doesn’t control.
🚨 Tesla’s biggest Robotaxi catalyst may not be Cybercab or regulation..
It could be FSD v15!
The jump is huge: roughly 10B parameters vs. about 1B in v14.
Elon and Ashok have both pointed to V15 as the key step before Tesla can really scale the fleet.
Early v15 builds are already running in Robotaxis, and Ashok hinted the next major merge could help unlock 24/7 service.
That’s the real unlock!
More hours on the road → more rides → better economics → faster fleet growth.
If v15 delivers, @Robotaxi could move from a limited rollout to something much bigger very quickly.
$TSLA
@herbertong V15 may be the technical unlock for scaling Robotaxi. But regulation and deployment approvals are the real gatekeepers. Tesla controls the software roadmap. It doesn’t control when those gates open.
AI is changing more than efficiency. It is expanding the productive capacity of the economy.
Individuals and businesses are the basic cells of economic activity. For individuals, AI already makes it possible for one person to research, write, translate, analyze, and create visuals—work that once required multiple specialized skills. For businesses, LLMs + agents + Codex are turning many internal tools from “buy software, hire an outsourcing firm, or build an engineering team” into “we can build this ourselves.”
Traditional SaaS companies will adapt too. One path is the PDE model: go deeper into the customer’s business and use AI to deliver highly customized solutions, rather than simply selling standardized features.
When AI lowers the barrier for both individuals and businesses to create new products, services, and workflows, the impact goes beyond cost savings. It unlocks economic activity that previously never happened because it was too expensive, too difficult, or simply not worth doing.
If AI really can lift U.S. potential GDP growth meaningfully, this may be one of the most important transmission mechanisms.
@tslaming An Alphabet-style structure could solve the “who acquires whom” problem.
But I’m less convinced a firewall solves the underlying asset conflict. Washington and Beijing would both have to decide that legal and operational separation is enough.
They may not.
I wonder how much of that 80% reflects the actual cost of making a merger work.
Shanghai alone is a huge question. Giga Shanghai is one of Tesla’s most important manufacturing and export hubs. Combining Tesla with a major U.S. defense contractor could create an entirely new set of geopolitical and regulatory complications.
Synergies are easy to see. I’m less sure the costs have been priced in.
Tesla and SpaceX are already collaborating across AI, energy, chips, manufacturing and connectivity. The synergies are becoming hard to miss.
But there’s a paradox here: the deeper they can collaborate without merging, the higher the bar for a merger becomes.
Existing synergies don’t automatically justify a merger. The real question is what additional value can only be unlocked by becoming one company — and whether that value is worth the cost.
So far, the collaboration case looks strong. The merger case still needs to be made.
GOOD NEWS 🚨 In a latest research note, Morgan Stanley views the deepening alliance between Tesla and SpaceX as the operational blueprint for the next frontier: Physical AI 🔥
With large language models hitting diminishing returns, the firm argues that AI value creation over the next decade will pivot toward real-world execution. The winners will build, power, connect, and deploy intelligent hardware at scale. Under their shared goal to turn energy into intelligence, Tesla and SpaceX act as two halves of a single flywheel: Tesla provides the physical body, while SpaceX supplies the compute and connectivity soul 🆒
That convergence is already driving heavy infrastructure. The silicon roadmap centers on 'Terafab', a reported $119 billion joint chipmaking initiative with Intel in Texas to secure proprietary silicon 🤝
Tesla Energy has also become the primary power layer for Musk's broader compute ambitions. SpaceX has funneled hundreds of millions into Tesla Megapacks and batteries, including roughly $506 million in Megapacks to power the Colossus supercluster, alongside $131 million in vehicle purchases such as the Cybertruck. On software, both engineering teams are jointly developing 'Macrohard,' an internal agentic AI platform 😇
The industrial overlap spans supply chains and materials. Both companies are targeting 100 GW of vertically integrated domestic solar capacity while sharing technical breakthroughs in specialized alloys, gigacasting, and welding ⚡️
Connectivity ties these physical assets together. Tesla is integrating Starlink terminals across its vehicle fleet, beginning with the Cybercab, ensuring Robotaxis maintain reliable data links even in cellular dead zones 📡
The financial alignment is already formalized. Following the xAI-SpaceX transaction, Tesla holds roughly 18.99 million Class A shares of SpaceX, representing just under 1% of total equity 💰
This creates a clear two-way value exchange. SpaceX provides Tesla with massive compute capacity (modeled at 4.9 GW by late 2027 and 15.3 GW of terrestrial compute by 2031), low-latency satellite connectivity, and balance-sheet liquidity. In return, Tesla supplies SpaceX with Optimus robots as edge-data nodes, real-world spatial training data, microgrid storage, and automotive-scale manufacturing 😎
As embodied intelligence displaces pure software plays, Morgan Stanley views this combined industrial footprint as uniquely insulated from digital-only bottlenecks. The bank reiterated its Overweight rating on SpaceX with a $300 price target and maintained a $400 price target on Tesla 🚀
These two things can happen at the same time. Companies can spend more on AI software while spending less on labor.
