The 95th International Wool Textile Conference in Dalang, Dongguan, revealed a critical inflection point for the global wool industry. Dalang's annual trade volume of 72 billion yuan and its production of one in five sweaters worldwide underscore the power of industrial clustering. Yet, the more telling data lies in investment divergence: from January to May this year, fixed asset investment in textiles rose 10.8%, while apparel and chemical fiber sectors fell 10.3% and 14.5%, respectively. This signals a structural shift, with capital flowing toward upstream manufacturing upgrades rather than downstream finishing.
AI Reshapes Production and Resource Allocation
The conference theme, “Smart Wool: Health and Digital Life,” is not mere rhetoric. Artificial intelligence is transforming the industry on three fronts:
- Production efficiency: Jiangsu Yueda Textile's lighthouse factory reduced labor per 10,000 spindles by 70%, boosted labor productivity fourfold, cut energy consumption by 15%, and lowered processing costs by 26%.
- Design and R&D: Semir's AI-assisted design system improved overall design efficiency by 35% and pattern design by over 200%; Bosideng's “AI Aesthetic Brain” cut sample development costs by more than 60%.
- Factor reconfiguration: The global AI market reached $757.58 billion in 2025, up 18.7% year-on-year. China's daily token calls exceeded 140 trillion, up 40% from the end of last year. Tokens are becoming a new production factor, and human-machine collaboration efficiency is emerging as a new competitive metric.
Experience Economy Drives Consumer Change
Global consumption is fragmenting, with health, emotional connection, and self-expression becoming core demands. Wool players must shift from selling raw material to selling lifestyles. Anoky's ecosystem—from dyes to inks to digital printing to AI design to IP cultural products—exemplifies this pivot, binding traditional production with end-user experience through digital tools.
Practical Recommendations
For Buyers - Prioritize suppliers with smart workshops and AI quality inspection; they offer higher delivery stability under demand volatility. - Assess suppliers' data assetization—ability to provide real-time process parameter traceability directly impacts compliance costs. - Include “digital maturity” in supplier scorecards, with a weight of at least 15%.
For Exporters - Use AI-assisted design tools to reduce sampling costs and reallocate resources to small-batch quick trials. - Shift product mix toward intermediate goods—textile exports grew 1.7% while apparel fell 1.6%, indicating overseas clients prefer semi-finished products. - Deploy “digital employees” for repetitive tasks like customs documentation, freeing human talent for client relationship management.
Conclusion
Dalang's 72 billion yuan is not a peak but a starting point for the wool industry's digital overhaul. When AI cuts mill labor by 70%, tokens become production factors, and consumers pay for emotional connection, the traditional wool supply chain is being dismantled and reassembled. Those who complete the leap from manufacturing to smart manufacturing will seize the lead in the next round of global competition.