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Tesla Semi, all-electric trucks get scathing criticism from auto tech expert
The Tesla Semi might be receiving a lot of interest from companies and the electric vehicle community as a whole, but an automotive technology expert from Germany is not that impressed. In a statement, Chair of Automotive Engineering at the Technical University of Munich Markus Lienkamp criticized all-electric trucks like the Tesla Semi, stating that such vehicles are pretty much pointless in the economic and ecological sense.
“The battery for a Tesla Semi must have a capacity of about 1000 kWh, per 100 kilometers about 130 kilowatt-hours. This is technically not easily feasible and it’s also pointless both economically and ecologically,” he said.
Lienkamp’s scathing criticism comes on the heels of a study from Transport and Environment, a consortium of European environmental organizations that conducted a study comparing the energy consumption and environmental costs of conventional diesel trucks and their all-electric counterparts. Two diesel trucks were used for the study: one with an average consumption of 33 liters per 100 kilometers (around 7 mpg) and a more aerodynamic truck with a consumption of 22 liters per 100 km (10.69 mpg).
The results of Transport and Environment’s study found that diesel trucks consume between 2.2-3.3 kilowatt-hours per kilometer, far above the consumption of an average electric truck, which requires 1.44 kWh per km. Electric vehicles that are designed from the ground up for maximum efficiency such as the Tesla Semi require just 1.15 kWh per km. The study’s authors concluded that overall, using all-electric trucks reduces energy consumption by a factor of 1.5-2.9.
All-electric trucks surpass diesel trucks in terms of efficiency as well. The study revealed that a diesel truck engine has an efficiency of 20-45% on long-haul routes and a measly 10% in city traffic. In comparison, electric trucks have a 90% efficiency for long routes and 75% in urban traffic. Lienkamp is not convinced, arguing that the source of the electricity used by vehicles like the Tesla Semi affects efficiency.
“The efficiency of the electricity mix used for the truck battery is important. If the energy comes from a gas-fired power plant, for example, the overall efficiency quickly drops back to 40%. If, on the other hand, 80% to 90% of the electricity comes from renewable sources, as planned in the EU for 2040, long-distance trucks would be attractive from an ecological point of view,” he said.
The authors of the study maintained that electric trucks are cheaper to repair and maintain simply because they have fewer moving parts. Even brakes will rarely need replacing, thanks to systems like regenerative braking. While these are compelling advantages, Lienkamp stated that “for distances of 500 kilometers and beyond, battery-powered trucks simply won’t make any economic sense until 2030,” adding “with electric vehicles, the cost of trying to reduce CO2 levels is simply too high.”
It should be noted that the Tesla Semi, at least in its upcoming iteration, is not designed to enter the long-haul market that is dominated by trucks that can go over 1,000 miles in one full tank. Rather, the Tesla Semi is designed to compete in short-range routes that range from 300-500 miles. From this perspective, it becomes difficult to argue against the Tesla Semi.
The Tesla Semi is a Class 8 truck, and with its four Model 3-derived electric motors, the all-electric long-hauler is capable of sprinting from 0-60 mph in just 5 seconds without a trailer. With a full load, the Semi can reach highway speeds in 20 seconds, far quicker than conventional diesel trucks. The Tesla Semi is currently undergoing real-world tests, in preparation for its production, which is expected to start either this year or sometime in 2020.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
News
Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Elon Musk
Elon Musk: Tesla could be first to build AGI in humanoid form
Musk’s statement was shared in a post on social media platform X.
Elon Musk predicted that Tesla could become one of the developers of Artificial General Intelligence (AGI) in humanoid form. Musk’s statement was shared in a post on social media platform X.
In his post, Musk stated that “Tesla will be one of the companies to make AGI and probably the first to make it in humanoid/atom-shaping form.”
The comment comes as Tesla expands development of its Optimus humanoid robot.
During Tesla’s Q4 earnings report, Elon Musk stated that production of the Model S and Model X would be phased out at its Fremont, California, facility. The vehicles’ production line will then be converted to a pilot line for Optimus. Tesla is looking to produce 1 million units of the humanoid robots annually to start.
Musk has previously stated that Optimus could eventually function as a von Neumann probe. The concept, proposed by mathematician John von Neumann, describes a machine capable of replicating itself using planetary resources and sending those replicas to other worlds.
Optimus would likely only be able to achieve this potential if it manages to achieve Artificial General Intelligence.
Other leaders in the AI sector have also expressed strong expectations about AGI’s potential. Demis Hassabis, CEO of Google DeepMind, recently spoke about the technology at the India AI Impact Summit 2026, as noted in a Benzinga report.
“It’s going to be something like ten times the impact of the Industrial Revolution, but happening at ten times the speed,” Hassabis said.
Elon Musk’s recent comments about Tesla producing a product with AGI could hint at further collaboration among his companies. So far, Tesla is actively pursuing autonomous driving, but it is xAI that is pursuing AGI with its Grok program.
Considering that Elon Musk mentioned a Tesla humanoid product with AGI, it appears that an Optimus robot running xAI’s AI models could become a reality.
xAI had recently merged with SpaceX, though reports suggest that Elon Musk is also considering an even bigger merger for all his companies, including Tesla.
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
Tesla to discuss expansion of Samsung AI6 production plans: report
