Tesla’s AI Day is here. In a few minutes, Tesla watchers would be seeing executives like Elon Musk provide an in-depth discussion on the company’s AI efforts on not just its automotive business but on its energy business and beyond as well. AI Day promises to be yet another tour-de-force of technical information from the electric car manufacturer. Thus, it is no surprise that there is a lot of excitement from the EV community heading into the event.
Tesla has kept the details of AI Day behind closed doors, so the specifics of the actual event are scarce. That being said, an AI Day agenda sent to attendees indicated that they could expect to hear Elon Musk speak during a live keynote, speak with Andrej Karpathy and the rest of Tesla’s AI engineers, and participate in breakout sessions with the teams behind Tesla’s AI development.
Similar to Autonomy Day and Battery Day, Teslarati would be following along on AI Day’s discussions to provide you with an updated account of the highly-anticipated event. Please refresh this page from time to time, as notes, details, and quotes from Elon Musk’s keynote and its following discussions will be posted here.
Simon 19:40 PT – A question about the use cases for the Tesla Bot was asked. Musk notes that the Tesla Bot would start with boring, repetitive, work, or work that people would least like to do.
Simon 19:25 PT – A question about AI and manufacturing is asked and how it potentially relates to the “Alien Dreadnaught” concept. Musk notes that most of Tesla’s manufacturing today is already automated. Musk also noted that humanoid robots would be done either way, so it would be great for Tesla to do this project, and safely as well. “We’re making the pieces that would be useful for a humanoid robot, so we should probably make it. If we don’t someone else will — and we want to make sure it’s safe,” Musk said.
Simon 19:15 PT – And the Q&A starts. First question involves open-sourcing Tesla’s innovations. Musk notes that it’s pretty expensive to develop all this tech, so he’s not sure how things could be open-sourced. But if other car companies would like to license the system, that could be done.
Simon 19:11 PT – There will really be a “Tesla Bot.” It would be built by humans, for humans. It would be friendly, and it would eliminate dangerous, repetitive, boring tasks. This is still petty darn unreal. It uses the systems that are currently being developed for the company’s vehicles. “There will be profound applications for the economy,” Musk said.
Simon 19:06 PT – New products! A whole Tesla suit?! After a fun skit, Elon says the “Tesla Bot” would eventually be real.
Simon 19:00 PT – What is crazy is that Dojo is not even done. This is just what it is today. Dojo is still evolving, and it is going to be way more powerful in the future. Now, it’s Elon Musk’s turn. What’s next for Tesla beyond vehicles.
Simon 19:00 PT – Venkataramanan teases the ExaPOD. Yet another revolutionary solution from Tesla. With all this, it is evident that Tesla’s approach to autonomy is on a whole other level. It would not be surprising if it takes Wall Street and the market a few days to fully absorb what is happening here.
Simon 18:55 PT – The specs of Dojo are insane. Behind its beastly specs, it seems that Dojo’s full potential lies in the fact that all this power is being used to do one thing: to make autonomous cars possible. Dojo is a pure learning machine, with more than 500,000 training nodes being built together. Nine petaflops of compute per tile, 36 terabytes per second of off-tile bandwidth. But this is just the tip of the iceberg for Dojo.
Simon 18:50 PT – Ganesh Venkataramanan, Project Dojo’s lead, takes the stage. He states that Elon Musk wanted a super-fast training computer to train Autopilot. And thus Project Dojo was born. Dojo is a distributed compute architecture connected by network fabric. It also has a large compute plane, extremely high bandwidth with low latencies, and big networks that are partitioned and mapped, to name a few.
Simon 18:45 PT – Milan Kovac, Tesla’s Director of Autopilot Engineering takes the stage. He notes that he would discuss how neural networks are run in the company’s cars. He notes that Tesla’s systems require supercomputers.
Simon 18:40 PT – Ashok notes that simulations have helped Tesla a lot already. It has, for example, helped the company identify pedestrian, bicycle, and vehicle detection and kinematics. The networks in the vehicles were traded to 371 million simulated images and 480 million cuboids.
