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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.

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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.

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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Elon Musk

Tesla confirmed HW3 can’t do Unsupervised FSD but there’s more to the story

Tesla confirmed HW3 vehicles cannot run unsupervised FSD, replacing its free upgrade promise with a discounted trade-in.

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tesla autopilot

Tesla has officially confirmed that early vehicles with its Autopilot Hardware 3 (HW3) will not be capable of unsupervised Full Self-Driving, while extending a path forward for legacy owners through a discounted trade-in program. The announcement came by way of Elon Musk in today’s Tesla Q1 2026 earnings call.

The history here matters. HW3 launched in April 2019, and Tesla sold Full Self-Driving packages to owners on the understanding that the hardware was sufficient for full autonomy. Some owners paid between $8,000 and $15,000 for FSD during that period. For years, as FSD’s AI models grew more demanding, HW3 vehicles fell progressively further behind, eventually landing on FSD v12.6 in January 2025 while AI4 vehicles moved to v13 and then v14. When Musk acknowledged in January 2025 that HW3 simply could not reach unsupervised operation, and alluded to a difficult hardware retrofit.

The near-term offering is more concrete. Tesla’s head of Autopilot Ashok Elluswamy confirmed on today’s call that a V14-lite will be coming to HW3 vehicles in late June, bringing all the V14 features currently running on AI4 hardware. That is a meaningful software update for owners who have been frozen at v12.6 for over a year, and it represents genuine effort to keep older hardware relevant. Unsupervised FSD for vehicles is now targeted for Q4 2026 at the earliest, with Musk describing it as a gradual, geography-limited rollout.

For HW3 owners, the over-the-air V14-lite update is welcomed, and the discounted trade-in path at least acknowledges an old obligation. What happens next with the trade-in pricing will define how this chapter ultimately gets written. If Tesla prices the hardware path fairly, acknowledges what early adopters are owed, and delivers V14-lite on the June timeline it committed to today, it has a real opportunity to convert one of the longest-running sore subjects among early adopters into a loyalty story.

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Elon Musk

Tesla isn’t joking about building Optimus at an industrial scale: Here we go

Tesla’s Optimus factory in Texas targets 10 million robots yearly, with 5.2 million square feet under construction.

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Tesla’s Q1 2026 Update Letter, released today, confirms that first generation Optimus production lines are now well underway at its Fremont, California factory, with a pilot line targeting one million robots per year to start. Of bigger note is a shared aerial image of a large piece of land adjacent to Gigafactory Texas, that Tesla has prominently labeled “Optimus factory site preparation.”

Permit documents show Tesla is seeking to add over 5.2 million square feet of new building space to the Giga Texas North Campus by the end of 2026, at an estimated construction investment of $5 billion to $10 billion. The longer term production target for that facility is 10 million Optimus units per year. Giga Texas already sits on 2,500 acres with over 10 million square feet of existing factory floor, and the North Campus expansion is being built to support multiple projects, including the dedicated Optimus factory, the Terafab chip fabrication facility (a joint Tesla/SpaceX/xAI venture), a Cybercab test track, road infrastructure, and supporting facilities.

Credit: TESLA

Texas makes strategic sense beyond the existing infrastructure. The state’s tax structure, lower labor costs relative to California, and the proximity to Tesla’s AI training cluster Cortex 1 and 2, both located at Giga Texas and now totaling over 230,000 H100 equivalent GPUs, means the Optimus software stack and the factory producing the hardware will share the same campus. Tesla’s Q1 report also confirmed completion of the AI5 chip tape out in April, the inference processor designed specifically to power Optimus units in the field.

As Teslarati reported, the Texas facility is intended to house Optimus V4 production at full scale. Musk told the World Economic Forum in January that Tesla plans to sell Optimus to the public by end of 2027 at a price between $20,000 and $30,000, stating, “I think everyone on earth is going to have one and want one.” He has previously pegged long term demand for general purpose humanoid robots at over 20 billion units globally, citing both consumer and industrial use cases.

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Investor's Corner

Tesla (TSLA) Q1 2026 earnings results: beat on EPS and revenues

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Credit: Tesla

Tesla (NASDAQ: TSLA) reported its earnings for the first quarter of 2026 on Wednesday afternoon. Here’s what the company reported compared to what Wall Street analysts expected.

The earnings results come after Tesla reported a miss on vehicle deliveries for the first quarter, delivering 358,023 vehicles and building 408,386 cars during the three-month span.

As Tesla transitions more toward AI and sees itself as less of a car company, expectations for deliveries will begin to become less of a central point in the consensus of how the quarter is perceived.

Nevertheless, Tesla is leaning on its strong foundation as a car company to carry forward its AI ambitions. The first quarter is a good ground layer for the rest of the year.

Tesla Q1 2026 Earnings Results

Tesla’s Earnings Results are as follows:

  • Non-GAAP EPS – $0.41 Reported vs. $0.36 Expected
  • Revenues – $22.387 billion vs. $22.35 billion Expected
  • Free Cash Flow – $1.444 billion
  • Profit – $4.72 billion

Tesla beat analyst expectations, so it will be interesting to see how the stock responds. IN the past, we’ve seen Tesla beat analyst expectations considerably, followed by a sharp drop in stock price.

On the same token, we’ve seen Tesla miss and the stock price go up the following trading session.

Tesla will hold its Q1 2026 Earnings Call in about 90 minutes at 5:30 p.m. on the East Coast. Remarks will be made by CEO Elon Musk and other executives, who will shed some light on the investor questions that we covered earlier this week.

You can stream it below. Additionally, we will be doing our Live Blog on X and Facebook.

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