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Tesla is one of the world’s Most Innovative Companies, says noted consulting firm

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The Boston Consulting Group’s 13th annual report, which defines the world’s most innovative companies, has listed California-based electric car maker Tesla as 9th in its rankings. Tesla is the lone automaker that made the group’s Top 10 list, which is dominated by tech companies like Alphabet/Google, Amazon, and Apple.

The group’s full report, titled The Most Innovative Companies 2019: The Rise of AI, Platforms, and Ecosystems, paid particular attention to the use of artificial intelligence and other cutting-edge technologies in the companies that it ranked. A handful of automakers made BCG’s Top 50 rankings, though the group’s analysis concluded that none of Tesla’s more experienced competitors exhibited the same level of innovation over the past years.

Tesla’s place in BCG’s list is understandable considering the company and Elon Musk’s push for the use of AI for both its vehicle production and in the features of its electric cars. This is particularly evident in Tesla’s strategy to achieve full self-driving, as it is bucking the trend by forgoing hardware solutions such as LiDAR and focusing instead on a process that primarily uses AI and cameras to navigate. Tesla’s AI-centric approach has resulted in notable improvements to its Autopilot driver-assist feature, as seen in recent updates such as Navigate on Autopilot and Enhanced Summon.

It is not surprising to see Tesla lead the pack among automakers when it comes to the use of bleeding-edge technology such as artificial intelligence, especially since the company is arguably the most tech-focused carmaker today. This is evident in the deep level of hardware and software integration in Tesla’s electric cars, which is something that other automakers are yet to adopt.

Tesla’s level of innovation over the past years as compared to other automakers. (Credit: Boston Consulting Group)

Traditional auto’s lack of experience in AI is something that was evident in Porsche’s strategy for the coming years. The pedigreed sports car maker is currently dipping its toes into artificial intelligence, though for now, AI is being used primarily for vehicle production. During the recently held annual press conference, the company’s executives were quite conservative when discussing AI as it will be used for its vehicles’ actual capabilities. Porsche is more of a low-volume, niche carmaker, though its AI strategy is likely reflective of the innovations being adopted by Volkswagen, its parent company (VW was ranked as 38th in BCG’s list).

Tesla’s strategy with AI seems to be more of a long-term play, and the past couple of years have been largely spent gathering data from its fleet and training its neural networks. Elon Musk has noted that Tesla’s Full Self-Driving suite will see the rollout of its new features this year, a feat that is only made possible by the company’s commitment to AI.

Boston Consulting Group, Inc. (BCG) is an American management consulting firm that was founded in 1963. BCG advises clients across private, public, and nonprofit organization sectors across the globe, including more than two-thirds of the Fortune 500. BCG is also known for the high bar it sets for applicants, with career review website Glassdoor ranking the firm as the 3rd most difficult company for interviews.

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Simon is an experienced automotive reporter with a passion for electric cars and clean energy. Fascinated by the world envisioned by Elon Musk, he hopes to make it to Mars (at least as a tourist) someday. For stories or tips--or even to just say a simple hello--send a message to his email, simon@teslarati.com or his handle on X, @ResidentSponge.

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Tesla Model Y L’s impressive specs surface in China’s recent MIIT filing

The Tesla Model Y L is expected to launch later this year.

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Credit: Tesla

The specs of the upcoming Tesla Model Y L has appeared in new Chinese regulatory filings, revealing key specifications including a six-seat layout and an extended range of up to 751 kilometers. The variant is expected to launch later this year alongside a new long-range Model 3 variant rated at 830 kilometers.

The updates were listed on the China Ministry of Industry and Information Technology’s (MIIT) latest batch of new energy vehicle models that are eligible for vehicle purchase tax exemptions.

Model Y L to debut with larger battery, six-seat layout

Listed under the model code TSL6500BEVBA0, the Model Y L will feature dual motors producing 142 kW at the front and 198 kW at the rear. It will be powered by a 465-kilogram 82.0-kWh lithium-ion battery from LG Energy Solution, with a pack energy density of 176 Wh/kg, as noted in a CNEV Post report. The long-range crossover achieves 751 km on the lenient CLTC cycle, making it Tesla’s highest-range Model Y to date in China despite its curb weight of 2,088 kg.

