The settlement announcement from Bonta’s office similarly alleges that GM sold “the names, contact information, geolocation data, and driving behavior data of hundreds of thousands of Californians” to Verisk Analytics and LexisNexis Risk Solutions, which are both data brokers. Bonta’s office further alleges that this data was collected through GM’s OnStar program, and that the company made roughly $20 million from data sales. However, Bonta’s office also said the data did not lead to increased insurance prices in California, “likely because under California’s insurance laws, insurers are prohibited from using driving data to set insurance rates.”. TechCrunch is the main source layer for now, and the rest should be read as a signal that is still widening. On the device side, the useful angle is whether a technical change actually alters feel, lifespan, or upgrade cost in real use.
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The settlement announcement from Bonta’s office similarly alleges that GM sold “the names, contact information, geolocation data, and driving behavior data of hundreds of thousands of Californians” to Verisk Analytics and LexisNexis Risk Solutions, which are both data brokers. TechCrunch form the main source layer behind the core facts in this piece.
Where the sources line up
TechCrunch is the main source layer for now, and the rest should be read as a signal that is still widening. Bonta’s office further alleges that this data was collected through GM’s OnStar program, and that the company made roughly $20 million from data sales. TechCrunch form the main source layer behind the core facts in this piece.
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Patrick Tech Store Open the AI plans, tools, and software currently getting the push Jump straight into the store to see what Patrick Tech is pushing right now.The details worth keeping
However, Bonta’s office also said the data did not lead to increased insurance prices in California, “likely because under California’s insurance laws, insurers are prohibited from using driving data to set insurance rates. On the device side, the useful angle is whether a technical change actually alters feel, lifespan, or upgrade cost in real use.
Why this matters most
The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled. With 1 source layers on the table, the part worth reading most closely is where firm facts meet the market's early reaction. As part of the settlement, GM has agreed to pay $12. 75 million in civil penalties and to stop selling driving data to any consumer reporting agencies for five years, Bonta’s office said.
What to watch next
The next readout is price, device coverage, and whether the change feels real once the hardware reaches users. Patrick Tech Media will keep checking rollout speed, user reaction, and how TechCrunch update the next pieces. From 1 early signals, the piece keeps 1 references that are useful for locking the main details in place.
Context Worth Keeping
The settlement announcement from Bonta’s office similarly alleges that GM sold “the names, contact information, geolocation data, and driving behavior data of hundreds of thousands of Californians” to Verisk Analytics and LexisNexis Risk Solutions, which are both data brokers. Bonta’s office further alleges that this data was collected through GM’s OnStar program, and that the company made roughly $20 million from data sales. However, Bonta’s office also said the data did not lead to increased insurance prices in California, “likely because under California’s insurance laws, insurers are prohibited from using driving data to set insurance rates. TechCrunch is the main source layer for now, and the rest should be read as a signal that is still widening. On the device side, the useful angle is whether a technical change actually alters feel, lifespan, or upgrade cost in real use. With devices, the real difference rarely lives on the spec sheet; it lives in whether daily use becomes better or more annoying. This is still a developing thread, so the useful part is knowing which source signals are hardening and which ones still need caution.
Source notes
- TechCrunch pressGlobal
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