The real question isn’t whether AI software spending goes up. It’s how much labor cost each dollar of AI spending can replace.
If that number keeps growing, rising software revenue and job cuts may simply be two sides of the same shift.
Everyone from L1 to L7 may now be talking to AI and pressing Enter.
But the depth of that conversation reflects the depth of their thinking.
The difference between L1 and L7 didn’t disappear. It moved into the conversation. And the huge gap in what they’re paid is the price of that difference.
@TeslaAaronL FSD is smart enough to be genuinely useful and efficient, while also being a model rule-follower on the road. That combination makes it safe.
And once people experience it for themselves, the product becomes its own best salesman.
@IndemInsure The really interesting one may come with autonomous fleets: how do you price insurance when the “driver” is software?
Cybercab could make that a very real question.
@Biggs237 Congrats! I think Tesla will surprise you.
I switched from a Nissan Sunny to a Model Y in 2021. The leap in both electrification and intelligence was unlike anything I’d experienced before.
I tend to think that even if the $8 million deal had gone through, it might only have delayed SpaceX by a few years.
Buying a Russian rocket would have solved one Mars Oasis mission. But the bigger problem Musk eventually wanted to solve was: why is access to space so expensive?
As long as that problem remained, I think he would eventually have moved from buying rockets to building them.
The failed Moscow deal may have changed the timeline, not the destination.
I think Apple’s access incentives can have a much stronger influence on smaller creators. But established creators face another powerful incentive: their own credibility. Their audience is watching too. If they become uncritical cheerleaders, people can simply stop listening.
That’s why I’m not convinced this necessarily creates an echo chamber. Apple doesn’t prevent creators from criticizing its products, and we certainly don’t see uniformly glowing coverage from major creators.
Access may create an incentive. But independence is still a choice.
Your other concern is worth taking seriously, though. If creators start self-censoring just to preserve access, that can absolutely make genuinely independent content harder to find. But ultimately, I think that’s something creators themselves need to think carefully about.
@andiliu I actually took a closer look at this question — why 2027 could be the tipping point for AI’s impact on GDP, and what it would actually take to get above 4%.
Have a look if you’re interested 👇
https://t.co/02FssxX7ub
AI. Transportation. Space. Life.
Four very different frontiers, all with the potential to improve human life.
This is exactly why I have so much respect for Elon Musk.
This is the side of Elon Musk and his companies which you will rarely see in the news and documentaries.
• Starlink - September 19, 2026 - Starlink connected a surgeon near Lagos to a patient 500 km away in Abuja for West Africa’s first tele-robotic surgery, removing a cancerous kidney.
• Tesla - November 15, 2025 - During John Brandt’s heart attack, his son remotely rerouted his FSD-enabled Model Y to an ER. Doctors said the quick arrival likely saved his life.
• SpaceX - January 15, 2026 - Crew Dragon safely brought Crew-11 home early during NASA’s first medical evacuation from the International Space Station.
• Grok - December 2025 - A Norwegian patient said Grok urged him to return to the ER for a CT scan, which found an appendix close to rupturing before surgery.
• Neuralink - September 18, 2026 - Terry, an ALS patient, used Neuralink to speak in a reconstruction of his own voice and tell his wife, “I love you.”
• Starlink - September 10, 2026 - During Hurricane Lowell in Kauai, Starlink provided 200+ kits to responders and free service to new and existing customers.
• Tesla - April 2, 2024 - FSD drove MaxPaul Franklin 13 miles to a VA hospital after an insulin-pump failure caused a diabetic emergency and mild heart attack.
• Starlink - June 5, 2026 - Starlink provided 150 kits to Africa CDC, helping teams detect Ebola cases faster and coordinate frontline operations in Ituri, DRC.
• Starlink - June 24–28, 2026 - After Venezuela’s twin earthquakes, Starlink provided free service while 42 terminals helped people contact relatives and coordinate aid.
• Tesla - February 19, 2026 - After Rishi Vohra passed out on a freeway, his Cybertruck slowed down, activated its hazards, pulled over.
• Starlink - July 18, 2026 - A surgeon in Salvador remotely removed a kidney tumor from a patient 2,320 km away in Campo Grande during the Americas’ first Starlink-enabled telesurgery.
• Neuralink - 2024–2026 - Alex designs 3D CAD parts and plays games; Brad types, edits videos and uses his cloned voice; Nick controls a robotic arm to feed himself; Mike continues working; RJ and Lee control phones, computers and TVs through thought.
And these are only a few examples. There are many, many more cases like these.
Exactly. I touched on this in the article.
FSD could reduce driver workload, while the Semi itself gives drivers a much better working environment.
That matters beyond comfort. In an industry where recruiting and retaining drivers is difficult, owning Semis can itself become a recruiting advantage for fleet operators.