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Tesla’s ‘challenges’ with India gov’t halt potential rescue of $27B manufacturing initiative

(Photo: Tesla)

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In 2014 when Narendra Modi officially became Prime Minister of India, his first message to people around the world was that, under his leadership, Indian manufacturing operations would become one of the world’s most robust. In September of the same year, Modi officially launched “Make In India,” a government initiative that encouraged companies from all corners of the globe to develop, produce, and assemble products in India with sizeable investments into manufacturing.

Five years after the initiative began, India’s manufacturing GDP was the lowest it had been in twenty years. It dropped 1.2% in the first five years following the launch of Make In India, although the growth rate of manufacturing globally increased 6.9% from 2014-15 to 2019-20.

Seven-and-a-half years later, Make In India is still a work in progress.

It was a disappointing start to the still active program, which has not been a complete failure. General Motors brought a $1 billion investment to a manufacturing facility in Maharashtra, the city where Tesla has been rumored to land with a potential factory of its own. Kia invested $1.1 billion in 2017 and has been producing vehicles at its factory in the Anantapur District since January 2019. Electrification, where the global automotive industry is heading, is still a weak point in India. Less than 1% of the country’s cars are electric.

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Because of the extensive and massive $27 billion budget that has been set aside for these programs, India has tried to persuade companies to bring manufacturing to the country directly. With a sky-bound budget and thirst for local manufacturing, the confusion begins to set in: Why is Tesla, a company with a reputation for building the world’s best electric vehicles, that could likely build a manufacturing facility anywhere in the world, having so much trouble landing a deal in India to manufacture its vehicles?

A Tesla Model 3 testing in India (Credit: pune_exotics | Instagram)

The disconnect seems to be between Tesla’s requests and India’s needs. When Elon Musk, Tesla’s CEO, tweeted last night that there were still “challenges” when working with the Indian government, which had put the plans on hold once again, it seemed that the automaker’s requests for import duty reductions went to the wayside. An issue that seems to be Tesla’s most integral wish, import duty reduction has received support from some Indian politicians, noting that demand testing, which has been one key factor in the company’s attempts to enter India, cannot happen if duties are too high. “If they have to manufacture here, they need the numbers, and no one can test the market when you impose such high import duty on the vehicles,” Union Road Transport Minister Nitin Gadkari said in August.

If import taxation was not an issue, Tesla could use data already available to them to determine whether a Gigafactory would make sense in India. Spoiler alert: Tesla would never build a factory in India based on sales figures from the past ten years as very few people can afford them when import duties are involved. Any vehicle below $40,000 is subjected to 40% tax. Any vehicle more expensive than $40,000 receives a 100% tax, effectively doubling the price of the vehicle. Currently, Tesla has no vehicles in its lineup that are under the $40,000 price threshold.

The problem is those import duties are a huge issue. India seems to be against doing it, at least for now, even though the massive $27 billion budget would not be directly affected by an import tax rollback. In fact, that budget could still factor in tax losses from duty reductions. Perhaps the reasons linked to Tesla’s delayed entrance into India could be linked to the automaker’s lack of need for other companies due to its vertical integration. While this sounds far-fetched, the President of the Automotive Component Manufacturers Association (ACMA) said that localization is always a priority, and companies entering the market need to promote local manufacturing across the board, not just with the final product.

This would include everything from complex factors like semiconductors to other elements that are as simple as car seats. Tesla makes many of its parts in-house, including some microcontrollers and its automotive seats. “Tesla is absurdly vertically integrated compared to other auto companies or basically almost any company. We have a massive amount of internal manufacturing technology that we built ourselves,” Musk said in late 2020. “This makes it quite difficult to copy Tesla, which we’re not actually all that opposed to people copying us because you can’t do catalog engineering. You can’t just [say] I’ll pick up the supplier catalog, I’ll get one of those.”