Simon 18:35 PT – Ashok notes that these strategies ultimately helped Tesla retire radar from its FSD and Autopilot suite and adopt a pure vision model. A comparison between a radar+camera system and pure vision shows just how much more refined the company’s current strategy is. The executive also touched on how simulations help Tesla develop its self-driving systems. He states that simulations help when data is difficult to source, difficult to label, or in a closed loop.
Simon 18:30 PT – Ashok returns to discuss Auto Labeling. Simply put, there is so much labeling that needs to be done that it’s impossible to be done manually. He shows how roads and other items on the road are “reconstructed” from a single car that’s driving. This effectively allowed Tesla to label data much faster, while allowing vehicles to navigate safely and accurately even when occlusions are present.
Simon 18:25 PT – Karpathy returns to talk about manual labeling. He notes that manual labeling that’s outsourced to third-party firms is not optimal. Thus, in the spirit of vertical integration, Tesla opted to establish its own labeling team. Karpathy notes that in the beginning, that Tesla was using 2D image labeling. Eventually, Tesla transitioned to 4D labeling, where the company could label in vector space. But even this was not enough, and thus, auto labeling was developed.
Simon 18:23 PT – The executive states that traffic behavior is extremely complicated, especially in several parts of the world. Ashok notes that this partly illustrated by parking lots and how they are actually complex. Summoning a car from a parking lot, for example, used to utilize 400k notes to navigate, resulting in a system whose performance left much to be desired.
Simon 18:18 PT – Ashok notes that when driving alongside other cars, Autopilot must not only think about how they would drive, they must also think about how other cars would operate. He shows a video of a Tesla navigating a road and dealing with multiple vehicles to demonstrate this point.
Simon 18:15 PT – Director of Autopilot Software Ashok Elluswamy takes the stage. He starts off by discussing some key problems in planning in both non-convex and high-dimensional action spaces. He also shows Tesla’s solution to these issues, a “Hybrid Planning System.” He demonstrates this by showing how Autopilot performs a lane change.
Simon 18:10 PT – Karpathy’s discussion notes that today, Tesla’s FSD strategy is a lot more cohesive. This is demonstrated by the fact that the company’s vehicles could effectively draw a map in real-time as it drives. This is a massive difference compared to the pre-mapped strategies employed by rivals in both the automotive and software field like Super Cruise and Waymo.
To solve several problems encountered over the last few years with the previous suite, Tesla re-engineered their NN learning from the ground up and utilized a multi-head route, camera calibrations, caching, queues, and optimizations to streamline all tasks.
(heavily simplified) pic.twitter.com/LG2TRgjxip
— Teslascope (@teslascope) August 20, 2021
Simon 18:05 PT – The AI Director discusses how Tesla practically re-engineered their neural network learning from the ground-up and utilized a multi-head route. These include camera calibrations, caching, queues, and optimizations to streamline all tasks. Do note that this is an extremely simplified iteration of Karpathy’s discussion so far.
Simon 18:00 PT – Karpathy covers more challenges that are involved in even the basics of perception. Needless to say, AI Day is quickly proving to be Tesla’s most technical event right off the bat. That said, multi-camera networks are amazing. They’re just a ton of work, but it may very well be a silver bullet for Tesla’s predictive efforts.
Simon 17:56 PT – Karpathy showcases a video of how Tesla used to process its image data in the past. He shows a popular video for FSD that has been shared in the past. He notes that while great, such a system proved to be inadequate, and this is something that Tesla learned when it launched Smart Summon. While per-camera detection is great, the vector space proves inadequate.
Simon 17:55 PT – Karpathy noted that when Tesla designs the visual cortex in its car, the company is modeling it to how a biological vision is perceived by eyes. He also touches on how Tesla’s visual processing strategies have evolved over the years, and how it is done today. The AI Director also touches on Tesla’s “HydraNets,” on account of their multi-task learning capabilities.
Simon 17:51 PT – Karpathy starts off by discussing the visual component of Tesla’s AI, as characterized by the eight cameras used in the company’s vehicles. The AI director notes that AI could be considered like a biological being, and it’s built from the ground up, including its synthetic visual cortex.
