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The Tesla Semi’s butterfly effect will change the face of heavy-duty freight routes
In a recent interview, Auke Hoekstra, a researcher at Eindhoven University of Technology and an electric vehicle expert, explained how battery-electric trucks like the Tesla Semi could end up dominating heavy-duty freight routes in regions like Europe. According to the EV expert, weight and range limitations that are usually associated with electric vehicles may very well be quite irrelevant when it comes to the real-world use of the electric long-haulers.
While addressing questions from Clean Energy Wire, Hoekstra explained that skeptics of vehicles like the Tesla Semi often take the hardest business case that a diesel truck is able to manage. An example of this is a multi-day trip with a team of two drivers who cover thousands of kilometers in one trip. The EV expert explained that while traditional diesels still hold an advantage against their battery-electric competition in this scenario, this edge disappears when one looks at the greater trucking market.
“My research in the Netherlands has revealed that 80% of trucks – even the really big rigs, the semis – travel 750 kilometers per day at the very most, and many cover far shorter distances. That’s because if you want to cover more kilometers, things become very expensive very quickly, because you have to pay overtime, etcetera. So, in general, you can’t make a driver do more than 750 kilometers per day. Therefore, this is the range you have to hit with about 80 percent of trucks.
“Additionally, almost all trucks return to base at the end of the day – which creates ideal conditions for charging. We still have this romantic idea that truckers are on the road for weeks on end, away from home. But this scenario has become relatively rare. Most truckers simply move stuff from Rotterdam port to Venlo, halfway to Germany’s Ruhr area, to take an example from home… Many truckers do this sort of trip a couple of times per day, and then return home. So, you can charge the vehicle overnight at a default location. This means you don’t have a chicken and egg problem – you can arrange for the infrastructure and for the truck at the same time,” the EV expert remarked.
Interestingly enough, Elon Musk has recently remarked that Tesla is looking to release the Semi with a range that falls well within Hoekstra’s numbers. While speaking at the European Battery Conference, Musk stated that he believes it is feasible to achieve 800 kilometers of range for the Semi quite easily, and he also sees a path, over time at least, for the Class 8 truck to achieve an even more impressive 1,000 kilometers per charge. Such numbers can go a long way towards shifting the market’s perception of all-electric long-haulers and their limitations. Hoekstra, for his part, noted that such a scenario has already happened before with the original Tesla Roadster.
“I do remember that in the car market, things really changed when the Roadster hit the market. That really changed the conversation. It changed the whole perception of electric vehicles. The conventional wisdom back then was that you can only use them on short distances in the city. And suddenly this car appeared, and everything was possible.
“Within the next couple of years, we’ll see the first Tesla semi-trucks on the road. This will have a similarly huge impact on the conversation about electric trucks. You can just point to it and say: “Look, it’s moving there, and it is doing 800 kilometers.” Suddenly, all those people who say ‘it cannot be done’ within truck companies will hear their boss replying: ‘Well, our competitor can do it – so you will have to do it, too.’” Hoekstra said.
What’s quite remarkable is that this is not even the most exciting part of the Semi’s butterfly effect on the trucking sector. If the Tesla Semi finds solid footing in the trucking market in the same way the Model 3 found a good niche among premium midsize sedan buyers, a “Tesla Effect” of sorts could happen on the trucking market. This could come in the form of other battery-electric trucks being developed for the long-haul market. This should, in turn, result in a massive innovation push from several truck makers, similar to what is happening now with companies like Tesla, Lucid, Rivian, and veterans like Ford and GM in the consumer EV segment.
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In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
