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EXCLUSIVE: ‘Rivian wanted what Georgia had’: How the Peach State became Rivian’s $5B match
In the Northern portion of Georgia, about 45 miles East of Atlanta, a 2,000-acre slice of land is covered in beautiful trees, hosting stunning landscapes of the rural sections of the Peach State. For several years, Georgia Economic Development Department Commissioner Pat Wilson has pitched this massive piece of beautiful real estate to various automakers, with nobody willing to bring another massive vehicle manufacturing facility to the heart of the Southeastern United States. That was until Rivian came to town.
“It was the perfect company for the perfect site.”
“We considered making it an OEM site,” Wilson, who has been the Commissioner of the State of Georgia’s Economic Development Department since November 2016, told Teslarati in an exclusive interview. He showed the property to Volvo and Toyota/Mazda, among others, over the past few years, but could not come to terms with them on the land. These large-scale, mass-market automakers were unwilling to join Kia, which has a massive $1.8 billion, 2.2 million square foot factory just miles away from the Georgia-Alabama border, to bring a sizeable manufacturing plant to Georgia. It just was not the right fit.
The right fit would eventually come along. While sifting through requests from various companies who were interested in the site and ultimately coming up with no buyers, Wilson knew the right company would eventually show up to build on the land. It would not end up being a car company with a long-standing history of successful automotive manufacturing. Instead, a company known as Rivian Automotive, which just rolled its first production units off of an assembly line in Normal, Illinois, and completed its first deliveries earlier this year, was requesting information. It would end up being the peach Georgia needed to secure its single most significant investment in state history — $5 billion, to be exact. “It was the perfect company for the perfect site,” Wilson said. “Rivian wanted what Georgia had.”
Rivian will build its next EV manufacturing plant in Georgia
CEO RJ Scaringe eventually drove around the 2,000-acre site in a Rivian R1T, plotting ideas and envisioning his young and scrappy company’s second U.S.-located automotive assembly plant. It is a beautiful landscape, and it needed to be preserved. “RJ was genuinely concerned about keeping the area environmentally stable. ” Wilson said. “You only have to look at their website and read a little bit of it to see that this is a company that cares about the world and sustainability. It was important to him to keep the area in its beautiful state.”
“RJ was genuinely concerned about keeping the area environmentally stable…It was important to him to keep the area in its beautiful state.”
Rivian wanted a property with a beautiful landscape, and Wilson said the company wanted to preserve its beauty and integrate its future automotive facility into the topography, which will hit its expected employment of 7,500 people in 2028. It also did not intrude on locals or nearby residents, who gave their blessing for the Economic Development Department to offer the area to large industries. “We don’t propose sites unless we are invited to do so,” Wilson clarified. Citizens welcomed projects with open arms, which solved half of the issue. The next was selling Rivian on the idea.
Selling Scaringe: Lofty Expectations
Rivian undoubtedly had its reservations, and its elevated expectations and accelerated timeline scared off plenty of other regions that were in the running for “Project Terra.” Like other high-tech electric vehicle startups, Rivian had lofty goals to begin production shortly after construction starts. Other states and areas might not have been as willing or able as Georgia to commit to the quick turnaround Rivian and Scaringe had described. Construction will begin in Georgia in Summer 2022, with production lines ramping up in 2024. Rivian hopes to have one of its non-negotiable terms met by launching production around two years after construction crews break ground. Evidently, Speed to Market was a real need for Rivian, and it needed the right State and the right team to make it happen.
CEO & Founder of Rivian, RJ Scaringe (Photo: Rivian)
Speed and efficiency of the construction process was not the only advantage Rivian saw with the site, however. The 2,000-acre land plot that the company locked up and subsequently announced during the company’s first quarterly earnings call as a publicly-traded entity last week also has a great location that could alleviate potential supply chain concerns. Sitting in the Interstate 20 corridor, the plant will have easy access to the Port of Savannah and the State’s 5,000 miles of railway to deliver manufacturing materials quickly. This solved logistical concerns relatively quickly.
