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SpaceX Falcon 9 crushes next-gen ULA Vulcan rocket on cost in first competition
The United Launch Alliance’s (ULA) next-generation Vulcan Centaur rocket appears to have made it through what could be described as its first real competition with SpaceX and its Falcon 9 workhorse.
The US Space Force (or Air Force) awarded both rockets two launch contracts each on March 9th, marking the second award under “Phase 2” of a new National Security Space Launch (NSSL; formerly Evolved Expendable Launch Vehicle or EELV) agreement. The culmination of a multi-year competition, NSSL Phase 2 calcified in late 2020 when the US military ultimately chose ULA and SpaceX as its primary launch providers for the better part of the next decade.
The final Phase 2 agreement followed Phase 1, in which the USAF committed up to $2.3 billion to assist Blue Origin, Northrop Grumman, and ULA in their efforts to develop future military launch capabilities. SpaceX submitted a proposal but didn’t win funds. Even though the ULA-SpaceX dichotomy was already a more or less fixed outcome before the competition even began, the US military still managed to dole out almost $800 million to Blue Origin and Northrop Grumman before announcing that neither provider had been selected for Phase 2.
Notably, as part of Phase 1, ULA is on track to receive nearly $1 billion in USSF/USAF aid to develop its next-generation Vulcan Centaur rocket and ensure that it meets all of the military’s exacting, unique requirements. SpaceX, on the other hand, received a sum total of $0 from that opaque slush fund to meet the exact same requirements as ULA.
For Phase 2, the US military arbitrarily split the roughly two-dozen launch contracts up for grabs into a 60/40 pile. Even more bizarrely, the USAF did everything in its power to prevent two of the three rockets it had just spent more than $1.7 billion to help develop from receiving any of those two or three-dozen available launch contracts – all but literally setting $800M of that investment on fire. Short of comical levels of blind ineptitude, verging on criminal negligence, the only possible explanation for the US military’s behavior with NSSL Phase 1 and Phase 2 is a no-holds-barred effort to guarantee that ULA and its Vulcan Centaur rocket would have zero real competition.
The arbitrary 60:40 split of the final Phase 2 contract ‘lot’ further supports that argument. A government agency objectively interested in securing the best possible value and redundancy for its taxpayer-provided money would logically exploit a $1.7B investment as much as possible instead of throwing two-thirds of its ultimate value in the trash. On its own, a block-buy scenario – even with a leading goal of selecting two providers – is fundamentally inferior to an open competition for each of the dozens of launch contracts at hand.
Further, selecting the block-buy option and failing to split those contracts 50:50 makes it even clearer that the USAF’s only steadfast NSSL Phase 2 goal was to guarantee ULA enough Vulcan launch contracts for the company to be comfortable and (most likely) not lose money on a rocket that has yet to demonstrate an ability to compete on the commercial launch market.
Amazingly, despite multiple handicaps in the form of a 60:40 contract split and what amounts to a $1B subsidy that explicitly disadvantages its only competitor, ULA’s Vulcan rocket still appears to be ~40% more expensive than SpaceX’s Falcon 9. In the latest round of NSSL Phase 2 contracts, seemingly the first in which ULA’s Vulcan Centaur rocket was selected, SpaceX’s Falcon 9 received two East Coast launch contracts worth slightly less than $160M, averaging out to less than $80M each.
Outfitted with four of a possible zero, two, four, or six strap-on solid rocket boosters (SRBs), Vulcan Centaur received two launch contracts for $224M – an average of $112M each. Assuming ULA wins exactly 60% (~15) of the Phase 2 launch contracts up for grabs and receives no more than $1 billion in USAF development funding through NSSL Phase 1, some $67 million will have to be added to the cost of each announced Vulcan launch contract to get a truly accurate picture. In the case of the rocket’s first two contracts, the real average cost of each Vulcan Centaur launch could thus be closer to $179M ($112M+$67M).
According to ULA CEO Tory Bruno, both Vulcan missions are to “high-energy orbits,” whereas a USAF official told Spaceflight Now that SpaceX’s two Falcon 9 contracts were to “lower-energy orbits.” In Vulcan’s defense, if Bruno’s “high-energy orbit” comment means a circular geostationary orbit (GEO) or a very heavy payload to an elliptical geostationary transfer orbit (GTO), it’s possible that SpaceX would have had to use Falcon Heavy to complete the same contracts. Against Falcon Heavy’s established institutional pricing and excluding ULA’s $1B Phase 1 subsidy, Vulcan Centaur is reasonably competitive.
Ultimately, even with several significant cards stacked against it, SpaceX appears likely to continue crushing entrenched competitors like ULA and Arianespace on cost while still offering performance and results equivalent to or better than even than their “next-generation” rockets.
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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
