How AI Is Driving Innovation In The Automotive Industry

Forbes

a day ago

Rajnish Nath, President of Manufacturing, Automotive, Aerospace & Defense and Life Sciences at Capgemini Americas.
For years, pop culture and various media have envisioned our cars of the future. From the DeLorean of the "Back to the Future" franchise to The Jetsons' aerocar, these portrayals have offered a window into how revolutionary automotive technology could reshape the way we travel, live and interact with vehicles in the future.
Today, flying cars are being designed by a variety of start-ups, helping to push the boundaries of mobility. Each day, we move closer to fully autonomous, incredibly intelligent and connected vehicles.
AI is fundamentally changing the automotive sector, from product design, supply chain and manufacturing, safety and logistics, all the way down to the in-cabin experience. It seems like there is virtually no limit to AI and other transformative technologies' ability to drive innovation.
AI's Role In The Supply Chain
Although the current geopolitical uncertainties, supply chain disruptions and economic pressures have the automotive industry scrambling to adapt quickly and efficiently, I believe there is an exciting opportunity for organizations to rethink their factories and supply chains of the future.
In today's political headwinds, every organization must ensure the longevity and resilience of its business in the market, with 62% of organizations acknowledging the importance of establishing domestic manufacturing and supply chain infrastructure to strengthen local capacity.
Arguably, one of AI's most important roles is its potential to revolutionize supply chain operations. AI-powered technologies can provide companies with the power to better map their supply chains, detect changes in supply and demand, and recommend proactive measures to mitigate disruptions earlier.
For example, AI technology is already helping automotive OEMs adjust their strategies to improve part supply by understanding multiple market signals to continuously monitor the risk of parts shortages to keep plant lines running. Early guidance can enable alternate sourcing and reduce or eliminate reactive approaches.
Hand in hand with other advanced technologies such as agentic AI, machine learning (ML) and large language models (LLMs), AI-powered technologies are helping companies mitigate supply chain risk to continue manufacturing despite market shifts.
Additionally, the rise of hybrids and electric vehicles (EVs) has added complexity to the automotive supply chain, accounting for a record 20% of US vehicle sales in 2024. Beyond working together to improve planning, forecasting and decision making, these tools will be crucial in supporting the manufacturing of complex vehicles and their software-rich components to keep up with the ever-changing customer demand.
While AI will be key in building proactive resilience and risk management in the automotive supply chain and manufacturing, we're also seeing how AI-powered innovations are powering the vehicles of our future.
AI-Powered Innovations In Modern Vehicles
Nearly every major automaker around the world utilizes advanced driver assistance systems (ADAS) in some form. With the global ADAS market projected to grow from $72.7 billion in 2025 to $260.5 billion by 2035, it's clear that industry leaders see this technology as essential for enhancing vehicle safety, boosting sales and driving new revenue streams through connected services.
AI plays a central role in the evolution of ADAS. Its ability to process vast amounts of data, interpret complex environments and support real-time decision-making brings us closer to fully autonomous vehicles. Currently, 26% of automotive organizations are using generative AI to accelerate autonomous vehicle development. Looking ahead, we can expect to see even greater use of neural networks, proprietary algorithms and agent-based AI in engineering software-defined vehicles. These technologies aim to achieve faster time to market, greater reliability and safety, and improved customer satisfaction—all while keeping human engineers at the wheel.
AI is also transforming the in-cabin experience by making it safer and more personalized. Features like voice-activated controls as well as tailored recommendations for food, fuel and eco-friendly routes are already enhancing daily driving. Now, we're seeing next-level personalization with innovations such as interior lighting designed to reduce motion sickness and holographic dashboards, turning cars into immersive, personalized living spaces.
Beyond the driving experience, AI is also streamlining post-sale operations. It's helping manufacturers and suppliers close the warranty feedback loop more quickly by identifying product issues through both customer reports and vehicle telematics. This accelerates root cause analysis and improves product design. In service environments, AI tools are helping technicians improve repair accuracy by analyzing shared images, videos and sounds of vehicle issues. Soon, AI agents will be capable of providing real-time guidance on warranty coverage simply by reviewing a media file and responding to technician queries, driving faster, more accurate and more transparent vehicle servicing.
The Road Ahead
Over the next decade, AI is poised to play a transformative role in the automotive industry, reshaping vehicle development, enhancing driving experiences and influencing urban mobility. As software becomes increasingly central to vehicle functionality, the shift toward software-defined vehicles will accelerate, gradually moving away from traditional engineering paradigms. While fully autonomous vehicles may not yet dominate the roads, we can expect more widespread integration of ADAS, contributing to incremental safety and performance improvements. In-car experiences are also likely to become more adaptive, with AI personalizing settings and preferences to individual drivers.
This period of technological transition brings both uncertainty and opportunity. AI holds promise for strengthening supply chain resilience, offering predictive capabilities that could help automakers navigate disruptions with greater agility. At the same time, its role in connecting vehicles to smart city infrastructure opens new possibilities for traffic optimization and urban mobility services, such as autonomous ride-hailing and shared transport.
In today's automotive landscape, AI is not just a tool; it's becoming a foundational enabler of innovation. From engineering and manufacturing to the user experience, AI is helping to redefine what vehicles can be, setting new benchmarks for safety, customization and customer expectations.
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