A report shared over the weekend claims that the transition team for President-elect Donald Trump is looking to create a federal framework for self-driving vehicles—and to make the sector a top priority in the upcoming term.
Trump’s transition team is looking to create federal rules for the rollout of autonomous vehicles, according to people familiar with the matter in a report from Bloomberg on Sunday. The news comes as Tesla and others are developing and deploying autonomous vehicles, and as Elon Musk has officially been named a co-leader of the Department of Government Efficiency (DOGE) for the Trump administration.
The sources also said that autonomy laws would be a major priority for the U.S. Department of Transportation after past efforts to increase the number of available permits for self-driving vehicles have been thwarted. According to additional people familiar with the matter who spoke under the condition of anonymity, the Trump team is also actively looking to find policy leaders to help develop the guidelines.
Currently, the National Highway Traffic Safety Administration (NHTSA) lets manufacturers deploy as many as 2,500 self-driving vehicles per year under a granted exemption, though attempts to increase allowed units to 100,000 have been unsuccessful. Self-driving vehicles without a steering wheel or accelerator pedals—such as Tesla’s recently unveiled Cybercab—aren’t currently permitted to be deployed en masse, but many think that such a move from Trump could accelerate the deployment of the technology.
Tesla, Waymo, and others developing self-driving vehicles
Currently, Tesla owners can purchase and use the company’s Supervised Full Self-Driving (FSD) to access semi-autonomous driving, though drivers are expected to be attentive and prepared to retake control of the vehicle at any moment. Tesla also unveiled its two-seat Cybercab last month, expected to be based on FSD and to enter production in 2026.
Below you can see our first ride in the Cybercab from the We, Robot unveiling event.
🎥: Our FULL first ride in the @Tesla Cybercab pic.twitter.com/6gR7OgKRCz— TESLARATI (@Teslarati) October 11, 2024
While Tesla doesn’t currently operate a paid ride-hailing service like the Alphabet-owned Waymo, or others working toward this model, the company has teased an app based on an FSD ride-hailing service in the past. Additionally, many within the Tesla community claim that FSD will be more scalable than its competitors, due in part to its training of an AI neural network using millions of clips of real-time driving footage from FSD Supervised users.
Other companies such as Amazon-owned Zoox, General Motors-run (GM-run) Cruise, and still many others have also deployed driverless ride-hailing services to varying degrees of success. While California has been one of a few states where self-driving services have been able to start deployment in limited quantities, autonomous driving has also come under fire from regulators and authorities following a few cases of accidents and traffic violations.
Nonetheless, the development of a federal framework for autonomous vehicles could affect how this happens on a national level—and it will likely come to the benefit of Musk and Tesla, especially given the CEO’s closeness with Trump.
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Elon Musk and Trump’s Department of Government Efficiency
Musk will lead Trump’s newly created DOGE division in tandem with Vivek Ramaswamy, with the department aiming to “dismantle government bureaucracy” and cut down on government spending. The Tesla CEO initially endorsed Trump in July during his presidential campaign, later forming the political action committee (PAC) America PAC in support of the now-President-elect.
In addition to the financial support, Musk was a vocal backer of Trump’s campaign at rallies and in online media appearances, saying last month that Trump “must win to preserve the Constitution and democracy.” Many have also debated whether Trump’s removal of the federal $7,500 electric vehicle (EV) tax credit would be bad for Tesla and other EV makers, though Musk has said that it will likely only benefit Tesla.
The recent support for Trump also follows an ongoing set of feuds Musk has had with President Joe Biden during his presidency, as was sparked by Tesla not being invited to the administration’s EV summit, and by Biden claiming that GM had been the leader in EV deployment. Musk said in July that Biden is “utterly controlled” by the United Automotive Workers (UAW), following multiple criticisms of the union in the past.
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Former Tesla executive warns of delays to European ADAS regulations
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.
Investor's Corner
SpaceX is launching a secret spacecraft that could change how things are made in space
SpaceX’s secret disk-shaped Starfall capsule is targeting a market no reentry vehicle has cracked.
SpaceX is targeting Tuesday, June 23 for the first flight of Starfall, a reentry capsule the company has developed almost entirely in private. The Falcon 9 launch window opens at 6:43 a.m. ET from Space Launch Complex 40 at Cape Canaveral Space Force Station, with a backup window available the same time on June 24. SpaceX has made no public announcement about the vehicle, only providing launch details. Everything known about it has come through FAA and FCC regulatory filings.
