News
Tesla’s liquid-cooled charging connector patent paves way for the Semi’s Megachargers
A recently published patent application from Tesla suggests that the electric car maker is continuing in its efforts to improve its already-stellar Supercharger Network. The design outlined in the document, which features a liquid-cooled charging connector, can potentially pave the way for a more ambitious charging infrastructure, perhaps one that can specifically cater to the all-electric Semi’s Megacharger Network.
During the all-electric truck’s unveiling, CEO Elon Musk mentioned that the Semi will be able to replenish as much as 400 miles of range in as little as 30 minutes thanks to a network of Megachargers. Neither Musk nor Tesla provided the specs of the Megacharger during the vehicle’s unveiling, though speculations were high that network might provide a power output that is several times more powerful than the company’s Supercharger V2 Network, which had an output of around 120 kW then (Supercharger V2 stations have since been improved to 150 kW).
Being a large vehicle, the Semi requires a lot of power for its charging needs, involving the rapid transfer of mass amounts of electricity in a very short period of time without encountering any heating issues. This is a key concept outlined by Tesla in its recently published patent, titled “Liquid-Cooled Charging Connector,” which involves the use of a liquid cooling system on a charging connector itself. Tesla describes its concept in the discussion below.
“To transfer energy faster and decrease charging times, the cable and charging connector must be capable of withstanding high current loads. Current charging connectors are limited in the current loads that they can support as their ability to dissipate heat is limited. Thus, there is a need for a new charging connector to solve the aforementioned problems.
“The present disclosure related to a new charging connector. The charging connector has a first electrical socket and a second electrical socket. A first sleeve is concentrically coupled to the first electrical socket and a second sleeve is concentrically coupled to the second electrical socket. A manifold assembly encloses the first and second electrical sockets and the first and second sleeves, such that the first and second sleeves and manifold assembly create a hollow interior space there between. The manifold assembly has an inlet conduit and an outlet conduit such that inlet conduit, interior space, and outlet conduit together create a fluid flow path.
“Cooling fluid flows through the fluid flow path and cools the charging connector. During operation, the cooling fluid bifurcates into a first fluid stream which flows around the first sleeve, and a second fluid stream which flows around the second sleeve. The first and second fluid streams combine upstream of the outlet conduit. The first sleeve encloses the first electrical socket, and the second sleeve encloses the second electrical socket. The cooling sleeves are made from a thermally conducting material such that heat generated by electrical sockets can be removed by the cooling fluid. In embodiments, this thermally conducting material is a thermally conductive plastic material.”
Tesla notes that its liquid-cooled supercharger connector does not only allow faster charging; it also makes the routing of wires in a charging connector much more efficient. This means that Tesla’s Supercharger connectors could eventually be smaller and more compact despite being capable of greater output. An example of this appears to be hinted at by Supercharger V3’s liquid-cooled cables, which are smaller and more compact than those used in Tesla’s V2 Network.
“Cooling fluid absorbs thermal energy from heat in the electrical sockets 404, 406. Sleeves 410, 412 are made of a thermally conducting, electrically insulating material. Heat from the electrical sockets 404, 406 is transferred to cooling fluid through sleeves 410, 412. After flowing around hollow interior space 416, the first fluid stream 804 and the second fluid stream 806 combine together upstream of outlet conduit 514 and flow outside of manifold assembly 414 through outlet conduit 514. Cooling fluid flowing out of manifold assembly 414 through outlet conduit 514 may be received by a reservoir (not shown) which may provide for heat exchanging arrangements. A heat exchanger may be provided to take away heat absorbed by cooling fluid. After rejecting absorbed heat, the cooling fluid may be recirculated back to inlet conduit 512 for further cooling of charging connector 210.
“FIG. 9 shows another component included by charging connector 210. A Printed Circuit Board Assembly (PCBA) 902 is thermally coupled to charging connector 210. In embodiments, PCBA 902 is a two-part structure. A first part of PCBA 904 is coupled to charging connector 210 such that the first part of PCBA 904 sits on top of electrical sockets 404, 406. A second part of PCBA 908 is connected to the first part of PCBA 904 through a rigid-flex PCB construction, or other similar interconnects. The two-part structure of PCB A 902 allows for a more efficient routing of electrical wires of charging connector 210, and overall size of charging connector 210 may be conveniently reduced.”
-
Tesla’s Superchargers are among the fastest and most expansive electric vehicle charging infrastructures in the auto industry. In keeping with its spirit, the company has made it a point to never stop innovating, as exhibited by the company’s debut and ongoing ramp of its Supercharger V3 Network. This could ultimately pay off for Tesla, whose lead in the electric vehicle race might potentially increase even more.
Such innovations appear to be required of the company, especially with the rollout of ambitious EVs such as the Semi, a vehicle with a different charging infrastructure compared to Tesla’s existing lineup of electric cars. That being said, Tesla nevertheless deserves credit for pushing the envelope and staying on top of its innovations. In the electric vehicle race, after all, a liquid-cooled charging connector could end up making the difference between the fast-charging capabilities of the Tesla Semi and rivals from Daimler and Nikola.
A link to the full text of Tesla’s liquid-cooled charger connector patent could be accessed here.
Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
-
None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
-
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
-
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
-
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Tesla has one big financial question to answer for investors: Morgan Stanley