Simon 17:48 PT – Elon Musk takes the stage. He apologizes for the event’s delay. He jokes that Tesla probably needs AI to solve these “technical difficulties.” The CEO highlights that AI Day is a recruitment event. He calls Tesla’s head of AI Andrej Karpathy. There’s no better person to discuss AI.
Simon 17:45 PT – We’re here watching the AI Day FSD preview video and we can’t help but notice that… are those Waypoints?!
Simon 17:38 PT – Looks like we’ve got an Elon sighting! And a preview video too! Here we go, folks!
We’ve got an Elon sighting
— Rob Maurer (@TeslaPodcast) August 20, 2021
Simon 17:30 PT – A 30-minute delay. We haven’t seen this much delay in quite a bit.
Simon 17:20 PT – It’s a good thing that Tesla has great taste in music. Did Grimes mix this track?
Simon 17:15 PT – We’re 15 minutes in. “Elon Time” is going strong on AI Day. To be honest, though, this music would fit the “Rave Cave” in Giga Berlin this coming October.
Simon 17:10 PT – A good thing to keep in mind is that AI Day is a recruitment event. Some food for thought just in case the discussions take a turn for the extremely technical. AI Day is designed to attract individuals who speak Tesla’s language in its rawest form. We’re just fortunate enough to come along for the ride.
Tesla Board Member Hiro Mizuno sums it up in this tweet pretty well.
Anybody passionate about real world AI !! https://t.co/ydaWQlkE4O
— HIRO MIZUNO (@hiromichimizuno) August 20, 2021
Simon 17:05 PT – I guess AI Day is starting on “Elon Time?” We’re on to the next track of chill music.
Simon 17:00 PT – And with 5 p.m. PST here, the music is officially live on the AI Day live stream. Looks like we’re in for some wait. Wonder how many minutes it would take before it starts? Gotta love this chill music though.
Simon 16:58 PT – While waiting, I can’t help but think that a ton of TSLA bears and Wall Street would likely not understand the nuances of what Tesla would be discussing today. Will Tesla go three-for-three? It was certainly the case with Battery Day and Autonomy Day.
Made it pic.twitter.com/aAWqxgf0bP
— Johnna (@JohnnaCrider1) August 19, 2021
Simon 16:55 PT – T-minus 5 minutes. Some attendees of AI Day are now posting some photos on Twitter, but it seems like photos and videos are not allowed on the actual venue of the event. Pretty much expected, I guess.
Simon 16:50 PT – Greetings, everyone, and welcome to another Live Blog. This is Tesla’s most technical event yet, so I expect this one to go extremely in-depth on the company’s AI efforts and the technology behind it. We’re pretty excited.
Don’t hesitate to contact us with news tips. Just send a message to tips@teslarati.com to give us a heads up.
Elon Musk
Elon Musk just confirmed the Tesla and SpaceX merger step everyone was waiting for
Tesla and SpaceX formed special committees to weigh a merger, and Elon Musk supports it.
Elon Musk confirmed Tuesday that Tesla and SpaceX have each formed special committees of independent directors to study a possible merger, the first formal step toward combining the two companies after months of speculation.
Musk made the disclosure during SpaceX’s third quarter earnings call. “Both SpaceX and Tesla have formed special committees to discuss this idea at the request of shareholders,” he said. “Because I’m a conflicted party, I can’t actually be in the discussions of the special committees.” He described the setup as “an odd kabuki dance where two groups of people are talking and I can’t be in the conversation.”
Musk did not hide where he stands. “Do I think it would be a good idea? Yes,” he said, pointing to shared work on super intelligence software, chip design, the Terafab facility in Austin, robotics, mass to orbit and connectivity. “I do think there’s a lot of merit to combining the companies as we are pretty much in the super intelligence singularity.”
He also tried to cool expectations. The committees have not agreed on terms for any transaction, and Musk said assuming a merger is a certainty “would be overstating it.” Any deal would go to shareholders, and on the Tesla side it would need approval from 50 percent of all outstanding shares, not just the shares that are voted. Musk called that “quite a high hurdle.”
That bar has tripped Tesla up before. The company’s 2025 attempt to declassify its board won support from only 39.4 percent of outstanding shares and failed. Musk’s own voting stake sits near 20 percent after he exercised his 2018 options in June, so a deal would need broad backing from institutions and a retail base that often leaves votes uncast.
