Energy
Tesla is growing its workforce as rival carmakers cut jobs to catch up in the EV race
Tesla has a ton of things in the pipeline that will keep it busy for the foreseeable future — from building Giga Berlin, ramping the production of the Model Y in the US and China, rolling out the upcoming Cybertruck, Semi, and new Roadster, to further improving its core battery technology. In order to achieve these goals, Tesla has been on a hiring spree to acquire talent to boost its current workforce. In contrast, other carmakers have been cutting jobs as they start a difficult transition towards sustainable transportation.
“It’s hard to think of another company that has more exciting product and technology roadmap. So super-fired up about where Tesla will be in the next 10 years. If you look back 10 years from today to 2010, we will produce approximately 1,000 times more cars in 2020 than we produced in 2010… and we have also Solarglass and solar retrofit and Powerwall, Powerpack, all those things too. So where we will be in 10 years, very excited to consider the prospect,” Tesla chief executive and co-founder Elon Musk said during the company’s Q4 2019 earnings call.
Tesla Continues Its Push
Elon Musk has turned himself into a solar salesman and has kicked off 2020 by setting the stage for a Solarglass Roof installation ramp in the United States. Musk has also mentioned bringing the Solarglass Roof to other markets such as China and Europe. Aside from looking for roofers, it is also partnering with homebuilders and other residential industry players. Giga New York, where solar panels and other components are made, is also looking to add more employees to its workforce.
Tesla is also seemingly testing the waters to build Giga Texas, where it can potentially ramp the production of the Cybertruck and help its other facilities scale battery production. Amidst all this, Elon Musk has also announced that he will be hosting an AI hackathon to fish for talents who can potentially help accelerate the rollout of its Full Self-Driving suite.
Across the pond, Tesla is busy trying to prepare an industrial property in Grunheide to begin the construction of Giga Berlin, which is poised to go online next year. This Tesla Gigafactory in Europe aims to produce 10,000 vehicles per week and it will need a 12,000-strong workforce to do that. Giga Berlin is currently looking for people to help them in construction, engineering, manufacturing, and operations.
In China, Giga Shanghai is aiming to ramp production of the locally-made Model 3, while starting its program for the Model Y. Tesla is even looking for designers that would help it produce a new vehicle Tesla for the local market and the rest of the globe. Job openings for Tesla China skyrocketed 118% between October last year to February 2020 and have seen a 376% jump in the past year, according to Thinknum Alternative Data’s report. While the coronavirus outbreak in China slowed down job postings recently, the overall hiring activity of the Palo Alto, California-based carmaker is on the upswing across the globe.
Tesla is undeniably the leader in electric vehicles. Through the years, it has been trying to perfect its manufacturing processes, car software technology, and battery capacity. In fact, a recent Model 3 teardown by Nikkei Business Publications revealed that Tesla could be six years ahead of the competition on the hardware front. On the battery front, Consumer Reports recently validated its advantage over other carmakers, and we’re yet to hear the compelling story that will blow people’s minds Elon Musk promised come Battery Day in April.
Tesla Competitors Trying To Catch Up, But That’s All They Can Do — Try
While Tesla keeps on looking for new hires to help it bring its product and technology roadmap into fruition, other carmakers have been cutting jobs. As legacy automakers try to catch up on the electrification of its fleet, most of them need to lay off workers to free funds that they can use for research and development of technology that can come close to what Tesla has had for years.
Last December 2019, Daimler and Audi announced that it will cut 10,000 jobs as the major shift in vehicle technology happens. Audi is also getting rid of 9,500 jobs to free funds for its electrification efforts. Bloomberg News compiled data that revealed carmakers in Germany, the United States, and the United Kingdom are eliminating around 80,000 jobs as they reassess their current workforce in an era of electrification. In China, electric vehicle startup NIO also retrenched about 20% of its workforce. Asian automotive leaders Toyota and Honda have also cut costs to bolster research and development of electric cars and ride-sharing programs.
Tesla has had its own challenges but the company is definitely thriving now, as evidenced by its tangible lead in the EV space. For Q4 2019, Tesla posted revenue amounting to $7.38 billion, beating Wall Street’s estimates. Maintaining profitability, it was able to generate $1.1 billion of free cashflow in 2019. Its stock price also saw a meteoric rise recently propelling its market cap value to $169.16 billion on Feb. 19.
The striking contrast affecting the labor force of Tesla and other carmakers paints the difficult task of traditional automakers who seemed to have been caught flat-footed in a rapidly changing auto industry. Not that these giant car brands do not have the money, but Tesla is just way, way ahead in electrification. With all the activities on the side of Tesla, perhaps legacy carmakers should indeed be frightened.
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.
In a notable intersection of Big Tech powerhouses, Meta, led by Mark Zuckerberg, has partnered with Canadian energy infrastructure giant Enbridge on a significant renewable energy initiative that will rely on battery technology from Elon Musk’s Tesla.
