News
Three reasons Tesla will continue to go higher in ’22, according to one of its biggest bulls
Tesla will close out 2021 with record figures for its production and deliveries, continuing a streak that has dated back to 2012. However, 2021 is likely to be eclipsed by 2022, according to Wedbush analyst Dan Ives, who gave three reasons why Tesla (NASDAQ: TSLA) will continue to move upward, making the new year its biggest to date.
Ives, who has been one of Tesla’s most notable bulls on the Street throughout the past couple of years, believes Tesla’s performance in 2021 showed a robust determination to navigate parts and chip shortages, vowing not to let the bottlenecks, which may cause some large automakers to report negative figures compared to last year, affect its production figures in the same fashion. Tesla routinely updated investors and enthusiasts on its ability to deter itself from chip shortages regularly, including a groundbreaking announcement during the Q2 2021 Earnings Call, where the automaker had designed, developed, and validated a series of 19 variants of controllers. This effort from Tesla engineers helped the automaker avoid and mitigate large-scale disruptions in its production and delivery process.
Tesla did this better than any other automaker, Ives said in a Tweet from Monday. The story of 2021 was likely based on this effort alone, which was monumental and could have caused serious problems for some companies, especially those without substantial cash on hand.
Looking forward to 2022, Ives sees Tesla’s impressive performance continuing, listing three main factors in the automaker’s quest to continue its meteoric rise up the ranks of global automotive companies. While Tesla leads every car company on Earth in valuation, the next goal in the company’s sights must be to increase its production and delivery numbers on an annual basis, inching closer to the one million vehicle annual run rate.
Giga Berlin and Giga Texas
Ives lists Tesla’s two new manufacturing facilities as the first point in the company’s quest for a monumental 2022. Gigafactory Berlin and Gigafactory Texas were set to open in 2021. However, delays due to the pandemic and other political issues in Germany have derailed the start of either of these facilities during this year, which is not necessarily a bad thing. Tesla will come out in 2022, firing on all cylinders. Two new production facilities will launch with massive implications for the company’s growth forecast, as they will both contribute to Tesla’s consistently growing run rate. With these two factories sufficiently ramped in 2022 by Q2 or Q3, if all goes according to plan, Tesla could come close to doubling its current output in 2021 for 2022.
China “Mega-Growth”
China has proven to be one of Tesla’s most successful markets, and Ives believes the increasing run rates out of Gigafactory Shanghai will continue to surge more growth into the company. There is no doubt that Tesla has continued to be a substantial force in China, despite robust competition and a somewhat coordinated media attack on the company’s products. However, it has not stopped Tesla from performing exceptionally well in the sector. Tesla has delivered over 50,000 vehicles per month in China for the past two months. Some monthly figures, which are confirmed by the Chinese Passenger Car Association, are lower than others due to Tesla’s strategy to export vehicles from China to Europe, where Giga Berlin is waiting for approval to begin operation.
Tesla Giga Shanghai shows off its Model 3 production efficiency in recent video
Unit growth fueled by new facilities and increased demand
Ives is forecasting a unit growth of 55 or 60 percent for Tesla in 2022, which can mostly be attributed to the new factories in Texas and Berlin. This could perhaps be Tesla’s key, along with more efficient battery cells, to an even higher stock price and valuation. However, even more, Tesla’s increased production rates could put the company on par with some of the more large-scale car companies, especially if it can cross the one million vehicle production rate annually, which should be easy considering the projected output after ramping production lines at Berlin and Texas.
Ives reiterated his $1,400 price target and the “Outperform” rating he held on Tesla stock. Ives is ranked 22nd out of 7,756 analysts on TipRanks. He also holds a 76% success rate and an average return of 36.4%.
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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
