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Tesla’s 2020 Aftermath: A look at the shorts who said 500k was ‘absurd’
Tesla’s 2020 showing has created an aftermath of reflection from bulls and bears alike. Despite the company coming off of a record year with a massive 500,000 vehicle delivery and production rate, which was considered “absurd” by some short-sellers in years past, Tesla proved the doubters wrong once again.
Everyone knows that the stock market is really an unpredictable and unfathomably tough thing to read. Some of the world’s best analysts can misread even the slightest bit of data and be miles off of what a particular stock accomplishes. Tesla, which is one of the more polarizing stocks despite its 700% climb in 2020, has had doubters since day 1. The difference between doubters of Tesla and doubters of other companies is that Tesla shorts and bears are some of the most vocal on Wall Street because the company’s momentum and hype have been talked about for nearly a decade.
2020 was easily the toughest year for the U.S. automotive market since the Great Recession of 2008. Tesla was one of the few companies that accomplished the feat of sustaining growth through the year of the COVID-19 pandemic, which crippled many industries, not just the automotive one, for most of the year. However, doubts on Tesla set in way back when the company started in 2008. Six years after Tesla built the original Roadster, analysts were still curious about the automaker’s capabilities moving forward and doubted that it would be able to scale its production to half-a-million cars by 2020. The old saying goes, “hindsight is 2020,” and as Tesla reached its goal for the year, it is easy to sit back and judge those who were wrong. However, their reasoning for not reaching 500,000 vehicles was completely flawed, and everything Tesla said it would do years ago has been accomplished.
Mark Spiegel called 500,000 cars in 2020 “absurd”
Mark Spiegel is a notable Tesla short-seller and has been bearish on the automaker’s stock for years. In 2014, Spiegel posted an article to Seeking Alpha, titled, “Why Projections For Tesla To Sell 500,000 Cars In 2020 Are Absurd.”
Spiegel used data like the compound annual growth rate to support his evidence, stating, “If Tesla sells 35,000 cars this year, 500,000 sales in 2020 would imply a six-year CAGR of 56%.” Additionally, Spiegel did not believe that Tesla could scale growth at that rate in six years because “no complex product manufacturer has ever grown that quickly from a revenue base of $3 billion or more.” But hey, there is a first time for everything.
Microsoft was able to scale its CAGR by 32.1% from 1993 to 1999, which is a six-year time span and was identical to Tesla’s outlook that was challenged in the 2014 article. While Microsoft managed a remarkable 32.1% CAGR because of the evergrowing popularity of the computer and other technology, Tesla’s overwhelming growth throughout the same timespan was due to tech developments, industry influence, proving affordability of electric cars, and a consistent growth rate that proved the company was here to stay.
Spiegel’s outlook for 2020 was 186,000 cars sold by Tesla, but the company managed to nearly accomplish this figure in Q4 alone, as it delivered 180,570 cars in the final three months of the year. Spiegel was way off in his predictions, and Tesla’s domination in 2020 was just one of many examples of analysts getting it completely wrong.
Tesla wasn’t a prime candidate for scaling its products, according to Thomas Bartman
In an April 2015 article in the Harvard Business Review, Thomas Bartman wrote an opinionated piece called, “Why Tesla Won’t Be Able to Scale.” Bartman claimed that Tesla’s EVs were “not actually disruptive, which will likely cause it to struggle to scale.” Bartman didn’t have the Model 3 to use as a benchmark at the time, but he doubted that Tesla would be able to sell a vehicle for $35,000, which it did.
“Tesla plans to launch a ‘mainstream’ luxury car, the Model 3,” Bartman wrote, “which it estimates will cost $35,000, although analysts have begun to question the feasibility of reaching that price point.” Tesla did discontinue this variant in late 2020, but the Standard Range Model 3 was available for over three years. The Standard Range+ was only $2,770 more and was more popular because of the range. Also, the SR was not listed on Tesla’s website and had to be ordered in a showroom or over the phone.
Bartman believed that Tesla had launched two good vehicles in the Model S and Model X, but legacy auto would quickly catch up after a few years. However, this has been proven wrong repeatedly, as companies like Mercedes-Benz and Audi have failed to launch effective and competitive EVs that are comparable to Tesla’s models globally. The Model 3 continues to dominate in China and the U.S., and the Model Y is gaining plenty of momentum as it nears the one-year mark since its first deliveries.
Tesla China Model Y attracts flocks of customers in local showrooms
“As Tesla attempts to scale, it’s likely to discover that its internal impediments, combined with competitor responses, make it much harder than anticipated,” Bartman said. “The symptoms of these problems will manifest as product launch delays, cost overruns, and higher than expected prices.”
The only issue is that Tesla was able to internally combat production issues, even though Elon Musk has admitted many times that Model 3 manufacturing was “production hell.” The company has effectively beaten all of its competitors to launching an effective and cost-worthy electric car by launching four of them.
Hindsight is 2020
With 2020 over (thank God), Tesla and analysts are already looking forward to the new year. 2021 has plenty in store for Tesla: Two production facilities in the U.S. and Europe are set to begin manufacturing efforts, the launch of the Cybertruck at the tail-end of the year, and a possible refresh of the Model S and Model X. Moving forward, Tesla shorts may be more cautious, especially considering their traumatic $38 billion loss this year.
Elon Musk
Starlink passes 9 million active customers just weeks after hitting 8 million
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
SpaceX’s Starlink satellite internet service has continued its rapid global expansion, surpassing 9 million active customers just weeks after crossing the 8 million mark.
The milestone highlights the accelerating growth of Starlink, which has now been adding over 20,000 new users per day.
