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Tesla, Trump and the state of self-driving vehicles going into 2025

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Tesla and other companies are actively developing self-driving technologies and driverless ride-hailing platforms, and with President-elect Donald Trump’s transition team already focused on autonomous vehicles, the tech is highly expected to be a major theme in 2025.

According to a Reuters Breakingviews prediction report on Monday, Trump’s moves to minimize regulations surrounding autonomous vehicles and create a federal framework for the technology are expected to supercharge the industry—as increased competition emerges in the U.S. and beyond.

With Tesla CEO Elon Musk also set to play a large role in Trump’s administration, heading up the Department of Government Efficiency (DOGE), the company’s own developments in the sector could also stand to benefit substantially. Reuters also predicts that self-driving pilots could expand under the administration, especially as developers aim to increase the amount of data used to train their systems.

READ MORE ON SELF-DRIVING REGULATIONS: U.S. agency proposes rules for self-driving vehicle incident reporting

Last month, the Trump transition team said that it was already aiming to create a federal self-driving vehicle framework. Additionally, the team earlier this month was reported to be ditching federal requirements on automated driving tech crash reporting, coming as one example of the administration’s aims to streamline regulatory processes in the industry.

Internationally, the Society of Automotive Engineers (SAE) categorizes vehicle automation into five automation levels, which are generally adopted in conversations about robotaxis in the U.S. market as well. You can see these categories below, with Level 3 and above generally considered to be full automation, at least at times, while Level 2 and below are considered partial automation.

Credit: SAE International

According to the data firm Canalys, just 5.5 percent of vehicles sold this year have included Level 2 or more assistance features, such as cruise control and automated lane changes. By 2025, however, Citi research has suggested that models in China below 200,000 yuan (about $28,000) will have these features, playing a major role in consumer demand.

In China, at least 19 companies are currently testing fully autonomous vehicles, and Goldman Sachs expects the country to see as many as 90 percent of consumer sales to have features of Level 3 autonomy or greaterby 2040, compared to just 65 percent in the U.S.

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While these technologies are emerging, McKinsey predicts that self-driving could become a $400 billion industry by 2035. Google parent company Alphabet runs Waymo, a Level 4 driverless ride-hailing service that already offers paid rides, while others, including Pony AI and Baidu also offer rentable self-driving vehicles in select areas.

BYD has invested $14 billion into self-driving, Toyota has around 1.7 trillion yen ($11.3 billion) going toward software, while Volkswagen has invested $700 million into China’s Xpeng Motors. Li Auto and Xiami are also considered potential competitors in these spaces, and 2025 could prove a big year for commercial self-driving hopefuls.

Tesla’s Supervised FSD program, Cybercab unveiled

Meanwhile, Tesla isn’t yet operating a paid ride-hailing service, though it gathers data through owner use of its Supervised Full Self-Driving (FSD) software. Tesla has touted the potential scalability of its Supervised FSD in the past, given that it’s available at least in some form in all of the company’s vehicles.

Musk has also regularly talked about a future in which owners of its vehicles could use an Unsupervised FSD to generate money by giving robotaxi rides while not normally in use.

On that theme, Tesla unveiled the Cybercab in October, a fully autonomous, two-seat vehicle with no pedals, set to eventually make it to the market as a driverless ride-hailing vehicle. It’s also set to be equipped with wireless charging and make use of an automated cleaning robot, offering top-to-bottom autonomy for owners.

MORE ON FSD SUPERVISED: Watch Tesla’s FSD v13.2 navigate away from park in a tricky situation

Tesla skeptics, Waymo’s driverless ride-hails, GM’s Cruise drives into the sunset

Despite the unveiling, some have shared skepticism around how long the vehicles could take to reach the market, especially given that production isn’t set to begin until 2026 with commercial deliveries aiming for “before 2027,” according to Musk during the October 10 “We, Robot” unveiling event.

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On Monday, analyst Gary Black also predicted that fewer than 50 percent of Tesla owners would join the company’s robotaxi fleet, while a Guggenheim researcher in October said Tesla was “extremely unlikely” to reveal a credible path to robotaxi commercialization in the next 12 to 24 months.

Others like Waymo are some of the first companies operating paid driverless ride-hails, and the Google-run firm said in August that its robotaxis were already giving 100,000 paid self-driving rides per week. Meanwhile, General Motors (GM) announced this month that it will officially end funding for its commercial self-driving arm Cruise, after one of the company’s driverless vehicles last year ran over and pinned a pedestrian in San Francisco.

