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Tesla Autopilot is now a ‘distant 2nd’ to GM Super Cruise: Consumer Reports
Tesla’s Autopilot may have the best performance, capabilities, and ease of use in Consumer Reports’ recent ranking of active driving assistance systems, but it remains “a distant second” to GM’s Super Cruise nonetheless. This was according to the testing organization on Wednesday.
The results echo Consumer Reports’ findings in its first-ever ranking of active driving assistance systems back in 2018, which also ended with GM Super Cruise taking the top spot and Tesla Autopilot taking second place. This time around, the testing organization tested 17 systems from various carmakers, as opposed to the four that were evaluated in 2018. Needless to say, the results were quite interesting.
Each of the active driving assistance systems in this year’s test was evaluated under the following metrics: Capability and Performance, Keeping the Driver Engaged, Ease of Use, Clear When Safe to Use, and Unresponsive Driver. Tesla’s Autopilot aced two of these metrics, specifically Capability and Performance as well as Ease of Use. Autopilot earned an impressive score of 9/10 in Capabilities and Performance and a 7/10 for Ease of Use.
According to Consumer Reports, Autopilot performed the best among the 17 systems it tested in its lane-keeping assist tests. Autopilot was also deemed the best when it comes to how easy it is to use. Kelly Funkhouser, CR’s head of connected and automated vehicle testing, noted that systems that score well in Ease of Use usually require non-complex input from drivers. “One of the last things you want in a system that is supposed to assist the driver is to make things overly complicated,” Funkhouser said.
Unfortunately for Tesla, Autopilot was rated poorly by Consumer Reports when it came to the Keeping the Driver Engaged metric. For this metric, Tesla’s driver-assist system earned a paltry 3/10 score due to Autopilot’s alleged lack of driver monitoring systems. In contrast, GM’s Super Cruise, the highest-ranking system in this metric with a 7/10 score, was praised for its camera-based driver monitoring system that uses eye-tracking technology.
Super Cruise was also the top-ranked system with an 8/10 score in the Clear When Safe to Use metric, since the system could only be used on areas where the driver-assist suite could perform safely. “Cadillac stood out in this category because Super Cruise can be used only on pre-mapped, divided highways. Plus, Super Cruise will even warn the driver in advance when there is an upcoming lane-merge or complex situation that requires extra attention.,” Consumer Reports noted.
Tesla Autopilot earned a 2/10 score in Clear When Safe to Use, due to the system being accessible in areas that are not low-risk. “Active driving assistance systems should only be able to be activated in low-risk driving environments, void of pedestrians and tricky situations, such as intersections and complicated traffic patterns,” Funkhouser said.
Tesla Autopilot earned a 6/10 score for Consumer Reports’ Unresponsive Driver metric. This metric, as noted by the testing organization, evaluates systems based on their capability to operate vehicles safely in the event that the driver falls asleep or encounters a medical emergency. Systems were evaluated based on their escalation process for warnings, steering control, and speed control.
Overall, GM Super Cruise earned a total score of 69 from the testing organization, while Tesla Autopilot earned a total score of 57. Following closely was Ford Co-Pilot 360 at 52 and Audi Pre Sense at 48. Funkhouser, for her part, noted that Super Cruise’s driver monitoring system remains a difference-maker. “Even with new systems from many different automakers, Super Cruise still comes out on top due to the infrared camera ensuring the driver’s eyes are looking toward the roadway,” the head of connected and automated vehicle testing said.
Consumer Reports’ discussion of its recent active driving assistance suite rankings could be accessed here.
Just hours after Starship Flight 13 achieved a successful soft splashdown of its upper stage in the Indian Ocean on July 24, Elon Musk announced an ambitious next step for the company’s next launch of the rocket.
“Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on [the] next flight,” the SpaceX CEO posted on X on Friday.
That “next flight” is expected to be Flight 14. The plan involves returning the Starship upper stage, commonly called the “ship,” to the Starbase launch tower in Texas and catching it mid-air using the same mechanical “chopsticks” arms that have already proven themselves with the Super Heavy booster.
Unless we discover problems after mission data review, SpaceX will attempt to catch the ship with the tower on next flight
— Elon Musk (@elonmusk) July 25, 2026
A successful catch would mark the first time an orbital-class upper stage has been recovered this way, advancing SpaceX’s goal of full and rapid reusability for the entire vehicle.
SpaceX has already demonstrated the tower-catch technique multiple times with Super Heavy. The first successful catch came on Flight 5 in October 2024, when Booster 12 was plucked from the sky by the Mechazilla arms. Subsequent flights, including those involving Boosters 14 and 15, repeated the feat. Several of those recovered boosters were later inspected, refurbished, and flown again, proving the system’s viability for quick turnaround.
Traditional reusable rockets, such as SpaceX’s own Falcon 9 or Blue Origin’s New Shepard, land on legs either on land or droneships. Rocket Lab has recovered its small Electron first stages by helicopter, but those are far lighter vehicles.
SpaceX Starship just nailed something it’s never done before
The China Academy of Launch Vehicle Technology (CALT), a subsidiary of the China Aerospace Science and Technology Corp. (CASC), completed a catch of its booster on July 10. They are the only entity besides SpaceX to attempt and complete the feat.