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This leaves India at a crossroads because, while Tesla would be a great benefit to the economy, manufacturing efforts, and employment, the company would not have as much to offer other sectors and companies as an automaker that is less vertically integrated. Reports have indicated that Tesla was planning to source components from local suppliers, but details regarding these rumors were slim.

India Prime Minister Narendra Modi visits the Tesla Fremont Factory in 2015.

But Tesla is far from a liability for any region. After launching Gigafactory Shanghai in China in early 2020, the factory has become Tesla’s biggest producer of EVs and accounted for nearly 52% of the automaker’s total deliveries for 2021. Despite the company’s vertical integration, which has increased gross margin on some Made-in-China Tesla vehicles to nearly 40%, the company has provided China with many economic benefits. The site will soon employ 9,000 people on the Model Y line alone after a confirmed expansion found in Tesla’s Environmental Impact Assessment for 2021. Gigafactory Shanghai will have 18,000 employees by the time the line expansion is completed. Additionally, it has helped encourage the adoption of EVs in Europe through exports, making the Model 3 the best-selling EV on the continent in 2021, with over 109,670 units sold. The next closest was the Renault Zoe, with 58,242 sales.

Whether Tesla will ever enter India seems to be a question that has no definitive answer currently. However, Tesla has been teasing a potential entrance for seven years, ever since Modi visited the Fremont factory in 2015. The long saga of Tesla and India will continue for now. With Tesla’s attractive status as an EV powerhouse, other countries might come knocking on the door, stealing an opportunity to increase India’s slumping reputation as a manufacturing hub. Considering the Made In India initiative’s backtrack in manufacturing GDP, perhaps new strategies should be tested.

I’d love to hear from you! If you have any comments, concerns, or questions, please email me at joey@teslarati.com. You can also reach me on Twitter @KlenderJoey, or if you have news tips, you can email us at tips@teslarati.com.

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Joey has been a journalist covering electric mobility at TESLARATI since August 2019. In his spare time, Joey is playing golf, watching MMA, or cheering on any of his favorite sports teams, including the Baltimore Ravens and Orioles, Miami Heat, Washington Capitals, and Penn State Nittany Lions. You can get in touch with joey at joey@teslarati.com. He is also on X @KlenderJoey. If you're looking for great Tesla accessories, check out shop.teslarati.com

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Tesla Summon got insanely good in FSD v14.3.2 — Navigation? Not so much

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

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(Photo: Hector Perez/YouTube)

Tesla Full Self-Driving v14.3.2 began rolling out to some owners earlier this week, and there are some notable improvements that came with this update.

There were two new lines of improvements in the release notes: one addressing Actually Smart Summon (ASS), and another that now allows drivers to choose a reason for an intervention via a small menu during disengagement.

Overall operation saw a handful of slight improvements, especially with parking performance, which has been the most notable difference with the arrival of FSD v14.3. However, there are still some very notable shortcomings, most notably with region-specific signage and navigation.

Tesla Assisted Smart Summon (ASS) improvements

There are noticeable improvements to ASS operation, which has definitely been inconsistent in terms of performance. Tesla wrote in the release notes for v14.3.2:

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“Unified the model between Actually Smart Summon, FSD, and Robotaxi for more capable and reliable behavior.”

As recently as this month, I used Summon with no success. It had pulled around the parking lot I was in incorrectly, leaving the range at which Summon can be operated and losing a signal while moving in the middle of the lot.

This caused me to sprint across the lot to retrieve the vehicle:

Unfortunately, Summon was not dependable or accurate enough to use regularly. It appears Tesla might have bridged the gap needed to make it an effective feature, as two tests in parking lots proved that Summon was more responsive and faster to navigate to the location chosen.

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It also did so without hesitation, confidently, and at a comfortable speed. I was able to test it twice at different distances:

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I plan to test this more thoroughly and regularly through the next few weeks, and I avoided using it in a congested parking lot initially because I have not had overwhelming success with Summon in the past. I wanted to set a low baseline for it to see if it could simply pull up to the place I pinned in the Tesla app.

