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Tesla is winning the next-gen auto industry’s war on data

(Credit: Tesla)

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Tesla has become the hottest car maker in America and they are doing it by focusing on data, which is something that legacy automakers are not really doing very well today. While Detroit continues to push traditional ad campaigns that focus on speed, performance, and safety, Tesla has taken a drastically different approach — and it is evidently paying off.

In the past decade, a new trend has arisen in the American automotive market. According to Inc.com, millennials perceive traditional cars as expensive and pollution-pumping modes of transportation. Amidst the rise of ride-hailing services, the next-generation of car buyers do not seem very eager to get behind the wheel of a personal vehicle, or at least one that is conventional, and acquired through a conventional dealership.

The main issue is that cars are simply not compelling or “fun” to consumers anymore. They are expensive and boring, and unfortunately, none of the traditional car manufacturers have been able to solve the riddle. Then there is Tesla. In a 60 Minutes segment, Scott Pelley said that Tesla CEO Elon Musk was revolutionizing vehicles, in the same way Steve Jobs changed the mobile industry with the iPhone.

Part of the reason behind Tesla’s success so far is the company’s focus on developing vehicles that are built from the ground up with tech. Inasmuch as traditional cars are built on horsepower, Teslas are built on data. Data that’s gathered from every vehicle in Tesla’s fleet, and data that has the potential to improve the company’s cars in terms of performance, safety, and features. Teslas have had over a decade to master this, and the company has gotten very good at its tech-centered approach.

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Tesla currently utilizes data from its nearly 900,000 vehicles currently on the road to give engineers and analysts in Silicon Valley an idea of what they need to improve upon. For example, when Tesla rolled out the highly anticipated release of Smart Summon, the company utilized information from over one million uses of the software. Tesla uses the same strategy with its Autopilot and Full Self-Driving suite as well, which are stepping stones towards CEO Elon Musk’s attempts at reaching autonomy.

Meanwhile, legacy automakers are continuing to push SUVs and trucks using tried and tested strategies that are not as effective today as they were years ago. Veteran automakers such as Ford and GM have started adopting a tech-centered approach in their respective electric cars and autonomous programs, but their core remains traditional. To try and keep up with Elon Musk and the company he heads, some are even releasing “competitors” to Tesla’s Self-Driving capabilities, but they simply fall short because of a lack of data.

Take GM’s Super Cruise, for example, which is robust in its own right. While it is a capable driver-assist system that can possibly rival Navigate on Autopilot, the system can only be used in a fraction of areas that Tesla’s system can be engaged in. A lot of this gap can be attributed to the mountains upon mountains of real-world driving data that Tesla’s has, and legacy automakers don’t.

And the gap is only widening, as suggested by Lucid Motors CEO Peter Rawlinson in a recent statement. Ultimately, it appears that Tesla is pulling away from its competitors in the car industry. While other companies are struggling to keep up with the transition to electric transportation, Tesla is compiling millions of pieces of data in its efforts to improve.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla shows rapid teardown of Model S and X lines, paving the way for Optimus at Fremont

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Credit: Tesla

Tesla shared a striking video showcasing the decommissioning of the original Model S and Model X assembly line at its Fremont Factory in Northern California. Completed in just 46 days, the teardown involved heavy machinery dismantling concrete pits, removing robotic arms and conveyors, and clearing the space for new production.

The post, captioned “End of an era,” captured both the end of a historic chapter and Tesla’s aggressive pivot toward its next major initiative, Optimus.

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The decision to retire the Model S and Model X originated during Tesla’s Q4 2025 Earnings Call in late January 2026. CEO Elon Musk announced that production of the company’s flagship sedan and SUV would wind down by the end of Q2 2026, describing it as bringing the programs to an “honorable discharge.”

Custom orders ceased around early April 2026, with the final vehicles rolling off the line in early May. A special signature delivery ceremony on May 20 marked the emotional close for these vehicles, which had defined Tesla’s early success and luxury EV segment since the Model S launch in 2012.

The primary reason for tearing down the lines was to repurpose the valuable factory floor space for high-volume production of Tesla’s Optimus humanoid robot. Musk had indicated on Earnings Calls that the Fremont S/X line would be replaced by a dedicated Optimus manufacturing line targeting a capacity of one million units per year.

Elon Musk outlines Tesla Optimus production expectations

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This move aligns with Tesla’s broader strategic shift from traditional vehicle manufacturing toward robotics and artificial intelligence, leveraging the company’s expertise in autonomy, AI training, and high-volume production.

Optimus, Tesla’s general-purpose humanoid robot, is designed to perform repetitive or dangerous tasks in factories, warehouses, and eventually homes. Powered by Tesla’s AI and Neural Networks, it aims to be a versatile, affordable platform. Production of Optimus Gen 3 is already underway in limited form at Fremont, with full-scale output on the converted line expected to begin in late July or August.

Tesla is targeting rapid scaling, with internal ambitions pointing toward tens or even hundreds of thousands of units annually by the end of 2026.

Longer-term, Tesla is constructing a much larger second-generation Optimus facility at Giga Texas, with potential capacity reaching millions of units per year. The company views Optimus as a transformative product that could eventually surpass its automotive business in scale and value, enabling widespread deployment of useful robots across industries. CEO Elon Musk has even predicted it would be the most popular product of all-time.

