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Rocket Lab’s first step towards SpaceX-style rocket reuse set for next Electron launch
Just over a year ago, Rocket Lab announced intentions to recover the first-stage of its small Electron launch vehicle, potentially making it the second private company on Earth – after SpaceX – to attempt to recover and reuse an orbital-class rocket.
In a media call earlier this week, Rocket Lab founder and CEO, Peter Beck, revealed that the first recovery attempt has been expedited to mid-November and will occur following the next flight of Rocket Lab’s Electron rocket.
Like competitor SpaceX, Rocket Lab aims to recover its first stage Electron booster to decrease production time and increase launch cadence. Rocket Lab now has three launchpads to launch from and is licensed by the Federal Aviation Administration to carry out up to 130 launches per calendar year. In order to increase the launch cadence of the Electron, production times need to decrease. This can effectively be accomplished with the recovery, refurbishment, and reuse of the small, carbon composite rocket booster.
Recovery Doesn’t Happen Overnight
Initially, the first step of recovering an expended first stage – a guided and controlled soft water landing under a parachute and retrieval by sea-vessel – was intended for the seventeenth launch of the Electron prior to the end of this calendar year. However, Rocket Lab is now targeting the sixteenth launch for the first recovery attempt, a mission appropriately nicknamed “Return to Sender.” When asked what prompted the move to an earlier launch, Beck stated to reporters, “the guys got it done in time. With a new development like this, it’s always very dependent on how the program runs and the program ran very successfully.”
Rocket Lab has been working toward this recovery attempt for quite some time. In late 2018, Rocket Lab began collecting data during launches to inform future recovery efforts and determine whether or not it would even be feasible with a small-class rocket. The first major block upgrade of the Electron booster debuted on the tenth flight, “Running Out of Fingers,” in December 2019.
The first recovery milestone, a task Beck called getting through “the wall,” was achieved following the tenth flight. And again in January 2020 following a successful eleventh flight of Electron. The “wall” Beck refers to is the Earth’s atmosphere. Returning a booster through the atmosphere intact requires extreme precision in terms of re-entry orientation and how efficient the heat shield is.
Because the Electron is a small-class rocket, Rocket Lab was able to collect enough data from previous flights to determine that the carbon composite frame could withstand a fall through the atmosphere given a precise enough angle of attack to sufficiently distribute thermal loads. According to Beck, the process is referred to as an “aero thermal decelerator.”
Small Rocket Following in Big Footsteps
SpaceX, Elon Musk’s space exploration company pioneered booster landing, recovery, and reuse efforts when the first Falcon 9 booster to successfully land returned to Landing Zone 1 at Cape Canaveral Air Force Station in Florida on December 21, 2015. SpaceX approaches the process of booster re-entry in a different way than what Rocket Lab has decided to attempt with Electron.
The Falcon 9 boosters perform a re-orientation flip and use the engines to perform what is known as a boost-back burn to set the rocket on the path to return to the Earth’s surface. The rocket then autonomously deploys titanium grid-fins that essentially steer, and slow the booster down as it falls through the atmosphere. Finally, the engines are re-ignited during a series of burns, and landing legs are deployed to propulsively land either at sea aboard an autonomous spaceport droneship or back on land at a landing zone.
The booster of Rocket Lab’s tenth mission in 2019 was outfitted with guidance and navigation hardware and cold gas attitude control thrusters used to flip and orient the booster to withstand the stresses of re-entry. Otherwise, no other hardware was incorporated to reduce the stresses of re-entry or slow the vehicle as it fell through the atmosphere. The booster made it through “the wall” intact and eventually slowed to a rate less than 900km per hour by the time it reached sea-level for an expected impact.
Eventually, Rocket Lab imagines its small Electron booster to be caught during a controlled descent under parachute canopy with a specially equipped helicopter and grappling hook. Beck and his team spent weeks outfitting a test article with prototype parachutes that were manufactured in-house.
A low-altitude drop test of a test article to simulate an Electron first stage was performed and a helicopter was able to snag the test article mid-air and deliver it one piece. Essentially, this proved that the concept was at least feasible and the small-class rocket could in fact be fully recovered to eventually be refurbished and reused. Since the completion of this drop test in April of 2020, the parachute design has been reevaluated and many more drop tests have been conducted. The final drop test with a more traditional system of a drogue parachute and an 18m ringsail type main parachute occurred in August of 2020 with a first stage simulator.
Next up, Rocket Lab plans to use the finalized design of the parachute system to bring Electron home safely for a soft landing in the Pacific Ocean. After which the booster will be collected by a recovery vessel, similar to the process that SpaceX uses to scoop its payload fairings from the water.
“Bringing a whole first stage back intact is the ultimate goal, but success for this mission is really about gaining more data, particularly on the drogue and parachute deployment system,” said Beck. With the parachute system verified the teams should be able to make any further iterations for a full capture and recovery effort on a future mission relatively quickly.
Rocket Lab will try to fully recover the “Return to Sender” expended first-stage booster once it separates approximately two and a half minutes after liftoff from Launch Complex 1 on the Mahia Penninsula of New Zealand. Electron will support a rideshare payload of thirty smallsats. The window to launch the sixteenth Electron mission opens on November 16 UTC (November 15 PT / ET). A hosted live webcast of the launch and recovery attempt will be provided on the company website approximately fifteen minutes prior to liftoff.
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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.
News
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
