News
Rocket Lab assembling first reusable Neutron rocket hardware
Rocket Lab appears to have made significant progress since revealing the state of hardware development for its next-generation Neutron rocket in a September 2022 investor update.
At the time, the company shared photos of early work on prototypes of smaller Neutron structural elements, as well as progress building the giant molds that will be used to ‘lay up’ the rocket’s carbon fiber composite tanks and airframe. Rocket Lab also showed off acquisitions of some of the supersized manufacturing equipment that will be used to build the giant rocket, as well as the beginnings of a dedicated Neutron factory in Virginia.
Four months later, photos shared by CEO Peter Beck show that Rocket Lab has progressed to full-scale carbon fiber hardware manufacturing. In December 2022, Beck shared a photo of a full-size Neutron tank dome in the middle of production. A month later, Beck shared a photo of work on both halves of a Neutron booster tank dome. Measuring around seven meters (23 ft) wide, the latter component is already on track to become one of the largest carbon fiber structures ever prepared for a rocket once the halves are joined. And once two more halves are built and assembled, Rocket Lab could soon be ready to start testing full-scale Neutron tank hardware – a crucial milestone for any new rocket.


The update that's rolling out to the fleet makes full use of the front and rear steering travel to minimize turning circle. In this case a reduction of 1.6 feet just over the air— Wes (@wmorrill3) April 16, 2024
Announced in March 2021 and properly unveiled in December 2021, Neutron is a partially-reusable two-stage rocket designed to launch up to 15 tons to Low Earth Orbit (LEO) using liquid methane and oxygen propellant. Neutron measures 42.8 meters (140.4 ft) tall and up to seven meters (23 ft) wide. Its stout, ballistically-optimized design means that it’s simultaneously 40% shorter and up to 190% wider than SpaceX’s workhorse Falcon 9 rocket.
Design differences aside, Neutron is the first rocket that has been obviously designed as an answer to Falcon 9, which has become one of the most prolific, cost-effective, and routinely reusable rockets in the world over the last five or so years. Depending on how much Rocket Lab can sell Neutron for while still breaking even, Neutron has the potential to give Falcon 9 a serious run for its money – or at least force SpaceX to lower its prices. Like Falcon 9, Neutron will have a reusable booster, a reusable payload fairing, and an expendable upper stage. Its booster will also have nine (Archimedes) engines and the upper stage will be powered by one engine. At liftoff, Neutron will produce up to 674 tons (1.49M lbf) of thrust to Falcon 9’s 770 tons (1.7M lbf).



Unlike Falcon 9, Neutron’s similarly-sized reusable fairing is integral, meaning that it will stay permanently attached to the booster. But despite the added mass of the integral fairing and the rocket’s significantly shorter layout, Rocket Lab says that Neutron will be able to launch up to 13 tons (~28,700 lb) to LEO if the booster lands on a barge downrange. Using the same approach with a deployable fairing, Falcon 9 has launched up to 16.7 tons (~36,800 lb) to LEO. That 23% performance gap may seem significant, but the reality is that only SpaceX’s own Starlink and Dragon missions have ever needed Falcon 9 to launch more than 13 tons to orbit.
If Neutron can consistently launch ~25% less payload than Falcon 9 to all Earth and near-Earth orbits, virtually every commercial launch contract that’s currently a SpaceX shoo-in could be within reach of Rocket Lab within several years. The challenge, of course, is building Neutron and making sure the ambitious rocket and its clean-sheet Archimedes engine work as expected and can be reused as easily as Falcon 9.
The company is attempting to get there with its far smaller Electron vehicle, but Rocket Lab has never reused a rocket. And five and a half years after Electron’s debut, the company has never launched more than nine times in one year. SpaceX is about to reuse a Falcon booster for the 140th time and launched 61 times in 2022 – a lead that may prove almost impossible to close. There’s also the fact that the size gap between Rocket Lab’s rockets is so extreme that Neutron could likely launch a fully-fueled Electron into orbit.

But again, SpaceX serves as a demonstration that what Rocket Lab hopes to achieve is not impossible. SpaceX went directly from Falcon 1 (about twice as large as Electron) to Falcon 9 V1.0 (about 30% smaller than Neutron) after just two successful launches of the smaller rocket. Electron has successfully launched 29 times since May 2017 and Rocket Lab is already learning about reusability through the smaller rocket. The challenges facing Rocket Lab are huge, but Neutron still remains the most promising SpaceX competitor currently in development. Kicking off full-scale Neutron tank testing just 2-3 years after the rocket was revealed would only reiterate its strengths. Stay tuned to see how much Neutron progress Rocket Lab can make in 2023.
Investor's Corner
Tesla has its answer to auto growth, it just has to bring it to the U.S.: analyst
Tesla has its answer to grow its automotive sales over the next few years, TD Cowen analyst Itay Michaeli says, but it just has to bring it to the U.S.
On Thursday, Michaeli reiterated his $490 price target and the ‘Buy’ rating he already held on Tesla stock (NASDAQ: TSLA). However, its automotive division has struggled to show sequential growth over the past few years, mostly due to its focus on AI and Full Self-Driving. Tesla already axed two of its lower-volume vehicles with the Model S and Model X earlier this year.
However, Tesla does not need to engineer an entire new vehicle to trigger an upward tick in sales; it just has to bring it from China to the U.S., Michaeli said.
He is talking about the Model Y L, a slightly larger version of the all-electric crossover that is already available in China. U.S. customers have been pleading with CEO Elon Musk to bring it to the country since its launch in Asia last year, but he’s not convinced of it because of the advent of self-driving and its importance in this particular market.
The problem is that Tesla owners have been requesting something larger that could fit a typical American family. The Model Y L is slightly larger than the standard Model Y, but some are concerned that it could still be too small to fit what most people might need.
Instead, they have asked for a full-size SUV from Tesla.
Tesla gives big hint that it will build Cyber SUV, smaller Cybertruck
Nevertheless, the Model Y L still presents a great opportunity for Tesla in the U.S., and Michaeli says that there is an additional sales opportunity of about 100,000 units, with demand potential falling somewhere between 60,000 and 135,000 units.
TD Cowen’s note to investors also analyzed that Tesla’s growth could come from a stock perspective as well, positively impacting the stock price, as it has been widely reliant on vehicle sales, even though Tesla has truly phased itself away from that being an important metric.
Tesla stands to gain greatly from the introduction of the Model Y L in the U.S., but only if Elon Musk sees it as a viable fit for the market. Families may need to see Tesla bring something larger to the U.S., or they might be forced to buy from another automaker that offers something that fits is needs for more interior space to haul around the kids.
Elon Musk
Tesla Hardware 3 owners could be made whole this month
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.