RAM has promised big things for its upcoming electric pickup truck, the RAM 1500 REV, though specifications have yet to be released.
Superior range, payload, towing, and charge time; that was the message from RAM when it revealed the name of its first production electric truck, the RAM 1500 REV. This message was echoed in RAM’s Super Bowl commercial that poked fun at “Premature Electrification” (PE) concerns. But without releasing the specifications of its upcoming truck, it remains unclear if the historic American truck can achieve its new herculean task.
RAM has yet to release any information about the RAM 1500 REV, other than its design and release date of “late 2024,” shown in its first-ever Super Bowl commercial. However, looking at the current competition, you can get a good idea of what specs RAM is aiming for.
One of the most critical factors a consumer will look at when buying an EV is the vehicle’s range, so it is no wonder RAM is promising to lead in the category. To achieve this and upset the current range leader in electric pickups, the Rivian R1T, the RAM 1500 REV would need to be able to go more than 328 miles on a single charge; no small task for Stellantis’ first EV in the United States.
Second, if the REV is going to have a superior payload, it will need to put up numbers almost equal to the current gas variant RAM. The Ford F150 Lightning leads electric trucks, having a payload of 2,235 pounds, while the gas-powered RAM 1500 has capacity for only 100 pounds more.
Towing, a massive challenge for any electric truck, could be a particularly difficult challenge for Stellantis engineers if their truck is to be a leader in the segment. While the Ford and Rivian trucks have towing capacities of 10,000 and 11,000 pounds, neither has been able to do so while towing for any considerable distance, a concern that is even addressed in RAM’s own Super Bowl ad. From the testing done by various sources on both the Lightning and the R1T, anything more than 100-120 miles of range while towing could make the 1500 REV a leader in its class.
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As if these three tasks weren’t enough, RAM is promising to be a new leader in charge time, a crown that will certainly need to be battled for thanks to Ford’s impressive 30-40 minute 10-80% charge time.
This leads us to the question; are these achievements remotely possible? There are a couple of reasons to believe they are.
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- Credit: RAM Trucks
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- Credit: RAM Trucks
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- Credit: RAM Trucks
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- Credit: RAM Trucks
First, suppose RAM can build its first EV on an 800/900-volt architecture. In that case, the drivetrain’s efficiency and charging time could improve dramatically, allowing the 1500 REV to hit many of the targets listed above. This is especially the case compared to the 400-volt architecture used within the current electric trucks on the market.
Second, if RAM can source higher efficiency motors, it may be able to circumvent issues of range, though it may face problems regarding power to move over 11,000 pounds when towing.
Third and potentially the most likely, RAM could opt to fit a gargantuan battery into its first electric truck. With a massive battery pack of over 150 kWh, the 1500 REV would benefit from increased range and increased power thanks to the battery’s ability to meet higher power needs. Though, with such a massive pack, the RAM 1500 REV would suffer in the weight department, potentially decreasing its payload and towing capabilities.
Whether RAM achieves its design goals or not, the added competition in the electric vehicle market is always welcome. Though RAM isn’t introducing its first EV as quickly as many would have hoped, with such high goals, it may be worth waiting for. Though with competition on the horizon, Stellantis will need to work quickly if it hopes not to be left behind.
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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
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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.”
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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.
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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.
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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
