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SpaceX's workhorse rocket is almost halfway to reaching ambitious reusability goals
Thanks to a recent cluster of major milestones, SpaceX’s family of Falcon 9 and Heavy rockets are rapidly nearing the halfway point along the path to several ambitious goals for booster and fairing reusability.
Back in the early 2010s, SpaceX’s CEO Elon Musk’s original dream was to make Falcon 9 and Falcon Heavy 100% reusable, meaning that the company would need to find ways to reliably recover boosters (first stages), payload fairings (or Dragon spacecraft), and the rocket’s upper (second) stages. The concept of Falcon 9 second stage reuse actually survived all the way into 2018 before Musk ultimately conceded defeat, accepting that Falcon 9 and Heavy simply didn’t offer the performance necessary to make full reusability a worthwhile investment. The concept, however, still lives on in SpaceX’s next-generation Starship launch vehicle.
This does mean Falcon rockets will never be fully reusable, but it’s still up to SpaceX to decide how far they’ll push the envelope with the rockets’ existing reusable hardware. At the moment, it appears that a vast majority of Falcon rockets will be able to be routinely recovered and reused, capitalizing on the fact that Falcon 9 and Falcon Heavy boosters already represent some 50-75% of the cost of building each two-stage rocket. While Falcon upper stages and Dragon trunks will never be reused, both booster and payload fairing reuse are rapidly approaching their own unique halfway points on the path to ambitious reusability targets.
Shortly after SpaceX’s January 29th Starlink V1 L3 launch, carrying the third batch of 60 upgraded v1.0 satellites to orbit, twin fairing recovery ships GO Ms. Tree (formerly Mr. Steven) and Ms. Chief teamed up for their second-ever simultaneous fairing catch attempt. Ms. Chief – only active since November 2019 – reportedly just barely missed her first successful catch, while Ms. Tree managed to snag one of the Falcon 9 fairing halves in her massive net – the ship’s third successful catch.
Worth an estimated $3M per half according to CEO Elon Musk, Falcon 9’s payload fairing represents approximately 10% of the rocket’s total manufacturing cost. Made out of a carbon fiber and aluminum honeycomb composite material, fairings also also takes a disproportionate amount of time and space to produce – primarily due to their large size (a school bus could comfortably fit inside a fairing) and the need for commensurately large curing ovens. That composite honeycomb structure also makes it relatively easy for Falcon payload fairings to suffer from corrosion when dunked in seawater, leading SpaceX to the seemingly bizarre solution of installing giant arms and nets on ships.
Catching fairings has proven to be incredibly unforgiving, however, and SpaceX has simultaneously worked to make its Falcon fairings much more waterproof (and thus resistant to corrosion) while keeping them as light as possible. In fact, SpaceX’s first fairing reuse occurred less than three months ago and used two halves that previously landed in the Atlantic Ocean, demonstrating that difficulties reliably catching fairings will not stand in the way of reuse.
Ms. Chief missed her January 29th catch attempt, she still managed to fish her fairing half out of the ocean, while Ms. Tree’s successfully-caught half means that SpaceX ultimately recovered the full Starlink V1 L3 fairing. With a little luck, that recovered fairing will launch again in the near future.
Five for 5
Simultaneously, SpaceX is making excellent progress along the path to airliner-like rocket reusability. In November 2019, on the same Starlink mission that debuted flight-proven fairings, Falcon 9 booster B1048 became the first SpaceX rocket to launch (and land) four times. Less than two months later, Falcon 9 B1049 doubled down on that reusability milestone, becoming the second booster to launch and land four times, followed by Falcon 9 B1046 just 12 days later. Falcon 9 B1046 was (intentionally) destroyed after its fourth launch, precluding a fourth landing attempt, but it emphasizes just how confident SpaceX is in Falcon 9’s Block 5 upgrade.