Flight 13 provided encouraging data. The ship executed a controlled reentry, flipped, and soft-landed intact in the ocean after deploying Starlink satellites, offering the first clear post-splashdown views of an undamaged heat shield. The Super Heavy booster, meanwhile, experienced a harder splashdown in the Gulf of Mexico.
Musk has previously stressed that ship catches would only follow multiple successful soft ocean landings to minimize risk of debris over land.
If Flight 14 succeeds, SpaceX would take a major stride toward routine, rapid reuse of both stages—critical for lowering launch costs and supporting ambitious plans for lunar and Mars missions. For now, teams are reviewing the Flight 13 data. Should everything check out, the next Starship flight could deliver one of the most spectacular recoveries in aerospace history.
In a move echoing its earlier commitment to open innovation, Tesla CEO Elon Musk announced recently that the company plans to make the design and software of its Model S and Model X fully open source.
This follows the same approach Tesla took with its original Roadster, releasing all available design, engineering, and diagnostic materials in November 2023 so that “whatever we have, you now have.”
Just as Tesla made the original Roadster design & software open source, we plan to do the same with Model S & X
— Elon Musk (@elonmusk) July 24, 2026
The Model S, introduced in 2012, was Tesla’s first mass-produced vehicle and a groundbreaking luxury electric sedan. It offered impressive range, rapid acceleration, and over-the-air software updates that redefined expectations for electric cars.
The Model X, launched in 2015, built on that foundation as a high-performance electric SUV notable for its distinctive falcon-wing doors, spacious interior, and advanced safety features. Both models served as flagships that helped establish Tesla as a leader in the EV industry and popularized long-range battery-electric vehicles.
Production of the Model S and Model X was wound down earlier in 2026, with manufacturing ending in the second quarter. Tesla redirected the Fremont factory space previously used for these vehicles toward higher-priority projects, including Optimus humanoid robots and the Cybercab autonomous vehicle.
By the time of Musk’s open-source announcement, custom orders had closed and only remaining inventory was available.
Open-sourcing the designs and software offers several clear advantages. Owners of these aging but still capable vehicles gain better access to technical documentation, diagnostic tools, and software resources, making independent repairs and modifications easier and more affordable.
Independent repair shops and third-party specialists can support the large existing fleet without relying solely on Tesla’s service network. Enthusiasts and engineers can study real-world implementations of Tesla’s battery, powertrain, and software systems, potentially accelerating broader industry progress in electric mobility.
The step aligns with Tesla’s 2014 patent pledge and its overall mission to advance sustainable transport by sharing hard-won knowledge rather than locking it behind proprietary walls.
By releasing these materials now that the models have left production, Tesla ensures continued support for its early adopters while freeing internal resources for future technologies. The open-source release of the original Roadster already enabled simulations, community projects, and deeper technical understanding.
Extending that practice to the Model S and Model X should deliver similar benefits on a larger scale, helping keep these influential vehicles relevant and repairable for years to come
Tesla flexed one incredible Robotaxi metric during the Q2 Earnings Call that skeptics have to hate to hear. The company’s platform has already driven more than 380,000 miles of unsupervised ride-hailing across several states with no notable incidents.
During the company’s Q2 Earnings Call on Wednesday, Vice President of AI, Ashok Elluswamy, said:
“First of all, I’d like to state that the Robotaxi program has been operating extremely well. Especially in terms of safety, the program has had an impeccable safety record. We have driven more than 380,000 miles of unsupervised Robotaxi, now across six cities in two different states. We have had zero notable incidents. Any reports have been of other actors impacting us when we were stationary. I like to emphasize how safe the operation has been so far. Zero notable incidents over 380,000 miles.”
Elluswamy’s claim over Robotaxi miles is a significant milestone for Tesla in the grand scheme, especially considering this is a sizeable number of miles without any incident.
0 notable incidents across over 380,000 miles traveled by Robotaxi
— Tesla (@Tesla) July 22, 2026
Tesla’s self-driving approach is much different than that of other companies. Tesla has maintained that vision is the only thing needed to have a solid and effective self-driving suite. Many self-driving companies utilize things like LiDAR, sensors, and other elements to improve performance, but Elluswamy sent a jab at those who believe it’s needed.
“Historically, the so-called experts have always claimed that you need LiDARs, radars, HD maps, and the entire kitchen sink to drive safely. Here we show that such is not true. You can have safe, comfortable, and affordable autonomy with just cameras. This record should be a huge validation of Tesla’s entire AI approach.”
The feat of accumulating this many miles without any driver behind the wheel is impressive. The thing is, Tesla is also doing this across several different locations, with varying traffic rules, pedestrian levels, weather patterns, and other important factors.
While Tesla is not ready to roll out an unsupervised platform completely, it is a slow but steady indication that the company is well on its way to figuring things out.
The company’s attitude toward expansion is slow, safe, and controlled, and despite this huge milestone, it will still be some time until we see Tesla truly unleash unsupervised rides more aggressively.
SpaceX wants to catch Starship for launch 14, Elon Musk says
Tesla to open source Model S and Model X designs and software
