A new report shows that commercial vehicles are much higher polluters than passenger vehicles despite making up a much smaller portion of cars on U.S. roads. For this reason, the study’s authors say the U.S. should prioritize electrifying the commercial vehicles sector rather than just focusing on passenger vehicles.
PepsiCo- and KPMG-backed software logistics company Adiona Tech shared the Connected Thinking report on Tuesday, which suggests that last-mile combination trucks be electrified as soon as possible to help fight CO2 emissions. The company says that all urban deliveries of groceries, parcels, furniture and other goods should be performed by electric vehicles (EVs) by 2025.
“Commercial vehicles are a much bigger polluter than passenger cars and they are in desperate need of modernization,” Adiona writes in the report. “Large combination trucks are just 1 percent of vehicles on the road, but they produce 18 percent of vehicle emissions.”
The study compared Bureau of Transportation Statistics figures from 2019 to those of 2020 and 2021, looking at vehicle miles driven by passenger cars and trucks, along with their associated emissions. What it found was that emissions decreased significantly in 2020 and 2021, while truck miles and their associated emissions increased above 18 percent of road traffic emissions.
Sources: Connected Fleet data; BTS, fuel consumption by mode, additional combination truck stats, additional car stats, additional single-axle truck stats. Credit: Adiona Tech
The report included several key findings, notably including that the average fuel consumption of combination trucks is roughly 20 times higher than that of a passenger vehicle. The report also says that switching just five of these combination trucks to green alternatives — such as hydrogen fuel cells or lithium batteries — would be comparable to the effects of buying EVs for 100 households.
While the average truck drives about 22,930 miles annually, the report notes that large combination trucks travel an average of 59,929 miles in the same period, and single-unit trucks only average 12,278 miles annually.
According to data sourced from the Bureau of Transportation, light-duty vehicles with a short wheelbase have an average fuel consumption of 481 gallons per year, compared to 640 gallons consumed on average by light-duty vehicles with long wheelbases, and 1,639 gallons on average by single-unit, two-axle trucks with six tires or more. However, the data also shows that combination trucks consume an average of 9,909 gallons annually.
In a press release, Adiona Tech CEO Richard Savoie highlights the need to prioritize larger freight in the fight against carbon emissions, beginning with those that travel the most.
“America needs to aggressively decarbonize the biggest emitters on the road, large freight and delivery vehicles,” Savoie said in the release. “The US automotive industry is at a crossroads, but it needs to act now to electrify every car on the road. Doing so requires connected thinking and collective action. We cannot transform the national fleet of nearly 300 million vehicles overnight, so we need to make decisions that make the biggest difference, for the lowest effort first.”
The passenger vehicle sector has adopted EVs much more quickly than others, as several automakers have now followed Tesla’s lead in building fully electric vehicles. While electrifying every car is still an important goal, Savoie explains, it shouldn’t be the only one.
“Frankly, the data shows that consumer adoption of EVs should not be America’s number one priority,” Savoie said. “Electrifying fleets is by far the most efficient way to reduce vehicle emissions. Every battery we put in a combination truck counts for 20 households buying an EV, and businesses often have fleets of hundreds of vehicles.”
“We must prioritize the electrification of these vehicles that are on the road most, travel the longest distances, and are the least fuel-efficient,” Savoie added.
Several companies have begun piloting or at least stated plans to purchase electric last-mile delivery vehicles, including FedEx, Amazon, Walmart and more.
Adiona Tech backer PepsiCo is one of the first companies to have begun electrifying its semi-truck fleet after purchasing an initial batch of Tesla Semis last year. A recent event showed some serious range results for the Semi, and PepsiCo detailed last month how the truck was helping it reach its own sustainability goals.
You can read the full report from Adiona Tech here.
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Elon Musk has acknowledged that early discussions with Taiwan Semiconductor Manufacturing Company (TSMC) could bring the company into his ambitious Terafab semiconductor project, signaling a possible partnership with the world’s leading contract chipmaker.
Musk confirmed that early talks are underway, but as of right now, they are “just discussions.” There is no confirmation of a deal nor dismissal of the possibility of one, leaving open the prospect of one of the largest advanced-chip collaborations under discussion in the U.S.
@wholemars Just discussions, but something may come of it
— Elon Musk (@elonmusk) October 3, 2026
The report that speculated on potential discussions between Terafab and TSMC comes from Tim Culpan, who outlined a few ways the collaboration could operate. One is TSMC using the project as an “anchor customer” for future facilities in Texas, potentially contributing process expertise, operational know-how, or capacity while Terafab provides capital, long-term purchase commitments, or both.
Tesla and SpaceX jointly developed the Terafab project, with Intel already participating on the tech side. Elon Musk announced the project in March, and it intends to produce more than one terawatt of AI compute capacity annually once fully built.
Company statements place the first phase at approximately $16.8 billion in cost, with later filings pointing to a total that could reach well into the tens of billions across multiple stages.
Intel joined the effort in April 2026 and is expected to supply its 14A manufacturing process for the full-scale plant.