Designed to allow each Falcon 9 and Heavy booster to perform a minimum of 10 launches and landings, the Block 5 upgrade is potentially just a few weeks away from reaching the halfway point along the path to that ambitious reusability design goal. Speaking at the NASA Kennedy Space Center earlier this month, a SpaceX engineer recently revealed that a Falcon 9 booster would conduct its fifth launch in support of a Starlink mission (either Starlink V1 L4 or L5) scheduled no earlier than (NET) mid-to-late February.
Pictured above, Falcon 9 booster B1048 – the first to launch four times – is the likeliest candidate for the first fifth flight of a SpaceX rocket. If the booster’s reuse goes as planned, it’s safe to say that Falcon 9 B1049.4 will follow closely on the heels of its predecessor with its own fifth-flight milestone. All things considered, SpaceX’s workhorse rocket is rapidly approaching the zenith of its theoretically-achievable reusability.
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SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
It is safe to say SpaceX won’t be going for electric rockets anytime soon.
In a characteristically blunt reply on X, SpaceX frontman Elon Musk stated, “Unfortunately, electric rockets are impossible,” following reports that MSCI had assigned SpaceX its lowest possible ESG rating of CCC.
The assessment, issued just this past week, coinciding closely with SpaceX’s public market debut, placed the company on par with nations like Russia in sustainability scoring and cited significant risks in environmental, social, and governance areas.
MSCI flagged SpaceX’s exposure to rocket emissions and other operational impacts, alongside governance concerns such as concentrated control by Musk and limited shareholder protections. Musk’s terse comment directly addressed the environmental pillar, underscoring a core physical constraint that ESG frameworks often overlook when evaluating high-thrust industries.
Unfortunately, electric rockets are impossible
— Elon Musk (@elonmusk) June 21, 2026
Electric propulsion systems do exist and are widely used in space. Ion thrusters and Hall-effect thrusters accelerate ionized propellant, typically xenon or krypton, using electric fields, achieving very high specific impulse, often exceeding 3,000 seconds compared to roughly 300–450 seconds for chemical rockets.
This efficiency makes them ideal for satellite station-keeping, orbit raising, and deep-space missions where low thrust over long durations is sufficient. SpaceX’s own Starlink satellites employ electric propulsion for these purposes.
However, launching from Earth’s surface demands something entirely different: enormous thrust delivered rapidly to overcome gravity and atmospheric drag. A typical orbital-class booster must generate thrust far exceeding its weight, often in the millions of Newtons within seconds.
Chemical rockets achieve this through exothermic combustion of dense propellants, producing high-mass-flow, high-velocity exhaust. Electric systems, by contrast, expel very small amounts of mass at extremely high speeds. Generating equivalent thrust would require impractical onboard power levels, massive energy storage or generation systems, and prohibitive added mass, rendering the approach infeasible with current or near-term technology.
Musk has previously expressed a similar sentiment, noting a desire for electric orbital rockets while acknowledging the inescapable requirements of Newton’s third law and energy delivery. The distinction is clear: electric propulsion excels once a vehicle is already in space; it cannot replace the high-thrust chemical phase required to reach orbit from the ground.
The episode illustrates broader critiques of ESG ratings. Proponents argue they incentivize better risk management and long-term sustainability. Detractors, including Musk—who has previously called ESG a “scam”—contend that such metrics can penalize essential activities when no practical alternative exists, potentially discouraging innovation in sectors like space access.
Elon Musk dubs the S&P 500 ESG as “outrageous scam” after Tesla gets booted from index
SpaceX has sought to mitigate launch-related impacts through reusability: Falcon 9 boosters have flown more than 30 times in some cases, dramatically lowering the manufacturing and emissions burden per kilogram delivered to orbit. Starship’s design further emphasizes rapid reusability and methane propellant, which can theoretically be produced via sustainable pathways.
Ultimately, Musk’s remark serves as a reminder that certain engineering realities persist regardless of scoring systems. As humanity expands its presence in space for communications, science, and exploration, balancing genuine environmental progress with technological necessity remains a central challenge.
ESG frameworks may evolve, but the fundamental limits of electric launch propulsion are unlikely to change soon.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
What is Digital Optimus? The new Tesla and xAI project explained
A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
SpaceX confirms third massive compute deal at Colossus data center
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