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.
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Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.
The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.
Tesla is sending out this email to New Jersey Tesla owners, warning them that NJ could block autonomous vehicles, and to take action.
“Proposed legislation moving through Trenton right now would impose restrictions so severe that true driverless deployment would remain illegal.… pic.twitter.com/2bmY646AUL
— Sawyer Merritt (@SawyerMerritt) June 16, 2026
According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.
Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.
The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.
In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.
Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.
In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.
Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.
Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.
This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.
As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.
Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
Tesla urges New Jersey owners to oppose new bill that could block Robotaxi
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