The “L” designation is believed to refer to the vehicle’s larger size and seating configuration, as the new variant is listed with six seats. It builds on Tesla’s strategy to diversify offerings in the Model Y lineup, which currently includes both RWD and AWD five-seat versions.

Model 3+ breaks record with 830 km CLTC range

Alongside the Model Y L, Tesla China also registered a new rear-wheel-drive Model 3, which was designated with the model code TSL7000BEVBR1. The vehicle boasts either 800 or 830 km of range on the CLTC cycle, depending on its trim. This marks the highest range yet for any Tesla vehicle in China.

The variant will use a 448-kilogram, 78.4-kWh LG-supplied battery with an energy density of 175 Wh/kg and a peak motor output of 225 kW. The vehicle’s curb weight is listed at 1,760 kg. The model was previously identified in filings as “Model 3+,” hinting at a possible tier above the existing long-range variant, which tops out at 753 km CLTC.

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Elon Musk explains why Tesla stepped back from Project Dojo

The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.

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(Credit: Tesla)

Elon Musk has confirmed that Tesla is stepping back from its Dojo supercomputer initiative and focusing instead on the company’s in-house AI5 and AI6 chips. 

The update was initially reported by Bloomberg News, which cited people reportedly familiar with the matter.

Project Dojo Ends

As per Bloomberg, Peter Bannon, who led Project Dojo, will be departing Tesla following Elon Musk’s decision to shut down the initiative. The publication claimed that Tesla’s Project Dojo team has lost about 20 members recently, and the remaining members of the initiative would be reassigned to other data center and compute projects within Tesla. 

Dojo was expected to help Tesla train its Autopilot and Full Self-Driving systems. With this change, Tesla will reportedly be increasing its reliance on external partners for its training hardware. These partners reportedly include Nvidia, AMD, and Samsung, among other companies.

Credit: Elon Musk/X

Musk Explains Dojo Shutdown

In a series of posts on X, Elon Musk explained that it doesn’t make much sense for Tesla to divide its resources to scale two different chip designs. And since the company is putting in a lot of effort in its AI5 and AI6 chips–which would be used not for training but in actual products like Optimus and the Cybercab–it was time for Project Dojo to take a bow.

“It doesn’t make sense for Tesla to divide its resources and scale two quite different AI chip designs. The Tesla AI5, AI6 and subsequent chips will be excellent for inference and at least pretty good for training. All effort is focused on that.

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“In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude. One could call that Dojo 3, I suppose. The difference in real-world performance between AI4 and AI5 is far more than any chip version I’ve ever heard of by a lot. It’s real good,” Musk wrote in his post.

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Tesla creates clever solution to simplify and improve its Service

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

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Credit: Tesla

Tesla has created a clever solution to simplify and improve its Service. Tesla performs most of the services that are needed on its vehicles at its company-owned Service Centers.

However, service has been a weak point of the company, as some regions have fewer Service Centers than others. This can cause long wait times for Tesla owners in some parts of the country.

There are also instances where customers do not agree with what Tesla is saying about their vehicle. In fact, one instance that revealed this new change Tesla is making to its Service was precisely that.

One owner posted on X that his vehicle’s battery seal had failed after a recall was issued. Tesla insurance and Tesla Service both did not assist, and it took CEO Elon Musk stepping in to get the issue resolved:

Another owner suggested there should be a more streamlined communications process between the customer and the Service Center, a solution that has been missing.

Raj Jegannathan, a Vice President of IT/AI-Infra, Apps, Infosec, and Vehicle Service Operations, revealed that Tesla has started a small pilot program at a few service locations to combat this issue.

Elon Musk wants Tesla Service to fix two-thirds of cars in the same day

Jegannathan said that Tesla has started to share local and regional leader contact information so customers have the ability to reach out when they have complaints or disagree with warranty claims, changes in estimates, or initial diagnostics.

It is available in a handful of locations already, and Jegannathan said that once abuse guardrails are built, this will expand to all locations:

This would be a major improvement in the Service portion of Tesla’s business. There are common disagreements between Service and customers, specifically when Service’s suggestions don’t align with the customer’s beliefs.

When it comes to things like a warranty claim, these issues are not really up for interpretation. Instead, the repairs should be made. If there is a misunderstanding on Service’s side, a simple message from the customer could have resolved the issue. That’s basically what happened here.

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