Tesla’s unique business model allows them to sell vehicles directly to consumers through both retail locations and Tesla’s online design studio. Direct-to-consumer sales of its vehicles have led to some turbulence with existing car dealerships in many states, including Utah, Louisiana, Connecticut, Texas and Michigan. New Jersey allowed Tesla to open direct sales in the state in 2015, but with conditions. New Jersey’s legislation limited the number of direct-to-consumer dealerships per manufacturer to four stores and required at least one service center in the state. Tesla CEO Elon Musk once compared local car dealers to a mafia protection racket, stating in a Tesla blog post, “The rationale given for the regulation change that requires auto companies to sell through dealers is that it ensures ‘consumer protection’…Unless they are referring to the mafia version of ‘protection’, this is obviously untrue.”
Tesla recently launched a lawsuit to overturn a sales ban put into effect in Michigan in 2014 that prevents the Elon Musk-led electric carmaker from selling directly to consumers within the state. The greatest opposition against Tesla’s plea for direct sales in Michigan comes from both auto dealers and manufacturers, who argue that Tesla disrupts the traditional franchise dealership model.
Courtesy of Teslanomics.co
Ironically, Michigan and Texas which bans Tesla’s direct sales model have public pensions that are significant investors in the Silicon Valley company. However, that isn’t the only financial interest states have in Tesla. All states in the US rely heavily on sales tax to generate revenue. States without stores are forcing owners to purchase and service their vehicles out-of-state, missing out on sales tax in the process, a major revenue loss.
Source: Bloomberg, September 2016
Bill Wolters, of the Texas Automobile Dealers Association, is claiming that the introduction of Tesla into the Texas car market would “reduce competition”, and will incur costs for Texas. However, this argument assumes that dealers are creating added value for their consumers, and if that argument holds, then dealers should be able to keep customers in the market after Tesla enters. Additionally, Tesla is competing against other manufacturers and not franchises.
Racecar driver and environmental activist Leilani Munter protest’s North Carolina’s ban on Tesla’s direct sales model (Photo: Medium/Leilani Munter)
Out of a presumed 400,000 reservations for the Tesla Model 3, it is estimated that roughly half originate from the United States, according to the distribution of early Model 3 reservation data from Model3Tracker.info. Using a loosely estimated assumption of Tesla Model 3 reservations originating from banned states via Model3.ocasual.com, we get the following numbers: 1,250 in Louisiana, 2,980 in Connecticut, 3,076 in Utah, 15,670 in Texas, and 4,230 in Michigan.
The sales tax for Michigan is 6%, Louisiana is 9%, Connecticut is 6.35%, Utah is 4.7%, and Texas is 6.25%
This equates to a loss of $8,883,000 for Michigan, $3,937,500 for Louisiana, $34,278,125 for Texas, $6,623,050 for Connecticut, and $5,060,020 for Utah. That’s a total of $59,791,695 in loss revenue, which does not factor in current sales of Model S and Model X.
| States with Tesla Ban | Sales Tax | Estimated Tesla Model 3 Reservations | Projected state revenue loss (in dollars) |
| Louisiana | 9% | 1250 | $3,937,500 |
| Texas | 6.25% | 15670 | $34,278,125 |
| Michigan | 6% | 4230 | $8,883,000 |
| Connecticut | 6.35% | 2980 | $6,623,050 |
| Utah | 4.70% | 3076 | $5,060,020 |
Navigant Research believes that sales electric vehicles, including hybrid/plug-in hybrid, are set to comprise 9 percent of total vehicle sale by 2025. Currently, EVs make up 3% of total vehicle sales, but the number in 2016 saw a 36 percent increase in sales in the US alone. In 2016, 4,500 EVs were sold in Texas, 2,470 in Michigan, 270 in Louisiana, 1,452 in Connecticut, 1,132 in Utah, and 70 in West Virginia. Texas, Connecticut, and Michigan ranked among states with some of the highest EV sales. Of electric vehicles sold total in 2016, the Tesla Model S was the leading electric vehicle with ringing in at 29,156 vehicles. The Tesla Model S also outsold its entire class of vehicles, combined. Tesla is expecting high demand for Model 3, which will start at roughly half the cost of the Model S.
