Automakers are rapidly adopting artificial intelligence (AI) to combat mounting financial pressures caused by shifting U.S. trade policies and resulting tariffs.
General Motors expects up to $5 billion in tariff-related costs in 2025, Toyota forecasts a 21% decline in net income due to levies, and Ford anticipates tariffs will reduce its gross profit by approximately $2.5 billion this year.
In response, major automakers are deploying AI, automation, and advanced data analytics to increase efficiency, reduce costs, and sustain operations amid the economic uncertainty.
Ford Chief Operating Officer Kumar Galhotra revealed during the company’s Q1 2025 earnings call that ongoing AI projects with multiple partners are projected to deliver substantial cost savings. Ford has integrated AI into its product development process, cutting weeks off design timelines. The company is also testing AI-powered robotics, including Boston Dynamics’ robot dog in a Spanish assembly plant, which uses sensors to detect issues such as oil leaks, enhancing preventive maintenance capabilities.
GM is also expanding its AI efforts. In March, the automaker partnered with chipmaker Nvidia to accelerate AI hardware and software integration in its vehicles. GM recently appointed its first chief AI officer to coordinate AI initiatives across the company. CEO Mary Barra emphasized during the Q1 earnings call that all top executives have AI-related goals to improve business efficiency and reduce costs.
In addition, GM uses AI to improve vehicle safety and quality, optimize production through digital twins that simulate manufacturing lines, and enhance battery pack inspections and electric vehicle charger placement.
Meanwhile, Toyota is leveraging AI to boost vehicle development and customer service. CEO Koji Sato highlighted plans to use AI agents to evolve data-driven vehicle development and onboard sensor services during Toyota’s Q4 2025 earnings call.
Since 2024, Toyota has deployed around nine AI agents powered by Microsoft’s Azure OpenAI Service and GPT-4o technology. These agents assist engineers by answering design questions, improving regulatory compliance, and sharing institutional knowledge. According to Microsoft, this system autonomously selects the appropriate AI agents based on user needs, streamlining access to expertise embedded in Toyota’s extensive design data.
With tariffs expected to continue pressuring the automotive industry, AI adoption is emerging as a critical strategy for automakers to navigate economic challenges and maintain competitive advantage in 2025 and beyond.
