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Tesla gives Fiat a wake up call: ‘fake’ electric cars can still manipulate EU emissions standards
New CO2 regulations set to take effect in Europe have several loopholes in place that could derail the goal of reducing new car emissions by 37.5% in the region by 2030, according to a study published by advocacy group Transport & Environment. In a worst-case modeling scenario, gaming of the rules could also result in almost two million fewer zero or low emissions vehicles coming to market between 2025 and 2030, and of those in the market, half might be plug-in hybrids built for compliance, not innovation.
In order to propel the creation of a battery electric auto industry in the region, European Union members and parties participating in the discussions over the new CO2 regulations included incentives in the agreement that were tied to specific vehicle sales. Auto manufacturers with 15% of their sales coming from zero and low emission vehicles by 2025 and 35% from 2030 onwards will have their CO2 targets reduced by a maximum of 5%. This effectively means a company’s new fleet-wide CO2 output would only need to be reduced to 34.4% by 2030 instead of 37.5%, as calculated in the study.
Companies have further been allowed to pool their fleets together to help reach these goals, something which Tesla has recently taken advantage of by partnering with Fiat Chrysler. As a manufacturer of zero-emission vehicles, counting Tesla’s fleet with Fiat’s lowers the average per-vehicle CO2 output, thus lessening the burden for Fiat to meet the emissions standards while Tesla profits from the deal.

On its face, the 5% trade-off for lower emissions standards would be the entry of new, more innovative clean energy vehicles on the market; however, the inclusion of plug-in hybrids in that calculation could be problematic and used to game the system. In order to qualify as a low emissions vehicle, a hybrid car only needs to be under a threshold of 50 g/km CO2 output during testing which assumes full use of the vehicle’s battery. Because most of these plug-in hybrids have very low battery ranges, they’re often not used in practice in favor of the internal combustion engine, thus increasing their real-world CO2 output to around 120 g/km.
The technology behind plug-in hybrids is less innovative and therefore cheaper to produce, so the financial appeal of producing more of these types of vehicles over battery-only electric vehicles is high. The Transport & Environment study estimates that this effect will lead to about 2 million fewer all-electric cars being produced in favor of the cheaper, ‘fake’ electric compliance hybrids.
Other loopholes in the EU regulations also contribute to a reduction in CO2 outcomes. Fourteen countries where non-existent or nascent low emissions vehicle markets were identified will receive nearly double the emissions credit for eco-friendly cars sold to encourage development in the regions.


Simply, a large manufacturer could register thousands of vehicles in one of these markets, acquire double credit for each vehicle, and then quickly sell the vehicles in an established market where demand is higher. When sold, the cars would technically be “used” for record keeping purposes, but new to consumers and presented that way. This would circumvent the point of developing a low emissions market in those countries, further limiting the expansion of low emissions car availability.
The EU member states where double credits apply are Ireland, Greece, Poland, Slovenia, Croatia, the Czech Republic, Slovakia, Bulgaria, Romania, Estonia, Latvia, Lithuania, Cyprus, and Malta.
The final (possible) loophole identified in the Transport & Environment study lies with the inclusion of Norway in the EU regional calculations. The country has not yet formally been included in the 2025/30 standards but is part of the 2020/1 standards currently in effect and will likely be included in the upcoming rules.
Norway is requiring 100% of its vehicles to have zero emissions by 2025, thus guaranteeing sales of those types of cars in a market where ICE vehicles are not competitive. Automakers could concentrate their sales in that region and make less effort to sell in the rest of Europe, all while still remaining compliant with the regulations. Reaching compliance in this manner is another way the intent of the coming CO2 reduction requirements can be manipulated.

The authors of the Transport & Environment study have laid out their proposals to overcome these loopholes, but considering that they were included to win the support of the auto industry in the region, further changes to the regulations seem unlikely. Also, the study could be taking an overly pessimistic view of the possible outcomes the loopholes could lead to.
Consumer markets, even without significant CO2-related regulation, are already showing trends towards increasing low emission vehicle demands, especially for battery electric vehicles like those sold by Tesla. This “Tesla Effect” has been noted by the upper echelons of legacy auto and several have committed to billions in electric fleet investments. Porsche is unveiling its first production electric vehicle, the Taycan, this September and has plans to retire its diesel-powered lineup and embrace electrification. Ford has also recently committed to electrifying its F-series, most notably the classic F-150, as well as invest $11 billion dollars to produce 40 electrified vehicles by 2022.
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.