At the Wall Street Journal’s (WSJ) CEO Council Summit, Elon Musk shared some updates on the Tesla Bot and how it could alleviate human labor shortage in the future.
During Tesla AI Day, when the company unveiled the Tesla Bot, Musk explained that the humanoid robot could be used to help with “boring, repetitive, dangerous work.” At the WSJ summit, Musk elaborated further on the primary purpose of the Tesla Bot.
“[The Tesla Bot] has the potential to be a generalized substitute for human labor over time. The foundation of the economy is labor. Capital equipment is essentially distilled labor… The fundamental constraint is labor. There are not enough people. I can’t emphasize this enough. There are not enough people. I think one of the biggest risks for civilizations is the low birthrate and the rapidly declining birthrate.
“And yet, so many people, including smart people, think there are too many people in the world and think that the population is going out of control. It’s completely the opposite. Please look at the numbers. If people don’t have children, civilization is going to crumble. Mark my words,” Musk said.
Multiple studies through the years have shown that global birth rates are declining. According to the UN Population Division, for a country to naturally replace its population, it should have a fertility rate or replacement rate of at least 2.1. Very few countries have a birthrate that meets the minimum replacement rate.
A quick look at the map below reveals many countries worldwide have a fertility rate below 2.0. For instance, China has a fertility rate of 1.7, and Japan’s is 1.4. Asia’s fertility rates seem to fluctuate between 1.0 to above 2.1.
Meanwhile, in Europe, most nations have a fertility rate below 2.1. For example, Germany has a fertility rate of 1.6, and Italy’s replacement rate is 1.3. In North America, it is below 2.1 as well. The United States has a fertility rate of 1.7, and Canada’s replacement rate is 1.5.
Some parts of the globe have fertility rates higher than 2.1, like Nigeria, which has a replacement rate of 5.4. However, births are trending on a decline. For instance, Nigeria’s current fertility rate decreased from 6.35 in the ’60s to its current rate in 2019.
Experts believe declining birth rates could slow economic growth. One study published by the University of Alabama identified some adverse outcomes of declining birth rates, including labor shortages, wage pressures, and large turnover rates. The Tesla Bot seems to be a resolution to expected labor shortages caused by low birth rates.
Tesla is due to release a prototype of its humanoid AI robot next year. The company has already started a hiring ramp for the Tesla Bot in 2022. Tesla has posted jobs mostly related to manufacturing and engineering for its humanoid robot, like postings for Controls Engineers and Engineering Technicians.
Musk shared also shared some details about Tesla’s progress with its humanoid AI robot project at the summit.
“With Tesla Autopilot and Full Self-Driving we’re effectively creating the most advanced, practical AI for navigating the world. You can almost think of Tesla as the world’s biggest company, or semi-sentient robot company. The car is already kind of like a robot on four wheels. So then, it’ll probably take the same technology and put it in a humanoid robot and make it be useful.
“Essentially, for the humanoid part, we need to develop some custom actuators and sensors and essentially use the Tesla Full Self-Driving or Autopilot or just generally speaking, real world navigation AI for the humanoid robot and I think this could be quite profound. I don’t know exactly when we will get this right, but we will get it right,” he said.
Watch Elon Musk’s WSJ interview below!
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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