Musk has said existing suppliers, including Samsung and TSMC, remain important for near-term needs; Tesla already has production arrangements with Samsung for AI5 and AI6 chips, but that future demand from Optimus robots, Cybercab vehicles, and planned space-based data centers will eventually exceed what the global industry can currently deliver.
Terafab is positioned as the long-term answer to that projected shortfall, and Tesla did something similar during COVID to avoid a chip shortage. This is just a much larger-scale solution.
If the partnership were to materialize, it would add TSMC’s industry-leading strategies to a project that already combines Tesla’s and SpaceX’s capital and offtake with Intel’s process technology. For now, the only public confirmation is Musk’s brief acknowledgement that conversations are occurring.
Tesla’s early strategy for charging units operating within its Robotaxi fleet reveals that the company surely has not lost any of that scrappy DNA that took it from an unlikely success story to the most valuable carmaker in the world.
An observer at a Tesla Supercharger in Austin spotted ten total Robotaxi vehicles arrive: one Cybercab and nine Model Y units. A Tesla employee was waiting at the lot and allowed each unit to park itself; every car that arrived had nobody in it.
Tesla wins FCC approval for wireless Cybercab charging system
The Tesla employee would walk around and plug each car in, adjusting the parking if needed:
So look at what I found. This is how Tesla charges unsupervised robotaxis at a public supercharger. Here is a driverless Cybercab showing up with no one in it. There are 9 other Model Ys that showed up too. A Tesla employee is walking around and plugging each of them in. She also moves the cars if they are not positioned well enough to charge. I love this process. One person charges multiple robotaxis at once
— Abhimanyu Yadav (@WorldlyReviewer) October 3, 2026
It’s a very interesting strategy, but extremely understandable at this early point in the Robotaxi program. It’s only been out for about 15 months, and Cybercab just entered the fleet in early September.
On top of that, Tesla is still working tirelessly on its wireless charging apparatus, and a new patent was just published regarding that product last week.
However, this is just another example of how Tesla still has plenty of that scrappy DNA leftover from the “production hell” days, when CEO Elon Musk slept on the floor of the factory, employees were working crazy hours, Tesla was building Sprung Structures to build cars in, and the company was tiptoeing on the brink of bankruptcy.
@Teslarati Sheer magnitude of the entire production system is hard to appreciate. Almost every element of production is >75% automated. Only wire harnesses & general assembly, which are <10% of production costs, are primarily manual.
— Elon Musk (@elonmusk) October 12, 2020
For now, Tesla is utilizing a simple system for recharging its ride-hailing vehicles, and that is a Tesla employee doing it manually until another solution presents itself. Sure, it’s not the most high-tech thing, and it certainly is not what people might have expected at this point in time, but it works, and it’s keeping the entire suite running.
Tesla is expanding its Robotaxi service hours by pushing the time back by one hour, keeping the ride-hailing service operational until 11 p.m., one hour later than previously.
CEO Elon Musk confirmed the change and offered a specific reason the expansion has been gradual: the system still needs to reliably avoid small pets that are difficult to see after dark, as they commonly blend into the color of the road, especially when they’re grey.
The latest adjustment restores only a fraction of the operating window the service once held. When paid Robotaxi rides began in Austin on June 22, 2025, vehicles ran from 6 a.m. to midnight.
In September 2025, Tesla lengthened the day to a 2 a.m. close, producing a 20-hour window that stayed in place for most of the following year. By early August of this year, the cutoff had already been pulled back; an August 26 update formalized hours of 6 a.m. to 10 p.m. across Austin and several other markets.
The October move to 11 p.m. therefore leaves the Austin day one hour shorter than the original launch schedule and three hours shorter than the 2025 peak.
Musk addressed the constraint directly after the announcement. “The main thing we’re trying to solve is making sure that we don’t run over pets when they’re hard to see at night,” he wrote. “Literally trying to avoid grey kittens on grey tarmac in the dark.”
Robotaxi operating hours moved from 10pm to 11pm.
The main thing we’re trying to solve is making sure that we don’t run over pets when they’re hard to see at night. Literally trying to avoid grey kittens on grey tarmac in the dark.
— Elon Musk (@elonmusk) October 3, 2026
The example points to a low-contrast perception problem in which a small animal can blend into the road surface under limited lighting.
Tesla’s vehicles rely on cameras and neural-network processing rather than lidar; Musk has previously argued that advanced vision software can extract useful information even in low light by analyzing photon counts, but the pet-detection case remains the stated limiter in later hours.
The modest schedule change arrives alongside faster growth in the purpose-built Cybercab fleet. Texas registration data tracked by observers showed the Austin Cybercab count rising sharply in recent weeks, reaching 169 vehicles after more than 100 were added in a short span.
Tesla has indicated that a broader shift toward 24-hour operation is tied to the upcoming FSD v15 software release expected this month on Robotaxi vehicles. Until that capability is validated for the edge cases Musk described, the company continues to add service time incrementally rather than jumping straight to overnight coverage.
The one-hour extension gives Austin riders a later option for evening trips while the underlying detection work continues.
Elon Musk teases TSMC as potential Terafab partner
Tesla reveals early Robotaxi charging strategy, showing scrappy DNA