Source: Topspeed.com
There are currently 223,319 estimated Model 3 reservations in the United States, far greater than the sales of comparable vehicles. The BMW 3 and 4 series which sold around 106,000 vehicles in 2016 and the Mercedes C-Class sold around 77,000 vehicles in 2016. Tesla CEO Elon Musk is expecting to produce 500,000 vehicles in 2018 and tens of thousands this year (Tesla hasn’t released Model 3 production guidance for 2017). Musk’s expectations could make the Model 3 the highest selling vehicle in its class in both 2017 and 2018. The states that ban Tesla dealerships not only miss out on sales tax revenue from Tesla vehicles but in turn create an inconvenience for residents. By instating a direct sales ban on Tesla before the launch of Tesla Model 3, states will not only lose millions of dollars in sales revenue per year but also interfere with and disrupt free market competition and consumer activities.
Feature image courtesy of Delanman via Twitter.
Elon Musk
SpaceXAI just launched into your kitchen with their new app
SpaceXAI just powered its first consumer app and it predicts what you want to buy.
SpaceXAI just made its first move into consumer AI, and it involves your grocery cart. On June 3, 2026, Gopuff and SpaceXAI announced the launch of Go, a Grok-powered shopping assistant built directly into the Gopuff app that predicts what you need before you even start searching for it.
Gopuff is an instant delivery platform that operates more than 400 micro-fulfillment centers across the U.S., delivering everyday essentials, snacks, drinks, and household items in as little as 15 minutes. It is not a restaurant delivery app or a marketplace. It owns its inventory, controls its warehouses, and handles its own logistics, which means it has built one of the most detailed consumer behavior datasets in retail over its 13-year history.
Go combines SpaceXAI’s advanced reasoning, voice, and image generation models with Gopuff’s dataset of hundreds of millions of orders and real-time cultural signals from X to prepare a suggested cart the moment a customer opens the app. It learns each shopper’s habits and automatically builds a personalized cart based on time of day, location, order history, and real-time indicators. Returning customers can check out with a single tap.
Rather than searching for specific items, users can describe a situation like a game-day party or the desire for a healthy breakfast and Go will assemble a cart automatically. It can also predict when shoppers are running low on items like coffee or paper towels and have them packed and delivered in under 15 minutes. Grok voice integration lets users talk to the app in plain conversational language and check out completely hands-free.
Gopuff co-founder and co-CEO Yakir Gola said: “Today, we believe the greatest friction left in commerce is not delivery or instantaneous access to the essentials customers need. It’s the moment before: the thinking, the deciding, the remembering. We’re combining Gopuff’s demand intelligence with xAI’s frontier reasoning to create an everyday shopping experience that feels like a true extension of you.”
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
The timing carries context beyond the product launch. SpaceXAI was formed after SpaceX completed an all-stock merger with Elon Musk’s xAI earlier this year, folding one of the most advanced AI labs in the world into the same corporate structure as the company preparing what could be the largest IPO in history. SpaceXAI is dipping into consumer-focused AI just as it prepares for its public debut, and while Musk has openly discussed building an everything app, this launch uses Grok to power another company’s product rather than launching a standalone consumer platform. Every consumer-facing deployment of Grok ahead of the IPO roadshow adds tangible evidence that SpaceXAI is not just an infrastructure play but a direct competitor in the AI application layer where OpenAI and Google are already fighting for dominance.
Tesla has introduced an enhanced visualization in its Supercharger navigation system, building directly on the Site Maps feature rolled out a few months ago.
This latest software update adds detailed 3D icons that represent specific vehicle models parked at charging stalls, offering drivers a more precise view of site occupancy and layout.
The Site Maps debuted in Tesla’s 2025 Holiday Update, providing 3D overviews of select Supercharger locations with real-time stall availability.
Tesla supplements Holiday Update by sneaking in new Full Self-Driving version
Drivers could see which spots were open, occupied, or out of service when navigating to supported stations.
Now, the system takes this capability further by rendering accurate representations of Tesla vehicles, including distinctions between models such as the Model 3, Model Y, Model S, Model X, and Cybertruck. These icons appear as lifelike 3D renderings, complete with recognizable shapes and proportions that match the actual cars charging at the site:
Supercharger update now shows type of Tesla at charger as well.
Pretty cool. pic.twitter.com/J3NRSIgM0m
— DennisCW | wen my L (@DennisCW_) June 2, 2026
This refinement improves the user experience during road trips and daily charging stops. As drivers approach a Supercharger, the navigation display now shows not just generic occupied markers but identifiable vehicle types plugged into each stall.
Blue indicators highlight active charging sessions, while other visual cues denote availability or maintenance status. The feature integrates seamlessly with the existing map interface, allowing quick assessment of the best available spot based on vehicle size and positioning.
