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Tesla’s marketing strategies in China could address the negative narrative in the US
Over the course of the massive roller coaster ride that was Tesla’s first and second quarters this year, it has become particularly evident that the electric car maker is dealing with a lot of misinformation. After the first quarter’s lower-than-expected results, for example, Tesla faced multiple narratives suggesting that the demand for the company’s vehicles was fast declining, and that its growth story was dead. It was not until Tesla revealed its higher-than-expected delivery and production numbers in the second quarter that the narrative surrounding the company shifted a little bit for the better.
Being one of the most shorted companies in the market, Tesla is no stranger to misinformation campaigns. The company’s vehicles consistently rank high with safety agencies, yet the idea that the Model 3, S, and X are dangerous and catch fire all the time continues to persist. Tesla’s quarterly safety reports have consistently shown that fewer accidents happen when Autopilot is activated, but the driver-assist system is perceived as dangerous by a notable demographic of would-be car buyers nonetheless — and these are but the tip of the iceberg.
One of the most striking portions of Tesla’s 2019 Annual Shareholder Meeting last month involved a number of retail investors brainstorming solutions to address the alarming amount of misinformation surrounding the company. Responding to the concerned shareholders, Elon Musk admitted that he is at a little bit of a loss when it comes to battling the negativity surrounding Tesla, though he expressed his dislike for advertising campaigns that are deceptive to consumers. Nevertheless, considering that the Tesla Model 3 is now breaking into a market that is larger than it has ever dealt with before, it would be wise for the electric car maker to find a solid, subtle strategy that allows it to reach a wider audience, while shifting the narrative to a more positive direction in the process.
What is pretty remarkable is that Tesla does not need to look far to find a marketing strategy that works without being deceptive. Over in China, there is a company that has shown a notable degree of cleverness with its marketing efforts, utilizing creative campaigns that help improve the perception of the public to its brand. That company is Tesla.
Tesla has been around in China since 2014, when it started delivering the Model S to the region. For the most part, Tesla has competed much like a niche carmaker in the country, with the Model S and Model X being high-priced premium vehicles that are, in some way, considered as status symbols for the wealthy. This is changing with the arrival of the Model 3, as the electric sedan’s lower price opens up the Tesla ecosystem to a far broader demographic. The buildout of Gigafactory 3 in Shanghai, which will be producing locally-made Model 3 and Model Y, will make Tesla’s vehicles even more accessible to the mainstream market in the near future.
With Model 3 deliveries already underway and with Gigafactory 3’s buildout progressing faster than expected, it is pertinent for Tesla to ensure that the company is well marketed for Chinese consumers. This is where things get particularly interesting, since Tesla has been conducting a subtle, clever, and likely effective marketing campaign for the Chinese market as of late. Immediately noticeable is the care that the company has taken to respect the country’s culture and traditions, as shown in the tastefully-designed cards Tesla sent out during last month’s Dragon Boat Festival, and the reviewers that the electric car maker released for high school students in the days leading up to the national college examination. These were simple gestures, but they showed that Tesla is a company that is respectful and grounded.
Other marketing campaigns that have raised Tesla’s visibility in the Chinese market have been equally tasteful. Just recently, Tesla and QQ Music, a popular music streaming service in the country, held a series of “Music Parties” in key cities. These were hip events that were aimed at the younger demographic, many of whom are or will be looking to buy their first vehicle in the near future. The company has also launched a Tesla Performance Driving School, which involves the company hiring professional drivers to teach Model 3 owners how to get the most fun out of their vehicles. This program promotes the capabilities of the Model 3 Performance, while giving the impression that Tesla is a responsible company that encourages high-speed driving in safe, regulated environments.
Also notable were Tesla-organized road trips, which are extended journeys over scenic routes that are aimed at promoting the company’s vehicles and the convenience of the Supercharger Network. Online, Tesla’s active marketing strategies in China are quite impressive as well, as evidenced by the spread of tutorials featuring its vehicles and their features. These pages, one which could be accessed here, feature clear guidelines about Autopilot’s proper utilization, its features, its limitations, and the responsibilities of the driver while the system is in use.
When it comes to battling misinformation, the best strategy is always to provide the right information. To shift a subjectively negative narrative, it is best to foster an objectively positive narrative. Contrary to Elon Musk’s statements during the Annual Shareholder Meeting, it appears that Tesla already has a pretty good strategy that has the potential to address, at least to some degree, the misconceptions and misinformation surrounding the company in the United States. Granted, Tesla currently enjoys widespread support from the Chinese government, and the United States is a far more challenging market than China, but considering what’s at stake, these marketing efforts might very well be worth a try.
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
