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How Tesla’s Elon Musk dunks on the competition just as their momentum builds
It’s an emotion-filled, intense game. When you’re down the court. In the zone. Elon Musk goes up for the slam and WHAM!
Just when you least expected it.
Oh, that’s gotta hurt.
The script plays out time and time again. Tesla and SpaceX CEO Musk bursts into action. Like a runaway freight train. But with intent. Strategy. Musk charges in with a timely announcement to derail the momentum of his competition, just as they’re about to gain traction. Cheers for the competition become silence.
We were reminded of Musk’s mastery of the game this past week when a timely leaked email would inform the world that Tesla was preparing for volume production of its highly-anticipated Semi truck. Shares of Tesla shot up past $1,000 to raise the bar on its all-time high, while any trace of attention on a competing rival – Nikola – would be lost.
Electric-hydrogen commercial truck maker Nikola had just come off of a momentous week after going public in its Initial Public Offering.
While Musk’s announcement was surely a positive one for Tesla, there may have been some intent behind it. Just as Nikola’s stock began to climb, Musk derailed their momentum by announcing Tesla’s plan to prioritize the Semi truck production. It’s a classic page out of Musk’s successful playbook to leverage a competitor’s momentum, as media centers the conversation around a particular industry, before ripping the ball away from the competition and go in for the slam dunk. It has happened throughout his storied career. And it will continue to do so.
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Porsche Taycan. We drove it. We appreciated it and we were on the bandwagon that the Porsche Taycan and its “repeatable performance” was destined for the famed Nürburgring. It was one of the first stories I covered as a writer for Teslarati and I can remember it pretty vividly. The Taycan hit the Green Hell in Germany in August and reportedly set a track record for a four-door production vehicle. However, that story wouldn’t last long.
Not more than a couple of weeks later, on September 5, Musk announced the Model S would be arriving at the Nürburgring to test its performance at the notoriously difficult racetrack. But it surely didn’t stop there. Musk then stated that Tesla had been developing an entirely new version of the Model S behind the scenes and that the wide-body design was a brand new tri-motor setup of the company’s flagship sedan. It was called “the Plaid Powertrain,” and it ripped through the Ring in record time.
Just as Porsche was starting to gain some momentum as an EV competitor to Tesla, Musk ripped their title right out from under them. Within a few weeks, everyone was done talking about the Taycan and wanted to know more about the Plaid Model S. As of right now, it is still a car that has is relatively face-value details available, but we all know it is going to be fast.
Next, Rivian’s momentum was surely derailed by Musk when the company decided to unveil the Cybertruck. Rivian’s R1T was going to be “the next big thing” in the consumer pickup truck segment. Personally, I was pretty impressed with how many people knew about Rivian, because many friends who have little interest in the automotive sector as a whole knew who Rivian was. In California, this wouldn’t be as impressive. But I live in Pennsylvania, and it was pretty cool to hear people talk about Rivian in such a mainstream manner.
In November, Rivian had been holding more reservation events, developing its production facilities, filing patents, and really establishing itself as a real leader in the EV pickup market. Then came along the Cybertruck.
The Cybertruck’s design and its dystopian-like unveiling event were enough to derail Rivian’s momentum. Nobody was talking about Rivian, and even to this day nearly eight months later, the Cybertruck is still the hot topic. While Rivian remains a relevant character in the electric pickup truck community, the casual electric car fan is sharing articles about the Cybertruck, and not the R1T.
I’ll be honest, the space race rivalry between Musk and Bezos isn’t something I’ve followed as closely as the automotive stuff. But I remember when Bezos was on CNN in 2015 talking about his Blue Origin rockets being the first fully reusable rockets in the world. But SpaceX had successfully landed a reusable rocket in 2012. Not to mention, Musk’s words were often times reused by Bezos, who would pawn them off as his own idea. A video of that is available here.
https://youtu.be/Qe_TTI64fJA
Anyway, the proof is in the pudding. Musk has used other companies to time his announcements for groundbreaking products. He did it with the Plaid Model S, he did it with the Cybertruck, and he did it with the Semi. Momentum building is especially difficult in automotive manufacturing simply because most companies all share the same features and commonalities. It takes something truly special for people to get excited.
Elon has developed an interesting way to spread the word about his new products, and he’s basically used other companies to do it. Some might call it timely, some might call it rude. I call it smart.
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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
Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric
