News
How EV adoption is soaring in unlikely circumstances, and what could make it better
The adoption of electric vehicles has continued to skyrocket over the past several years despite challenging supply chain conditions, less-than-ideal geopolitical scenarios, lingering effects of the COVID-19 pandemic, and the soaring cost of EV materials. How this optimism remains was examined in a recent white paper from Cox Automotive, which outlined how EVs continue to defy all odds and gain market share, despite monumental challenges standing in the sector’s way.
EV Adoption grows despite rough conditions
The state of EV adoption is relatively healthy, with more Americans buying EVs than ever despite increased costs and extended wait times for delivery. Automakers across the EV manufacturing industry have been forced to adjust prices and vehicle lineups due to the increased cost of materials and supply chain deals. Tesla, for example, axed the $35,000 Standard Range+ Model 3, and its most affordable vehicle now starts at well over $40,000. Rivian was forced to push prices upward due to materials costs soaring after Russia’s invasion of Ukraine, and these examples are just two of many.
Supply chain bottlenecks have also forced consumers to push back wait times for EVs considerably. Some configurations of EVs are not available until next year due to extensive order logs; take the Long Range Tesla Model 3, for example, which won’t be available until 2023 because of its heavy demand.
Despite this, EV adoption has increased every year since 2019. “Americans are buying EVs at a record pace despite rising prices and long waits for delivery. The fleet industry is also taking note with fleet operators highly motivated to replace their gas-powered fleets with EVs to achieve sustainability goals, drive efficiency and reduce total cost of ownership,” Cox Automotive wrote in the summation of its white paper.
Price Parity and the EV Tax Credit
Price parity has always been talked about when it comes to EVs. It does not take a genius to figure out that the average person will choose an affordable car over an expensive one, even if the expensive one will not require weekly stops at the pump. However, one of the biggest things keeping EVs from extremely rapid adoption is the prices of the cars themselves, which have increased considerably over the past year due to materials costs soaring.
Luckily, consumers can take advantage of the Inflation Reduction Act, which will provide EV buyers with tax credits based on where their vehicle was manufactured and whether the car equips a U.S.-manufactured battery. “Tax incentives available as part of the Inflation Reduction Act of 2022 will be critical to consumer adoption, helping offset the cost of pricey EVs.” This is a key point in the mass adoption in EVs, and consumers will likely stick to gas-powered cars as long as they are able to if they are more affordable than a quality EV.
Supply Chain Disruptions have slowed EV adoption considerably
Related to other points already made, supply chain disruptions and constraints are slowing EV adoption. U.S.-based EV manufacturers are too reliant on foreign companies for parts, Cox said. Automakers are pushing to produce battery packs and other parts in the U.S., which will eventually help combat slow logistics times.
“Global computer chip and material shortages are impacting production, raising the price of new and used vehicles, and contributing to long waits to buy new EV models.” Consumers want affordable and they want it now. Costs will continue to remain high, and wait times will stay long if U.S. automakers do not adopt domestic supply chain strategies.
Superior EV tech is keeping the U.S. competitive
Domestic supply chain bottlenecks may have some consumers willing to spend a little extra opting for other vehicle options. If someone is willing to spend $160,000 on a car and they can buy a 2022 Porsche 911 GT3 and get it in two weeks, they’re more likely to buy that instead of waiting months for a Tesla Model S Plaid if environmental reasons and fuel savings are not being considered. Tech and the innovations of battery chemistries and recycling are keeping the U.S. automakers in focus. If battery makers can develop various battery chemistries comprised of materials that can be sourced in the U.S., wait times will reduce and cars will have more availability.
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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
