A One-Character Shift: From "Digital" to "Intelligent"

One character changed — and it says everything about where the tech industry is heading.

At the 4th China International Supply Chain Expo (Chain Expo) held in Beijing from June 22-26, 2026, the "Digital Technology Chain" was renamed to "Intelligent Technology Chain" . This wasn't a cosmetic change. It reflected a fundamental shift: AI is no longer an emerging technology — it is becoming the operating system for every industry .

The expo featured over 160 debut innovations, with AI-powered applications and intelligent collaboration solutions making up the majority of first launches [citation:11]. Unlike previous years where AI was confined to dedicated booths, this year AI was everywhere — integrated into manufacturing, healthcare, agriculture, energy, and logistics [citation:10].

"Every supply chain is also an information system," NVIDIA CEO Jensen Huang said in a video address, "and AI will give that system intelligence" [citation:10].

AI Goes Everywhere: From the Showcase to the Factory Floor

Walk through the Chain Expo halls, and the change is unmistakable. In previous years, visitors asked: "Where can I find AI?" This year, a more telling question emerged: "Where isn't AI?" [citation:10].

AI was embedded across all six industry chains:

One exhibitor who has attended all four expos noted the biggest change: "AI has become the protagonist" [citation:1].

Case 1: Video Editing in Minutes

At the AI PC experience zone, a short video editing demonstration drew crowds. A staff member imported a 5-minute video clip into a software tool running on local computing power [citation:2][citation:4].

The software automatically: identified faces, dialogue, and scenes; generated a narration script; and delivered a rough edit — all in minutes. One journalist who witnessed the demo described the AI as a "very reliable AI colleague" [citation:2][citation:4].

For content creators, this represents a massive leap in productivity: what once took hours of manual editing can now be accomplished in minutes with a local AI assistant [citation:4].

Case 2: Sorting 4 Tons of Nuts per Hour with 99% Accuracy

One of the most compelling demonstrations of AI in physical industry was a smart sorting machine equipped with eagle-eye scanning technology [citation:2].

The machine processes 4 tons of pistachios per hour, running 24/7 with over 99% accuracy. It identifies and removes defective nuts — mold, insect damage, cracks — in real-time, far exceeding what human inspectors can achieve [citation:2][citation:5].

As the sales manager explained: "It frees human workers from tedious preliminary sorting and redeploys them to higher-value quality control roles, ensuring consumers receive consistently high-quality products" [citation:2][citation:5].

Case 3: AI Accelerating R&D — 1 Day vs 1 Week

Perhaps the most transformative application on display was in R&D. An OLED materials research tool demonstrated how AI is accelerating innovation in display technology [citation:2][citation:5].

Previously, the R&D process involved manual execution of every step: molecular design, property comparison, synthesis analysis, patent analysis, chemical synthesis, and device testing [citation:2][citation:5].

Now, AI handles every step before chemical synthesis — designing, evaluating, and optimizing molecular candidates. The results are dramatic:

• Before: Researchers spent 1 week to find 1-2 new molecules
• After: Researchers can propose multiple high-quality solutions in a single day [citation:2][citation:5]

This is not about replacing researchers — it's about expanding their capacity. As one staff member put it: "AI fills the gaps in human knowledge and expands the boundaries of innovation" [citation:2][citation:5].

The Deeper Shift: AI Becomes the "Operating System" for Industry

Industry analysts see a deeper meaning in the "digital" to "intelligent" shift. As one expert explained [citation:10]:

• "Digital" focused on data collection, storage, and transmission — the infrastructure layer
• "Intelligent" goes further: using data as the foundation and AI as the engine to drive real-time decision-making, adaptive optimization, and collaborative intelligence

This is the transition from tools to operating systems [citation:10].

The expo's Intelligent Technology Chain pavilion was organized around a three-tier architecture [citation:10]:

• Bottom layer: Core technology innovation
• Middle layer: Industry incubation
• Top layer: Application scenarios

This mirrors the structure of an operating system: AI serves as the foundation and control hub, supporting a flourishing ecosystem of applications across all industries [citation:10].

AI is now being used across the entire supply chain, not just in isolated pockets. TCL reported that its AI models have increased R&D efficiency by 75% and software development efficiency by 30% [citation:10].

Key Takeaways