At the Forbes Global Innovation Forum, Honeywell Greater China President Yu Feng highlighted that the key challenge for AI in industry is not intelligence level, but accountability for real-world outcomes.

Physical AI Moves Into Real-World Industrial Systems

AI is increasingly being embedded into physical environments, forming closed-loop systems of perception, decision-making, and execution. This shift is driving machines to evolve from simple tools into intelligent industrial systems.

Safety And Control Remain Top Priorities

Yu Feng stressed that in high-risk industries such as chemical plants and energy systems, even small AI errors can have serious consequences.

Honeywell therefore focuses on a controlled approach: building AI on top of proven automation systems while keeping humans in the decision-making loop.

Data And Industrial Expertise Are Key Foundations

The effectiveness of Physical AI depends on high-quality data and deep industrial knowledge. However, industrial data is often fragmented, making integration and standardization a major challenge.

Yu Feng emphasized that without reliable data and process understanding, even advanced AI cannot deliver value.

Human In The Loop Remains Essential

Unlike deterministic PLC systems, AI outputs are probabilistic and harder to explain. In industrial environments, human judgment remains essential for safety and accountability, making “human in the loop” a core requirement rather than an option.

AI Is Reshaping Workforce And Operations

Physical AI is helping convert engineering experience into standardized digital guidance. AI-assisted systems can provide real-time instructions and diagnostics, improving efficiency and reducing operational risk.

China As A Key Testing Ground

China’s large and complex manufacturing base makes it an important environment for testing Physical AI at scale, accounting for around 30% of global manufacturing output.

Honeywell Expands Industrial AI Applications

Honeywell’s solutions are widely deployed across smart ships, buildings, transportation, and healthcare, supporting energy optimization, remote operations, and safety management in large-scale industrial systems.