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As one era closes at Fremont, another is rapidly taking shape.

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Elon Musk admits he was ‘clearly wrong’ about Anthropic

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Ministério Das Comunicações, CC BY 2.0 , via Wikimedia Commons

Elon Musk posted a candid admission on his social media platform X on June 9, declaring that he had been “clearly wrong” about Anthropic. The statement marked a notable reversal from his earlier skepticism toward the AI company.

In September, Musk had written, “Winning was never in the set of possible outcomes for Anthropic,” reflecting his view at the time that the startup had lacked the foundation or even the trajectory to succeed in what is an incredibly intense race for advanced artificial intelligence.

Musk’s latest post came amid discussion of Anthropic’s reliance on external compute resources. He praised the company’s progress, stating that Anthropic is “obviously currently the leader in AI” and that “no company has released a model as good as Mythos/Fable,” with expectations of a strong follow-up in Mythos 2.

The tone shifted dramatically from dismissal to acknowledgement of superior performance.

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The context of Musk’s comments added significance. Anthropic has been operating under a recent compute deal with SpaceXAI, Musk’s AI infrastructure-focused venture. The pair entered a short-term GPU lease agreement initiated in May, providing Anthropic access to critical computing power for training and deploying its frontier models.

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SpaceXAI signs agreement with Anthropic for massive AI supercomputer access

Some observers had speculated that Musk could leverage this dependency to disadvantage a rival. Musk directly addressed the possibility, writing, “I would never cut them off in a way that hurt them badly, even as a competitor. That’s not my style.”

To support his commitment to ethical competition, Musk referenced concrete examples from his other companies. Tesla famously open-sourced its entire portfolio of electric vehicle patents in 2014. The move was designed to accelerate the global adoption of sustainable transportation technology rather than protect proprietary advantages.

Tesla also made its Supercharger network available to competing electric vehicle manufacturers, transforming what could have remained an exclusive charging ecosystem into a shared infrastructure that benefits the broader industry and reduces barriers for EV adoption.

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Musk further pointed to SpaceX’s practices, noting that the company launches satellites for competing commercial systems “with no increase in price or use of unfair terms.” He extended the principle to his social platform, observing that “even my worst enemies attack me on this platform,” underscoring preference for open discourse over retaliation.

These examples have illustrated Musk’s long-standing philosophy that long-term technological progress is best served by open competition and infrastructure sharing rather than leveraging market power to stifle rivals. In the fast-evolving AI sector, where compute resources and model capabilities determine leadership, Musk’s stance suggests a willingness to compete on innovation and performance alone.

Musk’s admission arrives as SpaceXAI itself advances its own frontier models while maintaining business relationships across the ecosystem. By publicly correcting his earlier assessment and reaffirming principles of fair play, Musk highlights a model of competition that prioritizes advancement of the field over short-term tactical advantages.

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Tesla analyst says Full Self-Driving is about to have its iPhone moment

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Credit: Tesla

A Tesla analyst believes the company’s Full Self-Driving suite is close to an “inflection point,” where people will finally realize that it is more than what it appears, similar to how many view the iPhone.

Pierre Ferragu, an analyst who has covered Tesla for many years at New Street Research, says the Full Self-Driving suite is one piece of evidence supporting the view that a Tesla is more than a car. He compared it to the iPhone and noted that the high price tag seemed like a lot for a phone early on. Then people realized the iPhone was more than just something you make calls with. It made their lives simpler.

Suddenly, that price tag was justified.

Tesla offers several models under the average transaction price for a new vehicle, which was above $49,000, according to Kelley Blue Book. However, that does not take into account that many people can still not afford a $35,000 vehicle. Ferragu offers his thoughts:

“Remember when the addressable market of the iPhone was 10 million units? Then people realized how good it was, and now, nearly 250m are sold every year.

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A similar evolution for Tesla is still on the table. A Tesla is not a car, the same way an iPhone was not a phone.

A model 3 at $35k + $100 per month is too expensive for most, but only as a car, the same way a $600 iPhone was too expensive for most, until most realized it was much more than a phone.

As a tool that gets you to work peacefully every morning, it is not expensive.”

This point is valid, especially considering the iPhone’s impact on the cell phone market. There are still a handful of players, but most people you know have an iPhone. The iPhone ties into Apple’s other ecosystem of products.

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This is how Tesla plans to infiltrate the automotive market, and once the company offers a fully autonomous suite, or something that can allow for unsupervised self-driving, more and more people will flock to Tesla.

Ferragu believes Tesla needs two additional quarters of development before things will truly change. He didn’t elaborate on what will happen in two quarters, but he said it will give us all time to “see where this is heading.”

It is really quite interesting to see people’s reactions when they find out what a Tesla is capable of. Full Self-Driving is a great tool for taking stress out of travel; I use it daily, and it has made it really difficult to consider taking any other car on a drive of practically any length.

To me, it is really hard to believe that people will not at least seriously consider a Tesla as their next car if they experience Full Self-Driving. This is a major point for those who argue that Tesla should advertise in some way.

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