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.
News
Tesla intertwines FSD with in-house Insurance for attractive incentive
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla intertwined its Full Self-Driving (Supervised) suite with its in-house Insurance initiative in an effort to offer an attractive incentive to drivers.
Tesla announced that its new Safety Score 3.0 will automatically have a perfect score of 100 with every mile driven with Full Self-Driving (Supervised) enabled.
The change is designed to boost customers’ average safety scores and deliver noticeably lower monthly premiums.
The move marks the clearest link yet between Tesla’s autonomous driving technology and its proprietary insurance product. Tesla Insurance already relies on real-time vehicle data—such as acceleration, braking, following distance, and speed—to calculate a Safety Score between 0 and 100. Higher scores have long translated into cheaper rates.
Under the previous system, however, even brief manual interventions could drag down the average, frustrating owners who rely heavily on FSD. Version 3.0 eliminates that penalty for supervised autonomous miles, effectively treating FSD-driven segments as the safest possible driving behavior.
The incentive is immediate and financial. Drivers who keep FSD engaged for the majority of their trips will see their overall score rise, potentially shaving hundreds of dollars off annual premiums.
Tesla framed the update as a direct response to customer feedback, many of whom had complained that the old scoring model punished the very behavior it was meant to encourage.
For now, the program applies only to new policies in six states: Indiana, Tennessee, Texas, Arizona, Virginia, and Illinois.
Existing policyholders are not yet included, a point that drew swift questions from the Tesla community. Many owners in other states, including California and Georgia, expressed hope that the benefit would expand nationwide soon.
The announcement arrives as Tesla continues to roll out FSD Supervised updates and push for regulatory approval of more advanced autonomy. By tying insurance savings directly to FSD usage, the company is putting its own actuarial weight behind the technology’s safety claims.
Every mile logged under FSD now carries a documented financial value—lower risk, lower cost—based on Tesla’s internal driving data rather than external crash statistics alone.
Tesla has not disclosed exact premium reductions or the full rollout timeline beyond the six launch states.
Still, the message is clear: the more drivers trust FSD Supervised, the more Tesla Insurance will reward them. In an era when legacy insurers remain cautious about autonomous tech, Tesla is betting that its own data will prove the safest miles are the ones driven hands-free.
Elon Musk
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Tesla has finalized its chip design for AI5, as Elon Musk confirmed today that the new chip has reached the tape-out stage, the final step before mass production.
But in a brief reply on X, Musk clarified Tesla’s AI hardware roadmap, essentially confirming that the new chip will not be utilized for being “enough to achieve much better than human safety for FSD.”
He said that AI4 is enough to do that.
Instead, the AI5 chip will be focused on Tesla’s big-time projects for the future: Optimus and supercomputer clusters.
Musk thanked TSMC and Samsung for production support, noting that AI5 could become “one of the most produced AI chips ever.” Yet, the key pivot came in his direct answer: vehicles no longer need the bleeding-edge silicon.
And thank you to @TaiwanSemi_TSC and @Samsung for your support in bringing this chip to production! It will be one of most produced AI chips ever.
— Elon Musk (@elonmusk) April 15, 2026
Existing AI4 hardware, which is already deployed in hundreds of thousands of HW4-equipped Teslas, delivers safety metrics superior to human drivers for Full Self-Driving. AI5 will instead accelerate Optimus robot development and massive Dojo-style training clusters.
The Tesla CEO’s words mark a strategic shift. Tesla has long emphasized software-hardware co-design, squeezing maximum performance from every transistor. Musk previously described AI5 as optimized for edge inference in both Robotaxi and Optimus.
Now, with AI4 proving sufficient, the company avoids costly retrofits across its fleet while redirecting next-generation compute toward higher-value applications: dexterous robots and exponential training scale.
But is it reasonable to assume AI4 enables unsupervised self-driving? Yes, but with important caveats.
On the hardware side, the claim is credible. Tesla’s FSD stack runs end-to-end neural networks trained on billions of miles of real-world data. Internal safety data reportedly shows AI4-equipped vehicles already outperforming average human drivers by a significant margin in controlled metrics (collision avoidance, reaction time, edge-case handling).
Dual-redundant AI4 chips provide ample headroom for the driving task, leaving bandwidth for future model improvements without new silicon. Musk’s assertion aligns with Tesla’s pattern of over-provisioning compute early, then optimizing ruthlessly, exactly as HW3 once sufficed before HW4 scaled further.
