Elon Musk’s cautionary statements about uncontrolled experimentation with artificial intelligence (AI) have caused some to ridicule him as a fear-monger, and have given many in the mainstream press the idea that he is opposed to using AI, which is very far from the truth. In fact, AI is a major component of Tesla’s Autopilot system, and the company applies it in several other areas as well.
It was only recently that Tesla publicly revealed that it is working on its own AI hardware. At the NIPS machine learning conference in December, Elon Musk announced that Tesla is “developing specialized AI hardware that we think will be the best in the world.” The company has offered few details, but it’s widely assumed that the main application will be processing the algorithms for Tesla’s Autopilot software.
As Bernard Marr reports in a recent article in Forbes, there’s little doubt that Tesla is way ahead of its potential rivals in the data-gathering department. Every Model S and X built with the Autopilot hardware suite, which was introduced in September 2014, has the potential to become self-driving, and all Tesla vehicles, Autopilot-enabled or not, continually gather data and send it to the cloud. The company has many more sensors on the roads than any of its Detroit or Silicon Valley rivals, and the number will mushroom when Model 3 production hits its stride.
Tesla is crowd-sourcing data not only from its vehicles, but could one day obtain data on its drivers through internal cameras that detect hand placement on instruments or a person’s state of alertness. The company uses the information not only to improve Autopilot by generating data-dense maps, but also to diagnose driving behavior. Many believe that this sort of data will prove to be a valuable commodity that could be sold to third parties (much as data on web-browsing habits is today). McKinsey and Company has estimated that the market for vehicle-gathered data could be worth $750 billion a year by 2030.
Forbes explains that the AI built into Tesla’s system operates at several levels. Machine learning in the cloud educates the entire fleet, while within each individual vehicle, “edge computing” can make decisions about actions a car needs to take immediately. There’s also a third level of decision-making, in which cars can form networks with other Tesla vehicles nearby in order to share local information. In the future, when there are lots of autonomous cars on the road, these networks could also interface with cars from other makers, and systems such as traffic cameras, road-based sensors, and mobile phones.
At this point, no one knows what new forms of AI technology the mad scientists in Palo Alto are cooking up, but Forbes found some clues on the Facebook page of Tesla’s hardware partner Nvidia: “In contrast to the usual approach to operating self-driving cars, we did not program any explicit object detection, mapping, path planning or control components into this car. Instead, the car learns on its own to create all necessary internal representations necessary to steer, simply by observing human drivers.”
This unsupervised learning model contrasts with the more familiar approach of supervised learning, in which algorithms are trained beforehand about right or wrong decisions. Each approach has its pros and cons, and it’s likely that Tesla’s strategy includes both.
Forbes reports that Tesla’s use of AI is not limited to Autopilot – the company employs machine learning in the design and manufacturing processes, to process customer data, and even to scan the text in online forums for insights into commonly-reported problems. It’s ironic that some in the press choose to portray Elon Musk as an AI Luddite, when in fact Tesla may be one of the most sophisticated users of the technology.
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Note: Article originally published on evannex.com, by Charles Morris
Source: Forbes
Tesla stock (NASDAQ: TSLA) closed at an all-time high on Tuesday, jumping over 3 percent during the day and finishing at $489.88.
The price beats the previous record close, which was $479.86.
Shares have had a crazy year, dipping more than 40 percent from the start of the year. The stock then started to recover once again around late April, when its price started to climb back up from the low $200 level.
This week, Tesla started to climb toward its highest levels ever, as it was revealed on Sunday that the company was testing driverless Robotaxis in Austin. The spike in value pushed the company’s valuation to $1.63 trillion.
Tesla Robotaxi goes driverless as Musk confirms Safety Monitor removal testing
It is the seventh-most valuable company on the market currently, trailing Nvidia, Apple, Alphabet (Google), Microsoft, Amazon, and Meta.
Shares closed up $14.57 today, up over 3 percent.
The stock has gone through a lot this year, as previously mentioned. Shares tumbled in Q1 due to CEO Elon Musk’s involvement with the Department of Government Efficiency (DOGE), which pulled his attention away from his companies and left a major overhang on their valuations.
However, things started to rebound halfway through the year, and as the government started to phase out the $7,500 tax credit, demand spiked as consumers tried to take advantage of it.
Q3 deliveries were the highest in company history, and Tesla responded to the loss of the tax credit with the launch of the Model 3 and Model Y Standard.
Additionally, analysts have announced high expectations this week for the company on Wall Street as Robotaxi continues to be the focus. With autonomy within Tesla’s sights, things are moving in the direction of Robotaxi being a major catalyst for growth on the Street in the coming year.