There were other concerns too, however. Georgia has one of the lowest unemployment rates in the United States, which sounds like a good thing. Department of Labor statistics listed Georgia’s unemployment rate at just 2.8% for November 2021, the fourth-lowest rate federally, following Nebraska (1.8%), Utah (2.1%), and Oklahoma (2.5%). Interestingly and nearly counterintuitively, a low unemployment rate could actually bring some large-scale companies with sizeable employment needs problems down the road, and Rivian knew that Georgia had a reputation for keeping its people employed. Governor Brian Kemp kept the State’s workforce relatively operational through the COVID-19 pandemic in 2020 and 2021. “He created structure for the State,” which ultimately kept Georgia’s people at work, eliminating widespread unemployment and furloughs, Wilson said.
Georgia committed to Rivian’s needs and essentially removed its concerns regarding employment by securing plans for a Quick Start workforce training program facility at the future automotive plant. Quick Start is a State-sponsored program created in 1967 that provides customized workforce training for expanding industries. It runs through the Georgia Technical College System and gives workers free, hands-on, in-depth training that contributes to the state’s economy. Wilson said the program essentially lets taxpayer dollars be funded back into local communities through job training. It keeps people at work, it invests back into the citizens of the State, and most importantly, it prepares them for the job they are about to start. It is a highly successful and proven program that resulted in the first car ever built at the Kia Factory in West Point being fully operational. This is an event that does not happen often, as most vehicles that roll off of production lines as prototypes in a facility’s early days are usually a result of training and are not close to production quality.
Quick Start does more than give employees comprehensive, hands-on training. It also gives Georgians the opportunity to stay in their communities and develop them. Wilson was adamant that the Quick Start program has retained indescribable amounts of talent in Georgia, keeping the State’s workforce and some of its most brilliant minds local. “It gives people a chance to help their communities, but it keeps Georgia talent in Georgia. It benefits the taxpayers because we are investing back into our people,” Wilson added.
While Rivian’s project is the most recent to enter Georgia, Wilson certainly hopes it is not the last. “I hope more EV makers come to our State,” he said. “There will be more change in the automotive industry in the next ten years than there was in the last 100. These are jobs for the future, and we are looking for them because it is generational for the State. These plants will create jobs 60 years down the road.”
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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Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
Tesla Full Self-Driving v14.2.2.5 hit my car back on Valentine’s Day, February 14, and since I’ve had it, it has become, in my opinion, the most confusing release I’ve ever had.
With each Full Self-Driving release, I am realistic. I know some things are going to get better, and I know some things will regress slightly. However, these instances of improvements are relatively mild, as are the regressions. Yet, this version has shown me that it contains extremes of both.
It has been about three weeks of driving on v14.2.2.5; I’ve used it for nearly every mile traveled since it hit my car. I’ve taken short trips of 10 minutes or less, I’ve taken medium trips of an hour or less, and I’ve taken longer trips that are over 100 miles per leg and are over two hours of driving time one way.
These are my thoughts on it thus far:
Speed Profiles Are a Mixed Bag
Speed Profiles are something Tesla seems to tinker with quite frequently, and each version tends to show a drastic difference in how each one behaves compared to the previous version.
I do a vast majority of my FSD travel using Standard and Hurry modes, although in bad weather, I will scale it back to Chill, and when it’s a congested city on a weekend or during rush hour, I’ll throw it into Mad Max so it takes what it needs.
Early on, Speed Profiles really felt great. This is one of those really subjective parts of the FSD where someone might think one mode travels too quickly, whereas another person might see the identical performance as too slow or just right.
To me, I would like to see more consistency from release to release on them, but overall, things are pretty good. There are no real complaints on my end, as I had with previous releases.
In a past release, Mad Max traveled under the speed limit quite frequently, and I only had that experience because Hurry was acting the same way. I’ve had no instances of that with v14.2.2.5.
Strange Turn Signal Behavior
This is the first Full Self-Driving version where I’ve had so many weird things happen with the turn signals.
Two things come to mind: Using a turn signal on a sharp turn, and ignoring the navigation while putting the wrong turn signal on. I’ve encountered both things on v14.2.2.5.
