Tesla’s AI Day is tomorrow, and the company has been largely silent about details of the upcoming event. Considering how artificial intelligence plays into Tesla’s energy and electric vehicle business, it is no surprise that there is some excitement for AI Day. With this in mind, here are some things that Tesla watchers could expect for the highly-anticipated event.
Updates from Autonomy Day
Tesla bull and Loup Ventures Managing Partner Gene Munster previously noted that AI Day would likely be a “second edition” of sorts for the company’s Autonomy Day event back in 2019. The invitations that have been sent for AI Day suggest that the company is looking to expand its AI use to more than just vehicles. This is something that Elon Musk has mentioned in the past.
During the Q1 2021 earnings call, Musk stated that in the long run, people would start perceiving Tesla as an “AI robotics company” instead of a carmaker or battery storage producer. “I think long term, people will think of Tesla as much as an AI robotics company as we are a car company or an energy company. I think we are developing one of the strongest hardware and software AI teams in the world,” Musk said.
If AI Day does become a follow-up to Autonomy Day, however, Tesla would likely have to discuss some of the updates it has rolled out to its vehicles and self-driving efforts since 2019. These include the removal of radar for the Model 3 and Model Y, which Musk expects would ultimately accelerate the company’s progress towards autonomous driving.
Project Dojo Details
Tesla’s Dojo Supercomputer has long been teased, but its specs and capabilities have never really been revealed by the company. AI Day would be a great venue to formally introduce the world to its supercomputer and its capabilities. Dojo is crucial to Tesla’s self-driving efforts as the computer is tasked with training neural networks that would, in turn, enable the company’s vehicles to behave even more like cautious and confident human drivers on the road.
Gene Munster noted that based on Elon Musk’s previous comments, it appears that Tesla has plans to make Dojo available to other automakers in the future. This should help not just Tesla but the entire auto industry transition into the self-driving era. Musk definitely seems optimistic about Dojo’s contribution to Tesla’s self-driving efforts, which have been both highly praised and criticized to date.
“Dojo is really a — it is a supercomputer optimized for neural net training. We think Dojo will be, probably in order of magnitude, more efficient on, say — not sure what the exact right metric is, but say, per frame of video, we think it will be an order of magnitude more cost efficient in hardware and in energy usage for a frame of video compared to a GPU-based solution or compared to the next best solution that we’re aware of. So then possibly that could be used by others,” Musk stated.
Beyond Automotive and Energy
Tesla already uses AI on its electric vehicles, and the company’s products like Autobidder show that artificial intelligence could also be invaluable for the energy sector. Interestingly enough, Tesla seems to be intent on expanding beyond these markets, with the company teasing more AI-based efforts in its formal invitation.
“This invite-only event will feature a keynote by Elon, hardware and software demos from Tesla engineers, test rides in Model S Plaid, and more. Attendees will be among the first to see our latest developments in supercomputing and neural network training. They’ll also get an inside look at what’s next for AI at Tesla beyond our vehicle fleet,” Tesla wrote.
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Elon Musk has hinted at other “smart” products in the past. During his first appearance at the Joe Rogan Experience podcast in 2018, Musk has stated that it would be great to develop a “Tesla Smart Home” that includes an efficient HVAC system. Musk mentioned this once more in March 2020, when he noted that creating smart and energy-efficient home products would be great since Tesla is already developing a lot of the needed tech for its vehicles.
TSLA Volatility
Tesla watchers and investors would likely have to get ready for some volatility after AI Day tomorrow. While Tesla’s dedicated events such as Autonomy Day and Battery Day were filled to the brim with information, and while both events were mainly for recruitment, TSLA stock ended up dipping the day after. The day after Battery Day in September 2020, for example, TSLA shares dropped 10% as critics pounced on the 4680 cells’ timetable and the fact that the company did not show a physical cell during its event. It will not be surprising if the same thing happens on Friday after AI Day.
Tesla’s AI day is set to be held at Palo Alto, CA, on August 19, 2021, at 5 p.m. PDT. The event would likely be livestreamed as well.
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The Trump Administration today made several key moves to help with the deployment of autonomous vehicles by cutting overreaching red tape that has stifled growth and innovation for years.
The moves, which were put forth by the National Highway Traffic Safety Administration (NHTSA), aim to grant temporary exemptions to at least one company currently, although that could expand in the coming months. Additionally, it will work with organizations to develop standards and a sound but efficient regulatory landscape.
Zoox is the only company mentioned explicitly by the Trump Administration in its press release announcing the new terms today. They will receive a temporary two-year exemption that will allow the commercial deployment of up to 2,500 vehicles annually for two years.
There is a potential exemption for Robomart, Inc., which “requests a temporary exemption from certain FMVSS No. 500 requirements for a low-speed vehicle operated by an ADS without a human driver onboard. NHTSA will publish a separate notice seeking public comment on its merits once the initial evaluation is complete,” the agency said.
Here are the five new terms that Secretary Sean Duffy has implemented through the NHTSA today:
- Allow Zoox to commercially deploy its robotaxis through a temporary exemption.
This temporary exemption will allow the commercial deployment of up to 2,500 vehicles annually for two years, subject to an enhanced, adaptable oversight structure that can evolve as Zoox’s technology advances. - Accelerate development of first-ever AV performance standards through a partnership with SAE Industry Technologies Consortia (ITC).
