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Ford used Alaska’s trickiest terrain to test the F-150 Lightning’s all-season capability
Ford is preparing for the first deliveries of its all-electric pickup the F-150 Lightning this Spring. As Ford moves closer to bringing the electric version of its popular pickup series to market, the company has been assessing the vehicle’s performance in some of the most challenging settings, ensuring customers will enjoy the top-notch capabilities the F-series has offered for decades. The F-150 Lightning spent two weeks with Ford engineers in Alaska, providing the vehicle with some of its toughest and trickiest tests to date.
Ford, which saw an over 55 percent increase in electric vehicle sales in February, took its new all-electric pickup to the coldest portions of the frozen Alaskan tundra, assessing the pickup’s performance on low-traction surfaces like snow and ice. The environment also provided another challenge: extremely cold temperatures, which are not always friendly to electric powertrains.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
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- Preproduction model with optional equipment driven under test conditions. Professional driver on closed course. Do not attempt. 2022 Ford F-150 Lightning production begins spring 2022.
“Alaska provides us the extremely cold temperatures, snow and ice-covered surfaces that we need to push the F-150 Lightning in this type of testing, which is really focused on dialing-in how the truck delivers its power to the ground on slippery surfaces,” Cameron Dillon, an F-150 Lightning powertrain engineer, said. “Customers may not regularly see minus 30-degree mornings like we are seeing here, but they will see winter cold, snow, and icy roads, and they should feel confident their F-150 Lightning is ready for all of it.”
“Alaska provides us the extremely cold temperatures, snow and ice-covered surfaces that we need to push the F-150 Lightning in this type of testing, which is really focused on dialing-in how the truck delivers its power to the ground on slippery surfaces,” Cameron Dillon, an F-150 Lightning powertrain engineer, said. “Customers may not regularly see minus 30-degree mornings like we are seeing here, but they will see winter cold, snow, and icy roads, and they should feel confident their F-150 Lightning is ready for all of it.”
Ford says it performed low-mu testing, an evaluation of an all-electric powertrain and how it adjusts power delivery to the wheels on low-traction surfaces. Snow, ice, and cold temperatures all contribute to the removal of traction from normal driving surfaces like concrete and asphalt. Alaska was an ideal choice, especially as it offered extreme scenarios of what the truck will see on a daily basis.
Ford took six pre-production units of the F-150 Lightning to Alaska for the testing, it said. It also tested the pickup’s performance on a variety of winter weather conditions, including loose and packed snow, half ice-half concrete, and complete ice. The F-150 Lightning’s ability to sense wheel slip and adjust power to the wheels within the blink of an eye helps improve handling. The advantages are just another feature of electric powertrains, Nick Harris, another F-150 Lightning powertrain engineer, said.
“F-150 Lightning in the snow is a very different ballgame compared to gas vehicles. The responses are extremely quick and the dual motors make it as if you have two engines pumping out power in one vehicle. A lot of our work is to coordinate the two motors to work together to best deliver torque to the ground, so that customers who drive in the snow and ice ultimately feel very confident.”
“F-150 Lightning in the snow is a very different ballgame compared to gas vehicles. The responses are extremely quick and the dual motors make it as if you have two engines pumping out power in one vehicle. A lot of our work is to coordinate the two motors to work together to best deliver torque to the ground, so that customers who drive in the snow and ice ultimately feel very confident.”
The electric F-150 Lightning has six standard benefits that all can be attributed to the use of an electric powertrain, rather than a gas-powered one:
- Standard dual motors front and rear
- Standard always-on 4×4
- Quick torque delivery
- Standard electronic-locking rear differential
- Selectable drive modes
- Low center of gravity for even more confident handling
Ford also can adjust the calibration to help make quick adjustments to the vehicle, making testing more efficient. While the team spent just two weeks in Alaska’s extreme conditions, Ford says the F-150 Lightning Powertrain team also dedicated numerous testing sessions in Michigan’s Upper Peninsula, Borrego Springs, Johnson Valley, and at Ford’s Michigan Proving Grounds near Romeo.
The F-150 Lightning will begin customer deliveries this Spring. Ford recently split its EV and combustion engine operations into two “divisions.” The electric side is known as Model e, while combustion engine projects will fall under the Ford Blue division.
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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
