Bosch is advancing its digitalization strategy by placing agentic AI at the center of its global roadmap. This technology represents the natural evolution of traditional and generative AI, and allows the creation of systems capable of acting proactively, learning from context and making autonomous decisions in industrial, mobility and home environments. Unlike generative AI—which responds to user commands or requests—agent AI can analyze different scenarios, decide the best sequence of actions, and execute them with minimal supervision. This opens a new stage in automation in which artificial intelligence not only assists, but collaborates and acts.

According to Juan Antonio Relaño, CIO of Bosch in Spain, “generative AI solves what we ask of it. Agentic AI, on the other hand, is capable of acting autonomously. We can set a general objective and the technology defines the subtasks necessary to achieve it.” This approach fully fits with Bosch’s vision regarding the role of agentic AI as a driver of the factory of the future.

A comprehensive AI ecosystem: traditional, generative and agentic

Bosch has been working with AI for more than a decade and has applied traditional AI in key areas such as machine vision, quality control, predictive maintenance and industrial process optimization. With the advent of generative AI, Bosch has been able to generate synthetic data to train advanced models, especially on production lines with very low error rates.

Agentic AI now represents a new technological leap. It allows autonomous decisions to be integrated into the workflow and connect the entire Bosch technical architecture – machines, sensors, platforms and software – to achieve unprecedented levels of efficiency and flexibility.

Industrial transformation: factories with autonomous agents

Bosch has reinforced its leadership in industrial digitalization thanks to the application of artificial intelligence in more than 1,400 production lines around the world. The use of sensors, connected systems and advanced models has allowed us to improve productivity, reduce downtime and increase precision in critical processes. Furthermore, with agentic AI, these systems are capable of making decisions in real time, anticipating deviations and adapting the production process without stopping the line. This is especially important in a context in which customers demand increasingly personalized products and shorter series. As Juan Antonio Relaño explains, “the static production line will be transformed. Our customers want flexibility, short runs and configurable products. Agentic AI allows us to operate without stopping machines to reconfigure processes.”

Application in mobility: towards a more autonomous and proactive vehicle

In mobility, Bosch is integrating AI into new solutions for the cockpit and on-board experience, such as the ‘AI Extension Platform’. With it, the vehicle can learn from the driver, identify situations within the cabin and anticipate needs to offer a safer, more intuitive and personalized experience.

Agentic AI will improve the autonomous management of vehicle functions, coordinate systems in real time, adapt the experience to each user and offer more precise and predictive navigation. These advances are part of Bosch’s global plan, which plans to exceed €10 billion in sales in software technologies, sensors and advanced mobility systems by the mid-2030s.

Strategic investment: more than 2.5 billion euros in AI

The Bosch Group has confirmed that it will invest more than 2.5 billion euros in artificial intelligence until 2027. This investment consolidates its global leadership and supports the growth of the Bosch Center for Artificial Intelligence (BCAI), the integration of AI in all the company’s businesses and the development of new solutions capable of working autonomously, safely and efficiently. The corporate objective is for AI – including agentic AI – to form part of the Group’s entire portfolio of technologies and products. And all this with a commitment to reliable and responsible AI. Since 2020, Bosch has had an ethical code for artificial intelligence that requires human supervision in any decision that may affect people. The Bosch company also works on explainable, transparent, robust and safe models. As Relaño states, “in the future, explanations will be essential. It will not only matter what the algorithm decides, but why it decides it.”