Artificial intelligence stands as a core driving force in today's global technological competition and industrial transformation. The Yangtze River Delta, as one of China's most economically vibrant and open regions, seizing the industrial opportunities brought by AI technology is precisely the natural course of action.
This week, multiple locations across the Yangtze River Delta have made their moves, all pointing to the same goal—moving "AI Plus" from blueprints on paper into real-world scenarios.
According to a November 3rd message from the "Weixun Jiangsu" public account, the nation's first "Manufacturing Token Loan" has been secured in Jiangsu.
Interpretation: Under the guidance of the Jiangsu Provincial Department of Industry and Information Technology, the nation's first "Manufacturing Token Loan" business under the Bank of Communications financial product has landed in Jiangsu, with the Bank of Communications Jiangsu Branch disbursing two loans on the same day—one directed at a smart production line of an auto parts enterprise, and the other at AI-assisted R&D for a biopharmaceutical company. This represents a precise alignment between financial resources and Jiangsu Province's "6+6" modern industrial system and smart factories, adding another benchmark case for serving Jiangsu's "AI Plus Manufacturing" initiative.
The "Jiangsu Province Manufacturing Enterprise Token Management Reference Guidelines (2026 Edition)" explicitly states that "Token should serve as the measurement link between business demand and physical computing power, achieving the optimal balance among business efficiency, data security, and computing power costs." For manufacturing enterprises, the reason Token can serve as a basis for credit approval and pricing is not because of "high call volume," but because it is the first standardized intermediate measurement unit between industrial intelligence input and output. The "Manufacturing Token Loan" specialized product cross-validates Token usage with industrial indicators such as scenario applications, revenue growth, R&D progress, and order rhythm, using the matching of Token resource consumption with real business value as the core basis for credit limit calculation. The more substantive the calls and the deeper the scenarios, the more sufficient the matching credit limit.
According to the "Lishui Municipal Government Portal," on November 4th, 21 cities launched a cooperation initiative for co-building and sharing high-value "AI Plus" scenarios in the Yangtze River Delta.
Interpretation: This initiative is a powerful measure to accelerate the advancement of AI applications in the Yangtze River Delta from case collection and results display toward supply-demand matching, joint verification, and cross-regional cooperation. The initiative clearly states that under the principles of "joint technology research, co-building of ecosystems, shared scenarios, and joint consultation on rules," it will focus on the real needs of industrial development, urban governance, and livelihood services to build a closed loop of "demand opening—capability matching—joint verification—acceptance and promotion—solution replication," creating a high-value scenario open highland with national influence and global visibility. It aims to make scenario owners willing to open up, technology providers able to deliver, verification results credible, and excellent solutions replicable, pushing high-value scenarios from single-point applications toward cross-regional, cross-domain, and large-scale cooperation, forming verifiable, replicable, and sustainable AI application value, and setting a Yangtze River Delta demonstration for the full implementation of the "AI Plus" action. The initiative proposes six major cooperation areas: co-building through opening real-demand scenarios, promoting cross-city replication through joint verification, facilitating open cooperation through results replication, consolidating the digital foundation through factor coordination, safeguarding governance bottom lines through safety and trustworthiness, and maintaining co-building order through openness and transparency.
According to a November 7th message from the "Zhejiang Release" public account, seven departments in Zhejiang jointly deployed a special AI training initiative.
Interpretation: As a foundational project for building a highland of AI innovation and development, the most notable feature of this initiative is that it excludes no one and sets no thresholds, with seven major projects precisely covering every category of worker. For on-the-job employees in industries susceptible to AI disruption, embedded AI training within positions is being carried out to help workers upgrade their skills and avoid falling behind. The goal is to train over 1 million person-times within three years. For university students, general AI courses, hands-on practical courses, and entrepreneurial实战 tutoring courses are being offered, along with employment recommendation services, striving for "employment upon graduation." The goal is to train over 250,000 person-times within three years. For unemployed youth and youth in new forms of employment, customized training programs are being developed based on individual circumstances, and re-employment youth technician classes are being explored. The goal is to train over 100,000 person-times within three years. For social makers, employment-oriented courses such as AI trainer, prompt engineering, AI e-commerce operations, AI video editing, and embodied robot maintenance are being offered. The goal is to train over 150,000 person-times within three years. AI general education is being comprehensively promoted in technical colleges, with AI-related majors being added. By 2028, the province's technical colleges will offer more than 30 AI-related majors, with 40,000 students enrolled in related majors and 20 AI training bases established. For chief technicians, senior technicians, intangible cultural heritage inheritors, and artisans at all levels, "Industry Plus AI" specialized training is being implemented to promote the transformation of traditional artisans into digital-intelligent artisans. The goal is to train over 5,000 person-times within three years. For rural migrant workers, unemployed persons, veterans, and persons with disabilities facing employment difficulties, free AI public welfare training is being provided, along with skill night schools and holiday classes, establishing "one person, one file" digital profiles for precise job matching. The goal is to train no fewer than 250,000 person-times within three years. The initiative specifies that by the end of 2028, Zhejiang Province will conduct over 2 million person-times of AI special training; cultivate 6,000 digital technology engineers; and cultivate over 100,000 AI skilled talents.
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