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Tesla to dominate 2021, but other winners and losers in EVs to be determined
It is no secret that Tesla is expected to dominate 2021’s electric vehicle market as the company begins to show it has the robust nature it takes to grow in such a competitive market. After delivering just shy of 500,000 vehicles, according to its own Shareholder Deck via its Investor Relations website, Tesla is poised to increase that number even more this year, especially as two new Gigafactories are expected to take shape and begin rolling out EVs later this year.
Tesla’s undeniable dominance in the EV sector has been accredited to several things: hard work, strategy, luck, and seeing that EVs would be the future well before anyone really knew. Tesla has truly caused an entire industry to rethink its future strategies regarding the development of its products. Instead of slight revisions to an ICE model that has been in production for 40 years, automakers are scrapping the old-faithful vehicles that once ruled production processes for all-electric cars that are supplying the world’s brightest engineers and manufacturing experts with constant headaches.
But past the overwhelming importance for automakers to adopt EV strategies moving forward, 2021 will likely be a “make or break” year for some of the biggest names in vehicle production. While there are undoubtedly going to be winners who will join Tesla on the upward trend toward EV adoption, there are others that will fade away. Unfortunately, there is no way to look into the future and see who will win and who will lose, but the writing that currently appears on the wall will tell many investors of the EV movement who is making a commendable effort of trying to adopt new strategies and move toward sustainable transport. However, others are still stuck with the notion that there is time. However, the longer these companies wait, the further the lead will be for Tesla, who once sat in the shadows of automotive legacy, waiting for its chance to pounce.
Credit: teslaphotographer/Instagram
Deutsche Bank analyst Emmanuel Rosner upped his price target on Tesla stock on Thursday from $705 to $890, The Street reported. After already upgrading Tesla’s outlook once in 2021, Rosner is still convinced of the automaker’s dominance moving forward, looking at 2021 as the year of the EV.
But it’s not all bright-eyed and bushy-tailed for Rosner because he believes that some automakers will eventually phase themselves out of the race to EV dominance. Although nearly every company in the world that makes cars has mentioned a possible adoption to electric transport, there are still some that sit with very vague plans. Interestingly, these companies claim that Tesla will eventually fall and that scalability and software will only last so long. Sure, but Tesla has software nearly perfected, while some of the most robust and refined companies in the world are still stuck with head-scratching as their only outlet to vent their frustration.
Rosner’s note says that 2021 “should indeed see a material acceleration of electric vehicle roll-outs, and provide much clarity on winners and losers from electrification.” It’s true. We will see more EV plans this year than ever before. Companies like Rivian and Lucid plan to launch their first deliveries later this year, Tesla will be opening Giga Berlin and Giga Texas, only increasing production outputs from the automaker, and Ford will eventually begin rolling out Mach-E models after an unexpected delay of hundreds of models. But as most of us know, there is a fine line between launching a product and launching a product successfully.
What will 2021 entail for the EV sector? Mostly good things if you believe that President Joe Biden will replace an emphasis on climate control and pollution reduction. The President reactivated the U.S.’ inclusion in the Paris Agreement yesterday, a move that will excite many of the environmentalists out there. EVs undoubtedly contribute to a cleaner world, but can automakers contribute to the global transition to sustainable passenger transport? Who will win and who will lose?
What do you think? Leave a comment down below. Got a tip? Email us at tips@teslarati.com or reach out to me at joey@teslarati.com.
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
