General Motors (GM) is expected to announce significant spending cuts on its self-driving unit Cruise this week, following a series of bad news for the subsidiary after an incident with one of its robotaxis last month.
On Wednesday, GM will outline how much it plans to cut spending on the self-driving arm, according to Financial Times, after a Cruise robotaxi hit and pinned a woman in San Francisco on October 2. Since the accident, the company has slowly been whittling back certain planned operations, including production plans and the mere scope of what cities the startup will operate in.
Currently, GM has invested a quarterly average of around $700 million, though how much it plans to cut Cruise’s operations is not yet clear. The automaker has spent billions of dollars on the startup self-driving company, last year spending $2.1 billion to buy out Softbank’s minority stake in the company. GM also had a long-term revenue target of about $80 billion by 2030, though the announcement is also expected to affect this outlook.
Part of Cruise’s pitch has been based on a goal of “zero crashes, zero emissions, zero congestion,” though it has said it is currently focused on rebuilding public trust.
GM recently said its “strategy is to relaunch in one city and prove our performance there, before expanding… [once] we have taken steps to improve our safety culture and rebuild trust.”
GM-owned Cruise hires law, tech firms to review accident response
In addition to cutting spending, Cruise has announced multiple delays to the production of its Origin self-driving van, resignations from two separate co-founders and executives, recalls of its 950 Chevy Bolt self-driving vehicles and more. Following the incident, Cruise’s self-driving permit was immediately revoked by the California Department of Motor Vehicles (DMV), and the company faces a federal investigation from the National Highway Traffic Safety Administration (NHTSA).
A letter was sent to the NHTSA that had been signed by 26 different transportation labor organizations, highlighting “grave safety concerns about the expanded testing and operation of automated driving system-equipped vehicles,” according to Transportation Trades Department chief of staff Matthew Colvin.
Some have questioned how the company’s finances will look in the wake of the incident, especially as it moves away from tangible returns that possible investors can justify investing in. Barclays auto analyst Dan Levy thinks will be front and center in the minds of investors keeping tabs on the announcements this week.
“The big question is to what extent ‘Zero Zero Zero’ also hinged on zero rates,” Levy said. “This has been a big theme this year in auto; everyone has had to step back from the euphoria.”
Along with being concerned about returns, GM investors are also hesitant about the startup’s safety following the accident, as expressed by some in the weeks since.
“The problem for Cruise as a business is GM is dependent on it for all the software [revenue] targets the company has set,” said one GM investor. “We don’t see a path to profit, but we do see they will burn a lot of cash trying. GM would be better placed winding back its bet, and returning the money to shareholders.”
“The public are also recognising that being unwitting guinea pigs to unproven tech that’s desperately underregulated is not what anybody has signed up for,” the investor added, noting that a move to reduce spending “as much as possible” at Cruise would constitute an “easy win.”
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
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
