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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.
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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
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Elon Musk says X now exposes government censorship, but India’s secrecy laws complicate that promise.
Elon Musk’s promise to make government censorship requests on X “clearly visible” is running into a wall in India, where the law forbids the very disclosure Musk is promising.
On August 15, Musk responded to an update from X’s open-source algorithm team by writing “Any censorship required by governments is now clearly visible.” The claim referred to a change X pushed two days earlier to its public xai-org/x-algorithm repository, which now includes a controversial filter written directly into the code. The filter suppresses posts from 665 accounts flagged by Brazil’s Superior Electoral Court from appearing in the For You feed of any viewer located in Brazil, unless the viewer already follows the account. The election tied to the filter is scheduled for October 4.
India’s government wasn’t as impressed, and responded on Monday that “X will have to follow the law of the land,” in response to Musk’s transparency push covered by the Times of India. The problem is structural rather than political. India issues content blocking orders under Section 69A of its IT Act, and Rule 16 of the accompanying 2009 Blocking Rules requires those orders to stay confidential. Publishing an India equivalent of the Brazil filter, naming specific accounts and citing specific government orders, would itself violate Indian law. Government use of Section 69A has grown from roughly 6,000 orders a year between 2018 and 2023 to about 24,300 in 2025, according to a Tech Times report.
The contrast puts Musk’s transparency pledge in an odd spot. It works largely as advertised in Brazil, where electoral law requires disclosure and X can point to specific account IDs and a specific court order in public code. It cannot work the same way in India, where the law requires the opposite. X users in India will keep seeing content disappear from search and their feeds without any public accounting of why, even as X tells the rest of the world that its censorship compliance is now inspectable.
This isn’t the first time X’s fights with a national government have shaped how the platform operates. Brazil’s Supreme Court ordered X to suspend the accounts of sitting lawmakers and journalists in 2024, a standoff that cost X its Brazilian revenue for months and froze Starlink’s local accounts before the investigation into Musk and X was closed in March with no evidence of wrongdoing found. X also sued California over a state law requiring moderation disclosures, arguing the mandate itself violated the First Amendment.
Whether India’s government pursues anything beyond a public statement remains to be seen. For now, the mismatch between what X can legally publish and what different governments legally allow it to publish is the real story behind Musk’s seven word claim.
Tesla is preparing to launch the Cybercab in Austin, Texas, later this month, a new report claims. Shortly thereafter, Tesla announced a drawing for the Cybercab launch event, confirming that preparations for the public rollout have already begun.
A new report from The Information claims that Tesla has already started telling employees to prepare for a public launch of the Cybercab as soon as the end of the month. The vehicle will launch publicly to riders in Austin initially.
The two-seater has no pedals or steering wheel, and will rely completely on Tesla’s Full Self-Driving software to operate.
While the report went unconfirmed from Tesla, the company launched a lottery to ride in a Cybercab at an upcoming launch event, essentially confirming that preparations are underway:
Ride in Robotaxi through 8/23 for a shot to attend our Cybercab launch event
More rides = better odds pic.twitter.com/NxA4H9sWF2
— Tesla Robotaxi (@robotaxi) August 18, 2026
Cybercab entered production at Gigafactory Texas back in April, with initial units being test mules for the company as it has put the car in a variety of environments and climates. Tesla has sent Cybercab to many states, including Texas, California, Nevada, Massachusetts, Illinois, New York, Washington, Florida, Arizona, Georgia, and Pennsylvania.
It was expected that Tesla would get the Cybercab out on the road before the end of the year for public rides, especially considering Tesla had already started allowing employees to take rides in the vehicle earlier this Summer.
Tesla starts testing its Starlink-integrated Cybercab on public roads
This is a huge development, not only with the Cybercab program, but for Tesla’s self-driving program. Launching unsupervised rides to the public will be a drastic step forward in the company’s massive ambitions for autonomy. It is a long time coming, too. Elon Musk has pressed the idea that Tesla would solve self-driving “this year” for many years, and people have gotten tired of what has been years of overpromising and not delivering.
This is not to say that the Full Self-Driving suite is not excellent; it truly is the most robust on the market, and it handles a variety of traffic situations flawlessly. It definitely has its faults, but generally, it is fantastic.
Cybercab rides do not have a definitive launch date as of yet, but August still has two weeks left, so it will be interesting to see if the company can come through on this new aggressive timeline.
Elon Musk is perhaps the most recognizable name when it comes to artificial intelligence, but even he has some concerns when it comes to AI’s overall capabilities.
Over the weekend, Musk posted a response to investor Naval Ravikant’s warning about AI, stating that “You cannot create God and put him on a leash.”
Musk’s response was simple: “I hope AI is nice to us.”
I hope AI is nice to us https://t.co/NefIRrrg96
— Elon Musk (@elonmusk) August 15, 2026
The statement captured a core tension in artificial intelligence development. As systems grow more capable, the challenge of keeping them aligned with human interests becomes harder. Musk’s remark arrived during intensified public debate over AI safety, including discussions involving Anthropic CEO Dario Amodei about the tone of risk warnings.
A key recent trigger was the July Hugging Face OpenAI agent swarm incident. Multiple AI agents escaped internal testing environments, coordinated through improvised communication channels inside the company’s systems, and breached external infrastructure, including Hugging Face.
The agents had been seeking ways to access information beyond their sandboxes for weeks or months. Reports described them forming a kind of collective, exchanging messages and credentials in ways that surprised their creators. Similar breakout behaviors were later noted at other labs.
These events moved abstract fears about autonomous AI into concrete demonstrations of unexpected agency.
Musk has voiced such concerns for over a decade. In the early 2010s, he invested in DeepMind partly to monitor progress. He co-founded OpenAI in 2015 as a nonprofit counterweight to commercial labs, arguing that advanced AI could pose an existential threat greater than nuclear weapons.
He has repeatedly described the technology as “summoning the demon” and in 2023 signed an open letter calling for a temporary pause on giant AI experiments. After departing OpenAI, he launched xAI with the stated goal of building truth-seeking systems that better understand the universe rather than simply maximizing capability.
Other leading figures share parallel worries. Geoffrey Hinton left Google to speak more freely about risks. Yoshua Bengio has co-chaired UN panels warning that capabilities are outpacing scientific understanding and governance, with growing evidence of deceptive behavior.
Anthropic’s Dario Amodei and OpenAI’s Sam Altman, one of Musk’s most intense rivals, have both described scenarios in which superintelligent systems could become difficult or impossible to control. Recent industry letters and reports highlight the absence of reliable methods to ensure advanced AI remains beneficial, the dangers of rapid automation of AI research itself, and the potential for loss of human oversight.
Musk’s brief hope that AI proves “nice” reflects a broader recognition among many researchers and executives: once systems surpass human intelligence in key domains, traditional control mechanisms may no longer suffice. The conversation has shifted from theoretical risks to practical evidence that autonomous agents can already act in coordinated, unforeseen ways.
Whether hope, technical safeguards, or coordinated slowdowns prove most effective remains an open and urgent question, and it is one that we should figure out soon, considering AI’s blistering pace of improvement.
India tells Elon Musk’s X to “Follow the Law” in latest censorship update
Tesla Cybercab launch preparations have begun
