Generative AI is poised to reshape the entire automotive industry—from personalized marketing and sales to in-vehicle digital experiences, manufacturing and supply chain orchestration. Explore high-value use cases, practical adoption roadmaps, and the data and technology that can help teams get to a “green light” for using and scaling GenAI responsibly.
The automotive industry’s road to GenAI
As GenAI and agentic AI capabilities reshape how automotive customers shop for vehicles, auto brands must learn to adapt and serve drivers throughout the purchase and ownership journey. Though many original equipment manufacturers (OEMs) use AI for internal conveniences such as meeting notes and reducing manual, repetitive tasks, few apply AI to customer-facing functions.
To step into the future, auto brands should embrace agentic commerce and GenAI to modernize marketing and embrace customer personalization and conversion opportunities. This may include subscription services, mobile user experiences or chatbots that proactively solve customer queries—all of which can be enhanced by a robust, AI-powered customer relationship management (CRM) strategy.
This creates a strategic question for auto brands: Where should we focus our GenAI capabilities?
Whether your goal is to deliver hyper-personalized content across email, mobile and in-vehicle experiences, incorporate AI agents into your digital commerce capabilities, or automate personalized marketing, prioritizing the right investments matters now more than ever. Below, our automotive industry leaders share their perspectives on where organizations have the green light to use GenAI, so leaders can avoid adoption roadblocks and drive innovation from concept to scale.
1. Where should automotive organizations focus their AI investments to create real, lasting value?
Agent-enabled shopping experiences
In traditional dealership settings, buying a car can evoke frustration and uncertainty. Today, more and more consumers try to narrow down the search online and compare features and functions ahead of time to ease the selection process.
With the rise of agentic commerce, auto brands can seize a new opportunity to help drive potential customers toward a purchase. Agentic commerce enables AI-driven agents to act on behalf of customers, proactively recommending and transacting with large-language models (LLMs) as the entry point, and with minimal human initiation.
This technology is poised to reshape buyer behaviors. Instead of going to websites to find their information, auto customers can deploy agentic AI to sort through the noise for them, and return with clear recommendations and next steps for purchasing. To stay ahead, mature auto brands should explore agentic commerce tools and the potential growth they can help accelerate.
Software vs. hardware
Automotive leaders increasingly see the future of cars as defined by software. This is a new frontier for a traditionally hardware-focused industry.
The pivot from a hardware-first workstream to digitally enabled in-car interactions presents a powerful opportunity for OEMs to integrate GenAI into the end-to-end customer experience. The right in-car software enhancements can reduce experience fragmentation and deliver continuous improvements long after the car’s purchase. Examples include:
Over-the-air (OTA) updates
With continuous OTA update capabilities becoming a baseline expectation of US customers, rather than an add-on premium feature, brands can harness these software capabilities to make drivers feel seen and heard long after their initial automobile purchase. By reducing the hassle of car ownership and making service and maintenance experiences more convenient and predictable, personalized in car experiences can help improve the business impact and customer satisfaction of OTA deployments.
Always-on lifecycle marketing
Beyond in-vehicle software and OTA, GenAI can also create value through personalized content across every customer touchpoint. This can include improving customer data management to accelerate and automate marketing content, executing CRM campaigns and optimizing sales experience and service efficiency.
Agent-enabled ownership experience
Bolstered by the power of agentic commerce, new OTA offerings can drive proactive, continuous revenue strategies long after the automobile’s purchase. AI agents can present and encourage new subscriptions, accessory add-ons and after-sale upgrades based on each customer’s personalized behavior and profile. Additionally, agentic commerce can help empower conversion for service, maintenance and parts offerings. For example, an AI agent can suggest the most convenient electric vehicle (EV) charging locations based on a driver’s planned route.
2. What common roadblocks prevent automotive organizations from adopting and scaling GenAI?
Organizational buy-in
Before adopting new tools and tech, auto brands should align the organization around GenAI goals, KPIs, systems and incentives. Lack of alignment can create friction for customer experiences and make implementing advanced tech like GenAI difficult without a cohesive, end-to-end vision in mind.
Presenting viable business cases can inspire confidence from the C-suite and help them justify co-investment. Similarly, organizations with clear companywide communication about implementation plans for GenAI features, such as who they will impact and when rollouts begin, have a better chance at full adoption of the new technology, ensuring higher impact from the investment.
