The second edition of the Tesla Roadster was initially slated for production and delivery in 2020, but two years later, the car still has not been produced, and details are still slim. Here’s what we know about the next-gen Tesla Roadster.
Tesla CEO Elon Musk unveiled the next-gen Tesla Roadster in 2017 during the reveal event of the Tesla Semi. It was not expected, and Musk surprised everyone in the room when the new design was released to spectators. Since then, various details have been released but it still remains unclear when the vehicle will actually enter production.
The Roadster might be able to hover
Musk unveiled a potential SpaceX package for the Roadster in 2018, which would utilize SpaceX cold-gas thrusters to enable short-term hovering abilities. Tesla has reiterated this potential on several occasions, describing a potential 1.1-second 0-60 MPH acceleration time. It is still unclear whether the FAA will have anything to say about the vehicle’s potential hovering capability, but the 1.1-second 0-60 time would be Tesla’s fastest by a considerable margin, and one of the fastest on Earth.
The new Roadster will actually do something like this https://t.co/fIsTAYa4x8
— Elon Musk (@elonmusk) January 9, 2019
You can still reserve a Tesla Roadster
Tesla Roadster reservations are still available on Tesla.com. “Roadster reservations require an initial $5,000 credit card payment, plus a $45,000 wire transfer payment due in 10 days. Reservations are not final until the wire transfer payment is received,” Tesla describes. Founders Series Roadster reservations are closed.
Credit: Tesla
Production of the Tesla Roadster was expected to start in 2019, 2020, 2021, 2022, and now 2023
Production dates of the Tesla Roadster have shifted several times in the vehicle’s history. After production was expected to begin in 2019 with deliveries in 2020, Tesla shifted production to “the next 12 to 18 months” during the Q2 2020 Earnings Call. This pushed production to mid-2021 as the pandemic raged on and limited production output across the industry.
In January 2021, Musk once again delayed production to 2022, stating engineering on the vehicle was set to be completed late last year.
Finishing engineering this year, production starts next year. Aiming to have release candidate design drivable late summer. Tri-motor drive system & advanced battery work were important precursors.
— Elon Musk (@elonmusk) January 28, 2021
In late 2021, Musk once again delayed production to 2023 as long as Tesla could avoid “mega drama” with the supply chain in 2022. It is relatively unknown if 2022’s supply chain was “mega drama,” as the description is objective. However, there are a lot of indications Tesla could be ready to introduce some new products to its lineup next year.
The Cybertruck is ready to begin production early next year, and a low-volume vehicle like the Roadster could be a great test of Tesla’s resilience and supply chain health if it can begin manufacturing the supercar in 2023.
The Tesla Roadster will likely be built in California
Tesla will likely build the vehicle in California.
“We think, probably, also the Tesla Roadster, a future program, would also make sense in California,” Musk said during the company’s Q2 2020 Earnings Call.
Fremont is the only plant that currently builds all four Tesla models, and it continues to manufacture low-volume vehicles like the Model S and Model X, which only make up a small percentage of the company’s overall deliveries each quarter. Fremont is space-confined, but filings and other plans have indicated Tesla is expanding the plant to make room for more projects.
Unexpectedly, the automaker will produce Cybertruck battery packs at the Fremont factory, and the 4680 battery is built down the street at Tesla’s Kato Road facility.
Gigafactory Texas will be reserved for mass Model Y, Cybertruck, and potentially Semi production in the future.
If you want to see the Roadster today, it is currently on display at the Petersen Automotive Museum in Los Angeles as part of the “Inside Tesla: Supercharging the Electric Revolution” exhibit.
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Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
News
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
