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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.
Elon Musk
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
Elon Musk’s xAI plans to pour more than $20 billion into a massive new data center campus in Southaven, Mississippi, marking the largest single economic development project in the state’s history.
The project is expected to create hundreds of permanent jobs, dramatically expand xAI’s computing capacity, and further cement the Mid-South as a growing hub for AI infrastructure.
xAI goes MACROHARDRR in Mississippi
xAI has acquired and is retrofitting an existing facility in Southaven to serve as a new data center, which will be known as “MACROHARDRR.” The site sits near a recently acquired power plant and close to one of xAI’s existing data centers in Tennessee, creating a regional cluster designed to support large-scale AI training and inference.
Once completed, the Southaven facility is expected to push the company’s total computing capacity to nearly 2 GW, placing it among the most powerful AI compute installations globally. The data center is scheduled to begin operations in February 2026.
Gov. Tate Reeves shared his optimism about the project in a press release. “This record-shattering $20 billion investment is an amazing start to what is sure to be another incredible year for economic development in Mississippi. Today, Elon Musk is bringing xAI to DeSoto County, a project that will transform the region and bring amazing opportunities to its residents for generations. This is the largest economic development project in Mississippi’s history,” he said.
xAI’s broader AI ambitions
To secure the investment, the Mississippi Development Authority approved xAI for its Data Center Incentive program, which provides sales and use tax exemptions on eligible computing hardware and software. The City of Southaven and DeSoto County are also supporting the project through fee-in-lieu agreements aimed at accelerating development timelines and reducing upfront costs.
Founded in 2023 by Elon Musk, xAI develops advanced artificial intelligence systems focused on large-scale reasoning and generative applications. Its flagship product, Grok, is integrated with the social media platform X, alongside a growing suite of APIs for image generation, voice, and autonomous agents, including offerings tailored for government use.
Elon Musk highlighted xAi’s growth and momentum in a comment about the matter. “xAI is scaling at an immeasurable pace — we are building our third massive data center in the greater Memphis area. MACROHARDRR pushes our Colossus training compute to ~2GW – by far the most powerful AI system on Earth. This is insane execution speed by xAI and the state of Mississippi. We are grateful to Governor Reeves for his support of building xAI at warp speed,” Musk said.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
Elon Musk’s xAI bets $20B on Mississippi with 2GW AI data center project
Tesla AI Head says future FSD feature has already partially shipped
