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SpaceX could land Starship on Mars in 2024, says Elon Musk
Four years after Elon Musk revealed “aspirational” plans to launch Starships to Mars in 2022, the SpaceX CEO now believes that 2024 is a more accurate target.
For SpaceX, that two-year ‘delay’ is more impressive than anything given that the company practically restarted Starship development from scratch a year after Musk set the 2022 target. In late 2018, after more than two years of work developing a Starship (then BFR) built out of carbon fiber composites, the CEO revealed that the company was going to completely redesign the rocket to use steel for all major structures.
Two and a half years after that decision, SpaceX has built a vast Starship factory capable of building at least one ship per month, cumulatively fired dozens of full-scale Raptor engines for more than 30,000+ seconds, flown eight full-scale prototypes, and recovered the first full-size Starship in one piece after a high-altitude launch and bellyflop-style descent and landing.
It doesn’t come as a huge surprise that Starship probably wont be attempting any Mars launches in 2022. Had SpaceX not had to return to the drawing board in 2018, Musk may well have been able to achieve that 2022 goal, but wholly redesigning Starship with steel almost certainly delayed development by at least a year. For interplanetary launches, the most efficient trajectories – those that allow a rocket to maximize payload capacity – are only open for several weeks every ~25 months. That means that a rocket that’s one year behind a Mars launch window will still have to wait more than two years for the next launch opportunity.
In Starship’s case, even if SpaceX were ready for its first Mars cargo missions in 2023, it would need to wait until September or October 2024. That’s far from out of the question but three full years will arguably give SpaceX a good amount of time to both ensure that Starship is technically ready and reliable enough to land on Mars while also determining – and likely designing and building – the cargo those first Starships will carry.
SpaceX could also launch the first one or several Mars-bound Starships with an absolute minimum payload under the assumption that success will require several failures, in which case the company would have until 2026 to develop a system capable of finding and gathering Martian ice, processing it into cryogenic liquid oxygen and methane, and storing that propellant for months or even years. Without that complex system of in-situ resource utilization (ISRU), Starship will never be able to leave Mars, turning initial crewed missions into one-way trips.
In the meantime, while SpaceX has successfully proven that Starship’s exotic skydiver-style landing is viable on planets with atmospheres, orbital Starship flight tests will likely pose just as many challenges. Starship will have the largest heat shield of any spacecraft ever built, while that heat shield will also be the first non-ablative shield ever developed by SpaceX. Even if Starship aces reentries from low Earth orbit (LEO), reentries from geostationary, lunar, or Mars transfer orbits are all multiple times more stressful, requiring still more testing to ensure that its ceramic heat shield and steel hull can withstand interplanetary velocity reentries.
SpaceX will also have to develop unprecedented thermal management solutions to keep hundreds of tons of cryogenic liquid propellant at the right temperatures for weeks, months, or even years in orbit, deep space, and on the surfaces of other moons and planets. This is all to say that SpaceX has its work cut out for it as it approaches the dawn of orbital Starship flight tests and has to tackle a number of daunting technical challenges it might end up being the first to solve. But, as SpaceX always has, it will devour each problem piece by piece until Starship is exactly as capable and revolutionary as the company and its CEO have long promised – if a bit behind schedule.
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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
