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Tesla details plan for increased Model Y pricing stability in Australia
As Chinese automakers increasingly deploy low-priced EVs in the Australian market, one Tesla executive explains one way the company plans to stay competitive.
A Tesla executive managing the Australian and surrounding markets has detailed the company’s plans to move away from rapid pricing changes with the arrival of the new Model Y, especially as electric vehicle (EV) competition from other Chinese automakers arrives in Australia and surrounding markets.
Thom Drew, Tesla’s Country Director for New Zealand and Australia, said in an interview with Chasing Cars on Friday that the recently refreshed Model Y will make it to Australian markets with more consistent pricing. The statement comes after the Model Y remained Australia’s best-selling EV in 2024, and he says that the era of the Tesla price war seems to be winding down as the SUV gets more affordable.
“We are certainly not going to get into price wars,” Drew said. “I know we have famously been known for changing our prices rapidly over the past several years.
“I really think we have gotten to a point with our pricing where it is where it should be. Once we release the general production pricing for Model Y, I think we are at a really good point. Particularly with the refinements on the [upgraded] vehicle, it is exceptional value for money.”
First deliveries of the Launch Edition Model Y refresh are expected in May, and Drew says initial shipments will be large in volume to match significant demand for the EV. The executive also confirmed that the highly-coveted rear-wheel-drive (RWD) model, the Launch Edition of which is currently sold out, will go on sale again as the regular edition in the weeks to come.
At the time of writing, you can still order the Launch Edition configuration of Tesla’s Long Range, all-wheel-drive (AWD) Model Y on its online order configurator.
READ MORE ON TESLA’S NEW MODEL Y: Australia’s top car website gives Tesla Model Y and Model 3 its best EV awards
It’s not clear at this time if Tesla plans to employ similar strategies in markets beyond the Asia-Pacific, though Drew highlights the pricing stability efforts as a necessary measure to remain competitive amongst incoming EVs from Chinese automakers. Between this and optimizing consumer experiences by making great vehicles, the executive explains that the company remains intent on holding onto its number one seller spot.
“We need to make sure we are hyper-focussed on the quality of our products and our competitiveness,” he says. “[We need to] be looking around today and making sure that we have the best ownership experience to keep our brand at the number-one point.”
At this point, Drew also says that the Model Y is the most affordable option in the Australian market, highlighting that keeping the price stable should hold competitors off for the foreseeable future, at the very least. The news also comes as reports say that Tesla may already be looking to launch an even cheaper Model Y in China, which could make the vehicle even more competitive with future iterations.
“At the moment, there is no cheaper model that I am aware of,” Drew adds. “If there was one, absolutely [we would have our hand up].”
The Australian market requires right-hand-drive (RHD) vehicles, meaning that they drive on the left side of the road and are equipped with steering wheels on the right side of the automobile. Tesla’s Gigafactory in Shanghai supplies the markets in Australia, New Zealand and multiple surrounding regions throughout the Asia-Pacific.
Tesla launched the upgraded Model Y in China in January, after months of speculation that the refreshed SUV would soon be launched. The automaker began initial deliveries of the Launch Edition Model Y refresh in China last month, officially transitioning to the sale of the regular edition of the vehicle at the beginning of March.
Australia has received 107k of Tesla’s 1 million exports from Giga Shanghai: report
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
