The automotive industry which employs over 19 million people in India and contributes 7.1 percent to the country’s Gross Domestic Product (GDP) can further improve productivity through new-age technologies.

As per the latest EY India report titled ‘How much productivity can Generative AI (GenAI) unlock in India? The AIdea of India: 2025,’ the Indian automotive sector see its productivity improve between 30 percent to 32 percent by 2030 through GenAI.

The report highlights that the automotive sector can leverage GenAI's potential right from product development, customer engagement, autonomous driving and also sustainability initiatives.

The industry is already leveraging advanced technologies such as autonomous driving, real-time analytics and AI-driven optimisation. Furthermore, the integration of GenAI will provide additional fillip towards innovation and efficiency across the entire value chain.

The significant gains through GenAI will be in areas such as product development, process optimisation and customer engagement.

The EY India report stated that 33 percent of respondents shared that their organisations are actively investing in GenAI, with budgets either allocated or in the process of being invested. Additionally, 57 percent of respondents have initiated Proof of Concept (POC) initiatives, with 14 percent already moving these POCs into production. Furthermore, AI is showing a substantial impact on customer satisfaction, with its ability to revolutionise customer engagement through personalised and real-time interactions.       

Vinay Raghunath, Partner and Automotive Sector Leader at EY-Parthenon, said, “GenAI offers a tremendous opportunity for innovation across the entire automotive value chain and can help unlock new potential across manufacturing processes, customer interactions and aspects related to vehicle autonomy, safety and personalisation. Integrating real-time data processing with autonomous features can reshape personal and public transportation systems. Incorporating GenAI capabilities can help streamline production processes, leading to increased efficiency, reduced waste, and improved product quality. Predictive models can help enhance vehicle reliability and lower repair frequency and associated costs. The industry can leverage GenAI to reshape the future of mobility but will also need to address challenges related to investment, data security concerns, regulatory compliance and workforce training”

The report estimates that GenAI can help improve productivity between 37 percent to 39 percent with AI-powered solutions set to revolutionise customer interactions, improving customer satisfaction and engagement.

For production and assembly, the improvement can be between 35 percent to 37 percent, while automation and predictive maintenance will see improvement between 34 percent to 36 percent.

While there is a tremendous opportunity to gain through the adoption of GenAI, the challenges include investment expenses, data security concerns, regulatory compliance and workforce training.

Representational Image Courtesy: Cottonbro studio/Pexels

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European ride-hailing platform Bolt has selected the NVIDIA Alpamayo Stack autonomous driving software to operate its vehicle fleet in Europe, starting with Lucid automobiles.

The deployment commences in Madrid in 2027, with subsequent deployment planned in Germany and France. The initiative supports the integration of at least 25,000 Level 4-ready Lucid vehicles equipped with NVIDIA Hyperion compute and sensor architecture. The program contributes to Bolt's objective of deploying 100,000 autonomous vehicles across Europe and the UNECE region by 2035. The system integrates reasoning artificial intelligence with perception and planning modules alongside NVIDIA Halos safety controls.

Jevgeni Kabanov, President and Head of Autonomous Driving, Bolt, said, “Autonomous driving will change how people move around cities, and Europe should play a major role in how that future is built. Our ambition isn't to bring autonomous driving to just a handful of cities. We want to make autonomous ride-hailing available at scale across Europe, with 100,000 vehicles on our platform by 2035. We're bringing together some of the best technologies in the world to make that possible. Following our first autonomous mobility launch in Luxembourg, our next step with NVIDIA and Lucid is to begin a programme in Madrid in 2027. The Region of Madrid is pioneering a structured framework for commercial autonomous mobility in coordination with national authorities. Germany will also be a priority for what comes next, with cities already setting out clear ambitions for autonomous mobility.”

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, “Robotaxis will scale when every vehicle is built on a common, safety-engineered foundation. NVIDIA Hyperion standardises the compute and sensor architecture across vehicle platforms, while NVIDIA Alpamayo Stack and Halos provide the driving intelligence and safety foundation. Bolt’s European platform, operational experience and work with cities and regulators make it a strong partner to bring autonomous ride-hailing to market at scale in Europe.”

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French tier 1 supplier Valeo has announced plans to develop and industrialise high-performance compute platforms utilising the NVIDIA Hyperion reference architecture and NVIDIA Halos safety system.

The initiative combines Valeo's vehicle integration capabilities with centralised computing architectures to support software-defined mobility systems. The platform utilises the NVIDIA DRIVE AGX Thor architecture to deliver processing performance and redundancy for Level 4 autonomous driving, commercial trucking and robotaxi applications. The development framework enables automakers to integrate features and deploy autonomous technologies across vehicle models.