The project, which was announced this week, marks another step in Meta’s aggressive push to power its expanding data center operations with clean energy, dispelling many of the complaints people have about them.
This new development is located near Cheyenne, Wyoming, and will feature a 365-megawatt (MW) solar farm paired with a 200 MW/1,600 megawatt-hour (MWh) battery energy storage system, also known as BESS. Tesla is providing the batteries for the project, valued at roughly $200 million.
The story was originally reported by Utility Dive.
This Wyoming project represents the first phase of Enbridge and Meta’s joint “Cowboy Project.” Once operational, it will deliver power to Meta’s regional data centers through Cheyenne Light, Fuel, and Power under Wyoming’s Large Power Contract Service tariff.
This tariff, originally developed in collaboration with Microsoft and Black Hills Energy, is designed specifically for large loads like data centers. It ensures that the renewable supply serves hyperscale customers without impacting retail electricity rates for other users.
The battery system will operate under a long-term tolling agreement, providing dispatchable capacity that enhances grid reliability. During periods of high demand, the utility can access the backup generation, addressing one of the key challenges of integrating large-scale renewables with the explosive growth of data center electricity demand driven by artificial intelligence.
This latest collaboration builds on prior joint efforts between Enbridge and Meta in Texas, including the 600 MW Clear Fork Solar, 152 MW Easter Wind, and 300 MW Cone Wind projects. Together with the Wyoming initiative, the companies have now partnered on roughly 1.6 gigawatts (GW) of combined solar, wind, and storage capacity.
The deal highlights the intensifying demand for reliable, low-carbon power from technology giants. Meta has committed to supporting its data center growth with renewable energy, joining peers like Microsoft and Google in seeking large-scale solutions. Enbridge’s Allen Capps described the project as “one of the larger utility-scale battery installations supporting U.S. data center operations and growth.”
The involvement of Tesla’s battery technology adds an intriguing layer, linking two of the world’s most prominent tech leaders—Zuckerberg and Musk—in the clean energy transition.
As data centers continue to drive unprecedented electricity load growth across the United States, projects like this one illustrate how hyperscalers are turning to strategic partnerships with traditional energy players and innovative storage solutions to meet both sustainability goals and reliability needs.
Elon Musk
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
SpaceX has secured an option to acquire Cursor AI for $60 billion ahead of its historic IPO.
SpaceX announced today it has struck a deal with AI coding startup Cursor, securing the option to acquire the company outright for $60 billion later this year, while committing $10 billion for joint development work in the interim. The announcement described the partnership as building “the world’s best coding and knowledge work AI,” and comes just days after Cursor was separately reported to be raising $2 billion at a valuation above $50 billion.
The move makes strategic sense given where each company currently stands. Cursor currently pays retail prices to Anthropic and OpenAI to the same companies competing directly against it with Claude Code and Codex. That means every dollar of revenue Cursor earns partially funds its own competition. With SpaceX bringing computational infrastructure to the Cursor platform, that could reduce Cursor’s dependence on OpenAI and Anthropic’s Claude AI as its providers. Access to SpaceX’s Colossus supercomputer, with compute equivalent to one million Nvidia H100 chips, gives Cursor the infrastructure to run and train its own models at a scale it could never afford independently. That one change restructures the entire unit economics of the business.
Elon Musk teases crazy outlook for xAI against its competitors
Cursor’s $2 billion in annualized revenue and enterprise reach across more than half of Fortune 500 companies gives SpaceX something its xAI subsidiary currently lacks, which is a proven, fast-growing software business with real enterprise distribution.
For Cursor, SpaceX’s $10 billion in joint development funding is transformational. Cursor raised $3.3 billion across all of 2025 to reach that $2 billion in revenue. A single $10 billion commitment from SpaceX, even as a development payment rather than an acquisition, dwarfs everything Cursor has raised in its entire existence. That capital accelerates product development, enterprise sales infrastructure, and proprietary model training simultaneously.
The timing is deliberate. SpaceX filed confidentially with the SEC on April 1, 2026, targeting a June listing at a $1.75 trillion valuation, in what would be the largest public offering in history. The company is expected to begin its roadshow the week of June 8, with Bank of America, Goldman Sachs, JPMorgan, and Morgan Stanley serving as underwriters. Adding Cursor to the portfolio before that roadshow gives IPO investors a concrete enterprise software revenue story to price in, alongside rockets and satellite internet.
The deal also addresses a weakness that became visible after February’s xAI merger. Several xAI co-founders departed following that acquisition, and SpaceX had already hired two Cursor engineers, signaling where its AI talent strategy was heading. Cursor, for its part, faces a pricing disadvantage competing against Anthropic’s Claude Code.
Whether SpaceX exercises the full acquisition option before its IPO or after remains the open question. Either way, this deal reshapes what investors will be buying into when SpaceX goes public.
Tesla looks keen to bring larger Model Y L to the U.S.
One of Tesla’s biggest threats just got banned in the U.S.
