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Land for Lucid Motors Arizona factory will reportedly be paid by tax payers
Officials in Pinal County, Arizona are considering ways to raise the money needed to purchase 500 acres of land near the city of Casa Grande where Lucid Motors intends to build its $700 million electric car factory. The proposed manufacturing facility was the subject of a high profile press event earlier this month that featured Arizona governor Doug Ducey. All parties acknowledge Ducey was a key player in landing the project for the state of Arizona.
There is only one problem with the deal — the taxpayers of Arizona are expected to pay for the purchase of the land and contribute a significant amount of money to help it get the factory built and operational. When and if everything goes as planned, the factory is expected to create 2,000 jobs in an area where many are unemployed or underemployed.
The land itself will cost $31.8 million, Financing the purchase over 30 years will add another $41.6 million, but Pinal County spokesperson Joe Pyritz says the plan is to lease the land after is is purchased (presumably to Lucid Motors, although the county is not allowed to say so for the record) and then sell it at the end of 5 years. That arrangement would cap the total cost of the deal at $35 million. The sale price is expected to equal the total outlay made by the county for principal and interest.
However, first someone has to actually buy the land. County supervisors will meet in January to consider how to do that. The leading proposal is to finance the purchase by raising property taxes or imposing a countywide sales tax surcharge. Pyritz says if the supervisors decide on a tax increase, the new tax would only cover the land deal and would end once the tax funding reimburses the county for the purchase cost.
Lucid will get other sweeteners to bring its business to Pinal County. The project involves what the Phoenix New Times calls “a significant amount of corporate welfare.” Lucid Motors will be eligible for up to $46.5 million in various subsidies offered by the state through the Arizona Commerce Authority over the next five years. Those subsidies will be coupled with certain performance targets.
The subsidies include:
- $5 million in grant money over five years, dependent on meeting specified job-creation and capital-investment milestones.
- $1.5 million in grant money for job training. The company would pay for the cost of training employees and the state would reimburse 75 percent of the cost over two years.
- $40 million in refundable tax credits under the Qualified Facility Tax Credit Program the legislature created in 2012.
Susan Marie, spokeswoman for the Arizona Commerce Authority is quick to point out that the total amount is far less than the $335 million in tax credits promised to Faraday Future or the $1.3 billion in similar credits promised to Tesla Motors by the state of Nevada.
Lucid revealed its 1,000 horsepower proposed production car — the Lucid Air — last week. The 4 door sedan is said to have up to a 135 kWh battery capacity and capable of driving 400 miles per single charge. The result is something that tops Tesla’s flagship Model S P100D and by a considerable margin. Does that mean Lucid will win customers away from Tesla?
That’s unlikely. Granted that Lucid may have an edge in some areas, it lacks a charging infrastructure. Without something comparable to Tesla’s Supercharger network while having no brand recognition, peeling customers away from Tesla will be a lot harder than just offering a larger battery. But first, Lucid needs to build a factory. That first step is far from guaranteed despite lofty promises form the company.
Tesla’s Head of AI, Ashok Elluswamy, says that something that was expected with version 14.3 of the company’s Full Self-Driving platform has already partially shipped with the current build of version 14.2.
Tesla and CEO Elon Musk have teased on several occasions that reasoning will be a big piece of future Full Self-Driving builds, helping bring forth the “sentient” narrative that the company has pushed for these more advanced FSD versions.
Back in October on the Q3 Earnings Call, Musk said:
“With reasoning, it’s literally going to think about which parking spot to pick. It’ll drop you off at the entrance of the store, then go find a parking spot. It’s going to spot empty spots much better than a human. It’s going to use reasoning to solve things.”
Musk said in the same month:
“By v14.3, your car will feel like it is sentient.”
Amazingly, Tesla Full Self-Driving v14.2.2.2, which is the most recent iteration released, is very close to this sentient feeling. However, there are more things that need to be improved, and logic appears to be in the future plans to help with decision-making in general, alongside other refinements and features.
On Thursday evening, Elluswamy revealed that some of the reasoning features have already been rolled out, confirming that it has been added to navigation route changes during construction, as well as with parking options.
He added that “more and more reasoning will ship in Q1.”