Timing is another open question. Tesla filed its proxy statement Monday for its December 3 annual meeting, and the ballot has only three items: director elections for Musk, Robyn Denholm and JB Straubel, a say on pay vote and auditor ratification. Barclays analyst Dan Levy had argued that an announcement would need to land by late October or early November to make the annual meeting, as Teslarati noted in its SpaceX earnings preview. With no terms agreed, any vote would likely require its own special meeting.
Elon Musk gives his most telling Tesla-SpaceX merger conversation yet
Musk has been edging toward this for weeks. At the All-In Summit in September, he asked “who can imagine what action one might take when there’s so much close collaboration,” Teslarati reported. Last week’s Roadster unveil, built around SpaceX derived cold gas thrusters, pushed the talk further. The two companies already share the Terafab chip project, and Tesla holds a small SpaceX stake that came from its earlier investment in xAI.
SpaceX brought strong numbers to the conversation. It reported Q3 revenue of $14.58 billion, up 161 percent year over year, with its Super Intelligence segment now its largest at $7.56 billion. A higher SpaceX valuation would shape any exchange ratio Tesla holders are offered.
Tesla reports its own third quarter results after the close on Wednesday, October 21. Investors had already ranked merger timing among the top retail questions for SpaceX’s call, and the committees will almost certainly come up again on Tesla’s.
SpaceX reported its third-quarter 2026 financial results on October 20, posting the company’s first solidly profitable quarter since going public earlier in the year under the ticker $SPCX.
Revenue reached $14.58 billion, up 161 percent year-over-year from $5.6 billion, and well ahead of consensus estimates in the $12.7 to $12.9 billion range. The results highlight a rapid shift in SpaceX’s center of gravity toward artificial intelligence/super intelligence, while Starlink and traditional space operations continue to show robust progress.
Here are the key financial results for the quarter:
- Revenue of $14.58 billion (+161% YoY)
- Adjusted EBITDA of $8.8 billion (+306% YoY)
- GAAP net income of $4.4 billion (versus a $1.1 billion net loss in the prior-year quarter)
- Adjusted EPS of approximately $0.35 (versus roughly $0.13–0.16 expected)
- Income from operations of $2.8 billion
The AI/SI segment generated $7.56 billion in revenue, an 830 percent year-over-year increase, making it the company’s largest segment for the first time. Growth was primarily driven by the activation of major cloud services agreements, the integration of Cursor (acquired earlier in 2026), and rising usage of Grok models and the newly introduced Grok Bot personal agent.
🚨 SpaceX just reported earnings! Here are some highlights:
Financial:
Revenue $14.58B (+161% YoY) vs. consensus ~$12.7–12.9B
Adjusted EBITDA $8.8B (+306% YoY)
GAAP net income $4.4B (vs. prior-year loss; first solidly profitable quarter post-IPO)
Adjusted EPS ~$0.35 vs. ~$0.13–0.16 expectedSegments:
Super Intelligence (SI, formerly AI): $7.56B (+830% YoY) — now the largest segment, driven by cloud contracts, Cursor, and Grok.
Connectivity (Starlink): $5.25B (+69% YoY).
Space: $1.77B.Other highlights:
Starlink subscribers: 13.6M (+89% YoY).
Nameplate compute: 1.7 GW.
Capex: $19.6B (majority AI infrastructure).
Cash & marketable securities: ~$90B.
First revenue-generating Starship mission (26 V3 Starlink satellites, ~10× Falcon 9 downlink capacity per launch).— TESLARATI (@Teslarati) October 20, 2026
SI adjusted EBITDA reached $5 billion, and nameplate compute capacity stood at 1.7 GW at quarter-end, up from 1.4 GW in June and 0.6 GW a year earlier. Capital expenditures totaled $19.6 billion, with the majority allocated to AI infrastructure, including continued expansion of the Colossus facilities.
The Connectivity segment, which primarily surrounds Starlink, produced $5.25 billion in revenue, a 69 percent year-over-year and 22 percent sequentially. These are pleasant results to see and expected, considering how many airlines have adopted Starlink over the past year.
