Tesla and other companies are actively developing self-driving technologies and driverless ride-hailing platforms, and with President-elect Donald Trump’s transition team already focused on autonomous vehicles, the tech is highly expected to be a major theme in 2025.
According to a Reuters Breakingviews prediction report on Monday, Trump’s moves to minimize regulations surrounding autonomous vehicles and create a federal framework for the technology are expected to supercharge the industry—as increased competition emerges in the U.S. and beyond.
With Tesla CEO Elon Musk also set to play a large role in Trump’s administration, heading up the Department of Government Efficiency (DOGE), the company’s own developments in the sector could also stand to benefit substantially. Reuters also predicts that self-driving pilots could expand under the administration, especially as developers aim to increase the amount of data used to train their systems.
READ MORE ON SELF-DRIVING REGULATIONS: U.S. agency proposes rules for self-driving vehicle incident reporting
Last month, the Trump transition team said that it was already aiming to create a federal self-driving vehicle framework. Additionally, the team earlier this month was reported to be ditching federal requirements on automated driving tech crash reporting, coming as one example of the administration’s aims to streamline regulatory processes in the industry.
Internationally, the Society of Automotive Engineers (SAE) categorizes vehicle automation into five automation levels, which are generally adopted in conversations about robotaxis in the U.S. market as well. You can see these categories below, with Level 3 and above generally considered to be full automation, at least at times, while Level 2 and below are considered partial automation.
Credit: SAE International
According to the data firm Canalys, just 5.5 percent of vehicles sold this year have included Level 2 or more assistance features, such as cruise control and automated lane changes. By 2025, however, Citi research has suggested that models in China below 200,000 yuan (about $28,000) will have these features, playing a major role in consumer demand.
In China, at least 19 companies are currently testing fully autonomous vehicles, and Goldman Sachs expects the country to see as many as 90 percent of consumer sales to have features of Level 3 autonomy or greaterby 2040, compared to just 65 percent in the U.S.
While these technologies are emerging, McKinsey predicts that self-driving could become a $400 billion industry by 2035. Google parent company Alphabet runs Waymo, a Level 4 driverless ride-hailing service that already offers paid rides, while others, including Pony AI and Baidu also offer rentable self-driving vehicles in select areas.
BYD has invested $14 billion into self-driving, Toyota has around 1.7 trillion yen ($11.3 billion) going toward software, while Volkswagen has invested $700 million into China’s Xpeng Motors. Li Auto and Xiami are also considered potential competitors in these spaces, and 2025 could prove a big year for commercial self-driving hopefuls.
Tesla’s Supervised FSD program, Cybercab unveiled
Meanwhile, Tesla isn’t yet operating a paid ride-hailing service, though it gathers data through owner use of its Supervised Full Self-Driving (FSD) software. Tesla has touted the potential scalability of its Supervised FSD in the past, given that it’s available at least in some form in all of the company’s vehicles.
Musk has also regularly talked about a future in which owners of its vehicles could use an Unsupervised FSD to generate money by giving robotaxi rides while not normally in use.
On that theme, Tesla unveiled the Cybercab in October, a fully autonomous, two-seat vehicle with no pedals, set to eventually make it to the market as a driverless ride-hailing vehicle. It’s also set to be equipped with wireless charging and make use of an automated cleaning robot, offering top-to-bottom autonomy for owners.
MORE ON FSD SUPERVISED: Watch Tesla’s FSD v13.2 navigate away from park in a tricky situation
Tesla skeptics, Waymo’s driverless ride-hails, GM’s Cruise drives into the sunset
Despite the unveiling, some have shared skepticism around how long the vehicles could take to reach the market, especially given that production isn’t set to begin until 2026 with commercial deliveries aiming for “before 2027,” according to Musk during the October 10 “We, Robot” unveiling event.
On Monday, analyst Gary Black also predicted that fewer than 50 percent of Tesla owners would join the company’s robotaxi fleet, while a Guggenheim researcher in October said Tesla was “extremely unlikely” to reveal a credible path to robotaxi commercialization in the next 12 to 24 months.
Others like Waymo are some of the first companies operating paid driverless ride-hails, and the Google-run firm said in August that its robotaxis were already giving 100,000 paid self-driving rides per week. Meanwhile, General Motors (GM) announced this month that it will officially end funding for its commercial self-driving arm Cruise, after one of the company’s driverless vehicles last year ran over and pinned a pedestrian in San Francisco.
ALSO RELATED:
- Tesla China FSD approval expected by end of 2024: Musk
- Waymo to test self-driving vehicles in another country in 2025
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.
California regulators add new reporting requirements for self-driving cars
Need accessories for your Tesla? Check out the Teslarati Marketplace:
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
