Tesla is set to deliver its highly-anticipated all-electric Semi today for the first time. Will the truck live up to the hype?
Roughly two months ago, CEO Elon Musk announced Tesla would deliver the Semi to Frito Lay locations in California following the vehicle’s acquisition of an EPA Certificate of Conformity. Tesla and Musk had previously teased the ‘imminent’ arrival of the Semi for several years, but the hype of this year can only be slightly equated to the energy that Tesla and Frito Lay expressed last year: both had confirmed deliveries in December 2021, only for the trucks to never make it to their destination.
Fast forward a year, and what has changed? For starters, last year, Tesla did not earn an EPA certification for the Semi, which is required by law. The fact that Tesla finally received this certification and set up a special delivery event in Nevada can only lead Musk’s loyal believers and even skeptics to believe that the Semi is finally here, and it seems that it really is.
Excited to announce start of production of Tesla Semi Truck with deliveries to @Pepsi on Dec 1st! pic.twitter.com/gq0l73iGRW
— Elon Musk (@elonmusk) October 6, 2022
Now that the Semi is finally here, or will be in a few hours from when this article is published, the real questions begin to surface: Will it really change the trucking industry? How does the Semi match up to Class 8 EVs already on the market? How long will it take to get one?
Will it really change the trucking industry?
The Tesla Semi is no doubt a huge development in the world of EV trucking. Will it change the industry? If it can live up to its astronomical range predictions, which are rumored to be around 500 miles when pulling an 81,000-pound load, it surely can raise the bar for competitors. The currently offered EV trucks on the market from Volvo, Freightliner, and Nikola offer significantly less in terms of range on a full charge. However, many of these trucks are geared toward local or regional logistics.
The Semi is definitely different than the others. A breakdown of the Semi vs. other trucks on the market below will break it down further. Where Tesla has set itself apart from competitors is in terms of tech, and just looking at the Semi, you know it’s different from the rest. The throne is set in the center of the cabin, dual monitors will track data and analytics for performance while offering basic features like navigation. Whether it is better or not, well, we’ll have to wait for some trucking experts drive it for a while.
How does the Semi match up to Class 8 EVs already on the market?
The Volvo VNR’s highest-range trim is its 6×4 Tractor, which packs 275 miles of range when configured with its six-battery offering. It also is capable of regenerating between 5 and 15 percent of its energy through braking. It has a top speed of 68 MPH, and is an ideal fit for “Local distribution and regional transportation with planned routes and frequent stops,” especially food service delivery, Volvo said. This may be why McDonald’s Canada ordered a few.
The Freightliner eCascadia just was delivered for the first time this week, with Penske commemorating first deliveries. This truck packs a 230-mile range rating with its top-of-the-line offering. Freightliner only offers a day cab, and with the range specs, it would also be ideal for local or regional deliveries. Its 80 percent charging in 90 minutes will keep deliveries going without much of a delay.
Nikola’s Tre offers 330 miles of range, the most impressive number thus far. Nikola has ramped up production of the Tre recently to reach 75 units in Q3. Arguably the best competitor to the Tesla Semi, the Tre may not offer charging speeds as fast as the eCascadia (80 percent charge in 160 minutes), but its impressive range ratings make it more applicable for longer routes.
The Semi offers the best of all of these, along with a 500-mile range rating, according to recent tests performed by Tesla. At first glance, the Semi just seems like a market-leading version of most Class 8 EVs on the market. Tesla still leans on self-driving and autonomous trucking as where the Semi will truly set itself apart from competitors. It may be some time before truckers can let the Semi drive them between hubs.
For what it’s worth, we received several emails from readers who were skeptical of the 500-mile claim from Musk. We were asked several times whether the trip was taken on a single charge.
How long will it take to get a Tesla Semi?
Tesla Semi production could reach 100 units this year, company Chair Robyn Denholm said. Next year, Tesla wants to build 50,000.
The potential production rate of 50,000 units is nothing to bat an eye at. However, Tesla has some big plans for 2023, and they include ramping Cybertruck production at Gigafactory Texas, a potential revamp of the Model 3 in Fremont, and more production in Germany and China. The Semi will undoubtedly reach higher production rates next year, but it will be difficult to scale production of a fresh vehicle this quickly.
Battery availability also comes into question, as it was the issue that kept the Semi from being built two years ago when Musk announced volume production would kick off. Tesla is building a lot of cars and using a lot of batteries. We know Tesla isn’t using the 4680 cell for the Semi, which means the much more widely available 2170 cell will not limit the Semi’s production rate, at least not in my estimation.
How long it takes to get a Semi is purely reliant on how fast Tesla can scale production. Tesla has typically done a good job of scaling its passenger vehicles, but the Semi is a different animal.
Tesla’s Semi Delivery Event will take place this evening at Gigafactory Nevada in Reno.
Disclosure: Joey Klender is a TSLA Shareholder.
I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email 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.
News
Tesla Cybercab launch preparations have begun
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
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.
Elon Musk
Elon Musk says he ‘hopes AI is nice to us’
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.
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.
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.
