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    Home»News»Stocks»General Motors (GM) Stock: Public Road Testing Begins for Advanced Autonomous Driving System
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    General Motors (GM) Stock: Public Road Testing Begins for Advanced Autonomous Driving System

    Oli DaleBy Oli DaleMarch 23, 2026No Comments3 Mins Read
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    Key Highlights

    • General Motors has transitioned from gathering information to conducting supervised real-world tests of self-driving technology on public streets
    • The initiative leverages more than one million miles of collected information spanning 34 states, supplemented by insights from the Cruise unit
    • Super Cruise technology has accumulated over 5 million completely autonomous miles deployed across more than 20 GM vehicle models
    • A hands-free, eyes-off autonomous system is scheduled for the Cadillac Escalade IQ beginning in 2028
    • GM trades at a P/E multiple of 22.82, with Wall Street analysts maintaining a moderate buy rating and an average price target of $93.87

    General Motors (GM) has elevated its self-driving vehicle development efforts to a more advanced stage, launching supervised trials of artificial intelligence-driven autonomous technology in actual traffic environments with safety operators onboard.


    GM Stock Card
    General Motors Company, GM

    The automaker characterized this development as “a critical step in GM’s disciplined, incremental approach to bringing automated technology to personal vehicles at scale.”

    GM has gathered more than one million miles of information from manually driven vehicles operating across 34 states. This extensive dataset, merged with information obtained from its Cruise subsidiary, now fuels the advanced system currently under development.

    The Cruise business unit was essentially dissolved as an independent robotaxi venture following a 2023 incident in San Francisco. GM withdrew financial support and integrated remaining Cruise personnel into its consumer vehicle autonomy division.

    Super Cruise Provides Foundation

    GM’s current hands-free driving platform, Super Cruise, is deployed on more than 20 vehicle models. The system has recorded over 5 million fully autonomous miles navigating challenging urban settings without requiring human driver intervention.

    This operational history forms the cornerstone of GM’s position that it possesses the technical capability to expand autonomy capabilities significantly.

    The upcoming milestone is an eyes-off autonomous system — allowing drivers to divert their attention completely from the road. GM intends to introduce it initially on highways, subsequently extending coverage to complete driveway-to-destination functionality.

    The Cadillac Escalade IQ will be the inaugural vehicle receiving this technology, with deployment targeted for 2028.

    Financial Metrics and Market Position

    GM’s market capitalization currently hovers around $65.82 billion. Revenue has expanded at a three-year compound rate of 20.8%, although profitability metrics face challenges — gross margin registers at 6.27% while net margin stands at 1.46%.

    GM stock trades at a P/E multiple of 22.82 and a P/S ratio of 0.38, both elevated compared to historical medians, indicating the market is incorporating some growth premium into valuations.

    The Altman Z-Score of 1.21 positions the company within what financial analysts characterize as the “distress zone,” a metric warranting attention alongside a debt-to-equity ratio of 2.15.

    Insider transactions show selling activity, with approximately 480,000 shares sold during the most recent three-month period.

    From a technical perspective, GM’s RSI registers at 35.21, approaching oversold levels.

    Institutional holdings remain robust at 86.69%, and analyst consensus indicates a moderate buy recommendation, with a mean price target of $93.87.

    GM captured 17.4% of the US automotive market in 2025, gaining 60 basis points compared to the prior year, recapturing the leading position it surrendered to Toyota during the semiconductor shortage crisis in 2021.

    The supervised public street testing currently in progress is structured to produce real-world verification data that cycles back into both simulation environments and physical testing protocols.

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