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Tesla’s goal of producing 1 million cars per year is closer than everyone thinks
In classic Tesla fashion, Elon Musk shared an almost insane goal back in 2016. While speaking with analysts in a conference call, Musk remarked that he believes Tesla has a shot at achieving a production rate of 1 million cars a year. This statement was met with much criticism, considering that just the year prior, Tesla delivered just over 50,500 vehicles.
As the US auto industry is starting what could very well be a long road to recovery from a pandemic, it is starting to become evident that Musk’s goal may end up being feasible after all.
The year has been cruel to the automotive industry. Back in April, North American car factories that are known to produce about a million vehicles a month ended up producing fewer than 5,000 units. But while the year has been painful for the car industry, some recovery started becoming evident in recent months. Just last month, some large automakers reported sales that beat their 2019 numbers, hinting that an upswing may be on the way.
Amidst this trend is the one outlier in the US auto industry: Tesla. The electric car maker has felt the full brunt of the pandemic, as shown in the extended closure of its Fremont Factory from mid-March to mid-May. Despite this, the company was able to show a profitable second quarter, and this past Q3, it delivered a record 139,300 vehicles, up 50% from Q2 2020. The company also produced 145,036 cars in the third quarter, up 76% from the second quarter.
What is rather remarkable is that Tesla has decided to stand by its initial goal of delivering half a million cars this 2020. This target was already ambitious without the pandemic. With the pandemic, the company’s refusal to adjust its delivery targets seems downright insane. Yet if the company’s Q3 and potential Q4 results are any indication, Tesla may actually be closer to its 1-million-car-per-year goal than expected.
Tesla has delivered about 318,000 vehicles so far this year. For Tesla to meet its goal of delivering 500,000 vehicles in 2020, the company would have to deliver over 180,000 cars in the fourth quarter. This is yet another record for the company, and it is one that would likely be challenging. RBC Capital Markets analyst Joseph Spak, in a statement to The New York Times, noted that while 500,000 cars is “not an unattainable goal,” achieving it now “seems increasingly difficult.”
Yet despite these challenges, the fact that Tesla seems to be in striking distance of its pre-pandemic 2020 delivery goal represents an incredibly notable shift for the company. Just a little over a year ago, after all, Tesla was a much different automaker. It was still an embattled EV company, seemingly scrambling to raise money while TSLA short-sellers circled like sharks smelling blood in the water. Tesla ultimately proved its critics wrong, posting four profitable quarters as of Q2 2020.
If Tesla could come close or achieve its goal of producing and delivering over 180,000 vehicles in Q4 2020, the company would only be 70,000 cars short of a 250,000-vehicle-per-quarter run-rate. Once that is achieved, hitting 1 million cars per year in both production and deliveries will only be a matter of time. Granted, this is a rather ambitious step, but one must note that Tesla is pretty much taking on 2020 with just one and a half factories.
Today, Tesla only produces cars in two sites: the Fremont Factory and Gigafactory Shanghai. And even then, Giga Shanghai is not yet fully ramped, with the facility yet to start Model Y production and the Model 3 line has only started operating with 3 shifts. This means that this year, Tesla has pursued its ambitious goals with a main factory in the US that was closed for over a month and a Chinese plant whose Phase 1 is now just hitting its stride.
These circumstances will likely change by next year. Tesla is in the process of building two new vehicle production facilities: Gigafactory Berlin and Gigafactory Texas. Both facilities are designed to produce high-volume vehicles, with the German plant manufacturing the Model Y and Texas building the Cybertruck, a vehicle that has received well over half a million orders, as per remarks from CEO Elon Musk.
Of course, Tesla’s production and deliveries still only comprise a small part of the auto market. Yet despite this, the company’s rapid rise and the equally quick emergence of the electric vehicle sector means that Tesla is poised to dominate an industry that is still forming. Michelle Krebs, an executive editor at Cox Automotive, a market research firm, said it best in a statement to the NYT.
“Tesla is the EV market right now. It’s still a tiny part of the market, and they are going to face more competition, but they are now well established,” she said.
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
