News
The strategy behind the state selection of the Tesla Gigafactory
By now, everyone who has any interest at all in Tesla Motors has heard about their plans for a Gigafactory. Since the plan was introduced in February, the discussion groups and forums have been filled with thoughts on the implications of the huge battery making installation. Four potential sites were named: New Mexico, Nevada, Arizona and Texas.
Speculation about how this would change things became rampant. Nicolas Zart asked how it would affect Tesla’s long-standing relationship with Panasonic, who provides the batteries being used in the Model S and that will likely be used in the upcoming Model X. Yet a more persistent question in the peanut gallery has been why Tesla would choose the states it mentioned as candidates for the factory.
To be straightforward, there was a lot of strategic thinking that went behind the choice of the four states mentioned, and there’s a good reason that a couple of those states, deemed as “Tesla-unfriendly,” are on the list.
Logistics
The states chosen are all within a specific logistical area. They’re warm weather states, have little seismic activity, are within easily-accessed and well-established transportation corridors (trains, highways, etc.), have low-cost land available, and have a surplus of most energy types.
This means that transport of materials and finished products to and from each of these locations is relatively easy and requires minimal work to customize. All of them are in sunny locations (a primary requirement for a solar farm as large as Tesla proposes) and they all have access to low-cost energy at surplus should the wind and solar plans take longer to establish or not perform as expected.
Costs and Baskets of Eggs
Each of the four states named also have highly conducive political environments for business. California, love it or hate it, is one of the worst places in the nation to attempt to start a manufacturing business in terms of bureaucracy, costs, and red tape. Choosing California would also mean Tesla would be putting all of their eggs into one basket, as it were, geographically and politically. This would directly affect our next point. We’ll discuss that in a moment.
All four of the states listed have low or no corporate income tax, have relatively low property taxes (even for industrial use), and are about as business-friendly as a state’s government can be without giving away the farm. Nevada and Arizona also have corporate-friendly incorporation laws, should Tesla need to use them.
-
Leverage
Now for the real meat of it. Tesla has already leveraged California for about everything it can in terms of concessions and breaks. California would likely be willing to do a lot to help Musk get his Gigafactory built, but it’s just as likely that the other candidates would do just as much on top of their already-friendly atmosphere, industry-wise.
Further, two of these states (do we need to name them?) have been less than friendly to Tesla during the dealership vs direct sales battles. Dangle the “create a green factory and employ a lot of your citizens” carrot, though, and suddenly the discussion might begin to change a little.
You don’t have to be Richard Nixon to see that the prospect of one of the world’s largest automotive battery factories being located in your state will have a hundred benefits to every loss you might politically incur for turning your back on your friends at the auto dealer’s association. Especially if you’re a governor with hopes of getting into the White House (ahemRickPerryahem). It’s things like the Gigafactory that can build legacies for those with the savvy to utilize the PR potential.
Strategically Speaking
Putting it together, the strategy behind the Gigafactory’s geographic location is very astute. Musk and Co gain more by naming enemies in their list of potentials than they would going the relatively safe route of staying in their west coast comfort zone.
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.”
-
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.
-
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.
-
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.
-
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
