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.
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“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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What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Elon Musk
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
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Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
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Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
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Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
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The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
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Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