🚨 Tesla’s Ashok Elluswamy reveals Nav decisions when encountering construction and parking options contain “some elements of reasoning”
More uses of reasoning will be shipped later this quarter, a big tidbit of info as we wait v14.3 https://t.co/jty8llgsKM
— TESLARATI (@Teslarati) January 9, 2026
Interestingly, parking improvements were hinted at being added in the initial rollout of v14.2 several months ago. These had not rolled out to vehicles quite yet, as they were listed under the future improvements portion of the release notes, but it appears things have already started to make their way to cars in a limited fashion.
Tesla Full Self-Driving v14.2 – Full Review, the Good and the Bad
As reasoning is more involved in more of the Full Self-Driving suite, it is likely we will see cars make better decisions in terms of routing and navigation, which is a big complaint of many owners (including me).
Additionally, the operation as a whole should be smoother and more comfortable to owners, which is hard to believe considering how good it is already. Nevertheless, there are absolutely improvements that need to be made before Tesla can introduce completely unsupervised FSD.
Elon Musk
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
Tesla CEO Elon Musk has provided an updated estimate for the training data needed to achieve truly safe unsupervised Full Self-Driving (FSD).
As per the CEO, roughly 10 billion miles of training data are required due to reality’s “super long tail of complexity.”
10 billion miles of training data
Musk comment came as a reply to Apple and Rivian alum Paul Beisel, who posted an analysis on X about the gap between tech demonstrations and real-world products. In his post, Beisel highlighted Tesla’s data-driven lead in autonomy, and he also argued that it would not be easy for rivals to become a legitimate competitor to FSD quickly.
“The notion that someone can ‘catch up’ to this problem primarily through simulation and limited on-road exposure strikes me as deeply naive. This is not a demo problem. It is a scale, data, and iteration problem— and Tesla is already far, far down that road while others are just getting started,” Beisel wrote.
Musk responded to Beisel’s post, stating that “Roughly 10 billion miles of training data is needed to achieve safe unsupervised self-driving. Reality has a super long tail of complexity.” This is quite interesting considering that in his Master Plan Part Deux, Elon Musk estimated that worldwide regulatory approval for autonomous driving would require around 6 billion miles.
FSD’s total training miles
As 2025 came to a close, Tesla community members observed that FSD was already nearing 7 billion miles driven, with over 2.5 billion miles being from inner city roads. The 7-billion-mile mark was passed just a few days later. This suggests that Tesla is likely the company today with the most training data for its autonomous driving program.
The difficulties of achieving autonomy were referenced by Elon Musk recently, when he commented on Nvidia’s Alpamayo program. As per Musk, “they will find that it’s easy to get to 99% and then super hard to solve the long tail of the distribution.” These sentiments were echoed by Tesla VP for AI software Ashok Elluswamy, who also noted on X that “the long tail is sooo long, that most people can’t grasp it.”
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Tesla earns top honors at MotorTrend’s SDV Innovator Awards
MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla emerged as one of the most recognized automakers at MotorTrend’s 2026 Software-Defined Vehicle (SDV) Innovator Awards.
As could be seen in a press release from the publication, two key Tesla employees were honored for their work on AI, autonomy, and vehicle software. MotorTrend’s SDV Awards were presented during CES 2026 in Las Vegas.
Tesla leaders and engineers recognized
The fourth annual SDV Innovator Awards celebrate pioneers and experts who are pushing the automotive industry deeper into software-driven development. Among the most notable honorees for this year was Ashok Elluswamy, Tesla’s Vice President of AI Software, who received a Pioneer Award for his role in advancing artificial intelligence and autonomy across the company’s vehicle lineup.
Tesla also secured recognition in the Expert category, with Lawson Fulton, a staff Autopilot machine learning engineer, honored for his contributions to Tesla’s driver-assistance and autonomous systems.
Tesla’s software-first strategy
While automakers like General Motors, Ford, and Rivian also received recognition, Tesla’s multiple awards stood out given the company’s outsized role in popularizing software-defined vehicles over the past decade. From frequent OTA updates to its data-driven approach to autonomy, Tesla has consistently treated vehicles as evolving software platforms rather than static products.
This has made Tesla’s vehicles very unique in their respective sectors, as they are arguably the only cars that objectively get better over time. This is especially true for vehicles that are loaded with the company’s Full Self-Driving system, which are getting progressively more intelligent and autonomous over time. The majority of Tesla’s updates to its vehicles are free as well, which is very much appreciated by customers worldwide.
Tesla AI Head says future FSD feature has already partially shipped
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
