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ADAS safeguards are lacking across auto brands: IIHS

Credit: Ford

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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.”

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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.”

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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.

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System Tested Vehicle Overall Rating
 

Lexus Teammate with Advanced Drive

 

2022-2024 Lexus LS

 

Acceptable

 
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GM Super Cruise

 

2023-2024 GMC Sierra

 

Marginal

 

Nissan ProPILOT Assist with Navi-Link

 
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2023-2024 Nissan Ariya

 

Marginal

 

BMW Active Driving Assistant Pro

 

2023-2024 BMW X1

 
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Poor

 

Ford BlueCruise

 

2021-2024 Ford Mustang Mach-E

 

Poor

 
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Ford Adaptive Cruise Control with Stop & Go and Lane Centering Assist

 

2021-2024 Ford Mustang Mach-E

 

Poor

 

Genesis Highway Driving Assist 2

 
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2023-2024 Genesis G90

 

Poor

 

Genesis Smart Cruise Control/Lane Following Assist

 

2023-2024 Genesis G90

 
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Poor

 

Lexus Dynamic Radar Cruise Control with Lane Tracing Assist

 

2022-2024 Lexus LS

 

Poor

 
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Mercedes-Benz Active Distance Assist DISTRONIC with Active Steering Assist

 

2022-2023 Mercedes-Benz C-Class

 

Poor

 

Nissan ProPILOT Assist 2.0

 
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2023-2024 Nissan Ariya

 

Poor

 

Tesla Autopilot version 2023.7.10

 

2021-2023 Tesla Model 3

 
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Poor

 

Tesla Full Self-Driving beta version 2023.7.10

 

2021-2023 Tesla Model 3

 

Poor

 
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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.

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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.

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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Elon Musk

Tesla finally clarifies fatal Texas crash, confirms driver manually overrode acceleration

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Credit: CNBC

Tesla has finally clarified the situation regarding the viral crash in Texas where a Model 3 slammed into a home.

CEO Elon Musk replied to reports on Monday that stated the crash was due to the company’s Full Self-Driving or Autopilot suite, which seemed unlikely to those who are familiar with it. Video showed the car slamming into a house at an excessive rate of speed, making it highly unlikely the crash was due to the suite’s operation, as it does not travel at those speeds in residential areas.

Musk said:

“This makes no sense. FSD drives slowly through neighborhood streets, and this was a high-speed crash!”

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Tesla’s Head of AI, Ashok Elluswamy, added context, revealing that the company’s data shows the driver “manually overrode self-driving by pressing the accelerator all the way to 100%.”

He revealed the speed reached by the car was 73 MPH, and the accelerator was still pressed “even after the crash.”

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Authorities are reportedly investigating “whether Tesla’s Autopilot system played a role after a Model 3 left the roadway…slammed through a brick house at high speed and fatally struck Matha Avila as she sat inside,” the New York Post reported.

The National Highway Traffic Safety Administration (NHTSA) is now investigating the crash. Tesla will work with the agency to provide them with whatever information they need in order to clarify the cause of the crash.

Similarly, Tesla had claims of a fatal accident in Harris County, Texas, a few years ago. Early reports indicated that Full Self-Driving was the cause of the crash. After the National Transportation Safety Board (NTSB) worked with Tesla, the agency proved there was “no use of the Autopilot system at any time during this ownership period of the vehicle, including the time frame up to the last transmitted timestamp on April 17, 2021.”

Tesla alleged “driverless” crash in Texas: What is known so far

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“Application of the accelerator pedal was found to be as high as 98.8 percent,” the NTSB said in their findings. The highest recorded speed in the five seconds leading up to the impact was 67 miles per hour. The area where the crash occurred is residential, and Texas State laws have default speed limits of 30 MPH in residential streets.

This appears to be a similar situation. However, an investigation will prove what happened for sure.

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Investor's Corner

SpaceX makes $20 billion move to optimize its balance sheet

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Credit: SpaceX

SpaceX announced today that it commenced its first-ever public bond offering, marking a significant step in the newly public company’s capital markets strategy.

The company announced an offering of senior unsecured notes expected to raise at least $20 billion.

The move comes just a short time after SpaceX completed one of the largest initial public offerings in history. In mid-June, the company priced shares at $135 and raised more than $85 billion, propelling founder Elon Musk’s net worth past the trillion-dollar mark and giving the firm substantial liquidity.

According to the company’s SEC filing, the net proceeds from the notes will be used primarily to repay in full the outstanding borrowings under its existing bridge loan facility, cover related fees and expenses, and fund general corporate purposes. The offering is being conducted under Rule 144A, as well as Regulation S, targeting qualified institutional buyers and non-U.S. investors. Notes will be unsecured obligations ranking equally with other unsubordinated debt.

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The $20 billion bridge loan was used to refinance approximately $17.5 billion in higher-cost “junk” debt tied to X and xAI. SpaceX had merged with xAI in February 2026 in an all-stock deal. The bridge facility, which matures in September 2027, had represented the bulk of SpaceX’s long-term debt.

SpaceX officially acquires xAI, merging rockets with AI expertise

In connection with the bond launch, SpaceX disclosed it held approximately $100.8 billion in cash and cash equivalents as of June 19. Investor calls began on the announcement date, with pricing and launch expected shortly thereafter. Rating agencies have assigned investment-grade ratings to the proposed bonds, reflecting confidence in SpaceX’s dominant position in commercial launches and the growth trajectory of its Starlink internet offering.

The debt raise also allows SpaceX to optimize its balance sheet by replacing short-term, higher-cost bridge financing with longer-date, lower-cost fixed-income securities. This provides greater financial flexibility to support capital-intensive initiatives, including the development of Starship, the expansion of the Starlink constellation, and the integration of AI capabilities following the xAI combination.

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SpaceX shares (NASDAQ: SPCX) fell sharply on the news, dropping over 16 percent overall on the market on Monday. The stock had surged initially after debuting but pulled back amid profit-taking and broader market dynamics.

Overall, the bond offering underscores SpaceX’s transition to a mature public company with access to diverse funding sources. It positions the firm to pursue its long-term vision of multiplanetary expansion and AI infrastructure, while maintaining a disciplined approach to its capital structure in a high-growth but capital-heavy industry.

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Elon Musk

SpaceX confirms third massive compute deal at Colossus data center

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Credit: xAI Memphis

SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Mississippi.

Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.

CNBC first reported the deal.

This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.

SpaceX has previously signed significant compute deals with other major players.

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It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.

Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.

SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.

SpaceX makes first acquisition post-IPO

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These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.

Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.

The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.

For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.

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