News
Tesla gets J.D. Power Home Charging Experience Award for 3rd consecutive year
Electric vehicles are becoming more mainstream, and amidst this trend, home electric car charging solutions have only become more prominent. As per the findings of data analytics firm J.D. Power in its 2023 US Electric Vehicle Experience (EVX) Home Charging Study, about 68% of EV owners today utilize a Level 2 permanently mounted station.
J.D. Power noted that Level 2 portable and Level 2 permanently mounted charging stations are utilized by 83% of EV users, though satisfaction among EV owners saw a decline from 2022 to 2023 due to a variety of factors, such as charging costs and charging speeds. For its study, J.D. Power measured EV users’ satisfaction across eight metrics: fairness of retail price; cord length; size of charger; ease of winding/storing cable; cost of charging; charging speed; ease of use; and overall reliability.
The findings of the study showed that among the home charging systems in the market, Tesla’s Level 2 permanently mounted charging solutions are the best. This marks the third consecutive year of Tesla’s dominance in the sector.
Tesla’s Level 2 home charging system scored 790 out of a 1,000-point scale, which is representative of the electric car maker’s vast experience in the EV sector. Following Tesla is GRIZZL-E, which scored 757 points, and Emporia, which scored 754. It should be noted that the segment’s average stood at 740 points as per the study.
Following are other key findings of J.D. Power’s study, as per a press release from the data analytics firm:
- As electricity rates increase, educating owners becomes more critical: Just 51% of EV owners say they are knowledgeable about utility company programs for charging their vehicle at home, which is up slightly from 49% a year ago.
- Scheduling charge time increases satisfaction: More than one-third (35%) of owners say they always schedule a time to charge their vehicle at home, while 49% do not use any scheduling. Among those choosing to schedule home charging via an app, satisfaction is highest when using the vehicle mobile app (739) rather than the charger mobile app (706).
- Geography makes a difference with charging satisfaction: Overall satisfaction with Level 2 home charging is lower in all nine regions in this year’s study than a year ago, with New England having the largest decline of 27 points. The Level 2 satisfaction gap between regions is now 96 points (+20 from a year ago), ranging from a low of 689 in the New England region to a high of 785 in the East South Central region.
- Home charging game changer: Satisfaction improves 179 points when moving up from a Level 1 portable charger (561) to a Level 2 permanently mounted charger (740). Across the eight factors in the study, owner satisfaction is higher in seven factors once the switch is made to a Level 2 permanently mounted charger, especially with charging speed (+373 points). A majority (60%) of current Level 1 users say they are likely to upgrade their home charging station to either a Level 2 permanently mounted charger or a Level 2 portable unit.
Brent Gruber, executive director of the EV practice at J.D. Power, highlighted the importance of home charging systems to the overall electric vehicle experience. “Whether you’re an automaker, dealer or utility company participating in the EV ecosystem, improving the EV owner experience with respect to home charging should be a common goal shared by all.
“There are programs available today that will help EV owners with the startup costs, such as installing or upgrading to a faster Level 2 charger. There are also programs designed to save EV owners money with the ongoing costs of charging their vehicle, like scheduling to charge during the most affordable time of the day. However, J.D. Power sees that there is little awareness and utilization of these benefits. As the EV marketplace continues to grow, brands that help owners take advantage of these offerings will be in a much better position down the road,” he said.
Don’t hesitate to contact us with news tips. Just send a message to simon@teslarati.com to give us a heads up.
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