Marc Vrecko, Chief Executive Officer, Valeo Brain Division, said, "Our work with NVIDIA marks a significant milestone in our mission to make autonomous driving a safe, scalable reality. By seamlessly integrating NVIDIA’s advanced compute power into our next-generation platforms, we are delivering the flexible, centralised intelligence vehicle manufacturers require to redefine the driving experience and meet the evolving demands of tomorrow’s intelligent vehicles."

Rishi Dhall, Vice-President of Automotive, NVIDIA, said, "Valeo’s expertise in high-performance computing, vehicle integration and automotive-scale industrialisation will help automakers adopt NVIDIA Hyperion and NVIDIA Halos at production scale. Together, NVIDIA and Valeo are providing the AI performance, functional safety and scalability needed to accelerate the development of Level 4 autonomous vehicles and robotaxis."

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HCLTech has introduced an artificial intelligence (AI) verification and validation platform utilising NVIDIA simulation tools, agentic systems and open models.

The offering targets vehicle manufacturers and tier-1 suppliers to automate software validation workflows and accelerate release cycles. Built on a simulation-first operating model, the platform connects requirements, test creation, execution, analysis and compliance reporting.

The system integrates HCLTech's engineering expertise and validation model with NVIDIA Omniverse, Cosmos, Alpamayo, NuRec and Isaac Sim technologies to generate scenarios in virtual environments, reducing reliance on physical testing.

Additionally, the platform utilises the NVIDIA Agent Toolkit to orchestrate AI agents powered by Nemotron open models across the validation lifecycle.

Pankaj Tagra, Chief Growth Officer and Global Head of Mobility, HCLTech, said, “Automotive software is evolving faster than traditional validation processes were designed to handle. Frequent software updates, increasingly complex vehicle systems and the need to demonstrate compliance across changing configurations can make validation slow, fragmented and difficult to scale. Powered by NVIDIA, HCLTech’s V&V for Auto is designed to help organisations shift from periodic, labor-intensive testing to continuous, intelligent validation, using simulation and AI to make software release decisions with greater speed and confidence.”

Dr. Sebastian Scheurle, EMEA Industry Lead of Automotive Enterprise, NVIDIA, said, “Validation now sets the pace for software-defined vehicles. With NVIDIA Omniverse, Cosmos and Nemotron at its core, this solution leverages world-class simulation and AI capabilities to support automakers in their journey towards moving more testing into simulation, covering rare and safety-critical scenarios earlier and releasing software with greater confidence.”

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HARMAN has received recognition from the AutoTech Breakthrough Awards, marking the fourth consecutive year the company has been honoured by the market intelligence organisation. The Ready Aware platform received the Driver Safety Solution designation for 2026.

Ready Aware operates as a software-defined vehicle-to-network solution that integrates infrastructure feeds, vehicle telemetry, cloud analytics and digital twin data to provide contextual in-vehicle warnings.

The system processes information regarding road conditions, weather, traffic hazards and signal timing to deliver alerts beyond the driver's line of sight. The architecture works with existing 4G and 5G cellular hardware and vehicle cloud environments, enabling automakers to deploy software updates without hardware modifications. The platform supports Euro NCAP compliance requirements and offers over 15 safety use cases, including intersection warnings, red-light notifications and hazard alerts.

Bryan Vaughn, Managing Director, AutoTech Breakthrough, said, “HARMAN Ready Aware is redefining vehicle safety from reactive intervention to proactive awareness. Almost a quarter of U.S. traffic deaths and roughly half of injuries are related to intersections. Cameras and sensors can be limited by physical occlusions and, on their own, may not have access to information about upcoming signal changes or other traffic conditions. Ready Aware’s software-defined model connects the intelligence already present in cities and connected vehicles, then delivers it to the driver as a timely, contextual alert. Ready Aware turns infrastructure data, vehicle telemetry and cloud analytics into actionable driver awareness—available today, scalable tomorrow, and quickly deployable.”

The system uses a cloud analytics and scoring layer named the Confidence Engine to filter data feeds, reduce false alerts and prioritise notifications to minimise distraction. Automakers can integrate the software via client-to-cloud or cloud-to-cloud configurations to support subscription services and feature monetisation.

Suman Sehra, Global Head of Connectivity Product and Portfolio Management, HARMAN, said, “Ready Aware gives automakers a flexible way to move connected vehicle safety from reactive intervention to proactive awareness. By transforming real-time road intelligence into timely, contextual alerts, Ready Aware helps drivers anticipate hazards before they come into view while giving automakers a scalable foundation to continuously enhance safety through software. This recognition reflects HARMAN’s vision for safer, more informed mobility.”

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