Starlink consumer subscribers reached 13.6 million, an 89 percent increase from the prior year, and a sequential gain of 1.6 million. Consumer average revenue per user improved to $69. Meanwhile, Enterprise and Government revenue also grew strongly, and Starlink is now installed on more than 3,800 aircraft, making internet more accessible and better performing than previous options.
The Space segment also performed well and contributed $1.77 billion in revenue, up 6 percent year-over-year and 84 percent sequentially. A major milestone was the successful first revenue-generating Starship mission (Flight 14), which deployed 26 V3 Starlink satellites. Those satellites added roughly 10 times the downlink capacity of a typical Falcon 9 Starlink launch.
SpaceX completed 12 customer launches during the quarter, including NASA’s Nancy Grace Roman Space Telescope mission, and continued to grow its backlog of crewed, national security, and commercial flights.
CFO commentary noted that the combination of launch leadership, recurring Starlink revenue, and rapid SI expansion is producing meaningful operating leverage.
The company ended the quarter with roughly $90 billion in cash and marketable securities, providing substantial resources for ongoing investment while targeting an investment-grade balance sheet. Sequential revenue nearly doubled from the $7.81 billion reported in the second quarter, illustrating the pace of the AI-driven acceleration. Things are looking strong for SpaceX.
What’s incredibly striking is the fact that SI has grown to be larger than the rest of the company in such a short amount of time. CEO Elon Musk said on the earnings call that Grok Bot is the “fastest-growing product I’ve ever seen,” so it seems that it could be a true keystone of SpaceXSI over the next few years.
SpaceX (NASDAQ: SPCX) will report its second public earnings call today since its IPO earlier this year, and there are a few things we expect to hear about, as well as Wall Street analysts, who have already outlined their expectations for the call.
Wall Street analysts have a consensus of $12.72 billion in revenue and an earnings per share (EPS) of $0.13. These are broken down into three sectors: Space, Connectivity, and AI/SI, which are perceived in this way:
- Space: $1.41 billion
- Connectivity: $4.84 billion
- AI/SI: $6.47 billion
Other outlets cluster near $12.8 or $12.9 billion in revenue and $0.14 – $0.15 EPS. This implies a roughly 65 percent sequential growth from Q2’s $7.81 billion, driven mostly by AI/SI, with the first post-IPO positive EPS expected.
Here are the three things to watch for on the call:
AI Revenue Ramp and the $100B+ ARR target
AI is truly the swing factor for SpaceX, and analysts expect it to roughly double from Q2’s $2.56 billion and become about half of total revenue. Management previously guided to a $100 billion+ annualized run rate by December, including the Cursor acquisition, which was $60 billion, to close the quarter.
Listen for updates on SpaceX’s compute capacity, especially pertaining to its contracts with Google, Anthropic, and others, revenue per watt, any new deals, and Cursor’s early contribution.
Starlink/Connectivity Metrics and Mobile Expansion
Connectivity remains a main profit engine for SpaceX. Subscriber additions will be something to pay attention to, as Q2 ended at 12 million and previews are looking at 14 million for this quarter. Additionally, ARPU trends, enterprise and government growth, and any commentary on Starlink Mobile will be something to pay attention to, especially following the recent low-band spectrum deal and FCC-related constellation approvals.
Capex Trajectory, Cash Burn/FCF, and Starship/Operational Updates
Q2 capex of roughly $18.4 billion weighed on the stock. Investors will look to scrutinize Q3 spending levels, any guidance on the pace into Q4/2027, free cash flow, backlog, and liquidity. Operational color on Starship (Flight 14 milestones and Flight 15 timing/reusability progress), Falcon cadence, and government/NASA contracts are also in focus.
Of course, there will also be some speculation on the potential Tesla-SpaceX merger, but there was nothing mentioned in the company’s proxy it sent earlier this week.
SpaceX will report earnings after market close today and will stream the call on X.
Watch live as SpaceX discusses our Q3 2026 earnings at 3:30pm CT today → https://t.co/Qrb0qeVG15
— SpaceX (@SpaceX) October 20, 2026
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