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Adoption of Tesla’s electric truck will be driven by regulation
It’s expected that the commercial trucking industry will begin to transform in the same way that the passenger automotive industry has. Fuel efficiency has become a new priority and electrification is now the go-to plan for achieving higher MPGs in heavy trucking. In much the same way that regulations pushed trucking towards lower pollution at the expense of efficiency in the 1970s, today’s trucking paradigm is seeing a push for more efficiency. At what expense?
A new report from Ravi Shanker at Morgan Stanley urges investors to consider electric and self-driving commercial trucking as an opportunity. Shanker says that regulations and economics will drive the industry towards electrification and autonomous technologies. The analyst says that this could happen as early as 2020, which is when new federal fuel economy regulations on heavy-duty vehicles begin to really gather steam. Although efficiency gains will be had with electrification and self-driving, Shanker makes it clear that this will be secondary to the demand created by regulatory pressure.
As usual, we look to California for a glimpse of what could be coming. California’s Sustainable Freight Action Plan calls for 100,000+ zero-emissions trucks to be on the road by 2030 in that state. There is debate as to whether this plan is realistic, but federal standards are also playing a large role. The U.S. Environmental Protection Agency (EPA) and the National Highway Traffic Safety Administration (part of the federal Department of Transportation) have proposed emissions and fuel economy standards for heavy-duty vehicles. The first of these began with the 2014 model year.
For our purposes, the regulations affecting “combination tractors” (aka “tractor-trailer” or “18 wheeler”) models are pertinent. The 2018 standards are relatively loose and most in the industry believe they are achievable, but the EPA and NHTSA have proposed further standards to begin in 2021, with incremental increases thereafter through to 2027. The goals are largely aimed towards lower CO2 emissions with reductions of about four percent (depending on the vehicle type) being the goal. The reduction is not the issue with industry insiders, however, it’s the test cycle to be used, which some argue is less realistic and which disfavors other emissions that also have requirements to be met. This Phase 2 of the federal efficiency standards for heavy trucks is not yet finalized, but will very likely be the driving force behind national changes in trucks.
Equating these changes into standard numbers that the general public would understand is difficult. Heavy-duty trucks can range in fuel efficiency from 20 mpg or better down to 2-3 mpg. For most tractor-trailer combinations, MPG averages of 4-9 mpg are the norm, depending on load, tractor type, and area of operation. Most analysts calculate efficiency using fuel use in tons per mile with a relatively long distance (100-500 miles) being the average. Using this method, for example, in my time driving a tractor pulling a refrigerated trailer across all 48 states, my fuel economy average was about average for that sector of the industry at roughly 60 ton-miles per gallon. Today, these numbers are slightly higher, according to the latest U.S. Transportation Energy book. Using this method of calculation, a 2015 Toyota Prius is about a third as efficient at moving freight as was my truck.
This doesn’t mean there isn’t room for improvement, of course. There are more companies than Tesla working towards deleting the smoke stacks from big trucks.
In Europe, Volvo trucks is working hard towards a zero-emissions (at the tailpipe anyway) trucking solution with several approaches being tested. An overhead tram-like charging system has been deployed for a short stretch of highway in Sweden, aiming to improve plug-in trucks’ range in EV mode. Short-haul battery electrics and two different versions of autonomous (or semi-autonomous) systems are also being tested.
Here in the States, Volvo’s Mack Trucks is working on a handful of electrification options for heavy-duty drivetrains. So is Daimler (Freightliner, Western Star in the U.S.). Startups like Nikola also have eyes on this electric trucking future. Other startups have hoped to get into the mix as well, but the failure rate is high with companies like Smith Electric, Vision Industries, and Boulder Electric having designed and marketed innovative commercial truck options that ultimately never caught on.
Meanwhile, the largest maker of electric heavy vehicles is Chinese maker BYD, who branched out from making gadget batteries into building electric buses, trucks, and more. They are currently filling contracts internationally for buses and trucks in places as disparate at California, Malaysia, and Europe. BYD builds battery-electric, hydrogen fuel cell electric, plug-in hybrid, and hybrid drivetrains and machines for several commercial market sectors.
So we can guarantee that changes to the trucking industry are coming, but no one can say how fast or how much change that will be. Current federal regulations will drive the industry forward until 2018 and it’s likely that new standards will be in place to keep carrying change forward after that. California’s ambitious plans for adopting electric trucks will be largely regulation and incentive driven, but that has down sides as well. Many of the startups we’ve seen who’ve created electrified big rigs or delivery trucks ultimately failed when the incentives began to dry up.
For Tesla, this could mean that the financial case for the Tesla Semi will need to be more economics-based and less dependent on single market, incentives-based plans. This means that Elon and Co should be looking beyond California and it’s 100,000 vehicle plans into a broader market. We’ll discuss the potential economic case for a Tesla Semi in a future editorial.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
