The demand for the Tesla Model Y Long Range variant is skyrocketing as the company now outlines the soonest possible date to take delivery in September, meaning the vehicle is nearly sold out in Q3, even though it is still Q2.
After releasing the all-electric crossover last year, Tesla CEO Elon Musk predicted that the Model Y would overtake the Model 3 in terms of popularity. In several markets, like China and more locally in California, the Model Y has already established itself as the overachieving little brother because people are tending to buy the all-electric crossover more than the all-electric sedan.
As Tesla continues to ramp up its manufacturing efforts for all of its vehicles, the Model Y is the main focus of the automaker as it expands into new regions. In Austin at Giga Texas, the Model Y and the Cybertruck will take center stage when the facility begins manufacturing the vehicles by the end of 2021. This plan is reflected with the Model Y in Europe, where Tesla’s first Gigafactory on the continent in Germany will manufacture the Model Y straight out of the gate later this year.
However, demand is becoming a bit overwhelming for Tesla as it aims to complete two new factories by the end of 2021. The company’s cars are becoming so popular in so many regions that delivery dates are becoming more prolonged, meaning the need for additional production facilities is becoming more apparent as the transition to sustainable energy continues to leap forward.
It was hinted in early May that Tesla had already sold out of Q2 production volume because of increasing demand. While that is still an amazing accomplishment, Tesla is already starting to sell out for the next quarter with at least one of its cars. The Model Y Long Range is proving to be Tesla’s biggest seller, it appears, as the company is estimating the earliest delivery date will be September, the final month of 2021’s Q3.
Credit: Tesla
The demand has led to Tesla increasing the prices of the Model Y by $3,500 so far this year, after cutting the cost of the car significantly in February. Tesla has avoided encountering severe problems due to the global chip shortage. Still, demand and some parts shortages have resulted in Tesla hiking the prices of its two mass-market vehicles in 2021.
Tesla has made several changes to the Model Y this year, including removing a lumbar-support option in the passenger’s seat. One of the biggest changes, however, is Tesla’s removal of radar equipment in the Y and the 3, a move that Tesla has long considered in its quest for Full Self-Driving.
Nevertheless, the demand for the Model Y is skyrocketing based on recent registration figures. The Model Y overtook the Model 3 in April, according to the EV Sales Blog’s Global sales figures. It sold 16,232 units compared to the Model 3’s 14,980. The Model 3 retained the title of most popular EV in 2021, but the Model Y sits in third, just behind the Wuling HongGuang Mini EV from the GM-SAIC-Wuling venture in China.
CEO Elon Musk predicted earlier this year that the Model Y would be the best-selling vehicle globally in 2022. “When it comes to Model Y, we think Model Y will be the best-selling car or vehicle of any kind in the world and probably next year,” he said during the Q1 2021 Earnings Call. “So I’m not 100% certain next year, but I think it’s quite likely. I’d say more likely than not that in 2022, Model Y is the best-selling car or truck of any kind in the world.”
The Model Y was the first vehicle in Tesla history to be profitable in its first quarter of production. The demand for the Model Y and its evident growth through sales figures from various outlets bodes well for Tesla’s financials. The company will aim for its eighth-consecutive profitable quarter when it reports its earnings sometime next month.
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.”
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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
