News
Tesla prepares for ‘monstrous’ Q2 with Fremont factory running 10-20% above capacity: analyst
Tesla (NASDAQ: TSLA) is preparing for a “monstrous” second quarter as Trip Chowdhry of Global Equities Research released a new note this morning that indicates the Fremont factory in Northern California is running as much as 20 percent above capacity. On the heels of its biggest quarter in company history, Tesla is working to keep its streak of growth in vehicle deliveries intact. Recent shutdowns of the Shanghai production facility in China have hindered Tesla’s outlook for Q2, but the automaker is rebounding in the best way possible as demand increases.
The Fremont factory has an annual production run rate of 600,000 vehicles, Tesla stated in its most recent Shareholder Deck. It builds all four currently-offered Tesla models, and is the only factory to manufacture each vehicle in Tesla’s lineup. Breaking down to about 150,000 vehicles per quarter, Tesla could be operating with at least 30,000 additional cars coming out of Fremont in Q2, a hefty supplemental number to accommodate lost progress in Shanghai this quarter.
Tesla workers on Fremont’s assembly line. [Credit: Tesla]
In April, Tesla was forced to shut down the Gigafactory Shanghai facility due to a COVID-19 outbreak in the region. The Shanghai production plant was kept dormant for three weeks, all but axing Tesla’s hopes to continue a streak of growth in vehicle deliveries. Tesla’s 310,048 deliveries in Q1 2022 outshined any previous quarter, but assistance is definitely needed if the automaker plans to continue growth in production and deliveries.
Chowdhry said his routine checks on Tesla’s Fremont facility had been evidence of a massive production push in Northern California. This month, especially, has shown major progress. “May 2022 is off to an extremely strong Production, Shipments, and Deliveries,” Chowdhry said in a note. “Fremont Factory is running 10% to 20% above capacity” and comments that “2Q is shaping to be a Monstrous Quarter.”
Tesla is considering a significant expansion of its Fremont Factory
The note also stated that recent imagery of the Fremont factory seems to show more logistics vehicles arriving at Fremont, especially when comparing daily pickups of completed cars to the first quarter. Chowdhry estimates there are at least 20 percent more shipping trucks arriving at the facility compared to last quarter, which could indicate any number of things, including an increased need for vehicle haulers to push completed vehicles to their customers.
While the assessment from Chowdhry is based on his perspective, there is certainly an indication that Tesla could be using Fremont to pick up the slack from Shanghai. The automaker has been known to push Fremont past capacity in past quarters, especially during the last few weeks of December, to put an exclamation point on a fiscal year. However, Tesla is also ramping manufacturing at its two new production facilities in Austin, Texas, and Brandenberg, Germany. These two factories will take less than a year to reach full production, according to CEO Elon Musk’s estimates on last quarter’s earnings call.
Chowdhry remains bullish on Tesla with a Street-high $2,300 price target and a ‘Buy’ rating on the stock. Tesla shares have tumbled through the past week as Elon Musk sold some $8.5 billion in stock to fund an acquisition of social media platform Twitter.
Disclosure: Joey Klender is a TSLA Shareholder.
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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
