News
Ford study shows pickup truck electrification has substantial greenhouse gas reduction rate
Ford and University of Michigan researchers conducted a new study that evaluated the savings in greenhouse gas emissions in battery-electric pickup trucks relative to gas-powered pickups. It also assessed the reductions in other light-duty vehicles when compared to their gas-powered counterparts.
According to the study, sedan, SUV, and pickup truck battery-electric vehicles have approximately 64 percent lower cradle-to-grave life cycle greenhouse gas emissions than the same vehicles with combustion engine powertrains. On average, replacing a traditional gas engine with an electric powertrain can save up to 74 metric tons of carbon dioxide over the lifetime of a vehicle, the study says.
Automakers are utilizing the transition to electrification as a main strategy to combat rising greenhouse gas emission rates. Ford says light-duty vehicles, including sedans, SUVs, and pickup trucks, are currently responsible for 58 percent of the United States transportation sector’s emissions. Pickups made up 14 percent of light-duty vehicle sales in the U.S. in 2020, with increases in the sales of SUVs and pickups since that data was released, meaning more emissions are released every year.
Ford is one of the most committed automotive companies in terms of transitioning to electrification. The Mustang Mach-E, which hit the market first for Ford, has quickly become one of the best-selling EVs in the United States. Last year, it trailed only the Tesla Model Y in the all-electric crossover sector. The F-150 Lightning, Ford’s electrified take on its popular pickup truck series, is set to begin deliveries this Spring. Additionally, Ford has started shipping the E-Transit to fulfill commercial demands, including one 1,110-unit order for Wal-Mart.
Ford’s Farley commits to 600k units in 22 months: ‘I think we’re one of the first to scale’
The study gave more evidence that transitioning to electric powertrains is more sustainable than gas-p0wered options, especially from the vehicle’s first mile to its last.
“This is an important study to inform and encourage climate action. Our research clearly shows substantial greenhouse gas emission reductions that can be achieved from transitioning to electrified powertrains across all vehicle classes,” Greg Keoleian, a professor at the University of Michigan School for Environment and Sustainability, said. Keoleian was the study’s senior author.
The Study
Researchers conducted a cradle-to-grave life cycle assessment of pickup tucks and compared it to an assessment of electrified versions of pickups, sedans, and SUVs. The study used three different model year 2020 powertrain options, including ICE engine vehicles, hybrid-electric vehicles, and battery-electric vehicles. The study looked at midsize sedans, midsize SUVs, and full-size pickups, accounting for differences in fuel economy, annual mileage, vehicle production, and vehicle lifetime across vehicle classes.
“This study expands upon previous studies that have focused on comparing battery-electric vehicle sedans to their internal-combustion-engine or hybrid counterparts,” Keoleian added. “We report emissions for vehicle production, use, and end-of-life stages on a per-mile basis and over the total vehicle lifetime. In addition, we analyzed the regional variation in emissions considering differences in electricity grid mixes and ambient temperatures, and we also explored the effects of the rate of grid decarbonization on emission reduction.”
Researchers found that switching to an electric vehicle results in great total tonnage of emissions reductions as the vehicle size increases. This is due to greater fuel consumption from larger-classed vehicles.
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“Though the percentage savings is approximately the same across vehicle classes, on average replacing an internal-combustion-engine sedan with a battery-electric sedan saves 45 metric tons of carbon dioxide equivalent, replacing an internal-combustion-engine SUV with a battery-electric SUV saves 56 metric tons of carbon dioxide equivalent, and replacing an internal-combustion-engine pickup with a battery-electric pickup saves 74 metric tons carbon dioxide equivalent over the lifetime of the vehicles,” Max Woody, Center for Sustainable Systems Research Specialist, said. Woody is listed as the study’s first author.
Researchers also concluded that BEV manufacturing has larger emissions rates than ICE vehicle manufacturing. Battery-electric sedans had a breakeven time of 1.2 to 1.3 years, while SUVs sat at 1.4 to 1.6 years, and pickups sat at 1.3 years, based on the average U.S. grid and vehicle miles traveled, the study said.
Officially published on March 1 in the journal Environmental Research Letters, the full study is available here.
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Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
