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The strategy behind the state selection of the Tesla Gigafactory

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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.

Tesla-Gigafactory-strategy

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.

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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.

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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.

Aaron Turpen is a freelance writer based in Wyoming, USA. He writes about a large number of subjects, many of which are in the transportation and automotive arenas. Aaron is a recognized automotive journalist, with a background in commercial trucking and automotive repair. He is a member of the Rocky Mountain Automotive Press (RMAP) and Aaron’s work has appeared on many websites, in print, and on local and national radio broadcasts including NPR’s All Things Considered and on Carfax.com.

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SpaceX wants to catch Starship for launch 14, Elon Musk says

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Credit: SpaceX

Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.

“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.

That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.

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A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.

SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.

Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.

SpaceX Starship just nailed something it’s never done before

The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.

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Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.

Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.

If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.

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Tesla to open source Model S and Model X designs and software

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Credit: Tesla

In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.

This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”

The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.

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The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.

Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.

By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.

Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.

Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.

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The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.

By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.

Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come

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Tesla flexes incredible Robotaxi metric that skeptics will hate

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Credit: Tesla

Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.

During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:

“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”

Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.

Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.

“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”

The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.

While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.

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The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.

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