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Last updated: December 12, 2024

Auto Insurance for Self-Driving Cars

A guide to autonomous vehicles and the insurance landscape

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Scientists have predicted self-driving technology for almost as long as cars have existed. Today, as autonomous features become widespread, carmakers and consumers alike are excited about the possibilities. However, the new technology raises several important questions, including how it will fit into our current insurance framework.

This article provides context about the state of self-driving cars on the road and its impact on the insurance landscape. Are driverless vehicles cheaper to insure, or is an automated car a product liability?

The Impact of Automated Driving on Liability Insurance

Autonomous technology will have big consequences for both the insurance industry as a whole and individual plans, but its full impact remains to be seen.

Impact of automated driving on liability insurance

Modernizing the Regulatory Environment

The regulatory environment is still catching up with autonomous technology and insurance. Various levels of government, from federal to local, play a role in regulating self-driving cars. Thus far, the federal Department of Transportation (DoT) has not issued comprehensive rules for insuring an automated vehicle, but rather has imposed voluntary safety guidelines for car manufacturers.1 It’s possible that the DoT will release guidance for insurance providers as well, but that remains to be seen.

With this federal inaction, it has largely been up to individual states and municipalities to impose rules about insuring self-driving cars. According to the National Conference of State Legislatures, 29 states have enacted legislation related to autonomous vehicles so far.2 Insurance requirements vary widely by state: Some have no legislation, while others require consumers and testing companies to have umbrella liability.

For the most part, drivers whose cars utilize automation simply need to follow their state’s auto insurance requirements. This will change as regulations evolve and technology progresses, however.

Shifts in Underwriting

Underwriting is the way insurance companies evaluate their risk in offering coverage. Traditionally, providers take various factors into account, from an individual’s driving history to their location. Advances in self-driving vehicles may lead underwriters to focus more on the make and model of the car, as the technology becomes more important than the individual sitting in the driver’s seat. In the future, driverless car manufacturers may release a set of risk factors, based on extensive real-world testing, that provide underwriting criteria across all markets.

Redefining Fault: Claims and Liability

After an accident, insurance companies determine the actor at fault, which establishes liability. Self-driving cars turn this formula on its head. Some of the most interesting questions around autonomous technology center on liability.

Whose “fault” is it when there is an incident involving a self-driving vehicle? Current laws typically punish human drivers, but what about manufacturers, software developers, and sensor vendors? Are they to blame if a fully autonomous vehicle crashes, rather than the human passenger?

Insurance providers will need to answer these questions as self-driving technology progresses. Today’s autonomous vehicles still require human attention and intervention, meaning a person can still be held liable in the event of a malfunction that leads to an accident. But experts predict that vehicle and software manufacturers will be held liable in at-fault collisions in the future.

Time will tell how this space develops. Though autonomous safety features like collision warnings and emergency brakes promise to reduce accidents, liability coverage will still be necessary for when something goes wrong.

The Future of Car Accidents

What if you get into an accident with an autonomous vehicle? For now, treat it like a normal car accident — don’t leave the scene, document everything, exchange information with the other parties, and report it to your insurance company.

We can only speculate about how car accidents will look in the future. They may occur far less frequently thanks to removal of human error. When they occur, it’s possible that all the relevant information will be reported directly to both the vehicle manufacturer and the insurance company, simplifying the process for everybody involved.

Automation and Insurance Premiums

It’s still not clear how autonomous vehicles will impact insurance rates and premiums. Some predict that rates will go up, since the technology that enables automation (sensors, cameras, computers) is expensive to source and repair. But self-driving cars are also expected to lower accident rates, meaning there is less to fix.

These two factors (cost to repair and increased safety) may offset each other, causing rates to remain the same. The price of insuring a self-driving car is ultimately an open question. Today, your auto insurance cost will be the result of all the standard factors, such as mileage, location, and driving history.

Current Insurance Options for Self-Driving Cars

Even though we are still waiting for full automation and resulting guidance, most major insurance providers already offer coverage for cars with some level of driving assistance. Here a few companies that cover vehicles with assistive driving features:

  • Allstate
  • Nationwide
  • GEICO
  • Liberty Mutual
  • State Farm
  • Travelers

Tesla also offers its own insurance product, Tesla Real-Time Insurance, usage-based insurance (UBI) that bases premiums off safety scores, based on information about driving behaviors. As of August 2024, the UBI is not available in California. However, there is another Tesla insurance option available in California for vehicles produced by Tesla as well as other manufacturers3. Learn more about the  best auto insurance for Tesla.

