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.
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.
Elon Musk
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI, Elon Musk’s artificial intelligence startup, has purchased five additional 380 MW natural gas turbines from South Korea’s Doosan Enerbility to power its growing supercomputer clusters.
The deal, which was confirmed by Musk on X, highlights xAI’s effort to aggressively scale its operations.
xAI’s turbine deal details
News of xAI’s new turbines was shared on social media platform X, with user @SemiAnalysis_ stating that the turbines were produced by South Korea’s Doosan Enerbility. As noted in an Asian Business Daily report, Doosan Enerbility announced last October that it signed a contract to supply two 380 MW gas turbines for a major U.S. tech company. Doosan later noted in December that it secured an order for three more 380 MW gas turbines.
As per the X user, the gas turbines would power an additional 600,000+ GB200 NVL72 equivalent size cluster. This should make xAI’s facilities among the largest in the world. In a reply, Elon Musk confirmed that xAI did purchase the turbines. “True,” Musk wrote in a post on X.
xAI’s ambitions
Recent reports have indicated that xAI closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development. The funding, as per the AI startup, “will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products.”
The company also teased the rollout of its upcoming frontier AI model. “Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote in a post on its website.
Elon Musk
Elon Musk’s xAI closes upsized $20B Series E funding round
xAI announced the investment round in a post on its official website.
xAI has closed an upsized $20 billion Series E funding round, exceeding the initial $15 billion target to fuel rapid infrastructure scaling and AI product development.
xAI announced the investment round in a post on its official website.
A $20 billion Series E round
As noted by the artificial intelligence startup in its post, the Series E funding round attracted a diverse group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group, among others.
Strategic partners NVIDIA and Cisco Investments also continued support for building the world’s largest GPU clusters.
As xAI stated, “This financing will accelerate our world-leading infrastructure buildout, enable the rapid development and deployment of transformative AI products reaching billions of users, and fuel groundbreaking research advancing xAI’s core mission: Understanding the Universe.”
xAI’s core mission
Th Series E funding builds on xAI’s previous rounds, powering Grok advancements and massive compute expansions like the Memphis supercluster. The upsized demand reflects growing recognition of xAI’s potential in frontier AI.
xAI also highlighted several of its breakthroughs in 2025, from the buildout of Colossus I and II, which ended with over 1 million H100 GPU equivalents, and the rollout of the Grok 4 Series, Grok Voice, and Grok Imagine, among others. The company also confirmed that work is already underway to train the flagship large language model’s next iteration, Grok 5.
“Looking ahead, Grok 5 is currently in training, and we are focused on launching innovative new consumer and enterprise products that harness the power of Grok, Colossus, and 𝕏 to transform how we live, work, and play,” xAI wrote.
Tesla (NASDAQ: TSLA) stock received a price target update from Pierre Ferragu of Wall Street firm New Street Research, citing the company’s growing lead in self-driving and autonomy.
On Tuesday, Ferragu bumped his price target from $520 to $600, stating that the consensus from the Consumer Electronics Show in Las Vegas was that Tesla’s lead in autonomy has been sustained, is growing, and sits at a multiple-year lead over its competitors.
CES 2026 validates Tesla’s FSD strategy, but there’s a big lag for rivals: analyst
“The signal from Vegas is loud and clear,” the analyst writes. “The industry isn’t catching up to Tesla; it is actively validating Tesla’s strategy…just with a 12-year lag.”
The note shows that the company’s prowess in vehicle autonomy is being solidified by lagging competitors that claim to have the best method. The only problem is that Tesla’s Vision-based approach, which it adopted back in 2022 with the Model 3 and Model Y initially, has been proven to be more effective than competitors’ approach, which utilizes other technology, such as LiDAR and sensors.
Currently, Tesla shares are sitting at around $433, as the company’s stock price closed at $432.96 on Tuesday afternoon.
Ferragu’s consensus on Tesla shares echoes that of other Wall Street analysts who are bullish on the company’s stock and position within the AI, autonomy, and robotics sector.
Dan Ives of Wedbush wrote in a note in mid-December that he anticipates Tesla having a massive 2026, and could reach a $3 trillion valuation this year, especially with the “AI chapter” taking hold of the narrative at the company.
Ives also said that the big step in the right direction for Tesla will be initiating production of the Cybercab, as well as expanding on the Robotaxi program through the next 12 months:
“…as full-scale volume production begins with the autonomous and robotics roadmap…The company has started to test the all-important Cybercab in Austin over the past few weeks, which is an incremental step towards launching in 2026 with important volume production of Cybercabs starting in April/May, which remains the golden goose in unlocking TSLA’s AI valuation.”
Tesla analyst breaks down delivery report: ‘A step in the right direction’
Tesla has transitioned from an automaker to a full-fledged AI company, and its Robotaxi and Cybercab programs, fueled by the Full Self-Driving suite, are leading the charge moving forward. In 2026, there are major goals the company has outlined. The first is removing Safety Drivers from vehicles in Austin, Texas, one of the areas where it operates a ride-hailing service within the U.S.
Ultimately, Tesla will aim to launch a Level 5 autonomy suite to the public in the coming years.
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
Elon Musk’s xAI closes upsized $20B Series E funding round
