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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%.
Disclosure: Joey Klender is a TSLA Shareholder.
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Turn-by-turn navigation is not new technology.
For over two decades, drivers have relied on Garmin, TomTom, and later smartphone apps like Google Maps and Waze to receive precise, reliable directions. These systems have guided millions safely through unfamiliar cities, highways, and backroads with remarkable effectiveness. They handle real-time traffic, construction detours, and complex intersections with minimal fuss.
Yet Tesla, the company that promised revolutionary Full Self-Driving (FSD), continues to struggle with this foundational capability. As FSD (Supervised) v14.3.4 has started rolling out to cars this week, navigation remains its glaring Achilles’ heel, undermining the entire autonomous vision.
Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much
Tesla’s FSD excels in many driving behaviors—smooth acceleration, confident lane changes in ideal conditions, and responsive handling of visible obstacles. However, when it comes to following a route accurately, the system falters repeatedly.
Owners report wrong turns, missed exits, inefficient routing through local roads instead of highways, phantom speed limit errors, and even directing vehicles to building rear entrances. Interventions for navigation issues often outnumber those for core driving maneuvers. Tesla has begun surveying owners specifically about these errors, acknowledging the problem after years of complaints.
Navigation is perhaps my biggest complaint when it comes to FSD, because sometimes, we do know better. Some of us have been living in our areas for our entire lives, but even those who have not have years or even decades of experience driving on local roads. We might know a little better about routing.
But the navigation mistakes are more than just FSD potentially taking a slightly different route that may or may not save you a few minutes. Sometimes, they’re genuinely mind-boggling.
This isn’t just annoying; it cascades into broader failures. A flawed route plan confuses the AI’s decision-making, leading to hesitant behavior, unnecessary disengagements, or dangerous maneuvers like attempting impossible U-turns or ignoring clear ramps. In a system meant to operate with minimal supervision, unreliable navigation erodes trust.
More often than not, false or plain incorrect navigation is what causes me to interrupt FSD operation. Unfortunately, I believe the latest FSD version is the worst example of it, and it leads me to believe that Tesla might be making some changes; they’ve just made them in the wrong direction.
It makes you wonder: Why is a company that has done so much with the progress of FSD and autonomy struggling so much with navigation, something that is not new and has been around a long time?
Multiple Data Sources
First, Tesla’s navigation relies on a fragile patchwork of multiple data sources—Google Maps, TomTom, OpenStreetMap, Valhalla, and its own fleet-derived data—stitched together rather than a single authoritative map. When these conflict on lane geometry, road status, or turn details, the system hesitates or chooses incorrectly.
Traditional GPS providers maintain centralized, regularly validated databases with professional curation and rapid updates. Tesla’s hybrid approach, while innovative in crowdsourcing, introduces inconsistencies that a purely vision-based or end-to-end AI approach may not easily reconcile in real time.
Persistent Learning
FSD seems to struggle with persistent learning from driver interventions.
Unlike consumer apps that quickly adapt to repeated corrections or user preferences (e.g., avoiding certain routes or remembering habitual detours), Tesla’s FSD often fails to internalize fixes on the same trip or across similar scenarios. Owners note making the same manual override multiple times without the routing engine updating its behavior meaningfully.
This stems from the neural architecture prioritizing real-time perception and control over long-term route memory and personalization, making navigation feel rigid and “opinionated” compared to the adaptive logic in Waze or Google Maps.
I noticed that when I asked Grok to try and get me home a certain way (a way that FSD routinely took in the past because it was the most efficient), it had to place a waypoint between my location at the time and my house. When I went to edit the waypoint out, as Grok had placed it for a way to get FSD to get off the highway at the right exit, it was stumped again, rerouted, and took a longer way home.
The next thing I’ve noticed, and this might be controversial, is that Nav has gotten even worse.
I think that might actually be a good thing; Tesla seems to be adjusting it. They just need to adjust it the opposite way.
The car is taking extremely strange routes to very… https://t.co/UHg3tVfNA2
— TESLARATI (@Teslarati) June 16, 2026
Reasoning, Scaling, and Intuition
Third, scaling navigation for unsupervised or robotaxi ambitions requires not just accuracy but adaptability and user-like reasoning. Current FSD often defaults to single routes that ignore driver preferences or real-world nuances like time-of-day traffic patterns. It fails to match the intuitive, context-aware planning that traditional systems have refined over the years.
