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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.
Tesla Hardware 3 owners are set to get a new Full Self-Driving version this month as the company plans to release what it is referring to as v14 Lite.
The rollout is not yet confirmed for June, but Tesla executives have stated on several occasions that this more refined FSD iteration will work with their cars and increase its capabilities.
This comes after Tesla admitted during its last Earnings Call that these Hardware 3 vehicles would not be able to achieve Full Self-Driving, something that they did not know when they bought these cars. We regularly receive messages from Hardware 3 owners asking when v14 Lite will come out, what they should expect, and whether it is worth it to upgrade the self-driving computer or buy a new car altogether.
Following future rollout of FSD V14 Lite for HW3 vehicles in the US, we plan on expanding V14 Lite to additional international markets.
This update ensures that HW3 vehicle owners will continue to benefit from ongoing software updates.
Since international rollout is subject to…
— Tesla (@Tesla) April 29, 2026
It is hard not to feel for them; Tesla CEO Elon Musk said at the company’s 2019 Autonomy Day that all vehicles produced at the time, including Hardware 3 cars, had “all the hardware necessary, compute and otherwise, for Full Self-Driving.”
Musk also said in March of that year that, “Anyone who purchased Full Self-Driving will get FSD computer upgrade for free.”
Anyone who purchased full self-driving will get FSD computer upgrade for free. This is the only change between Autopilot HW2.5 & HW3. Going forward “HW3” will just be called FSD Computer, which is accurate. No change to vehicle sensors or wire harness needed. This is v important. https://t.co/lICMpT7xnX
— Elon Musk (@elonmusk) March 29, 2019
However, during the Q1 2026 Earnings Call, Musk admitted that Hardware 3 vehicles would not be capable of FSD, as “It has only 1/8th the memory bandwidth of Hardware 4, and memory bandwidth is one of the key elements needed for unsupervised FSD.”
Tesla has made some effort to remedy these Hardware 3 owners by offering:
- Discounted trade-ins toward AI4 cars
- Hardware retrofits, which would replace the self-driving computer and upgrade all cameras
- Full Self-Driving v14 Lite
The issue is that many of these owners were led to believe their cars would be capable of unsupervised self-driving. Now, they’re left scrambling for options, and while there are several, they will all require more money out of their pockets.
Expectations for Tesla v14 Lite for Hardware 3 Owners
The big differences between the AI4 v14 and v14 Lite for Hardware 3 owners will stem primarily from hardware constraints. Tesla developed v14 Lite with an optimized frame of mind; the v14 neural nets are toned down to run on an HW3 computer.
Tesla v14 will use the same behavior, but its limits will be hardware-related, especially given that the cameras on HW3 vehicles are lower-resolution.
Tesla reveals its plans for Hardware 3 owners who are eager for updates
This will result in potentially more edge cases due to the lower quality perception and less long-range detection, but reaction time and overall confidence should be more refined.
There should also be a handful of additional features that are available on AI4 cars, such as:
- Starting Full Self-Driving from Park
- Auto Shift
- Streaks
- Speed Profiles
- Improved Dynamics, like Pulling Over for Emergency Vehicles
Tesla plans to release v14 Lite this month, but we are all familiar with how the company can be with timelines. Additionally, if v14 Lite has not proven to be ready for a wide release, Tesla will slam the brakes on the rollout.
We would anticipate that Tesla is testing v14 Lite internally, and likely has been for several months.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Hardware 3 owners could be made whole this month
SpaceXAI just launched into your kitchen with their new app
