The Insurance Institute for Highway Safety (IIHS) has released a study showing that Advanced Driver Assistance System (ADAS) safeguards are lacking across brands, with most of the 14 partially automated systems tested receiving “marginal” or “poor” ratings.
In a press release shared on Tuesday, the IIHS released early results from the new ratings system, noting that partial automation systems from Tesla, Ford, Nissan, and most other automakers that were tested were lacking in multiple categories. The study offered ratings of good, acceptable, marginal or poor, both overall and in specific categories.
Level 2 systems like Tesla Autopilot can improve drivers’ attentiveness: IIHS study
“We evaluated partial automation systems from BMW, Ford, General Motors, Genesis, Lexus, Mercedes-Benz, Nissan, Tesla and Volvo,” said David Harkey, IIHS President. “Most of them don’t include adequate measures to prevent misuse and keep drivers from losing focus on what’s happening on the road.”
Of the 14 partially automated systems tested thus far, only one system from any automaker was deemed acceptable, while two were rated marginal, 11 were rated poor, and none were rated good. The categories that were individually rated for each system included driver monitoring, attention reminders, emergency procedures, lane change, adaptive cruise control (ACC) resume, cooperative steering, and safety features.
The IIHS gave both Tesla’s Autopilot and Full Self-Driving (FSD) beta systems poor ratings overall, while Volvo Pilot Assist, Nissan ProPilot, Mercedes Active Distance Assist Distronic, Ford BlueCruise and several others were rated poor. Driver monitoring and attention reminders were some of the lower-rated categories across most brands, highlighting the ability for drivers to trick systems into thinking they’re being fully aware.
The research non-profit also noted that there was “little” evidence to support that partially automated systems like these are actually at the point that they currently make driving safer—though most companies target safety as a number one goal with ADAS programs.
“Some drivers may feel that partial automation makes long drives easier, but there is little evidence it makes driving safer,” Harkey said. “As many high-profile crashes have illustrated, it can introduce new risks when systems lack the appropriate safeguards.”
The top-rated systems in the index included Lexus Teammate with Advanced Drive with an acceptable rating, along with the GM Super Cruise and Nissan ProPilot Assist with Navi-Link. Every other system was rated poor overall.
You can see the full category breakdowns from tests of Tesla’s Autopilot and FSD beta systems from the IIHS below, along with those of a few others.
Credit: IIHS Credit: IIHS Credit: IIHS Credit: IIHS Credit: IIHS




“These results are worrying, considering how quickly vehicles with these partial automation systems are hitting our roadways,” Harkey added.
“But there’s a silver lining if you look at the performance of the group as a whole. No single system did well across the board, but in each category at least one system performed well. That means the fixes are readily available and, in some cases, may be accomplished with nothing more than a simple software update.”
Below you can see overall ratings for each system tested.
| System Tested | Vehicle | Overall Rating |
|---|---|---|
|
Lexus Teammate with Advanced Drive |
2022-2024 Lexus LS |
Acceptable |
|
GM Super Cruise |
2023-2024 GMC Sierra |
Marginal |
|
Nissan ProPILOT Assist with Navi-Link |
2023-2024 Nissan Ariya |
Marginal |
|
BMW Active Driving Assistant Pro |
2023-2024 BMW X1 |
Poor |
|
Ford BlueCruise |
2021-2024 Ford Mustang Mach-E |
Poor |
|
Ford Adaptive Cruise Control with Stop & Go and Lane Centering Assist |
2021-2024 Ford Mustang Mach-E |
Poor |
|
Genesis Highway Driving Assist 2 |
2023-2024 Genesis G90 |
Poor |
|
Genesis Smart Cruise Control/Lane Following Assist |
2023-2024 Genesis G90 |
Poor |
|
Lexus Dynamic Radar Cruise Control with Lane Tracing Assist |
2022-2024 Lexus LS |
Poor |
|
Mercedes-Benz Active Distance Assist DISTRONIC with Active Steering Assist |
2022-2023 Mercedes-Benz C-Class |
Poor |
|
Nissan ProPILOT Assist 2.0 |
2023-2024 Nissan Ariya |
Poor |
|
Tesla Autopilot version 2023.7.10 |
2021-2023 Tesla Model 3 |
Poor |
|
Tesla Full Self-Driving beta version 2023.7.10 |
2021-2023 Tesla Model 3 |
Poor |
|
Volvo Pilot Assist |
2022-2024 Volvo S90 |
Poor |
You can view the full list of rankings with individual category rankings from the IIHS here, or view the institute’s test protocol and rating guidelines here. Additionally, see the institute’s press release detailing the rating system’s early results here.
What are your thoughts? Let me know at zach@teslarati.com, find me on X at @zacharyvisconti, or send your tips to us at tips@teslarati.com.
Elon Musk
Tesla AI boss reveals how big Optimus is going to get
Tesla’s Optimus chief corrected himself on X, confirming a staggering 10 million robot production target.
Tesla’s Optimus program has a new number attached to it, after Ashok Elluswamy, the executive who has run the humanoid robot program since June 2025, posted a three word correction on X Thursday, “Correction, 10 million robots.”
The line clarifies the long term annual capacity Tesla is building toward its planned second Optimus production line at Gigafactory Texas, a figure Musk has cited repeatedly since last year’s shareholder meeting.
The scale is worth noting, because ten million robots a year would mean Tesla building more units annually than most countries sell in new cars. Tesla has framed this as a second line, not the first. The buildout is happening in two phases: a roughly one million unit per year line inside Tesla’s Fremont factory, installed on the floor space vacated when Model S and Model X production ended earlier this year, and a much larger dedicated facility under construction at Giga Texas that broke ground on its first steel structure in May. That Texas facility is the one Elluswamy’s correction refers to, and is expected to reach volume production sometime in 2027.
Correction, 10 million robots https://t.co/0z4nyQNTzp
— Ashok Elluswamy (@aelluswamy) July 30, 2026
Tesla Optimus project fires up as Musk sees production line progress
Elluswamy took over Optimus from Milan Kovac last summer and has spent the months since talking up the program’s trajectory. Elon Musk has also floated the ten million figure at Tesla’s 2025 shareholder meeting.
Ending Model S and Model X production to make room for the first Optimus line was one of the more consequential manufacturing decisions in the company’s recent history, retiring two flagship vehicles in favor of a robot that has yet to enter mass production. Musk has previously estimated per unit production costs at $20,000 to $25,000 once Tesla reaches a million units a year, though he hasn’t said what that cost looks like at ten times the volume.
News
Autonomous vehicle red tape gets slashed by Trump Administration
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
Elon Musk has a crazy prediction about AI in two years
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.