What makes Starfall different starts with its shape. Rather than the traditional cone used by Dragon and every other cargo return capsule in operation, Starfall is a flat disk that measures roughly 10.2 feet (3.1 meters) wide and just 2.5 feet (0.75 meters) tall, and weighing 4,630 pounds (2,100 kg) and capable of returning up to 2,200 pounds (1,000 kilograms) of payload from orbit. The disk geometry maximizes structural efficiency and payload volume relative to mass, and the heat shield mechanically jettisons just before splashdown, allowing recovery teams to retrieve both the capsule and the shield separately from the Pacific Ocean.
The difference with Starfall from existing competitors, such as Varda Space Industries, which has largely built the orbital manufacturing market and returns heavy payloads per flight is that Starfall’s specification is roughly 30 times more per mission, and is designed to be mass-produced and launched on either Falcon 9 or Starship. That combination of volume and launch access is something no standalone startup can replicate, and it puts SpaceX in direct competition with the companies that currently pay it to reach orbit.
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The intended market is orbital manufacturing: pharmaceuticals, protein crystals, semiconductors, and advanced optical fiber that physically cannot be produced in the presence of gravity. FAA documents describe Starfall’s long-term purpose as building a “self-sustaining commercial in-space manufacturing market” and as a potential successor to the industrial capabilities of the International Space Station, which is set to retire in the late 2020s. Military rapid global cargo delivery is a parallel application under active discussion with the Pentagon.
The reason some industries seek manufacturing in space comes down to gravity. On Earth, gravity causes materials to settle, separate, and deform during production. In microgravity, those constraints disappear.
SpaceX’s already controls launch access, which means it currently functions as the landlord for every competitor in the orbital manufacturing return space. Starfall converts that landlord position into vertical ownership, and it would no longer just carry other companies’ capsules to orbit, but rather operate the capsule, own the return logistics, and capture the service revenue directly. Viewed alongside Starlink, Colossus, and the xAI merger, Starfall fits a consistent pattern: SpaceX identifying infrastructure layers that others depend on and moving to own them outright. Orbital manufacturing return is the next layer on that list.
If Tuesday’s reentry, parachute sequence, and recovery demonstration goes as planned, the second FAA-approved test flight follows. A successful pair of demos would position SpaceX to begin offering Starfall as a commercial service, likely first to pharmaceutical and materials science customers before scaling toward the military and broader manufacturing segments.
The Tesla Semi was spotted mounted with ground truth validation equipment as the company nears its looming launch. The Semi is Tesla’s Class 8 all-electric truck, and has been utilized in its earlier stages by many companies like PepsiCo. and Frito-Lay, who have been using it in a pilot program.
The Semi was spotted in Sunnyvale, California, and sports a typical ground truth validation unit that Tesla routinely uses on its vehicles. Ground truth validation is essentially the process of training supervised algorithms to ensure they can perform reliably. Tesla typically performs this on vehicles that are being released soon:
Spotted the new semi adorned with ground truthing equipment. Haven’t seen anyone post this so figured I’d share.
The future is autonomous!!@SawyerMerritt @wholemars pic.twitter.com/qkPDHPUQZ6
— Danny (@dannywinner1) June 21, 2026
The Semi being spotted with this type of validation rig is important because it means the company is working on solidifying a Full Self-Driving model for its commercial vehicle offering. This would be a massive development for not only Tesla but also the logistics industry as a whole.
There are strict regulations on driving hours for commercial truck drivers, and autonomy is a way to potentially combat these issues. FSD is already a widely effective way that owners of typical passenger vehicles take stress out of travel. Even launching a semi-autonomous platform for truck drivers to use to increase safety, reduce fatigue, and increase productivity would be a huge development.
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The Semi has already proven to be an ideal solution for companies that use commercial logistics. It has increased efficiency and reduced operating costs for many companies that have been able to use it in pilot programs.
There are expected to be some bumps along the way. Tesla saw some challenges with FSD on the Cybertruck, as it had never had a vehicle with cameras at that height, so some of the features with FSD were not immediately available. Just a week ago, Tesla launched Actually Smart Summon (ASS) for Cybertruck, nearly three years after the vehicle was first delivered to customers.
Tesla just trademarked MEGAPOD: here’s what it is
SpaceX is launching a secret spacecraft that could change how things are made in space