This partnership will fund a three-year, $5 million “A2SCEND” consortium, bringing together experts to gather data and accelerate creation of the first-ever AV performance standards. This project will inform a single national standard for AV safety to eliminate the patchwork regulatory landscape that has stifled innovation for years. - Publish an interim final rule that allows vehicles manufactured prior to an exemption to be eligible for a commercial deployment exemption.
This rule will modernize the application process and improve access to exemptions for innovators, including AV developers, by granting the NHTSA Administrator the discretion to apply temporary exemptions to vehicles manufactured prior to the effective date of an exemption grant. - Streamline the application process for Part 555 exemptions by updating guidance and soliciting feedback from the public.
By updating the Part 555 exemption process—which allows automakers to temporarily sell a limited number of non-compliant vehicles, primarily to test new technologies—NHTSA is aiming to create a more flexible oversight structure for exemptions and summarize recent AV framework activities, including expanded exemption pathways, streamlined crash reporting, and ongoing efforts to modernize Federal Motor Vehicle Safety Standards (FMVSS). - Establish a new Federal Docket for public feedback on NHTSA’s updated safe AV development and deployment guidance.
NHTSA is updating its technical guidance for AVs for the first time since 2017—focusing on key safety areas like emergency responder interactions, safety management systems, remote assistance, and post-crash behavior to help the industry scale up driverless deployments safely.
Additionally, the NHTSA said it has modernized some safety standards by proposing updates to:
- FMVSS 102 – Transmission shifting
- FMVSS 103/104 – Windshield defrosting and wiping
- FMVSS 110 – Tire placards
- FMVSS 135 – Braking systems
- FMVSS 101 – Controls and displays
- FMVSS 108 – Vehicle lighting
- FMVSS 111 – Mirrors and rearview display
- FMVSS 126 – Electronic stability control systems
- FMVSS 201/208 – Sun visors and warning labels
These changes aim to make the regulatory process for autonomous vehicles more streamlined and efficient, which could help the U.S. gain dominance over autonomous vehicle systems moving forward.
Elon Musk is, in many respects, one of the biggest and most influential figures in modern-day artificial intelligence.
Given that Tesla, SpaceX, and xAI are all looked at in their respective fields as leaders to an extent, each of them has a heavy influence on the future of AI, even though two of them are not thought of, at face value, as AI companies.
Musk has grand expectations for what is to come with AI, not only as a form of assistance to make human lives easier, but to make humans multiplanetary and solve some of the biggest issues that face us today. But even he is astounded by AI’s pace of progress.
He believes that in two years, AI will be so mind-blowing it might be unrecognizable.
Given that AI from 2 years ago feels so old that it should be in a museum, then obviously AI 2 years from now will be mind-blowing https://t.co/TcsKZ8o8OE
— Elon Musk (@elonmusk) July 30, 2026
This progress can be seen in a variety of ways, but perhaps the most popular way people have shown AI’s progress, especially on social media, is through an incredibly arbitrary way of watching Will Smith eat spaghetti:
The progression in AI of Will Smith eating spaghetti (2023 – 2026) pic.twitter.com/VDv82mB5gs
— internet hall of fame (@InternetH0F) February 10, 2026
This is a great way to show people how AI is improving, especially from a perspective that examines how it can manufacture images and video from prompts. AI is an incredibly complex concept, however, and it goes much deeper than Will Smith eating Italian food.
Musk’s most widely adopted method of AI is likely Tesla Full Self-Driving, which impacts millions of people as they utilize it to increase safety with their travel. Musk has routinely pushed incredibly aggressive timelines for self-driving, especially unsupervised.
Perhaps this perspective is why he feels that things will be solved in a timeframe that is much more aggressive than most of us would think. Regardless, the progress of AI is moving fast, and it seems that Musk’s expectations for it could be high.
But if it can actually achieve full-length motion pictures and even more realistic production value, it will be hard to distinguish between reality and AI very soon.
Tesla just officially confirmed it has built its 10 millionth car, a major milestone for the company that started producing sustainable electric powertrains less than two decades ago.
In that time, Tesla has truly revolutionized the automotive industry, disrupting the idea of what a car should be, how it should be fueled, and how it truly impacts day-to-day life.
10 million vehicles produced globally.
Congrats to all Tesla teams! pic.twitter.com/JkcraR63bs— Tesla Manufacturing (@gigafactories) July 30, 2026
Tesla achieved this feat across four production facilities: the Fremont Factory in Fremont, California, Gigafactory Shanghai in China, Gigafactory Berlin in Germany, and Gigafactory Texas in Austin, Texas.
The 10 millionth vehicle was a Diamond Black Model Y.
Over the course of the past roughly 18 years, Tesla has evolved its lineup from a sporty sedan built on a Lotus body to a lineup of various body styles, performance metrics, and other characteristics that make each one unique.
This is an incredible achievement for a company that is young compared to what it goes up against. When Tesla entered the automotive market, Ford, GM, and Stellantis widely dominated the playing field. Since then, Tesla has caused such a disruption that these three massive brands had to scramble to create EV projects of their own.
Despite their best efforts, they have not been able to match the prowess or the effectiveness of Tesla. They are all reliant on Tesla’s charging infrastructure, their software is inferior, and their self-driving projects are elementary in comparison.
Tesla felt its fair share of growing pains over the years as well. As recent at 2019, there were complaints about build quality, paint quality, and overall luxuriousness. These things have all been improved upon through the company’s maturity, and these strides in quality have led to this 10 million vehicle production achievement, something that other small-and-scrappy EV makers will hope to accomplish one day.
Autonomous vehicle red tape gets slashed by Trump Administration
Elon Musk has a crazy prediction about AI in two years
