As we approach the end of Q4 and the end of the year, analysts are correctly pointing out that a successful quarter for Tesla hinges on a successful delivery of vehicles to Europe.
Tesla has had an incredibly successful 2022, especially considering the circumstances that have rocked the auto industry; the supply shortages, the COVID lockdowns in China, and even the invasion of Ukraine. Nonetheless, Tesla rebounded from a difficult second quarter and posted a record Q3. Analysts have high expectations for the year’s final quarter, and Tesla’s ability to achieve them hinges on European success.
Despite challenges earlier in the year, many experts expect Tesla to achieve its 50% growth target compared to last year, equating to roughly 1.4 million deliveries cumulatively in 2022. To achieve this goal, Tesla will need to deliver approximately 500,000 units in Q4, and many experts think the company can do it.
Hi everybody. Tesla’s guidance for this year is 50% growth in production and deliveries. To achieve that, they would need 1,404,333 deliveries in 2022 which means 495,760 in Q4. That’s not going to happen. However, they still have a shot at achieving 50% growth in production. pic.twitter.com/AOFwUEHtP5
— Troy Teslike (@TroyTeslike) October 16, 2022
Analyst Trip Chowdhry from Global Equities Research comes to a similar conclusion.
Experts have good reason to believe Tesla can hit the half million vehicles mark for Q4. Foremost, demand for Tesla vehicles worldwide remains very high. Tesla China recently announced the astonishing achievement of selling over 100,000 vehicles in November. In the U.S., Tesla remains the top EV seller despite rising competition from legacy brands. And in Europe, the Tesla Model Y has become an overnight sensation, becoming a contender for the top-selling vehicle overall in multiple countries during Q4.
On the flip side, Tesla has been able to vastly expand production during the same timeframe. Notably, Giga Texas and Giga Berlin have been physically expanding, while Giga Texas and Giga Shanghai each hit notable production goals within Q4.
That leads us to the weakest link; Europe. Europe has the smallest source of domestic production as they rely solely on Tesla’s newest facility, Giga Berlin. At the same time, many of this year’s economic challenges have hit the old world particularly hard, including inflation, supply shortages, and the ongoing energy crisis.
So how is Tesla addressing this to meet its half-a-million vehicle goal? First, Tesla is employing its favorite trick of delivering as many vehicles as possible at the end of the quarter. One indicator of this push occurring is the large number of boats leaving from Shanghai and Texas towards Europe.
Because of the long transit times, that means in order to deliver all China exports in Europe by 31 Dec, the last ship needed to depart by 21 Nov. It did. This is how Tesla always used to do things. Therefore Dec deliveries in Europe will be again super high but then
2/5
— Troy Teslike (@TroyTeslike) December 4, 2022
According to data cumulated by TTF-Forum.de and initially posted by MaratimeTraffic, 15 ships have already delivered Teslas to Europe in Q4, and seven more ships from China and two from the U.S. are on their way.
But does this number of ships indicate that Tesla is on track to have a record quarter? That remains a little unclear. Cumulating data from a series of sources (TTF-Forum.de, TeslaCarriers, Tesla Ship Tracker, and MaratimeTraffic), this number of boats this quarter is a new high for Tesla but not entirely outside of the norm. In total, Tesla will be sending 22 ships to Europe this quarter, but this is only two more boats than the previous high of 20 that delivered vehicles to Europe in Q4 2021.
Another indicator that Tesla is putting the pedal to the metal in this final quarter is hiring. In a previous message from CEO Elon Musk (ironically advising against these end-of-the-quarter pushes), he notes that Tesla is forced to hire a large number of new employees and temp workers to keep up with demand during these times. Sometimes even calling on Tesla enthusiasts to help new customers take delivery of their vehicles. This is precisely what is being seen on Tesla’s hiring site now, as the company has hit a record number of openings in recent weeks.
