The conversation around AI (artificial intelligence) has long been rooted in the digital world—algorithms, dashboards, and predictive models. But as John Reed, general manager, manufacturing and mobility, Asia, Microsoft, and Matt Hatton, founding partner, Transforma Insights, both explained to me in March on my podcast The Peggy Smedley Show, the real transformation is happening at the intersection of digital and physical.
This is where “physical AI” emerges: intelligence that doesn’t just live in software, but lives in the environment around us. In industries like construction and manufacturing, that leap will be essential as we move forward.
Yet for process and discrete manufacturing, that leap cannot happen in isolation. It requires a system that can translate digital intelligence into realtime, actionable control. Consider this: MES (manufacturing execution systems) are uniquely positioned to provide the visibility, control, and traceability required to safely automate physical operations. It acts as the decisionmaking backbone, bridging IT systems, OT (operational technology), and the emerging layer of physical AI.
Let’s take a step back for a moment. MES as a concept started to take shape in the late 1980s and early 1990s. It ultimately helped bridge the gap between ERP (enterprise resource planning) systems and the shop floor, providing realtime monitoring of production, machine status, and more. Today, MES is a core part of a smart manufacturing strategy, which includes digital twins, AI, and the IoT (Internet of Things), just to name a few.
When implemented thoughtfully, MES platforms create something even more powerful than simple automation. In a continuous feedback loop, data collected from the physical environment informs AI models and training, while those models, in turn, reinforce safer and more efficient behaviors on the plant floor.
According to QYResearch, the global MES market was valued at $14.28 billion in 2025 and is projected to reach $23.39 billion by 2032, which is a 7.4% growth rate. Key market drivers include the adoption of Industry 4.0, smart manufacturing, the need for realtime visibility, increasing demand for quality and compliance, reduction of operational costs and waste, and growing complexity of manufacturing processes.
MarketsandMarkets suggests the Asia Pacific MES market will see considerable growth, rising 11.2% from 2025 to 2030, driven by smart factory initiatives, strong government support, and rising demand for realtime visibility, quality control, and operational efficiency. The research company says when MES is combined with AI, it changes from a process-monitoring tool into an intelligent decision-making engine that predicts outcomes, optimizes machine performance, and drives efficiency and productivity.
There is still so much to come. The shift from digital AI to physical AI represents more than a technological advancement. At its core, it is a fundamental rethinking of how intelligence operates in the real world. And at the center of that transformation is the ability to connect insight with action. That’s the bridge MES provides. It’s not just part of the conversation. It’s the foundation that makes physical AI possible.
And when we talk about the future of AI, we can’t keep leaping ahead without understanding the systems that got us here. The past isn’t nostalgia; it’s the blueprint. Every breakthrough we celebrate today was built on visibility, discipline, and integration. MES is the layer that turns data into governed, coordinated, traceable physical outcomes. AI is the brain; MES is the nervous system. The next era of competitiveness won’t just be digital; it will be physical. And MES is the bridge that makes that future real.
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