There were a number of notable events that transpired in the electric vehicle sector in the past few days. Tesla rolled out a minor $1,000 limited-time discount for the Model Y crossover until the end of February. And this Sunday, BMW, Volkswagen, and KIA aired their respective advertisements for the BMW i5, VW ID.Buzz, and the KIA EV9 at Super Bowl LVIII.
The Super Bowl is the United States’ biggest sporting event, reaching nearly 100 million people every year since Super Bowl 44 in 2010, as per ratings agency Nielsen. It is then no surprise that ad spots for the premier sporting event are sold at a premium, with Automotive News noting that a 30-second advertisement for this year’s Super Bowl costs about $7 million on average.
Now, $7 million is definitely not a small amount, but it does help a company reach 100 million people. That’s invaluable, and likely well worth it for automakers looking to highlight their electric vehicle offerings. This was evident in BMW’s star-studded ad with actor Christopher Walken, Volkswagen’s nostalgic advertisement for the ID.Buzz, and KIA’s heartwarming commercial for the EV9. And as per Wall Street veteran and Tesla bull Gary Black, Tesla could have easily benefitted from a Super Bowl ad this year.
At $7M for a 30 second Super Bowl ad, $TSLA would have to sell 875 incremental cars (@$8k gross profit per car) to justify the cost of the ad. And the follow up interest from TSLA paying for a Super Bowl ad would be huge. Instead $TSLA cuts price by $1,000 per Model Y in the US… https://t.co/ZrqxUpRCcB— Gary Black (@garyblack00) February 12, 2024
As explained by Black in a post on X, the social media platform formerly known as Twitter, a $7 million Super Bowl ad for Tesla would result in massive follow-up interest in the electric vehicle maker. Black also highlighted that at $7 million, Tesla would only have to sell 875 incremental cars at $8,000 gross profit per unit to justify the cost of a 30-second Super Bowl advertisement.
In comparison, Tesla’s $1,000 discount for the Model Y, which is generally unknown to conventional car buyers outside X and the EV community, will cost Tesla about $40 million, Black estimated. What’s worse is that avid Tesla critic Dan O’Dowd, who is on a crusade to ban Full Self-Driving on public roads, is paying for two Super Bowl ads. Thus, not only will Super Bowl viewers not see an ad supporting Tesla during the premier sporting event. They will instead see two ads encouraging them to boycott the company’s products.
Do you think @Tesla spending $7 million on a 30 second Super Bowl ad would be a good investment for the company?
Explain your reasoning below.— Sawyer Merritt (@SawyerMerritt) February 11, 2024
What is interesting is that Tesla has a ton of advertisements that could have worked for the Super Bowl as well. Tesla’s Cybertruck commercials alone would be very interesting, such as the company’s 60-second “all-features” ad or the vehicle’s dedicated Basecamp advertisement. One could even argue that some fan-made Tesla commercials that have been created by enthusiasts over the years are good enough for such an event.
It was thus unsurprising that numerous EV fans and TSLA investors supported Black’s suggestion. After all, a good number of car buyers are still very unfamiliar with Tesla’s vehicles, such as the fact that they start below $40,000, that they are the safest cars on the road, or that they are the most American-made, among others. This was quite evident in a poll that was posted on X which asked users if Tesla would benefit from a Super Bowl ad. While those who support and those who do not support the idea are pretty much equal, one cannot deny the fact that the voices calling for Tesla to advertise are getting notably louder.
Check out BMW, Volkswagen, and KIA’s EV ads for Super Bowl LVIII below.
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News
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
“Tesla’s FSD stack is completely world-class,” the Nvidia CEO said.
NVIDIA CEO Jensen Huang has offered high praise for Tesla’s Full Self-Driving (FSD) system during a Q&A at CES 2026, calling it “world-class” and “state-of-the-art” in design, training, and performance.
More importantly, he also shared some insights about the key differences between FSD and Nvidia’s recently announced Alpamayo system.
Jensen Huang’s praise for Tesla FSD
Nvidia made headlines at CES following its announcement of Alpamayo, which uses artificial intelligence to accelerate the development of autonomous driving solutions. Due to its focus on AI, many started speculating that Alpamayo would be a direct rival to FSD. This was somewhat addressed by Elon Musk, who predicted that “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.”
During his Q&A, Nvidia CEO Jensen Huang was asked about the difference between FSD and Alpamayo. His response was extensive:
“Tesla’s FSD stack is completely world-class. They’ve been working on it for quite some time. It’s world-class not only in the number of miles it’s accumulated, but in the way it’s designed, the way they do training, data collection, curation, synthetic data generation, and all of their simulation technologies.
“Of course, the latest generation is end-to-end Full Self-Driving—meaning it’s one large model trained end to end. And so… Elon’s AD system is, in every way, 100% state-of-the-art. I’m really quite impressed by the technology. I have it, and I drive it in our house, and it works incredibly well,” the Nvidia CEO said.
Nvidia’s platform approach vs Tesla’s integration
Huang also stated that Nvidia’s Alpamayo system was built around a fundamentally different philosophy from Tesla’s. Rather than developing self-driving cars itself, Nvidia supplies the full autonomous technology stack for other companies to use.
“Nvidia doesn’t build self-driving cars. We build the full stack so others can,” Huang said, explaining that Nvidia provides separate systems for training, simulation, and in-vehicle computing, all supported by shared software.
He added that customers can adopt as much or as little of the platform as they need, noting that Nvidia works across the industry, including with Tesla on training systems and companies like Waymo, XPeng, and Nuro on vehicle computing.
“So our system is really quite pervasive because we’re a technology platform provider. That’s the primary difference. There’s no question in our mind that, of the billion cars on the road today, in another 10 years’ time, hundreds of millions of them will have great autonomous capability. This is likely one of the largest, fastest-growing technology industries over the next decade.”
He also emphasized Nvidia’s open approach, saying the company open-sources its models and helps partners train their own systems. “We’re not a self-driving car company. We’re enabling the autonomous industry,” Huang said.
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.
Nvidia CEO Jensen Huang explains difference between Tesla FSD and Alpamayo
Elon Musk confirms xAI’s purchase of five 380 MW natural gas turbines