Tesla continues to expand the availability of these detailed Site Maps across its global network. Initially piloted at a limited number of locations, the rollout has progressed steadily, with more stations gaining support in recent software versions.
Owners benefit from better planning, as the system helps identify compatible stalls and reduces uncertainty upon arrival. The update reflects Tesla’s ongoing commitment to refining its navigation and charging ecosystem through iterative software improvements.
In addition to model-specific icons, the enhanced maps maintain all prior functionalities, such as integration with nearby amenities and energy usage predictions. This ensures a comprehensive tool for efficient Supercharging.
As Tesla’s fleet grows and the network scales, such features play a key role in optimizing the overall ownership experience. Future updates may extend similar visualizations to additional sites and incorporate even more data points for drivers.
With this piggyback enhancement, Tesla demonstrates how small but thoughtful additions can elevate an already useful tool, making Supercharger visits smoother and more informed for its customers. The company is expected to broaden the feature’s reach in upcoming releases, further solidifying its leadership in EV charging infrastructure.
Tesla Full Self-Driving v14.3.3 driver monitoring was reportedly scaled back in recent releases, but a new version that was released in the early hours of June 3 aimed to do a better job of keeping those in control of their cars honest, according to release notes.
The release notes for FSD v14.3.3, via Software Version 2026.14.6.7 added:
“Improved driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.”
However, Tesla said this was already enabled in the first rollout of FSD v14.3.3 in late May. We tested it anyway, especially as the Standard Speed Profile seemed less-than-worried about what you were doing during operation.
I decided to try out the Hurry and Mad Max Speed Profiles for this test, and it gave me results that I would have expected. Tesla has evidently ramped up driver monitoring based on the Speed Profile you are using to travel.
The more aggressive the Speed Profile, the more on the hook you will be for taking your attention away from the road. Our testing showed that Mad Max was less likely to allow you to do normal things like change music or adjust navigation without getting an on-screen warning or nag from the driver monitoring system.
Hurry Mode Results
On Hurry, the driver monitoring system on FSD v14.3.3, via Software Version 2026.14.6.7, was more restrictive than Standard but less restrictive than Mad Max. I found that I could scroll through music options for a considerable amount of time, more than 30 seconds:
Roughly :31 between first touching the center screen and getting the first nag
— TESLARATI (@Teslarati) June 3, 2026
Standard gave me about 80 seconds of phone scrolling with absolutely no nags or warnings in a previous test. It is worth noting that this was a previous branch of v14.3.3, but Standard is such a goodie-two-shoes on the road that it is my impression it would not change much.
Here’s an 80-second phone nag test on Tesla FSD v14.3.3.
No alerts, no nagging, no annoyance. https://t.co/1dxvTOw5Cn pic.twitter.com/vYViFpjfoK
— TESLARATI (@Teslarati) May 29, 2026
Mad Max Results
I spent the majority of the drive on Mad Max to see how it truly reacted to the driver having their attention elsewhere. While I did do a short phone test, I am aiming to steer away from those and use the center screen. I think it is a valid criticism that the phone test is dangerous and, not to mention, illegal in Pennsylvania. Changing the navigation and music is a more reasonable, more responsible, and safer test.
With Mad Max being the fastest and most aggressive Speed Profile, I anticipated this being the quickest mode to give me an alert that I needed to look at the road. That was the case with music:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nags on Mad Max https://t.co/qZALU2OujY pic.twitter.com/XddOJ0D47x
— TESLARATI (@Teslarati) June 3, 2026
As well as adjusting Navigation, when I received two nags:
🎥 Testing Tesla FSD v14.3.3 (via 2026.14.6.7) nag while adjusting navigation
Two nags here https://t.co/qZALU2OujY pic.twitter.com/xa3dtaDG1L
— TESLARATI (@Teslarati) June 3, 2026
These nags were more than reasonable, and I think it’s probably good that Tesla is ramping up the driver monitoring. I do believe that it should be relatively strict across all of the Speed Profiles, especially with phone use. When using the center screen, the nag intervals should be based on the speed profile you are utilizing at the time.
These driver monitoring adjustments are a great thing to have while FSD is still under its “Supervised” moniker, but I expect Tesla to continue pushing the limits on what it will allow, especially considering CEO Elon Musk has hinted that phone use is capable with the more recent versions.
You can watch the full drive on YouTube below:
SpaceXAI just launched into your kitchen with their new app
Tesla adds new Supercharger feature for a better idea of what to expect