Resolving navigation is critical for several reasons. Practically, it is the backbone of any autonomous journey: without trustworthy routing, the car cannot reliably reach destinations, rendering FSD useless for robotaxis or hands-free commutes. Safety depends on it—mismatched plans create hesitation in merges or intersections, increasing accident risk.
Economically, Tesla’s valuation and future hinge on FSD delivering unsupervised driving; persistent navigation flaws delay regulatory approval and erode consumer confidence. For owners who paid premiums for FSD, these issues represent unfulfilled promises. While it is unlikely Tesla will lose too many customers due to bad navigation, some will be frustrated with the constant need for human input.
Tesla has achieved miracles in electric vehicles and battery tech. Mastering turn-by-turn—technology Garmin nailed in the early 2000s—should not be this hard. By investing in tighter data integration, faster learning loops from interventions, and more intuitive routing algorithms, Tesla could close this gap.
Until then, FSD’s navigation struggles highlight a humbling truth: even the most ambitious innovator must sometimes master the basics before conquering the future.
A Tesla Cybertruck driver in the United Kingdom had their all-electric pickup seized by local police in the Greater Manchester area after the department cited “legitimate concerns.”
Last Thursday, police saw the pickup on the roads and decided to pull the driver over. Greater Manchester Police said:
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a collision with the Cybertruck.”
🚨 A Tesla Cybertruck, which is illegal to drive in the UK due to safety concerns, has been seized by police in Greater Manchester
“Whilst this may seem trivial to some, legitimate concerns exist around the safety of other road users or pedestrians if they were involved in a… pic.twitter.com/cqhdPok3DM
— TESLARATI (@Teslarati) June 16, 2026
The Cybertruck in question was, according to the BBC, registered and insured abroad and was confiscated. The driver, who is a UK resident, was reported.
The Greater Manchester Police Department then added:
“The Tesla Cybertruck is not road-legal in the UK and does not hold a certificate of conformity.”
The Cybertruck cannot be legally driven in the UK because it has no UK Type Approval for operation in the country. This is due to some safety concerns, which are related to its angular shape and design. The stainless steel exoskeleton has sharp edges and projections that violate UK/EU rules on pedestrian protection.
Tesla has considered creating what it referred to as an “international version” that would be approved for operation in Europe. However, there has been no real movement on that front by the company, as it has been focused on the Robotaxi rollout primarily.
A new report claims that Apple is in the process of developing what would be the missing link for Tesla to get CarPlay.
Apple and Tesla have been reportedly working together for some time to give Tesla owners the opportunity to utilize CarPlay within their vehicles. While many owners are more than happy with Tesla’s in-house UI, which is seamless, effective, and smooth, some still want CarPlay, which does have its advantages.
A report from 9to5Mac now states that a new CarPlay technology that was highlighted during the Worldwide Developers Conference (WWDC) would potentially be the bridge between Tesla and Apple. With the addition of a feature known as “Route Sharing,” which gives a navigation app the ability to share routing data with the vehicle, Tesla would be able to launch CarPlay in its vehicles, the report states.
CarPlay has not been a priority for Tesla because it has done extremely well with its in-house UI, but some drivers are just used to it. Additionally, it could improve Tesla’s subpar Navigation or offer improved app capabilities, especially with iMessage.
Route Sharing is an intended addition to CarPlay’s iteration in iOS 26.4, which was released in March:
The addition of CarPlay would undoubtedly be welcome, but at the same time, it seems like Tesla realizes it is not of the utmost priority. There are so many things that Tesla is working on currently within its own vehicles, especially attempting to solve self-driving.
Back in February, Bloomberg had reported that Tesla was still working on bringing CarPlay to its vehicles, but it had not due to app compatibility issues and incredibly low adoption rates of iOS 26.
This bottleneck could buy Tesla the proper amount of time to develop CarPlay for its vehicles. It would be a welcome addition, and could be brought on with either the Summer or Fall 2026 Software Updates.
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
Tesla Cybertruck driver gets pickup seized for ‘legitimate concerns’ in UK
