Tesla has named Teresa Gutièrrez Smith as the Country Manager for its EV offensive in Mexico as its new Gigafactory in Nuevo Leòn is moving closer to starting construction.
Gutièrrez Smith has more than 20 years of experience managing transnational companies like Mattel, Procter & Gamble, and Nestlè, and is expected to handle major portions of Tesla’s Mexico project, according to Wired.
She has a Chemical Engineering degree from the Universidad Iberoamericana and a Master’s Degree in Business Administration and Management from the Pan American Institute, located in Mexico City.
Mexico is a region that builds EVs, but very few people in the country drive them, as most units are exported to other countries. Ford operates production facilities in Mexico, and the Mustang Mach-E is built at its Cuautitlan Assembly Plant.
The report indicates that Gutièrrez Smith will be directly responsible for expanding Tesla’s brand in the Latin American region.
This will be a tall task as Latin America needs a substantial boost in EV ownership. A report from research firm Motor Intelligence stated that just 0.5 percent of the automotive sales in Mexico in 2022 were EVs.
Tesla Gigafactory Mexico
Tesla announced that it would build Gigafactory Mexico after landing on the location in early 2023, and landed approval through federal land use permits for the project in December.
Tesla Gigafactory Mexico will handle automotive production to supplement new vehicle model releases that the company has planned for the coming years. This includes the $25,000 EV that has been rumored for several years.
After initially planning to begin construction sometime last year, CEO Elon Musk pumped the brakes on building Gigafactory Mexico, as he detailed on the Q3 2023 Earnings Call:
“In Mexico, we’re laying the groundwork to begin construction and doing all the long lead items, but I think we want to just get a sense for the global economy is like before we go full tilt on the Mexico factory. I am worried about the high interest rate environment that we’re in.”
Local Impact
Tesla Gigafactory Mexico is expected to create a substantial number of jobs for the local economy, according to Jorge A. Moreno, a professor at the Universidad Autónoma de Nuevo León’s (UANL) Faculty of Economics.
A report from earlier this month noted that Moreno expects Gigafactory Mexico to create at least 5,000 to 6,000 jobs directly, with another 29,000 or 30,000 indirectly through suppliers and other needs.
Tesla Giga Mexico projected to result in job boom for Nuevo Leon
This would “give a total of more or less between 35,000 to 36,000 jobs,” Professor Moreno said.
Tesla Lands Major Incentives
Tesla is expected to receive $153 million in incentives from Nuevo León due to its major contribution to job creation and economic stimulation.
Iván Rivas, State Secretary of Economy, commented on Tesla’s expected and anticipated contributions to Nuevo León:
“For example, the Nevada gigafactory generated an economic impact 28 times greater than public investment, while in California, 120 jobs were created in the supply chain for every 100 Tesla jobs. In this way, in Nuevo León, there would be 12,000 new direct jobs related to Tesla, almost 15% of the jobs created each year in the state.”
The first phase of Tesla Gigafactory Mexico is expected to entail a $4.5 billion investment. It will be a three-phase project.
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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.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
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.
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.
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.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
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.
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.
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
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.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
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.
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.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