It was two for two, which is a big improvement because I don’t think I ever had successful Summon attempts back-to-back. It just seems more confident than ever before.

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New Disengagement Categories

This is a really good idea from Tesla, but there are some issues with it. The categories you can select are Critical, Comfort, Preference, and Other.

I think the reasons why people choose to take over would be a better way to prompt drivers, like, “Traveling Too Fast,” “Incorrect Maneuver,” “Navigation Error,” would be more beneficial.

I say this because it seems that how we each categorize things might be different. For example, I shared a video of an intervention because the car had navigated to an exit to a parking lot and put its left blinker on, despite left turns not being allowed there.

I disengaged and chose Critical as the reason; it’s not a comfort issue, it’s not a preference, it’s quite literally an illegal turn, and it’s also dangerous because it cuts across several lanes of traffic and is 180 degrees.

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Some said I should not have labeled this as Critical, but that’s the description I best characterized the disengagement as.

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Categorizing interventions is a good thing, but it’s kind of hard to determine how to label them correctly.

Inconsistency with Regional Traffic Patterns

Tesla Full Self-Driving is pretty inconsistent with how it handles regional or local traffic patterns and road rules. The most frequent example I like to use is that of the “Except Right Turn” stop sign, which has become a notorious sighting on our social media platforms.

In the initial rollout of v14.3, my Model Y successfully navigated through one of these stop signs with no issues. However, testing at two of these stop signs yesterday proved it is still not sure how to read signs and navigate through them properly.

Off camera, I approached another one of these signs and felt the car coming to a stop, so I nudged it forward with the accelerator pedal pressed.

This helped the car go through the sign without stopping, but I could feel the bucking of the vehicle as the car really wanted to stop.

Musk said on the earnings call earlier this week that unsupervised FSD would probably be available in some regions before others, including a state-to-state basis in the U.S.

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“It’s difficult to release this like to everyone everywhere all at once because we do want to make sure that they’re not unique situations in a city that particularly complex intersection or — actually, they tend to be places where people get into accidents a lot because they’re just — perhaps there’s — and like I said, an unsafe intersection or bad road markings or a lot of weather challenges. So I think we would release unsupervised gradually to the customer fleet as we feel like a particular geography is confirmed to be safe.”

This could be one of those examples that Tesla just has to figure out.

Highway Operation

Full Self-Driving is already pretty good at routine roadway navigation, so I don’t have too much to report here.

However, I was happy with FSD’s decision-making at several points, including its choice not to pass a slightly slower car and remain in the right lane as we approached the off-ramp:

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Better Maneuvering at Stop Signs

Many FSD users report some strange operations at stop signs, especially four-way intersections where there is a stop sign and a line on the road, and they’re not even with one another.

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I experienced this quite frequently and found that FSD would actually double stop: once at the stop sign and again at the line.

This created some interesting scenarios for me and I had many cars honk at me when the second stop would happen. Other vehicles that had waved me on to proceed through the intersection would become frustrated at the second stop.

FSD seems to have worked through this particular maneuver:

FSD should know to go to the more appropriate location (whichever provides better visibility), and proceed when it is the car’s turn to move. The double stop really ruined the flow of traffic at times and generally caused some frustration from other drivers.

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Tesla plans to resolve its angriest bunch of owners: here’s how

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

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Credit: Tesla Asia/Twitter

Tesla has a plan to make Hardware 3 owners whole after CEO Elon Musk admitted that those with that self-driving chip in their cars will not have access to unsupervised Full Self-Driving.

The company’s strategy is so crazy that it is sort of hard to believe.

Since the rollout of the AI4 chip in Tesla vehicles, owners with the last generation self-driving chip, known as Hardware 3, have been persistent in their quest for a solution to their issue: they were told their cars were capable of unsupervised Full Self-Driving. It turns out the cars are not.

During the Tesla Q1 earnings call on Wednesday, Musk finally clarified what the company’s plans are for Hardware 3 owners, what they will be offered, and what Tesla will have to do internally to prepare for it.

