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SpaceX competitor ULA CEO still questions the economic value of reusable rockets
SpaceX has made a name for itself for being one of the only private space companies today to deploy a fleet of rockets that are capable of being reused for multiple missions. Elon Musk has sworn by the economics of rocket reusability, and this is shown by SpaceX’s launch prices compared to competitors that use expendable rockets. Yet for Tory Bruno, the CEO of ULA, the economic sense behind reusable rockets like the Falcon 9 is still questionable.
Interestingly enough, the ULA is poised to use Blue Origin’s BE-4 engines for the first stage of its expendable Vulcan rocket. Like SpaceX, Blue Origin’s vision of spaceflight involves rockets that can be reused multiple times before they are retired. ULA, for its part, notes that it may decide to recover and reuse the Vulcan’s BE-4 engines down the road, using a system that disengages the units after launch and having them fall back through the atmosphere while being protected by an inflatable hypersonic shield.
A helicopter would then be positioned to catch the engine section midair while it makes its descent. ULA has come up with a noteworthy name for this system: the Sensible Modular Autonomous Return Technology, or SMART approach. In a statement to Aviation Week, ULA CEO Tory Bruno explained the strategy behind the company’s SMART strategy.
“It does not impact, in any significant way, the overall performance of the launch vehicle because you don’t have to save fuel to fly home with. You still get to burn up all your fuel, separate your engine, which is the most expensive piece, and recover it,” Bruno said.
Elaborating further, the ULA CEO mentioned that ultimately, he believes that the economics of reusable rockets is still up for question. Bruno argued that it is still difficult to ensure that using reusable rockets instead of expendable machines actually saves money.
“We have not really changed our assessment over the last couple of years because we have yet to see the other forms of reusability—flyback or propulsive return to Earth—demonstrate economic sustainability on a recurring basis. It’s pretty darn hard to make that actually save money… We’ve seen nothing yet that changes our analysis on that,” the ULA CEO said.
The ULA CEO’s points about the possible lack of savings on reusable rockets put him in stark contrast with other noteworthy leaders in the space industry. Apart from SpaceX CEO Elon Musk, fellow billionaire Jeff Bezos of Blue Origin is also intently focused on using reusable rockets. Even Rocket Lab CEO Peter Beck, whose company designs and launches small rockets, has embraced the idea of reusing previously-flown boosters.
In a statement in August 2019, for example, Beck noted that he actually had to “eat his hat” when it came to reusing his company’s rockets. “For a long time, I said we weren’t going to do reusability. This is one of those occasions where I have to eat my hat,” the Rocket Lab CEO said.
That being said, the fact that the ULA CEO is considering reusing the Vulcan’s BE-4 engines may be considered as a small win for reusable rockets. Perhaps in the near future, Bruno would see exactly why SpaceX has grown so much over the years, and why the company is practically launching its Starlink satellite internet system at a minimal cost.
“We view (rocket reuse) as sort of a journey. We’re going to start with the engines because we’re pretty sure we can save money with that and pass those savings on right away. As we learn more by doing, we’ll continue to assess other valuable parts of the rocket, and we may discover that we can do that there as well.
“There is one funny thing about reusability. As you make your rocket less expensive, and you make parts of your rocket less expensive, it’s harder to close a business case on reuse because the thing you’re recovering isn’t as valuable. There’s a balance there,” Bruno said.
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