Optimus and our supercomputer clusters.
AI4 is enough to achieve much better than human safety for FSD.
— Elon Musk (@elonmusk) April 15, 2026
Unsupervised autonomy, meaning Level 4 or higher, is not solely a compute problem. Regulatory approval remains the primary gate.
Even if AI4 achieves “much better than human” safety statistically, agencies like the NHTSA demand exhaustive validation, liability frameworks, and public trust.
Tesla’s supervised FSD has shown rapid gains in recent versions, yet real-world edge cases, like construction zones, emergency vehicles, and adverse weather, still require driver intervention in many jurisdictions. Competitors like Waymo operate limited unsupervised fleets, but only in geofenced areas with extensive mapping. Tesla’s vision-only, fleet-scale approach is more ambitious—and harder to certify globally.
In short, Musk’s post is both pragmatic and bullish. AI4 is likely capable of unsupervised FSD from a technical standpoint. Whether regulators and consumers agree, and how quickly, will determine if Tesla’s bet pays off.
The company’s capital-efficient path keeps existing cars relevant while pouring future compute into robots. If the safety data holds, unsupervised autonomy could arrive sooner than many expect.
Elon Musk
Elon Musk signals expansion of Tesla’s unique side business
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
Elon Musk has signaled an expansion of Tesla’s unique side business, something that really has nothing to do with cars or spaceships, but fans of the company have truly adopted it as just another one of its awesome ventures.
Musk confirmed on Wednesday that Tesla would build a new Diner location in Palo Alto, Northern California. After hinting last October that it “probably makes sense to open one near our Giga Texas HQ in Austin and engineering HQ in Palo Alto,” it seems one of those locations is being set into motion.
Sure
— Elon Musk (@elonmusk) April 15, 2026
Long envisioning the Tesla Diner as more than a charging stop, Musk has clearly adopted the idea that the Supercharger and Restaurant combo is a good thing for the company to have. It’s a blend of classic American drive-in culture with futuristic Tesla flair, complete with a 1950s-inspired design, movie screens, and on-site dining.
He first floated broader expansion plans shortly after the LA opening in July 2025, noting that if the prototype succeeded, Tesla would roll out similar venues in major cities worldwide and along long-distance Supercharger routes.
Earlier hints included a confirmed second site at Starbase in Texas, tied to SpaceX operations, underscoring the Diner’s role in enhancing Tesla’s ecosystem behind vehicles.
The Los Angeles location on Santa Monica Boulevard in West Hollywood has served as a high-profile test case. Opened in July 2025 at 7001 Santa Monica Blvd., it features the world’s largest urban Supercharging station with 80 V4 stalls open to all NACS-compatible EVs, over 250 dining seats, rooftop views, and 24/7 service.
The retro-futuristic building replaced a former Shakey’s and quickly became a destination. Tesla reported selling 50,000 burgers in the first 72 days—an average of over 700 daily—drawing crowds with Cybertruck-shaped packaging, breakfast extensions until 2 p.m., and movie screenings.
Palo Alto stands out as a logical next step for several reasons. As Tesla’s longstanding engineering headquarters in the heart of Silicon Valley, the city is home to thousands of Tesla employees, engineers, and executives who could benefit from a convenient, branded gathering spot.
The area boasts high EV adoption rates, dense tech talent, and heavy traffic along key corridors, making a large Supercharger-diner an ideal fit for both daily commuters and long-haul travelers.
Proximity to Stanford University and the innovation ecosystem would amplify its appeal, potentially serving as a showcase for Tesla’s vision of integrated mobility and lifestyle experiences. It could be a great way for Tesla to recruit new talent from one of the country’s best universities.
If Tesla and Musk decide to move forward with a Palo Alto diner, it would build directly on the LA prototype’s momentum while addressing Musk’s earlier calls for expansion near core Tesla hubs.
Whether it materializes as a full confirmation or evolves from these hints remains to be seen, but the pattern is clear: Tesla is testing ways to make charging stops memorable. For EV drivers and enthusiasts alike, a Silicon Valley outpost could blend cutting-edge tech with nostalgic comfort, further embedding Tesla into everyday culture. As Musk’s comments suggest, the future of the Diner looks promising.
Tesla intertwines FSD with in-house Insurance for attractive incentive
Tesla finalizes AI5 chip design, Elon Musk makes bold claim on capability
