ARTIFICIAL intelligence is entering the physical economy, with intelligent machines and real-world systems beginning to converge at scale. A Deloitte report, titled “Physical AI: The moment of acceleration,” describes how the integration of AI into physical environments is moving beyond pilot programs and into full operational deployment across industries.
Industrial robotics sits at the core of this transition, serving as the primary proving ground for Physical AI. Factory floors, warehouses and logistics networks are becoming environments where intelligent systems are trained, refined and scaled. Early adopters are moving beyond automation toward systems that can sense, adapt and continuously improve.
Adoption, however, remains uneven. Only a small share of companies today report meaningful transformation from Physical AI, yet expectations are rising sharply. Many firms anticipate the technology will reshape their operations within three years, while deeper integration into workflows is projected to grow significantly in the near term. This gap between current capability and future ambition highlights a narrowing window for organizations to build the capacity needed to compete.
Deployment data reflects this momentum. More than 500,000 industrial robots were installed globally in 2024, with annual installations forecast to reach 700,000 by 2028. Collaborative robots are gaining ground, with nearly 65,000 deployed in 2024 alone. Broader estimates suggest that hundreds of millions of robots are already in operation worldwide, a number expected to rise dramatically over the next decade, with many incorporating advanced AI capabilities.
Chris Lewin, Deloitte Asia Pacific AI Lead, described the shift as a turning point for industry. “Physical AI marks the moment when intelligence moves off the screen and into the real world, transforming factories into learning systems that sense, decide and improve continuously. Organizations that are acting now will shape the operating models, skills and standards that define industrial leadership for the next decade,” he said.
The report underscores that the key issue for companies is no longer whether Physical AI will arrive, but whether they are prepared. Readiness depends not only on adopting advanced technologies but also on strengthening internal systems, processes and workforce capabilities. According to Lewin, these factors are largely within organizational control. “There are internal readiness factors that determine how effectively businesses can deploy and scale any PAI solution, today or tomorrow and critically, they are in the organization’s control. Successful PAI implementation is as much about adapting as it is adopting,” he added.
As adoption expands, applications are expected to spread across entire value chains, from production and logistics to maintenance and quality control. The report outlines a structured approach for companies, focusing on sequencing investments, aligning operational processes and ensuring organizations are equipped to absorb intelligent systems effectively.
A key finding is that technological sophistication alone does not guarantee results. Even advanced systems can deliver limited value if deployed in environments lacking operational discipline or a workforce prepared to work alongside them. Organizations that move early, however, can build institutional knowledge that becomes a long-term competitive advantage.
For industry leaders, the report identifies three priorities: understanding their position in terms of technological capability, evaluating whether operational systems can support intelligent automation, and preparing the workforce for closer collaboration with AI-driven machines.
To support this shift, Deloitte China has established a Physical AI Center of Excellence in Shanghai, designed to help companies transition from pilot projects to real-world deployment. By combining expertise in robotics, advanced manufacturing and artificial intelligence, the center uses simulation tools and industry insights to reduce risk and accelerate implementation. The report concludes that Physical AI is no longer a future concept but an immediate strategic priority, with early adopters likely to define the next phase of industrial competition.
“Shanghai sits at the intersection of advanced manufacturing, industrial robotics, and global supply chains, making it an ideal hub for our new Deloitte Asia Pacific Physical AI Centre of Excellence through our strategic alliances,” Deloitte Asia Pacific CEO David Hill emphasized, as he pointed to the strategic importance of the initiative.
“We are helping clients move beyond pilots and proofs of concept to scaled deployments, using simulation, governance, and workforce transformation to unlock the full potential of Physical AI safely, responsibly, and at speed. The pioneers of Physical AI on today’s factory floors are writing the competitive playbook for the next decade,” he concluded.
