ABB and NVIDIA launch education program for physical AI

Bridging the gap to physical AI

ABB Robotics and NVIDIA have announced a partnership to create a specialized education program focused on physical AI. This initiative aims to prepare the workforce for a future where artificial intelligence moves beyond digital screens and into the physical world. The companies want to ensure that people have the necessary skills to manage systems that make, inspect, move, and maintain industrial products.

The move comes as industrial-grade intelligent systems begin to scale in various sectors. Marc Segura, the president of ABB Robotics, noted that physical AI is currently reshaping the skills required in industrial environments. He emphasized that talent readiness is a critical component of deployment readiness for these new technologies.

According to the companies, the full potential of Autonomous Versatile Robotics (AVRTM) can only be realized when the right skills are in place. By focusing on education, the partners hope to help industries transition from simply owning technology to actually utilizing it effectively. This program was showcased during the NVIDIA GTC event in Berlin.

The job redesign challenge

A supporting white paper released by the companies highlights a significant disconnect in how businesses are approaching AI. The research found that while 53% of companies are currently building AI fluency, a staggering 84% have not yet redesigned their jobs around AI capabilities. This suggests that many organizations are adopting tools without changing the underlying workflows or roles of their employees.

The white paper argues that industrial physical AI will not scale through technology investment alone. Instead, success depends on people being able to translate the potential of these tools into production systems that improve continuously. The research identifies specific capabilities and learning approaches needed to bridge this current gap between technology and practical application.

To solve this, the report suggests that a connected system of stakeholders is required. This includes academic institutions, employers, technology organizations, and industry bodies. They must work together to provide a cohesive educational framework that addresses the specific needs of physical AI in the modern industrial landscape.

Hands-on learning and tools

The upcoming official learning program will provide students and professionals with practical experience using industry-standard software. Participants will engage in hands-on learning with ABB RobotStudio and NVIDIA Omniverse. These tools allow users to simulate and develop complex robotics and AI behaviors in a controlled digital environment before deploying them in the real world.

By combining these platforms, the program seeks to connect practical learning simulations with actual AI development and robotics. This multi-faceted approach is designed to translate complex capability needs into tangible learning opportunities. It aims to create a pipeline of talent capable of handling the nuances of physical automation.

Upon completion of the program, participants will receive a certificate in robotics, simulation, and physical AI. This credential is intended to validate the skills needed for the next generation of automation talent. The goal is to provide a clear pathway for workers to move into high-demand roles involving intelligent physical systems.

A collaborative research effort

The white paper supporting this launch was not developed in a vacuum. It includes contributions from a diverse group of partners, including Amazon Web Services, AsiaInfo, Deloitte, and SKAI Intelligence. These contributors provided perspectives from various fields such as manufacturing, cloud infrastructure, and higher education.

The collaboration ensures that the educational framework considers the needs of multiple industries simultaneously. By incorporating professional learning and industry research, the program aims to be comprehensive. It addresses the requirements of both the people who build the technology and the people who will use it on the factory floor.

The joint effort between ABB and NVIDIA reflects a broader trend in the industry. As AI becomes more integrated into physical hardware, the boundaries between software development and mechanical engineering are blurring. This program serves as a blueprint for how these different disciplines can be taught as a unified skill set.

What comes next for industry

Moving forward, ABB and NVIDIA are exploring how these capabilities can be further developed through a dedicated physical AI education solution. They are looking for ways to connect simulation, AI development, and robotics into a seamless learning experience. The focus remains on creating a workforce that can keep up with the pace of technological change.

For companies, the immediate task is to look at their current job descriptions and identify where AI capabilities can be integrated. The white paper suggests that simply buying new software is not enough; organizations must rethink how humans and machines will interact. This involves identifying the specific skills that will be most valuable as robots become more autonomous.

As the program rolls out, the industry will be watching for how well these skills translate to actual production gains. The success of this initiative will likely serve as a model for other robotics and AI companies. It sets a precedent for how the