The answer was somewhat mind-boggling.

Musk said:

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“Unfortunately, Hardware 3 — I wish it were otherwise, but Hardware 3 simply does not have the capability to achieve unsupervised FSD. We did think at one point it would have that, but relative to Hardware 4, it has only 1/8 of the memory bandwidth of Hardware 4. And memory bandwidth is one of the key elements needed for unsupervised FSD.”

He continued, stating that HW3 owners would have the opportunity to trade their cars in at a discounted rate in order to get the AI4 chip:

“So for customers that have bought FSD, what we’re offering is essentially a trade-in — like a discounted trade-in for cars that have AI4 hardware, and we’ll also be offering the ability to upgrade the car, to replace the computer. And you also need to replace the cameras, unfortunately, to go to Hardware 4.”

Obviously, Tesla has a lot of people to work with and make this whole thing right. Musk was adamant that HW3 would be capable of FSD, and now that the company has finally admitted that it is not, there are some things that could come of this.

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There has been open talk about some sort of class action lawsuit against Tesla. The promises that Tesla made previously could be considered a breach of contract or even false advertising, and that’s according to Grok, Musk’s own AI program.

Musk went on to say that Tesla would likely have to establish new microfactories to effectively and efficiently replace HW3 computers and cameras:

…So to do this efficiently, we’re going to have to set up, like kind of micro factories or small factories in major metropolitan areas in order to do it efficiently. Because if it’s done just at the service center, it is extremely slow to do so and inefficient. So we basically need like many production lines to make the change.”

This is going to be an extremely costly process, especially if Tesla has to buy real estate, properties, and equipment to complete this work. Additionally, there was no wording on pricing, but Musk never said it would be free. It will likely come with some kind of price tag, and HW3 owners, after being left hanging for so long, will have something to say about that.

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SpaceX just got pulled into the biggest Weapons Program in U.S. history

SpaceX joins the Golden Dome software group, deepening its role in America’s most expensive defense program.

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US Golden Dome space defense system (Concept render by Grok)

SpaceX has joined a nine-company group developing the core operating software for the Golden Dome, America’s next-generation missile defense system. According to a Bloomberg report, SpaceX is focused on integrating satellite communications for military operations and is working alongside eight other defense and artificial intelligence companies, including Anduril Industries, Palantir Technologies, and Aalyria Technologies, to build software connecting missile defense capabilities.

The Golden Dome concept dates back to President Trump’s 2024 campaign, and on January 27, 2025, he signed an executive order directing the U.S. Armed Forces to construct the system before the end of his term. The system is planned to employ a constellation of thousands of satellites equipped with interceptors, with data centers in space providing automated control through an AI network.

FCC accepts SpaceX filing for 1 million orbital data center plan

Space Force Gen. Michael Guetlein, director of the Golden Dome initiative, has described the software layer as a “glue layer” that would enable officers to manage and control radars, sensors, and missile batteries across services. The consortium is aiming to test the platform this summer.

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Trump selected a design in May 2025 with a $175 billion price tag, expected to be operational by the end of his term in 2029, though the Congressional Budget Office projected the cost could reach $831 billion over two decades.

The Golden Dome role is only the latest in a string of military wins for SpaceX. As Teslarati reported, the U.S. Space Force awarded SpaceX a $178.5 million task order on April 1, 2026 to launch missile tracking satellites for the Space Development Agency, covering two Falcon 9 launches beginning in Q3 2027. That came on top of more than $22 billion in government contracts held by SpaceX as of 2024, per CEO Gwynne Shotwell, spanning NASA resupply missions, classified intelligence satellites through its Starshield program, and military broadband.

The accumulation of defense contracts, now including a seat at the table on the most expensive weapons program in U.S. history, positions SpaceX as the dominant infrastructure provider for American national security in space. With a SpaceX IPO still on the horizon, each new contract adds weight to what is already one of the most consequential companies in aerospace history, raising real questions about how much of America’s defense architecture will depend on a single private operator before it ever trades publicly.

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