9 million customers
In a post on X, SpaceX stated that Starlink now serves over 9 million active users across 155 countries, territories, and markets. The company reached 8 million customers in early November, meaning it added roughly 1 million subscribers in under seven weeks, or about 21,275 new users on average per day.
“Starlink is connecting more than 9M active customers with high-speed internet across 155 countries, territories, and many other markets,” Starlink wrote in a post on its official X account. SpaceX President Gwynne Shotwell also celebrated the milestone on X. “A huge thank you to all of our customers and congrats to the Starlink team for such an incredible product,” she wrote.
That growth rate reflects both rising demand for broadband in underserved regions and Starlink’s expanding satellite constellation, which now includes more than 9,000 low-Earth-orbit satellites designed to deliver high-speed, low-latency internet worldwide.
Starlink’s momentum
Starlink’s momentum has been building up. SpaceX reported 4.6 million Starlink customers in December 2024, followed by 7 million by August 2025, and 8 million customers in November. Independent data also suggests Starlink usage is rising sharply, with Cloudflare reporting that global web traffic from Starlink users more than doubled in 2025, as noted in an Insider report.
Starlink’s momentum is increasingly tied to SpaceX’s broader financial outlook. Elon Musk has said the satellite network is “by far” the company’s largest revenue driver, and reports suggest SpaceX may be positioning itself for an initial public offering as soon as next year, with valuations estimated as high as $1.5 trillion. Musk has also suggested in the past that Starlink could have its own IPO in the future.
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NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine.
NVIDIA Director of Robotics Jim Fan has praised Tesla’s Full Self-Driving (Supervised) v14 as the first AI to pass what he described as a “Physical Turing Test.”
After testing FSD v14, Fan stated that his experience with FSD felt magical at first, but it soon started to feel like a routine. And just like smartphones today, removing it now would “actively hurt.”
Jim Fan’s hands-on FSD v14 impressions
Fan, a leading researcher in embodied AI who is currently solving Physical AI at NVIDIA and spearheading the company’s Project GR00T initiative, noted that he actually was late to the Tesla game. He was, however, one of the first to try out FSD v14.
“I was very late to own a Tesla but among the earliest to try out FSD v14. It’s perhaps the first time I experience an AI that passes the Physical Turing Test: after a long day at work, you press a button, lay back, and couldn’t tell if a neural net or a human drove you home,” Fan wrote in a post on X.
Fan added: “Despite knowing exactly how robot learning works, I still find it magical watching the steering wheel turn by itself. First it feels surreal, next it becomes routine. Then, like the smartphone, taking it away actively hurts. This is how humanity gets rewired and glued to god-like technologies.”
The Physical Turing Test
The original Turing Test was conceived by Alan Turing in 1950, and it was aimed at determining if a machine could exhibit behavior that is equivalent to or indistinguishable from a human. By focusing on text-based conversations, the original Turing Test set a high bar for natural language processing and machine learning.
This test has been passed by today’s large language models. However, the capability to converse in a humanlike manner is a completely different challenge from performing real-world problem-solving or physical interactions. Thus, Fan introduced the Physical Turing Test, which challenges AI systems to demonstrate intelligence through physical actions.
Based on Fan’s comments, Tesla has demonstrated these intelligent physical actions with FSD v14. Elon Musk agreed with the NVIDIA executive, stating in a post on X that with FSD v14, “you can sense the sentience maturing.” Musk also praised Tesla AI, calling it the best “real-world AI” today.
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Tesla AI team burns the Christmas midnight oil by releasing FSD v14.2.2.1
The update was released just a day after FSD v14.2.2 started rolling out to customers.
Tesla is burning the midnight oil this Christmas, with the Tesla AI team quietly rolling out Full Self-Driving (Supervised) v14.2.2.1 just a day after FSD v14.2.2 started rolling out to customers.
Tesla owner shares insights on FSD v14.2.2.1
Longtime Tesla owner and FSD tester @BLKMDL3 shared some insights following several drives with FSD v14.2.2.1 in rainy Los Angeles conditions with standing water and faded lane lines. He reported zero steering hesitation or stutter, confident lane changes, and maneuvers executed with precision that evoked the performance of Tesla’s driverless Robotaxis in Austin.
Parking performance impressed, with most spots nailed perfectly, including tight, sharp turns, in single attempts without shaky steering. One minor offset happened only due to another vehicle that was parked over the line, which FSD accommodated by a few extra inches. In rain that typically erases road markings, FSD visualized lanes and turn lines better than humans, positioning itself flawlessly when entering new streets as well.
“Took it up a dark, wet, and twisty canyon road up and down the hill tonight and it went very well as to be expected. Stayed centered in the lane, kept speed well and gives a confidence inspiring steering feel where it handles these curvy roads better than the majority of human drivers,” the Tesla owner wrote in a post on X.
Tesla’s FSD v14.2.2 update
Just a day before FSD v14.2.2.1’s release, Tesla rolled out FSD v14.2.2, which was focused on smoother real-world performance, better obstacle awareness, and precise end-of-trip routing. According to the update’s release notes, FSD v14.2.2 upgrades the vision encoder neural network with higher resolution features, enhancing detection of emergency vehicles, road obstacles, and human gestures.
New Arrival Options also allowed users to select preferred drop-off styles, such as Parking Lot, Street, Driveway, Parking Garage, or Curbside, with the navigation pin automatically adjusting to the ideal spot. Other refinements include pulling over for emergency vehicles, real-time vision-based detours for blocked roads, improved gate and debris handling, and Speed Profiles for customized driving styles.
Starlink passes 9 million active customers just weeks after hitting 8 million
NVIDIA Director of Robotics: Tesla FSD v14 is the first AI to pass the “Physical Turing Test”
