The China Iron and Steel Association says artificial intelligence is moving the industry from "experience-based steelmaking" to "data-driven steelmaking," as the sector enters a new stage of premium, intelligent and green upgrading, according to reports by Beijing News and Sina Finance on October 30. The statement came alongside third-quarter industry operating data.
The push comes as margins stay thin. Xinhua Finance noted supply-demand imbalance and rising costs weighing on profits, while Sohu reported steel inventories at a near four-year high with earnings under continued pressure. Emphasizing intelligence at this point points to data-driven cost cuts and quality stability as a way to keep margins inside the plant.
Steel is a priority sector for industrial AI in China. Models for burden distribution, converter endpoint prediction and hot-rolling parameter optimization are already running at multiple mills, replacing judgment that used to rest on veteran operators. The association's phrasing maps to a deeper shift: process knowledge is being converted from personal experience into enterprise data assets.
The transition runs in parallel with capacity policy. May's new rules require the roughly one-billion-ton industry to cut crude capacity, and intelligence is one of the few remaining sources of growth under a volume cap. The association's "confidence, quality, stable supply-demand" framing puts AI upgrading on the critical path.
For AI vendors, steel combines proprietary process knowledge, massive data and strong payment capacity, making it one of the most valuable verticals for domain large models. The shift in wording, from experience to data, shows the industry now expects AI to deliver on the production line rather than in demos.