Elon Musk
Tesla needs to come through on this one Robotaxi metric, analyst says
“We think the key focus from here will be how fast Tesla can scale driverless operations (including if Tesla’s approach to software/hardware allows it to scale significantly faster than competitors, as the company has argued), and on profitability.”
Tesla needs to come through on this one Robotaxi metric, Mark Delaney of Goldman Sachs says.
Tesla is in the process of rolling out its Robotaxi platform to areas outside of Austin and the California Bay Area. It has plans to launch in five additional cities, including Houston, Dallas, Miami, Las Vegas, and Phoenix.
However, the company’s expansion is not what the focus needs to be, according to Delaney. It’s the speed of deployment.
The analyst said:
“We think the key focus from here will be how fast Tesla can scale driverless operations (including if Tesla’s approach to software/hardware allows it to scale significantly faster than competitors, as the company has argued), and on profitability.”
Profitability will come as the Robotaxi fleet expands. Making that money will be dependent on when Tesla can initiate rides in more areas, giving more customers access to the program.
There are some additional things that the company needs to make happen ahead of the major Robotaxi expansion, one of those things is launching driverless rides in Austin, the first city in which it launched the program.
This week, Tesla started testing driverless Robotaxi rides in Austin, as two different Model Y units were spotted with no occupants, a huge step in the company’s plans for the ride-sharing platform.
Tesla Robotaxi goes driverless as Musk confirms Safety Monitor removal testing
CEO Elon Musk has been hoping to remove Safety Monitors from Robotaxis in Austin for several months, first mentioning the plan to have them out by the end of 2025 in September. He confirmed on Sunday that Tesla had officially removed vehicle occupants and started testing truly unsupervised rides.
Although Safety Monitors in Austin have been sitting in the passenger’s seat, they have still had the ability to override things in case of an emergency. After all, the ultimate goal was safety and avoiding any accidents or injuries.
Goldman Sachs reiterated its ‘Neutral’ rating and its $400 price target. Delaney said, “Tesla is making progress with its autonomous technology,” and recent developments make it evident that this is true.
Investor's Corner
Tesla gets bold Robotaxi prediction from Wall Street firm
Last week, Andrew Percoco took over Tesla analysis for Morgan Stanley from Adam Jonas, who covered the stock for years. Percoco seems to be less optimistic and bullish on Tesla shares, while still being fair and balanced in his analysis.
Tesla (NASDAQ: TSLA) received a bold Robotaxi prediction from Morgan Stanley, which anticipates a dramatic increase in the size of the company’s autonomous ride-hailing suite in the coming years.
Last week, Andrew Percoco took over Tesla analysis for Morgan Stanley from Adam Jonas, who covered the stock for years. Percoco seems to be less optimistic and bullish on Tesla shares, while still being fair and balanced in his analysis.
Percoco dug into the Robotaxi fleet and its expansion in the coming years in his latest note, released on Tuesday. The firm expects Tesla to increase the Robotaxi fleet size to 1,000 vehicles in 2026. However, that’s small-scale compared to what they expect from Tesla in a decade.
Tesla expands Robotaxi app access once again, this time on a global scale
By 2035, Morgan Stanley believes there will be one million Robotaxis on the road across multiple cities, a major jump and a considerable fleet size. We assume this means the fleet of vehicles Tesla will operate internally, and not including passenger-owned vehicles that could be added through software updates.
He also listed three specific catalysts that investors should pay attention to, as these will represent the company being on track to achieve its Robotaxi dreams:
- Opening Robotaxi to the public without a Safety Monitor. Timing is unclear, but it appears that Tesla is getting closer by the day.
- Improvement in safety metrics without the Safety Monitor. Tesla’s ability to improve its safety metrics as it scales miles driven without the Safety Monitor is imperative as it looks to scale in new states and cities in 2026.
- Cybercab start of production, targeted for April 2026. Tesla’s Cybercab is a purpose-built vehicle (no steering wheel or pedals, only two seats) that is expected to be produced through its state-of-the-art unboxed manufacturing process, offering further cost reductions and thus accelerating adoption over time.
Robotaxi stands to be one of Tesla’s most significant revenue contributors, especially as the company plans to continue expanding its ride-hailing service across the world in the coming years.
Its current deployment strategy is controlled and conservative to avoid any drastic and potentially program-ruining incidents.
So far, the program, which is active in Austin and the California Bay Area, has been widely successful.
Tesla stock closes at all-time high on heels of Robotaxi progress
Tesla needs to come through on this one Robotaxi metric, analyst says
