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Why Tesla Model Y tax credit inclusion is good for some and bad for others
The Tesla Model Y complete lineup was recently added to the IRS list of qualifying vehicles that will give buyers a $7,500 tax credit. While it may seem like the company’s huge price cuts coupled with the tax credit would be good for everyone, it spells bad news for competitors that offer comparable EVs in the same category.
On Friday, the Model Y’s entire lineup was added to the list of qualifying vehicles after the U.S. Department of Treasury said, “The change will allow crossover vehicles that share similar features to be treated consistently.” The Model Y’s five-seat configurations did not reach the weight requirement to be considered SUVs and were put in another category that included “All Other Vehicles.” The price limit to qualify for the tax credit differs by $25,000: $55,000 for All Others, and $80,000 for SUVs.
Tesla Model Y’s complete lineup now qualifies for EV tax credits through Inflation Reduction Act
The inclusion is obviously a good thing for consumers, and events that transpired afterward are good for the investors. With Tesla’s $13,000 price cut on Model Y configurations in early January, the automaker had quadrupled the vehicle’s addressable market. At the same time, it had offered a substantial discount to some who could already justify the purchase, and if they were on the fence, there’s no denying that this inevitably won them over.
Lower prices mean more sales. The Model Y was already making waves in terms of Tesla’s total concentration of sales by model, and it has routinely competed with the Model 3 in various markets and won in many of them. However, the cuts meant Tesla would have to eat some of its margins, which were incredibly high, trailing only Ferrari and BMW in that category. Analysts and more hellbent investors who are obsessed with the company making as much money as possible may not have loved the price cuts, and Tesla obviously will not be making as much of a profit per vehicle. However, on Saturday, following the Model Y’s inclusion to the qualifying vehicles list, Tesla bumped up prices by $1,500.
Is it the $13,000 the automaker trimmed in January? No, absolutely not. But Tesla is already making considerable money on each unit, and the company’s industry-leading tech and Supercharging network are inevitably what will win consumers over, especially as the vehicle is still vastly more affordable than before. With Tesla reaching 1.313 million deliveries last year in 2022, the company has pulled out all the stops to get sales figures off to a fast start in 2023, with various discounts and other programs to push vehicles out the door.
Credit: Tesla
The old saying goes that one’s trash is another’s treasure, and in this instance, the competition is getting the trash while consumers are getting the treasure. Tesla’s massive price cuts and now qualifying tax credits make it a pretty simple choice for consumers. Without a doubt, one of the biggest issues with EV ownership, or at least in the broad consensus of the average consumer, is “Where will I charge my EV?” While this question still makes me chuckle to myself and want to say, “That thing you live in can do it. You know? Your house?” It’s much more complex than that.
A charging network is really what sets Tesla apart from the others. Some consumers may have been willing to spend a little extra to have the confidence that they could be surrounded by charging options, and Tesla is really the only automaker that has such broad options in terms of charging that it really doesn’t have a current competitor. If Tesla does end up opening up its network to other EVs, then this conversation changes. Of course, other companies out there have a robust infrastructure that is quickly growing. Still, these companies are often plagued by maintenance issues, rising costs, and a less-than-desirable experience.
Tesla is already controlling a majority of the U.S. market for electric vehicles, and there are worthy competitors. Volkswagen, Ford, and General Motors all have a wide variety of strategies in their plans to dethrone Tesla. Meanwhile, Polestar, Rivian, Lucid, and other startups are still working through their issues, which are usually money-related.
Tesla is well ahead of the curve, especially as it has already figured out mass production and launched a lineup of competitive vehicles with plans of more styles and applications to come. The inclusion of the Model Y, which CEO Elon Musk believes will be the best-selling car in the world one day, to the tax credit program only spells disaster for the companies attempting to catch up. Meanwhile, Tesla sits comfortably in the driver’s seat, and there does not seem to be any true comparison in current sight.
Disclosure: Joey Klender does own Tesla stock.
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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.”
News
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
