GM’s Data Sharing Sparks Insurance Rate Surges

General Motors vehicle owners have encountered surprising increases in their auto insurance premiums, largely due to the company’s practice of sharing detailed driving data with insurance providers. This issue, highlighted in investigative reporting, reveals how connected car technologies intended for safety and convenience inadvertently funneled personal behavioral data into rate calculations, often without clear owner awareness or consent.

The Rise of Connected Vehicles and Data Collection

Modern automobiles from major manufacturers like General Motors are equipped with advanced telematics systems, such as OnStar, which track a wide array of driver behaviors including speed, braking patterns, acceleration, and even location data. These features were marketed primarily for emergency assistance, navigation, and vehicle diagnostics, but they also generate vast amounts of real-time data.

GM’s platforms, including apps like myChevrolet, myGMC, and myBuick, automatically collect this information from vehicles equipped with OnStar modules. Unlike traditional plug-in devices used by some insurers for usage-based insurance (UBI) programs, which require explicit opt-in, GM’s system activates by default upon vehicle purchase or subscription activation. Owners often remain unaware that this data is being aggregated and potentially shared externally.

• Key Data Points Collected: Hard braking events, rapid acceleration, mileage driven, time of day for trips, and geographic locations.
• Default Activation: No initial prompt for consent; buried in fine print of terms of service.
• Volume Scale: Millions of vehicles contributing data continuously.

This seamless integration promises enhanced safety through features like automatic crash response, but it blurs the line between service provision and commercial data exploitation.

How Driving Data Influences Insurance Premiums

Insurance companies have long sought granular data to refine risk assessments. GM partnered with data brokers like LexisNexis, allowing them access to anonymized (but often re-identifiable) driving records from GM owners. Insurers then use this to adjust premiums, sometimes dramatically increasing rates for those flagged as higher-risk drivers based on telematics scores.

For instance, a driver with frequent hard brakes might receive a low ‘safe driving score,’ leading to hikes of hundreds of dollars annually. Reports indicate some owners saw premiums jump by 30-60% without explanation, only discovering the cause through persistent inquiries with their providers.

While safer drivers might benefit from discounts, the lack of transparency means many feel ambushed, especially since GM promoted OnStar as a safety net rather than a surveillance tool.

Legal Backlash: Lawsuits Pile Up Against GM

The fallout has triggered a wave of litigation. In February 2025, Arkansas Attorney General Tim Griffin filed a lawsuit against GM and OnStar, accusing them of deceptive practices. The suit claims GM profited by selling data without proper disclosure, enabling insurers to raise rates or deny coverage. It seeks compensation for affected residents and an injunction to stop the practice.

Texas followed in August 2024 with its own action, alleging GM sold data from over 1.5 million vehicles belonging to state residents. Additionally, 27 class-action suits have consolidated into multi-district litigation, arguing that non-consenting owners suffered financial harm from inflated premiums.

GM’s response has been defensive: a spokesperson affirmed commitment to privacy but denied wrongdoing. In a prior settlement with another state, GM agreed to a five-year moratorium on selling geolocation or driving behavior data and to implement clearer consent mechanisms.

• Arkansas Suit: Focuses on consumer deception and unjust profits.
• Texas Case: Targets data sales from 1.5M+ vehicles; ongoing.
• Class Actions: 27 cases merged; allege direct premium harm.

Broader Industry Trends in Data Monetization

GM is not isolated in this controversy. The automotive sector’s shift toward software-defined vehicles has opened new revenue streams via subscriptions and data. GM projects that by 2030, 30 million connected vehicles will generate $20-25 billion annually, much from in-car services locked behind paywalls—up to $135 monthly per vehicle.

However, consumer resistance is strong: surveys show 75% oppose subscriptions for pre-installed features like heated seats or remote start. This tension mirrors privacy battles elsewhere, such as Texas’ suit against Allstate’s Arity for smartphone data collection without notice.

Electric vehicles (EVs) exacerbate insurance challenges, costing 49% more to insure than gas cars—averaging $4,058 yearly—due to repair costs and data-rich profiles.

Consumer Impacts and Real-World Stories

Owners report shock upon learning their GM vehicles were the source of premium spikes. One driver, after a 40% hike, traced it to LexisNexis data sourced from OnStar, despite a clean record. Others faced denial of preferred policies, forcing them to higher-cost alternatives.

Financial strain is acute for families, where even modest increases compound with rising vehicle prices. GAP insurance, which covers shortfalls between loan balances and vehicle value, becomes even more critical amid these uncertainties, though it’s an extra cost many overlook.

Protecting Your Privacy in the Connected Car Era

Buyers can take steps to mitigate risks:

• Review App Permissions: Opt out of data sharing in myBrand apps where possible.
• Disable Telematics: Contact OnStar to deactivate non-essential tracking (may limit features).
• Shop Insurers Wisely: Ask about data sources used for quotes.
• Monitor Statements: Challenge unexplained rate changes promptly.
• Consider Alternatives: Brands with transparent data policies or non-connected options.

Legislative pushes for federal privacy standards in vehicles are gaining traction, potentially mandating opt-in consent and data sale bans.

The Future of Automotive Data and Insurance

As cars evolve into rolling computers, balancing innovation with privacy will define trust. GM’s saga underscores the perils of opaque data practices, pushing the industry toward ethical monetization. Insurers may pivot to voluntary UBI programs, while automakers refine consent flows to rebuild confidence.

Owners should stay vigilant, as connected tech proliferates. Informed purchasing—questioning subscriptions and data terms—empowers consumers in this data-driven landscape.

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