TIP

If you own a car with autonomous safety features, it may be a good idea to call insurance providers for a quote, as you could qualify for a reduced rate.

How Do Self-Driving Cars Work?

Driving automation technology is extraordinarily complicated and still presents a challenge to researchers. At the base level, though, self-driving cars work by using an array of sensors to model their surroundings and make split-second decisions about how to respond.

How do self-driving cars work?

Sensors typically include lidar, GPS, lasers, and camera arrays that cover multiple surfaces of the car. Software then processes these inputs and constructs a 360-degree “view” of the environment around the vehicle.

Next, the computer plots a safe path and directs the car to follow it. This occurs multiple times per millisecond. The software must be impeccable at predicting movement and function in diverse conditions.

Brief History of Self-Driving Cars

For nearly as long as motorized vehicles have existed, researchers have dreamed of a car that could drive itself. As far back as 1925, an inventor drove a radio-controlled car through the streets of Manhattan without anybody at the steering wheel.

The technology behind modern driving automation, neural networks, was first theorized in the early 1990s. Various companies tried to develop the new technology, but Google is typically credited as a leader in self-driving technology with the formation of Waymo in the 2000s. After that, major car manufacturers jumped into the fray, and today the race is on to see which company will break through with truly autonomous technology.

Current State of Automation

There are various definitions of autonomous technology that impact what we mean when we talk about “self-driving” cars. Not every autonomous feature is available today.

Levels of Automation

The National Highway Traffic Safety Administration has defined six levels of automation based on a car’s ability to make decisions and act independently.

  • Level 0: The driver performs all tasks with no automation.
  • Level 1: The most basic level of automation, this tier includes warnings and partial driving assistance (think adaptive cruise control).
  • Level 2: When a car can control speed and steering on its own under certain circumstances, it falls into this category. This includes advanced driver-assistance systems (ADAS) like lane assist and automatic parallel parking.
  • Level 3: Conditional automation means that the car can perform tasks like steering, braking, and acceleration in certain situations, but a driver must be ready to take control at all times.
  • Level 4: The car can drive itself with no human intervention in certain conditions.
  • Level 5: This is full self-driving, meaning the vehicle can drive itself with no human required at all.4

Autonomous Features Available Now

Level 1 features are now widely available in consumer cars, including adaptive cruise control and land centering. Level 2 is the highest level of automation you can buy commercially. This includes well-known technology like Tesla Autopilot and Full Self-Driving (Supervised) and GMC Super Cruise that can control a car under certain conditions.

With Tesla’s newest addition, full self-driving, the vehicle can drive anywhere, changing lanes, parking, and finding you in a parking lot. However, this still requires driver supervision, making the feature not truly autonomous. Whether or not these features are on your Tesla differ by the model year, trim,and model. Models built after September 2014 have Autopilot.

GMS Super Cruise is similar and allows for supervised, hands-free driving. However, it requires an active OnStar Super Cruise plan, and will only work on compatible roads, which you can find here: https://www.gmc.com/connectivity-technology/super-cruise.5

DID YOU KNOW?

If you use adaptive cruise control, you already use self-driving technology, since your car is controlling acceleration.

Potential Benefits of Self-Driving Cars

Full driving automation has the potential to bring many benefits to consumers. Here are some examples.

  • Safety improvements: A computer cannot be distracted by a cell phone or drive under the influence. Besides removing human error from the equation, safety features like collision warnings and emergency braking could reduce accidents, making drivers and pedestrians safer.
  • Fuel efficiency: Self-driving cars can plot the most efficient routes and modulate their speeds based on factors like predicted wait times at stoplights. This means less gas will be wasted idling.
  • Traffic reduction: A fleet of self-driving cars could communicate with each other and reduce congestion on roadways.
  • Time savings: A self-driving car could not only be faster and more efficient, but also free up human time to focus on other things. Imagine catching up on emails while your car drives you to the office.

The Future of Self-Driving Cars

Currently, researchers are working on the technology to enable levels 3, 4, and 5 of automation. It’s not clear how much longer we have until full automation becomes available, let alone widespread.

When Will Full Automation Become Available?

Business leaders like Elon Musk have been predicting and even marketing Level 3 and higher cars for several years, claiming that the technology is just around the corner. A former U.S. secretary of transportation even said we’d have widespread autonomous cars by 2021,4 clearly an underestimate.

But some experts, including many in the insurance industry, think that full automation is still years away, as many practical and technical problems need to be solved first. Manufacturers will have to contend with these issues before truly autonomous cars can be accepted.

