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Why Tesla’s road in India may end before it even starts
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For years, Indian citizens have pleaded with Tesla CEO Elon Musk about the possibility of the electric automaker building and delivering cars in the country. India, a large landmass that 1.366 billion people call home, has less than 1% of its 30 million cars being of an electric nature, the most sustainable way to operate a vehicle. However, Tesla aims to change that with an imminent entrance into India’s market. The problem is, Tesla’s road in India may end before it even begins, which would be a massive blow to the company and its supporters in the country, as Tesla fans have waited several years for any indication that the car company would finally make an appearance in their section of the world. But, strict regulations and inside political interests are halting the possibility, and it has people wondering whether the world’s leading electric car company will ever make it to the Indian automotive market.
Many of you who read Teslarati on a daily basis know that we have been tracking the situation in India since the early days. In fact, one of my first articles of 2021, while I was recovering from COVID-19 in January, was about the potential that Tesla had in India’s markets. Additionally, it seemed that some potential customers would be ready to order their first all-electric cars from the Silicon Valley-based electric car company by the time Q2 rolled around. However, these pieces of outlook from Musk were not met because the Indian government has shut down any attempt Tesla has made toward getting their products in the country without the hefty import duties. Unfortunately, it doesn’t seem as if they will be going away soon, either, as Prime Minister Narendra Modi, who has heavily supported the idea of local manufacturing efforts, will not be forced to leave his post or enter another election until 2024.
While local manufacturing is something Americans take a lot of pride in, especially with cars, there are undoubtedly advantages to building things domestically. First, companies must hire workers in the country that the business is stationed in. Next, the increase of manufacturing jobs not only improves the American economy, but it also provides job security for the millions of employees that are on assembly lines 40 hours (or more) a week. There are a lot of strengths in manufacturing things locally, but there is also room for foreign entities to bring their products into a market, especially if they can benefit a foreign economy like it does a domestic one.
Musk with Modi in 2015
This is something Tesla argued in its proposal letter to the Indian government a few weeks ago when it requested a reduction in import duties. The increase in Tesla imports would actually assist the country in developing a charging infrastructure, which would supply jobs to the energy sector and provide cleaner transportation options in a country where the climate and environment struggle heavily with smog and emissions. Additionally, Tesla would need a dedicated Service Center in several locations as India is a large country. Not to mention, showrooms would also provide some employment opportunities.
Musk has said that Tesla will not bring a Gigafactory to India without some sort of data that would support healthy demand, something that is obviously needed to justify building a near-billion dollar production plant in India. Doing this through imports is a tremendous idea, but 60% import taxes on sub-$40k vehicles, and 100% duties on $40,000 and up vehicles just will not get this done. Plain and simple. There needs to be some movement on the Indian government’s end.
However, the Indian politicians fail to realize that the economic and environmental advantages to having EVs in the country will be a better move long term. Instead, they fail to budge or even consider reducing import duties of any kind, at least to this point, which appears to discourage Tesla’s requests to enter the market. It would be a shame if no solution can be reached after this problem because I believe that the environmental impacts alone will be something that not only the Indian people will enjoy, but the people of the world will begin to see eventually. As the air begins to clear and the smog disperses, there could be a relative ease on the strong relationship with gas and oil India has. Sustainable energy could make its way to India within the next few years, and Tesla could see the potential for its biggest Gigafactory yet in India.
Think about the economic benefits a large-scale production facility could provide. Not only would it produce well-paying jobs, but it would also create a lot of them.
There are so many benefits for both Tesla and India if a deal can be worked out. But can it? In my opinion, Tesla may be better off delaying the India operation for another few years, when a fresh administration and new ideas can be thrown around about Tesla entering the market. It seems, for now, there won’t be much of a possibility, and Tesla may be better off expanding its efforts in the UK or elsewhere.
With that being said, I would love to hear how you feel about this issue. Is Tesla wasting its time trying to get things going in India? Should it try again in a few years? Do you feel progress can be made? Why or why not? If not India, then where should Tesla consider a new Gigafactory?
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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
