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Tesla’s ‘challenges’ with India gov’t halt potential rescue of $27B manufacturing initiative
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.
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.
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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.”
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.
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In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
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Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
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High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
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Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
Tesla headlights have caused a recall of over 20,000 of the company’s two most popular vehicles, the Model 3 and Model Y, due to the low-beam bulb exceeding the maximum allowed intensity according to federal standards.
Tesla initiated the recall with the National Highway Traffic Safety Administration (NHTSA) this morning, stating that the low-beam output “exceeds the maximum allowed intensity in the outer upper-right and outer upper-left areas of the 10U and 90U zone, as prescribed in FMVSS No. 108.”
Tesla sourced the impacted headlights from Marelli Automotive Lighting, a Mexico-based company. The recall impacts 2020-2023 Model Y vehicles and 2017-2023 Model 3 vehicles. It is estimated that every VIN in this recall is impacted by the defect.
🚨 Tesla is recalling 20,349 2020-23 Model Y vehicles and 2017-23 Model 3 vehicles due to an excessively bright headlamp low beam.
Currently, there is no remedy plan in place, as it is still being developed. pic.twitter.com/y34cIO2U0B
— TESLARATI (@Teslarati) August 11, 2026
Typically, Tesla would remedy recalls of this nature through an Over-the-Air software update, which has been a major focus of criticism by the company and its supporters because the NHTSA still refers to it as a “recall,” even though it requires no action by the vehicle owner. The fix is shipped over the internet and downloaded to the car.
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However, there appears to be a potentially different solution for this problem. Tesla has not developed a remedy for this issue, so it could potentially be on the way. The big issue appears to be the fact that these recalled lamps are out of production, and this is an old body style for both vehicles. The headlights and front-end designs are completely different.
Tesla switched to another supplier when the affected headlight design was discontinued. It plans to begin notifying owners of their remedy options by September 15.
Tesla filed a petition protesting the recall to fix the vehicles’ headlight issue, but the NHTSA denied it. Now, Tesla will come up with a solution to fix it.
Tesla has one big financial question to answer for investors: Morgan Stanley
SpaceX AI investment gamble will make it a big winner, firm says