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What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

California regulators add new reporting requirements for self-driving cars

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Zach is a renewable energy reporter who has been covering electric vehicles since 2020. He grew up in Fremont, California, and he currently lives in Colorado. His work has appeared in the Chicago Tribune, KRON4 San Francisco, FOX31 Denver, InsideEVs, CleanTechnica, and many other publications. When he isn't covering Tesla or other EV companies, you can find him writing and performing music, drinking a good cup of coffee, or hanging out with his cats, Banks and Freddie. Reach out at zach@teslarati.com, find him on X at @zacharyvisconti, or send us tips at tips@teslarati.com.

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Cybertruck

Tesla quietly made the Cybertruck even stronger

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Credit: Tesla

Tesla has continued to flex the strength, rigidity, and robustness of its all-electric pickup, the Cybertruck. In fact, since 2019, Cybertruck’s ability to avoid dents, dings, and even gunfire has been one of the main selling points Tesla has used to attract buyers who are looking for a vehicle that can handle the most intense challenges.

But that does not mean Tesla is not still actively trying to make it even better.

In a new hardware update, Tesla has decided to change the material of the Cybertruck’s underbody panels from aluminum to carbon fiber, a move that aims to not only increase pricing efficiency but also improve strength.

RELATED:

Tesla Cybertruck is officially the safest pickup, IIHS says

Cybertruck Lead Engineer Wes Morrill confirmed the change was made to the Cybertruck recently after it was spotted by Coleton Guerin of Out of Spec. This particular trim level was a Cyberbeast, but it is being applied to all trims to keep supply chain efficiency high and have less variance across trim levels.

Morrill said that Tesla tested different materials for the underbody panel protection, and carbon fiber performed better than aluminum, which is what the company was using since its first deliveries in 2023.

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Additionally, there are some efficiency improvements because Tesla can better form the areas around the bolts to keep underbody airflow cleaner than previously.

Carbon fiber is traditionally lighter and more durable than aluminum, which is why it is such a popular material among luxury automakers, and EV makers will utilize some of the materials around battery packs to save weight.

This is the first instance of Tesla utilizing carbon fiber on the Cybertruck’s exterior to help with overall performance and strength. As previously mentioned, Tesla used aluminum to protect the underside of the body, but it is pretty typical for the company to continue making engineering changes that will improve the car in the future.

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Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident

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Credit: Teslarati

Tesla released Full Self-Driving version 14.3.7 yesterday, and after about 90 miles of testing today, it is evident there are some definite fixes from version 14.3.6, which I wrote about last week and called a regression.

Within the first 40 minutes of my drive on v14.3.7, it saved me from getting into an accident with an unaware Dodge Charger driver, and some of the things Tesla seemed to miss in v14.3.6 were definitely improved. All in all, the release so far has some really great performance, and I’m looking forward to testing it further.

For now, here’s everything I noticed with v14.3.7:

Overall Improvement

Just generally speaking from a ride perspective, this was a really great experience. A lot of the hesitancy I experienced on v14.3.6 was gone. There were no instances of brake-stabbing, wheel-jerking, or any uncertain or unconfident movements. It was void of anything that I felt made it timid with v14.3.6.

The one thing I do hope to see down the road is a smaller need to adjust Speed Profiles so often. Because Tesla calls FSD “Supervised,” I’m okay with needing to hit the scroll wheel a few times a drive.

However, I hope that things can be incrementally improved upon with speed. Sometimes it’s too fast; other times it’s too slow. It’s a difficult thing to hone in and refine, but I hope it eventually gets there.

I didn’t notice any significant left lane camping or any behaviors that were completely out of line. I am hopeful that this opinion does not change, but after driving a few days with this version and putting it in a variety of different situations, you are exposed to more behaviors, some of which are not necessarily what I’d prefer.

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The big things to notice, at least in my experience thus far, are that the major issues with previous versions — meaning the braking stabbing and wheel jerking — simply weren’t there. That’s enough to already consider this progress compared to .6.

Manual Signal Override is More Responsive

On .6, I had quite a few issues with FSD ignoring my manually input turn signals. If Tesla wants to call it “Supervised,” then the car should not ignore any input the driver gives. If I touch the accelerator on FSD, the car speeds up.

The car did a great job of obeying my turn signals when I wanted it to change lanes, which is welcome.

Parking Lot Performance

Before .6, I traditionally took over in nearly every parking lot my car entered, because I knew it would not park somewhere that I wanted, and usually, it was just a tad too timid in this setting.

The one bright spot of .6 was how well it handled parking lots. This continued with v14.3.7:

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I’m always really happy to see progress at all, but once parking preferences come to FSD, as long as this performance is still around, that could potentially be the biggest improvement I’ve seen in FSD in the year I’ve been using it personally on a daily basis.

