We are steadfast in our commitment to ethical AI deployment, shaping transformative customer experiences and fueling rapid innovation.

Two Vehicles Parked in Front of a Pilot Convenience Store

Geospatial AI for Infrastructure

AI analysis of EV trends for optimal charging station locations

Harnessing predictive analytics and geospatial algorithms, our data scientists identified strategic charging nodes for GM’s infrastructure work with Pilot Flying J. The algorithm cross-references multivariate data—ranging from EV telemetry to socio-geographic features.

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A Robotic Conveyor System Used in GM Plants

Predictive Analytics

Proactive detection and optimizations in manufacturing

Utilizing AI-driven predictive analytics, our Manufacturing teams optimize vehicle output through historical performance and real-time data analytics of our robotics and conveyor systems. Our AI model will learn and discern anomalous patterns indicative of potential malfunctions. These early-detection algorithms will enable swift, proactive interventions, which can help avert unscheduled downtimes and ensure a seamless vehicle supply chain.

Person Holding a Smartphone With Driving Directions Displayed

AI-Powered Travel Optimization

Intelligent route planning to help alleviate range concerns

Aiming to mitigate range anxiety, our proprietary AI algorithm, built on gradient-boosting machines and time series analysis customizes travel trajectories. Factoring in vehicular telematics, topological data and driver behavior vectors, this algorithm orchestrates route recommendation to help promote energetically efficacious transit.

Two Motorsport Engineers Reviewing Vehicle Data

AI/ML race strategy and real-time image analysis

Pioneering the future of motorsports success

Motorsports offer a unique opportunity to implement AI-driven solutions that assist teams and engineers. Machine learning is utilized to create models using vehicle performance data, historical competitor behaviors, and real-time track conditions, forming the foundation of adaptive race strategies.

These strategic models, combined with AI–powered real-time images and race analysis and recognition, play a crucial role in enhancing decision-making during races, often leading to dramatically improved outcomes. Our motorsports programs develop core competencies in all facets of GM’s business, with design cycles measured in days and weeks rather than years, hence progress is rapid and showcased on a global scale week in and week out.

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Continuous Learning & AI-Driven Urban Navigation

Advancing toward full autonomy

Rather than incrementally improving driver aids, engineers harness AI to pursue full autonomy. A continuously learning AI tech suite addresses urban challenges by analyzing and learning from real-world events and create thousands of lifelike training simulations.

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Teaming up to Keep Pushing Ourselves

Pursuing collaborations keeps GM on the pioneering edge of AI

Person Pressing Onstar Button Under Rearview Window

Google Cloud

GM and Google Cloud have successfully brought conversational AI into vehicles with OnStar Virtual Assistant. Using advanced, intent-recognition algorithms, customers can get help quicker, and human advisors can focus on emergencies and more complex customer service needs.

Spoon Picking Up Minerals from a Pile

Mitra Chem

Mitra Chem, a Silicon Valley-based AI-enabled battery materials innovator, is expected to accelerate GM’s development of affordable batteries in the U.S. GM led a $60 million investment to accelerate development of advanced new materials by simulating, synthesizing and testing thousands of cathode designs monthly.

If you share our passion for rapid innovation in the transportation sector, consider a career at General Motors.

 

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