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Is Tesla Motors disruptive or disturbing?
Tesla Motors stands out in many ways, leaving many wondering how disruptive is it and how disturbing it is for corporations. One thing is for certain, Tesla reflects a need in society, that of a deep fundamental change. The problem is, are giant corporations ready for this change and can they adapt?
To disrupt, or not, that is not longer the questions.
Tesla Motors disrupts and irritates the way corporations operate. Elon Musk and Martin Eberhard didn’t invent the wheel, they both used what entrepreneurs are best at, that of asking what is needed. They wanted a cool and fun car that didn’t use dirty polluting petroleum. They went to see what AC Propulsion was working on with their incredible t-zero, the grandfather of the Roadster and the Tesla Roadster born soon after.
Tesla Motors didn’t reinvent the wheel, but disrupted the automotive world by using old and tested technologies, an electric motor and off the shelf batteries. On the flip side, automakers build vehicles with planned obsolescence and constant maintenance, which perpetuate a thriving cash flow through after market and distribution. Tesla introduced an electric car that required close to no maintenance, sold directly to buyers who choose to buy it or not. That was the disruptive part, now let’s look at the disturbing part for automakers.
Steady as she goes down the drain.
We often fault carmakers for everything wrong in the automotive industry, but their worn out business model that won’t adapt to our fast changing needs is really what is wrong. The biggest mistake they made was to over-rely on the market it created in the first place. It simply didn’t see the electric car technology progressing faster than their gasoline one and doubted this new market was ready. They simply didn’t understand people want a real fundamental change, which means taking a step back from bottom line profits.
The Tesla Motors business model frightens established companies because it operates outside their reality and shifts the emphasis back to the consumer. We can debate how much hype there is around a Roadster and a Model S, but fundamentally, one either buys cars because of its superior performance over a gasoline car, or because of the freedom of energy use, with its convenience and reliability and finally, or because it just darn changes things a lot.
Now flash back to the post 2008 era, when the financial world was partying as if there were no tomorrow and carmakers sued any states imposing better fuel economy. Carmakers perpetuated the belief we wanted cars with more cup holders than we truly needed, and favored creature comforts over performance and evolution. The advent of the electric wrestled that grip on the lulled market away from them, the way only a silicon valley startup could with its different business model.
Who’s disturbing now?
So, who’s disturbing now? When we look back in time, almost all big corporations were at one point disruptive. AT&T gave us Unix, Microsoft gave us the potential of the personal computer, but we certainly can’t call them disruptive anymore. They are disturbing in the fact they no longer innovate, but stubbornly pursue a path of pure profitability. Unfortunately, Apple is also following the same trend. The company once famous for stellar customer service and extremely well made computers is now more focused on profits than innovations. It’s Apple store is no longer fun to visit, and manufacturing problems are happening often.
It doesn’t take much extrapolation to see that one day too, Tesla Motors will be in the same situation. Are there exceptions? Certainly IBM made the right change. After decades of focusing on manufacturing, it made the boldest move to go back to consulting. Look at where IBM is now, and compare it to other personal computer makers. So what can companies learn from newer players and what can newer players learn from older companies having come full circle?
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