Finally, Tesla is even employing discounts to entice buyers in the final month of the year. Tesla has issued discounts on inventory vehicles in the U.S. and China already and could give a similar deal in Europe in the coming weeks.
While these three factors individually don’t necessarily indicate that Tesla is headed for a record Q4, they both positively display the company is headed in the right direction.
With such positive indicators, it is clear why experts have high expectations for Tesla. Demand remains high, supply has continued to grow, and indicators of a robust end-of-the-quarter push (increased number of ship deliveries to Europe, significant hiring, inventory discounts) are clearly visible. But to say that the achievement is “in the bag” would be short-sighted. Tesla still has a mountain to climb to achieve the monumental half a million vehicles sold in a single quarter. Even so, many remain optimistic for the end of this year.
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Tesla has launched a direct campaign targeting its customers in New Jersey, sending emails that warn of pending legislation that could effectively block true driverless technology in the state.
The email focuses on Senate Bill S.1677 and Assembly Bill A.3968, measures intended to create a three-year autonomous vehicle pilot program but laden with requirements that Tesla argues make unsupervised Robotaxis impossible.
Tesla is sending out this email to New Jersey Tesla owners, warning them that NJ could block autonomous vehicles, and to take action.
“Proposed legislation moving through Trenton right now would impose restrictions so severe that true driverless deployment would remain illegal.… pic.twitter.com/2bmY646AUL
— Sawyer Merritt (@SawyerMerritt) June 16, 2026
According to the email, the bills impose “restrictions so severe that true driverless deployment would remain illegal.” Specific hurdles include mandates for human safety drivers during operations, multimillion-dollar insurance minimums, reportedly $5 million, and thresholds like 100,000 miles of demonstrated safe autonomous driving before any driverless approval.
Tesla contends these are arbitrary barriers that ignore real-world performance data and favor entrenched competitors over innovative technologies like its Full Self-Driving (FSD) system.
The push comes as Tesla has started expanding Robotaxi operations in states like Texas, where unsupervised vehicles are already providing rides in several cities. New Jersey, by contrast, risks falling behind. The company highlights in the email communication that more than 94 percent of serious crashes result from human error, meaning impairment, distraction, or fatigue. These are all problems that Robotaxis eliminate entirely.
In 2025, New Jersey recorded 582 traffic deaths, underscoring the human cost of delayed adoption.
Tesla’s outreach stresses the transformative potential of robotaxis. For families, they could offer safer school runs without drowsy or distracted drivers. For seniors and people with disabilities, robotaxis promise independence and reliable mobility.
In areas with limited public transit, they could deliver affordable, on-demand transportation, reducing congestion, emissions, and overall transportation costs. Economically, the company warns that restrictive rules could cost New Jersey jobs, innovation investment, and billions in potential growth as autonomous ride-hailing scales elsewhere.
Supporters of the legislation, including Sen. Andrew Zwicker, describe the pilot as a cautious framework with strong safety oversight, including incident reporting, expert task forces, and restrictions in sensitive zones like school areas. They view it as balancing innovation with public protection.
Tesla and pro-AV advocates counter that the bill lacks technology neutrality, creates insurmountable entry barriers for commercial deployment, and prioritizes process over outcomes — effectively functioning as a de facto ban on services like Robotaxi.
This latest clash echoes Tesla’s past battles in New Jersey over direct vehicle sales. The email directs owners to Tesla’s advocacy platform, where they can send customized messages to legislators calling for amendments: outcome-based safety standards, open competition, and clear pathways for fully driverless commercial operations.
As hearings approach, Tesla’s campaign frames the issue as a choice between protecting the status quo and embracing life-saving progress. With robotaxi technology already proving itself in permissive states, New Jersey owners are being asked to ensure their state doesn’t lock out the future of transportation.
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.
Tesla urges New Jersey owners to oppose new bill that could block Robotaxi
Tesla’s Navigation Nightmare: Why the easiest part of FSD might be the hardest