Obstacles to Full Driving Automation

What’s holding the car industry back from full driving automation?

Obstacles to full driving automation

Safety

This is a crucial consideration. Recognizing and distinguishing between objects remains a difficult task for computers. Researchers are continuing to improve the artificial intelligence that makes such decisions, but it still needs to be verified before it hits the road for consumers. After all, distinguishing between a cyclist and a parked car is a life-and-death decision for everybody involved.

Fatalities Involving Self-Driving Cars

The first known fatality involving a self-driving car occurred in 2016 with a Tesla in Florida. Since then, cars operated by computers have caused several deaths. Fatalities, and the difficulty determining fault for them, underline the moral challenges that accompany autonomous driving technology.

Hacking Risk

No computer is impervious to malicious cyberattacks. Given their reliance on computers, self-driving cars are more vulnerable to hacking than other vehicles.

This presents some frightening scenarios. What happens if malicious actors decide to shut off a car’s brakes, for example? Self-driving cars must include robust cybersecurity.

Public Perception

Consumers will have to buy into any shift in technology. Public perception of self-driving cars is mixed: Some drivers can’t wait to have their car drive them everywhere, while others fear giving up control. A 2021 Pew Research survey found that 44 percent of U.S. adults think that widespread use of driverless cars would be a bad idea for society. 29 percent were not sure, and only 26 percent thought it was a good idea7. This may be a limiting factor in adoption of fully autonomous vehicles.

Recap

If you’re confused about the state of self-driving cars, you’re not alone. The technology is complex, and so are the questions it raises. But for now, if you buy a car with autonomous features, you can rest assured that you will find an insurance plan to cover your needs. As the technology develops, so will the industry, and you will adapt alongside everybody else.

FAQs

How do self-driving cars work?

Self-driving cars work by using an array of sensors to model their surroundings and make split-second decisions about how to respond. This may sound simple, but it’s extremely complex, and the technology has not yet achieved true autonomy.

When will self-driving cars become widespread?

Fully autonomous cars will likely become widespread sometime in the next decade, but experts disagree on exactly when. Cars with some level of automation are available for purchase today and increasingly common.

Who is liable in an accident with a self-driving car?

Experts expect that software and vehicle manufacturers will be liable for at-fault collisions that self-driving cars cause. However, regulations are still being determined, and it’s possible that human occupants or owners will be held liable as well.

Do I need auto insurance for self-driving cars?

Yes, you need insurance for self-driving cars. All vehicles need insurance in every state except New Hampshire and Virginia, and autonomous cars are no exception. Insurance is necessary to cover all parties in the event of an accident.

Is insurance more expensive for self-driving cars?

It’s not yet clear whether insurance will be more expensive for self-driving cars. Some pricey cars, like Teslas, are more expensive than average to insure, but once automation becomes more advanced, drivers may see lower premiums as a result of improved safety and collision rates.

Jonathan Bloom
Written by:Jonathan Bloom
Staff Writer
Jonathan Bloom is a writer at AutoInsurance.com. Before joining AIC, he worked at the SEO company Conductor as a customer insights manager. He is a graduate of the BT Global Services Business Development and Client Services Program as well as the University of Pennsylvania, where he graduated summa cum laude. Aside from writing and analyzing auto insurance-related data, Jonathan is earning his Master of Science in Design & Urban Ecologies at The New School at Parsons School of Design.

Citations

  1. USDOT Automated Vehicles Activities. U.S. Department of Transportation. (2021, Jan 19).
    https://www.transportation.gov/AV

  2. Autonomous Vehicles – Self-Driving Vehicles Enacted Legislation. National Conference of State Legislatures. (2020, Feb 18).
    https://www.ncsl.org/research/transportation/autonomous-vehicles-self-driving-vehicles-enacted-legislation.aspx

  3. Tesla Insurance in California. Tesla. (2024).
    https://www.tesla.com/support/insurance/california

  4. Automated Vehicles for Safety. National Highway Traffic Safety Administration. (2022).
    https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety

  5. What is Super Cruise?. GMC. (2024).
    https://www.gmc.com/connectivity-technology/super-cruise

  6. Why we’re still years away from having self-driving cars. Vox. (2020, Sep 25).
    https://www.vox.com/recode/2020/9/25/21456421/why-self-driving-cars-autonomous-still-years-away

  7. Americans cautious about the deployment of driverless cars. Pew Research Center. (2022, Mar 17).
    https://www.pewresearch.org/internet/2022/03/17/americans-cautious-about-the-deployment-of-driverless-cars/