On my way to the Supercharger, I take a road that has one semi-sharp right-hand turn with a driveway entrance right at the beginning of the turn.
Only recently, with the introduction of v14.2.2.5, have I had FSD put on the right turn signal when going around this turn. It’s obviously a minor issue, but it still happens, and it’s not standard practice:
How can we get Full Self-Driving to stop these turn signals?
There’s no need to use one here; the straight path is a driveway, not a public road. The right turn signal here is unnecessary pic.twitter.com/7uLDHnqCfv
— TESLARATI (@Teslarati) February 28, 2026
When sharing this on X, I had Tesla fans (the ones who refuse to acknowledge that the company can make mistakes) tell me that it’s a “valid” behavior that would be taught to anyone who has been “professionally trained” to drive.
Apparently, if you complain about this turn signal, you are also claiming you know more than Tesla engineers…okay.
Nobody in their right mind has ever gone around a sharp turn when driving their car and put on a signal when continuing on the same road. You would put a left turn signal on to indicate you were turning into that driveway if that’s what your intention was.
Like I said, it’s a totally minor issue. However, it’s not really needed, and nor is it normal. If I were in the car with someone who was taking a simple turn on a road they were traveling, and they signaled because the turn was sharp, I’d be scratching my head.
I’ve also had three separate instances of the car completely ignoring the navigation and putting on a signal that is opposite to what the routing says. Really quite strange.
Parking Performance is Still Underwhelming
Parking has been a complaint of mine with FSD for a long time, so much so that it is pretty rare that I allow the vehicle to park itself. More often than not, it is because I want to pick a spot that is relatively isolated.
However, in the times I allow it to pull into a spot, it still does some pretty head-scratching things.
Recently, it tried to back into a spot that was ~60% covered in plowed snow. The snow was piled about six feet high in a Target parking lot.
A few days later, it tried backing into a spot where someone failed the universal litmus test of returning their shopping cart. Both choices were baffling and required me to manually move the car to a different portion of the lot.
I used Autopark on both occasions, and it did a great job of getting into the spot. I notice that the parking performance when I manually choose the spot is much better than when the car does the entire parking process, meaning choosing the spot and parking in it.
It’s Doing Things (For Me) It’s Never Done Before
Two things that FSD has never done before, at least for me, are slow down in School Zones and avoid deer. The first is something I usually take over manually, and the second I surprisingly have not had to deal with yet.
I had my Tesla slow down at a school zone yesterday for the first time, traveling at 20 MPH and not 15 MPH as the sign suggested, but at the speed of other cars in the School Zone. This was impressive and the first time I experienced it.
I would like to see this more consistently, and I think School Zones should be one of those areas where, no matter what, FSD will only travel the speed limit.
Last night, FSD v14.2.2.5 recognized a deer in a roadside field and slowed down for it:
🚨 Cruising home on a rainy, foggy evening and my Tesla on Full Self-Driving begins to slow down suddenly
FSD just wanted Mr. Deer to make it home to his deer family ❤️ pic.twitter.com/cAeqVDgXo5
— TESLARATI (@Teslarati) March 4, 2026
Navigation Still SUCKS
Navigation will be a complaint until Tesla proves it can fix it. For now, it’s just terrible.
It still has not figured out how to leave my neighborhood. I give it the opportunity to prove me wrong each time I leave my house, and it just can’t do it.
It always tries to go out of the primary entrance/exit of the neighborhood when the route needs to take me left, even though that exit is a right turn only. I always leave a voice prompt for Tesla about it.
It still picks incredibly baffling routes for simple navigation. It’s the one thing I still really want Tesla to fix.
Investor's Corner
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet,” BoA wrote.
Tesla received a tip of the hat from major Wall Street firm Bank of America on Wednesday, as it reinitiated coverage on Tesla shares with a bullish stance that comes with a ‘Buy’ rating and a $460 price target.
In a new note that marks a sharp reversal from its neutral position earlier in 2025, the bank declared Tesla’s Full Self-Driving (FSD) technology the “leading consumer autonomy solution.”
