(Robotics Transformation)
The Future of Work Transformed by Physical AI

While Generative AI has created content and provided information, Agentic AI is expanding the role of AI by understanding user goals, making independent decisions, and performing tasks. Related technologies, such as Vision-Language-Action (VLA) models that connect visual information and language commands to real-world actions, are also maturing. AI is now evolving beyond the digital realm into Physical AI, which can perceive the real world and act on it directly.

Corporate expectations for Physical AI are also rising. According to a 2026 Deloitte survey, while only 5% of companies reported that Physical AI was transforming their organizations, 41% expected it to do so within the next three years.

As AI's cognitive and reasoning capabilities merge with robotics, the role of robots is changing. Robots are shifting from automation equipment that repeats specific tasks to a general-purpose workforce capable of adapting to various environments and tasks. Physical AI is marking a turning point in how work is done at industrial sites.

Labor shortages persist in 3D industries (Dirty, Dangerous, Difficult) such as manufacturing, logistics, and construction. Consequently, there is a growing need for intelligent robots that can help address these shortages and perform a variety of tasks. While advances in Physical AI are expanding what robots can do, simply introducing robots is not enough to achieve the expected results at industrial sites.

Work environments and processes vary from one industrial site to another. For robots to reliably perform real-world tasks, they need to be trained and optimized for the specific site. However, securing sufficient data for robot learning and managing it continuously presents another challenge. The same Deloitte survey also found that 31% of companies cited "technology or data availability" as a major barrier to adopting Physical AI.

As the number and variety of robots increase, operations become more complex. This is because robots from different manufacturers with varying capabilities must be integrated with existing equipment and systems and operated reliably within a single workflow.

Ultimately, the challenge of RX does not end with robot adoption. A specialized partner plays a crucial role in helping companies put diverse robots to work in actual operations and continue using them effectively. Companies need a partner who possesses a broad understanding of both technology and industrial sites and can work with them to resolve challenges that arise after adoption.

For a successful RX implementation, it is not enough to simply introduce individual robots; the entire process—from learning to field application and operations—must be connected into a single flow. To keep adapting to changing work environments, companies need a continuous feedback loop. Robots are trained on data from various sources and deployed in the field, while data collected during operations feeds back into training and optimization.

It is equally important to integrate and operate robots from various manufacturers and platforms in a way that suits the on-site environment. To connect robots with existing equipment and systems and operate them flexibly within a single workflow, companies need a specialized partner with a broad understanding of robotics technology, industrial sites, business processes, and existing systems. The partner must be able to deliver solutions tailored to these environments.

Based on its diverse robotics technologies and business experience, LG CNS possesses the capability to connect robots from different manufacturers with multiple platforms and operate them in an integrated manner. Drawing on its system integration (SI) track record across logistics, factories, cities, and the public sector, LG CNS understands clients' business processes and existing systems, and links robots with equipment and systems to fit each site.

Collaboration with global AI and robotics partners, including NVIDIA, is another strength of LG CNS. By combining the latest technologies from global partners with its own platforms and understanding of industrial environments, LG CNS brings new robotics technologies into industrial use and continuously advances RX.

In the new work environment that Physical AI and RX will usher in, the ability to bridge technology and the field is crucial. Working with a partner that has these capabilities lays the foundation for bringing to life a future where humans and robots work together.