Legacy complexity and slow integration of new tech
Many of our automotive clients are in test-and-learn mode, seeking to understand the potential business-wide impact of each new GenAI tool and feature, and hoping to establish a strong foundation before scaling adoption.
Although customer chatbots and contact center automation have already been embraced by the auto industry as mature GenAI applications, they are disconnected from broader customer experience initiatives that could drive enhanced value. These customer service implementations can help employees reduce the time they spend handling customer inquiries, freeing them up to execute more complex strategic tasks. But until those early gains are connected to a broader AI-enabled experience ecosystem, the ROI will likely remain limited.
More mature organizations are working toward connected multi-agent workflows to capture value across the lifetime customer experience. This means stitching together several AI agents to connect the full customer journey, from initial shopper intent to final actions and post-purchase support. On the marketing side, this multi-agent implementation can create one end-to-end path to assemble a customer relationship management (CRM) campaign, including target audience identification, brand compliant content creation, deployment and routing legal approvals to a human gate.
The practical value of connecting these moments with multiple AI agents can mean faster conversion, lower cost-to-serve and an improved OEM-to-dealer experience. By starting small with these customer-facing enhancements and perfecting them with a test-and-learn mentality, auto brands can instill confidence to scale for wider adoption of these more complex multi-agent GenAI integrations.
Customer and organizational trust
The most important consideration of scaling a GenAI implementation is how it impacts the customer. Concerns about data sharing remain high, so auto brands that prioritize customer trust and satisfaction need to approach GenAI rollouts thoughtfully. When interacting during the purchase process, auto customers still want human reassurance in areas such as financing and test drives. Additionally, automotive AI activations can introduce new complexities and concerns around physical safety, insurance liability, regulatory scrutiny and brand reputation.
GenAI is changing shopping behaviors across industries, and cars are part of that evolution. Customers may increasingly look to agentic AI tools to help shape elements of the shopping experience, from pricing and product features to delivery options. Auto brands can build more customer trust by taking a human-led approach that deploys GenAI at the highest-friction moments for the customer, and uses those solutions to create a more harmonious customer experience.
3. How can automotive organizations drive innovation now and in the future?
Across the entire automotive value chain, GenAI-powered innovations continue to mature and transform as the market for these solutions develops. Auto brands can accelerate value by preparing their infrastructure for increasingly popular technology and tools such as:
These GenAI-powered features and always-on customer touchpoints can help OEMs build and deploy safer, more user-friendly vehicles while making the journey more pleasant—driving long-term brand loyalty.
Your green light is waiting
Don’t rev the GenAI engine without a clear route ahead. Prioritize high-value use cases first so that you can put a scalable framework under the hood and accelerate from concept to on-the-road success.
With thoughtful investments and an internal test-and-learn approach, you can hit green lights on the way to your destination of business growth and customer trust.
About the authors
Rodolfo Dominguez is a managing director with Deloitte Consulting LLP where he leads Deloitte’s Auto Tech practice. With more than 25 years of automotive and mobility services experience at a leading premium brand, he helps next-generation automotive companies achieve profitable growth through strategic programs centered on innovation, operating models, customer experience management, and technology transformation.
Jody Stidham is a leader in Deloitte’s Global Automotive practice and an automotive marketing professional with more than 25 years of experience working in many facets of automotive. Jody helps clients develop winning strategies that combine innovation, transformation, and drive profitable growth. Her passion is helping clients solve complex challenges and establish a path to transform their vision into reality–earning long-term loyalty and trust in the process. With these principles in mind, she is focused on helping clients tackle their toughest problems by challenging orthodoxies and thinking in a new way, that build the organizational momentum needed to turn the future they imagine into a reality.
Dameon Pope, a specialist in large-scale, experience-led digital transformation, has 20+ years of experience defining, designing, and delivering digital experiences that have helped transform how some of the world's most iconic brands engage digitally with their customers. Prior to joining Deloitte Consulting LLP as a managing director, Dameon held numerous executive leadership roles at global agencies, built digital startups, and launched new marketing practices in global tech firms. With a passion for studying the intersection between humans and technology, Dameon uses his eclectic mix of experiences to push the boundaries of both—making the two connect in new and innovative ways.
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Sources
1. Jim Rowan, Nitin Mittal, Parth Patwari and Ed Burns, “The agentic reality check: Preparing for a silicon-based workforce,” Deloitte Insights, December 10, 2025.