Analysts highlighted Tesla’s camera-only architecture, known as Tesla Vision, as a strategic masterstroke. While technically more challenging than the multi-sensor setups favored by rivals, the vision-based approach is dramatically cheaper to produce and maintain.
This cost edge, combined with Tesla’s rapidly expanding real-world data engine, positions the company to scale robotaxis far more profitably than competitors, BofA argues in the new note:
“Tesla is at the forefront of autonomous driving, supported by a camera-only approach that is technically harder but much cheaper than the multi-sensor systems widely used in the industry. This strategy should allow Tesla to scale more profitably compared to Robotaxi competitors, helped by a growing data engine from its existing fleet.”
The bank now attributes roughly 52% of Tesla’s total valuation to its Robotaxi ambitions. It also flagged meaningful upside from the Optimus humanoid robot program and the fast-growing energy storage business, suggesting the auto segment’s recent headwinds, including expired incentives, are being eclipsed by these higher-margin opportunities.
Tesla’s own data underscores exactly why Wall Street is waking up to FSD’s potential. According to Tesla’s official safety reporting page, the FSD Supervised fleet has now surpassed 8.4 billion cumulative miles driven.
Tesla FSD (Supervised) fleet passes 8.4 billion cumulative miles
That total ballooned from just 6 million miles in 2021 to 80 million in 2022, 670 million in 2023, 2.25 billion in 2024, and a staggering 4.25 billion in 2025 alone. In the first 50 days of 2026, owners added another 1 billion miles — averaging more than 20 million miles per day.
This avalanche of real-world, camera-captured footage, much of it on complex city streets, gives Tesla an unmatched training dataset. Every mile feeds its neural networks, accelerating improvement cycles that lidar-dependent rivals simply cannot match at scale.
Tesla owners themselves will tell you the suite gets better with every release, bringing new features and improvements to its self-driving project.
The $460 target implies roughly 15 percent upside from recent trading levels around $400. While regulatory and safety hurdles remain, BofA’s endorsement signals growing institutional conviction that Tesla’s data advantage is not hype; it’s a tangible moat already delivering billions of miles of proof.
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Tesla to discuss expansion of Samsung AI6 production plans: report
Tesla has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla is reportedly discussing an expansion of its next-generation AI chip supply deal with Samsung Electronics.
As per a report from Korean industry outlet The Elec, Tesla purchasing executives are reportedly scheduled to meet Samsung officials this week to negotiate additional production volume for the company’s upcoming AI6 chip.
Industry sources cited in the report stated that Tesla is pushing to increase the production volume of its AI6 chip, which will be manufactured using Samsung’s 2-nanometer process.
Tesla previously signed a long-term foundry agreement with Samsung covering AI6 production through December 31, 2033. The deal was reportedly valued at about 22.8 trillion won (roughly $16–17 billion).
Under the existing agreement, Tesla secured approximately 16,000 wafers per month from the facility. The company has reportedly requested an additional 24,000 wafers per month, which would bring total production capacity to around 40,000 wafers if finalized.
Tesla purchasing executives are expected to discuss detailed supply terms during their visit to Samsung this week.
The AI6 chip is expected to support several Tesla technologies. Industry sources stated that the chip could be used for the company’s Full Self-Driving system, the Optimus humanoid robot, and Tesla’s internal AI data centers.
The report also indicated that AI6 clusters could replace the role previously planned for Tesla’s Dojo AI supercomputer. Instead of a single system, multiple AI6 chips would be combined into server-level clusters.
Tesla’s semiconductor collaboration with Samsung dates back several years. Samsung participated in the design of Tesla’s HW3 (AI3) chip and manufactured it using a 14-nanometer process. The HW4 chip currently used in Tesla vehicles was also produced by Samsung using a 5-nanometer node.
Tesla previously planned to split production of its AI5 chip between Samsung and TSMC. However, the company reportedly chose Samsung as the primary partner for the newer AI6 chip.
Tesla Full Self-Driving v14.2.2.5 might be the most confusing release ever
Tesla gets tip of the hat from major Wall Street firm on self-driving prowess
