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Top 3 reasons why having to pay for Tesla Supercharger use won’t deter buyers
The “will they or won’t they?” argument over Tesla providing free-for-life unlimited Supercharger use is finally receiving more clarity. The company announced that it will provide roughly 1,000 free miles of energy before charging a fee for Supercharger use on cars ordered after January 1, 2017.
But is this the end for Tesla? Will people be lining up in throngs to cancel their Model 3 reservations? Boycotting Tesla and running to buy another car? Nope, not even a little bit. Here are some of the top reasons why this new announcement won’t deter buyers.
1. Pay less for your Tesla
I’ll jump right into arguably the best reason first. The vast majority of new cars buyers have a budget. That reality means having to choose carefully on the options to equip your Tesla with. By decoupling Supercharger use from the price of the vehicle, Tesla is theoretically able to reduce the price barrier to entry.
Plus, you wouldn’t necessarily want to incur a pre-estimated Supercharger energy cost, charged by Tesla, on a vehicle that may not see its fair share of long distance travel and Supercharger use.
Tesla is anticipated to publish details for its new Supercharging program by year end. But regardless of what will be announced, crowdsourced Model 3 reservation data captured through Model3Tracker.info suggests that it won’t even matter. Nearly 80% of Model 3 reservation holders said they were willing to pay an extra fee for access to the Supercharger network. This is even prior to Tesla announcing that it would begin charging for Supercharger use after the allotted 400 kWh cap (~1,000 miles).
2. You have to pay for fuel either way
The Tesla team knew and has repeatedly said that in order to further the adoption of sustainable transport, they had to make a car at least as compelling as its gasoline-powered counterpart. Since the Model 3 will be at least as compelling as a comparable gasoline car, would-be buyers aren’t going to ditch a vehicle that will require paying for fueling in favor of another vehicle that, too, will incur a cost on fuel. This is especially true when the majority of your charging can be done at home, which is infinitely more convenient, and more cost effective, than stopping at a gas station.
Charging at home, in most markets, is very favorable to the cost of gas. Charging on the Supercharger network beyond your free credits will also be favorable and “cost less than the price of filling up a comparable gas car”, according to Tesla. Mix that in with a growing destination program and I’m confident your Tesla road trips will still be economical.
3. Supercharger Credits can be rewarded
When I conceded that Supercharger credits may work after all, I talked about how Tesla could have fun with it. It’s your 1 year anniversary of ownership, take a trip on us! It’s Nikola Tesla’s birthday… You just reached 50,000 gasoline free miles… Aside from the ability to award additional free credits at will, Tesla could also decide to increase the amount of free credits they give per year. I truly believe Tesla is a good company that does right by its customers. For that reason, I think they aimed a bit low with the credit amounts to ensure they can afford to meet the promised amount. I also believe that if they use data to analyze the costs (they will) and find out that they can afford more than they are giving, they’ll do that too.
And remember …
At the end of the day, there’s no free lunch. Reasonable buyers know the truth. Free for life was not sustainable and a bit too good to be true. Model 3 is shaping up to be about the coolest and most important car of our lifetimes. For those of us stateside, an ode to the fighting spirit of America. Supporting a little, unknown company fighting against all odds – especially in light of current events – and completely upending an entire industry is worth every penny.
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.
Elon Musk
Judge clears path for Elon Musk’s OpenAI lawsuit to go before a jury
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder.
A U.S. judge has ruled that Elon Musk’s lawsuit accusing OpenAI of abandoning its founding nonprofit mission can proceed to a jury trial.
The decision maintains Musk’s claims that OpenAI’s shift toward a for-profit structure violated early assurances made to him as a co-founder. These claims are directly opposed by OpenAI.
Judge says disputed facts warrant a trial
At a hearing in Oakland, U.S. District Judge Yvonne Gonzalez Rogers stated that there was “plenty of evidence” suggesting that OpenAI leaders had promised that the organization’s original nonprofit structure would be maintained. She ruled that those disputed facts should be evaluated by a jury at a trial in March rather than decided by the court at this stage, as noted in a Reuters report.
Musk helped co-found OpenAI in 2015 but left the organization in 2018. In his lawsuit, he argued that he contributed roughly $38 million, or about 60% of OpenAI’s early funding, based on assurances that the company would remain a nonprofit dedicated to the public benefit. He is seeking unspecified monetary damages tied to what he describes as “ill-gotten gains.”
OpenAI, however, has repeatedly rejected Musk’s allegations. The company has stated that Musk’s claims were baseless and part of a pattern of harassment.
Rivalries and Microsoft ties
The case unfolds against the backdrop of intensifying competition in generative artificial intelligence. Musk now runs xAI, whose Grok chatbot competes directly with OpenAI’s flagship ChatGPT. OpenAI has argued that Musk is a frustrated commercial rival who is simply attempting to slow down a market leader.
The lawsuit also names Microsoft as a defendant, citing its multibillion-dollar partnerships with OpenAI. Microsoft has urged the court to dismiss the claims against it, arguing there is no evidence it aided or abetted any alleged misconduct. Lawyers for OpenAI have also pushed for the case to be thrown out, claiming that Musk failed to show sufficient factual basis for claims such as fraud and breach of contract.
Judge Gonzalez Rogers, however, declined to end the case at this stage, noting that a jury would also need to consider whether Musk filed the lawsuit within the applicable statute of limitations. Still, the dispute between Elon Musk and OpenAI is now headed for a high-profile jury trial in the coming months.
Tesla’s Elon Musk: 10 billion miles needed for safe Unsupervised FSD
Tesla earns top honors at MotorTrend’s SDV Innovator Awards