Full Self-Driving Averts Disaster

A Dodge Charger changed into my lane without checking if I was there, running me off the road. FSD made the initial avoidance maneuver; I grabbed the wheel out of instinct, looked in my side mirror to ensure I had nobody following closely behind, hit the brake, and straightened the car back up to avoid a curb:

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There have been quite a few responses to this video stating that I should never have grabbed the wheel. To be honest, I really wish I had not done so, because I do believe FSD would have avoided any sort of collision with anything, including the car or the curb.

However, this was the first time I had ever been this close to being hit while using FSD. My natural reaction was to take over. I think if I had had something like this happen before, my reaction might have been different.

Hitting the brake avoided hitting the curb, while FSD swerved to avoid the car. My concern after the car was clear of my front end was the curb. All in all, I’m really happy with how things turned out, and I think anyone could be a critic of how I handled it. I only had a split second to really make a decision, and thankfully, any damage was avoided.

It is clear FSD managed to avoid the car coming down before I was able to. I truly credit FSD for avoiding the collision.

What Needs to Improve

Better Recognition of Potholes, Uneven Roads, Sharp Changes in Roadway/Bumps

On Friday, my Fianceè and I were in the car, and FSD was driving us. We crossed over a roadway that has a traffic light, and FSD was traveling at 40 MPH on Standard, 5 MPH over the speed limit. Everything was more than reasonable.

However, the road we were crossing at the light has a major bump both as you start and finish crossing it. Without a speed reduction, your car can go airborne. The Tesla did just this on Friday on v14.3.6; it was an uncomfortable bounce that pretty much confirmed I would not ever let FSD go over again unless we were sitting at that intersection when there is a red light.

I even tried scrolling down into Sloth quickly, but I ended up just taking over:

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A few people have said it remains related to the vision-based approach and its difficulty comprehending 3D. This is a huge issue because this can cause serious damage at certain speeds.

Navigation

Nothing new here. I still turn off “Online Routing” quite frequently to get the car to take logical routes from time to time.

Auto Wipers

Auto Wipers are just plain bad. I really hope Tesla just uses a rain sensor. I thought they had improved at one point, but I still get dry wipes, Speed 4 on a drizzle, and Speed 2 on a steady rain. In reality, these should be switched.

You can watch our full review of Tesla Full Self-Driving v14.3.7 below:

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Elon Musk

SpaceX’s biggest test yet arrives this week and it’s not a rocket launch

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SpaceX will report second quarter results after the market closes on Tuesday, August 4, marking the first time the company has opened its books to the public since its record IPO in June. Management will host a live audio only webcast at 4:30 p.m. ET, streamed on X, with no dial in option.

The debut carries more weight than a typical first quarter as a public company. Two trading days after the release, on August 6, the first tranche of SpaceX’s lockup expires, freeing roughly 911.5 million insider and employee shares, worth well over $100 billion at current prices and the largest such release in Wall Street history. A second, larger tranche tied to the stock trading 30 percent above its $135 IPO price never triggered, since shares have spent most of July trading below that price.

Wall Street’s models point to revenue near $6.9 billion for the quarter, up sharply from the $4.69 billion SpaceX reported in the first quarter, with a narrower per share loss than the $1.27 posted three months earlier, according to estimates compiled by Motley Fool. Those numbers will be the first look at how SpaceX’s three segments, Starlink, launch and AI, are performing independently.

SpaceX scores another massive Pentagon deal to support military satellites

Investors heading into the call have a specific list of questions. How many net new Starlink subscribers did SpaceX add after ending March with 10.3 million, and is average revenue per user holding up as the service expands into lower income markets. How much of the AI segment’s revenue reflects contract signings with Anthropic, Google and Reflection AI this year, deals that combined could annualize to nearly $28 billion if fully ramped. Whether capital expenditures, which nearly doubled in the AI segment alone between 2024 and 2025, are still accelerating or starting to plateau. And whether management offers any forward guidance at all, something SpaceX has never done publicly.

The report will also land days after Elon Musk publicly denied a Wall Street Journal report describing internal planning to separate Tesla’s China business ahead of a potential Tesla-SpaceX merger. Whether Musk or SpaceX executives address that speculation on the call, even indirectly, maybe something investors will be listening for on Tuesday.

As Teslarati reported after Musk’s own warning to short sellers last week, the CEO has made clear he expects skeptics to be proven wrong over time. Tuesday will be the first chance for the numbers themselves to make that case.

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