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GT Voice: Bridging digital gap to be decisive factor in global AI competition_我的网站

一 |     日前航拍的沧州临港经济技术开发区。高宁摄在沧州，石油化工、煤化工、盐化工作为化工产业“三兄弟”，曾各自为战、独立发展。    

    Conceptual diagram of AI Photo: VCG
In a report released on Tuesday, the World Bank made an optimistic assessment that artificial intelligence (AI) could allow developing countries to do in a decade what might otherwise take a century. The report found that AI will throw developing economies a lifeline, and that the technology's greatest promise for developing countries lies not in replacing workers, but in amplifying what they can do.
While advanced economies are still debating whether AI will wipe out white-collar jobs, this report serves as a critical reminder that AI is not merely a force that replaces human labor. More importantly, it acts as an amplifier that unlocks growth potential.
For years, many assumed that AI penetration would primarily erode low- and mid-skilled jobs and widen development gaps among economies. Yet for most developing countries still undergoing digital transformation, AI represents far more than a choice between automation and human labor. It provides a cost-effective shortcut to remedy decades of digital infrastructure shortcomings. 
Many digital capabilities that once required massive capital investment, systematic infrastructure development and professional talent training can now be realized through open-weight AI tools. This dramatic reduction in technological barriers offers developing countries a rare chance to leapfrog stages of technological iteration and catch up with global development trends.
In China, this "amplification effect" is unfolding in various ways. Over the past few years, new professions built around human-AI collaboration have kept emerging, while the skill sets required for traditional jobs are evolving at a rapid pace. 
What matters even more is that China's unique AI development path carries special reference value for other developing countries. China has already integrated AI on a massive scale into core real-life scenarios spanning manufacturing, agriculture, healthcare and education, while continuously driving down the cost of access. 
According to CNBC, Chinese built AI models are gaining ground, and they are gaining traction as they narrow the performance gap with leading American rivals while remaining significantly cheaper to use. This model provides the most practical, accessible entry point for developing economies stepping into the AI era, rather than forcing them to chase unattainable, high-end technical standards that are out of their financial and operational reach.
With the rise of Chinese open-source and open-weight models, AI competition between China and the US has become a hot topic in the global technology landscape. Some in the West often frame this as a technological power tussle between two major countries, measured by model parameters, financing scale and semiconductor manufacturing precision. While such indicators reflect technological advancement, one shouldn't overlook the far more fundamental purpose of technology. The ultimate value of any technology lies in its ability to address shared global challenges and deliver tangible public benefits.
Many developing regions are still in the very early stages of digital transformation. Truly meaningful, impactful AI capability is never cutting-edge technology locked away in a laboratory. It is technology that can step out of the lab, root itself in local realities, and deliver inclusive, accessible solutions that help these countries cross the threshold of digital infrastructure at minimal cost. It is about bringing open-weight, user-friendly AI tools into the hands of ordinary people and companies.
When more developing economies are able to use AI as a lever to bridge their long-standing development gaps, the global digital divide will not be further widened by this new round of technological revolution. Instead, it will be gradually narrowed for the first time in decades. From this perspective, the outcome of global AI competition will not be determined by which country first reaches the ceiling of technological sophistication. The real decisive factor is which country can extend technological benefits to the broadest population groups and leverage AI to drive inclusive global growth.
。如今，在沧州绿色化工产业布局中，通过原料互补、副产品资源化，它们变成产业链上紧密合作的“合伙人”。8月16日，沧州临港金诚化工有限责任公司中控室智慧大屏上，年产16万吨离子膜烧碱装置的数据实时跳动。“作为典型的盐化工企业，我们把海盐送入车间电解槽，产出烧碱、氯气和氢气。”该公司副总经理白海臣说，过去，氢气因不便储存运输，只能当作废气放空，氯气也难以就近消化。面对这一难题，沧州临港经济技术开发区转变思路，围绕金诚化工的副产品进行链式招商，于2022年引进先正新材料公司、科迈新材料公司、晋邦新材料公司三家化工新材料企业，推进当地石油化工产业链向下游延伸。如今，金诚化工的副产品顺着园区的工业管廊找到归宿：纯度99.9%的氢气直送1公里外的科迈新材料公司，用于生产橡胶防老剂，年利用量约1500万标方；氯气供给先正新材料公司，生产环保增塑剂；晋邦新材料公司则同时“吃”进金诚化工的液碱和先正新材料公司的氯化氢，用于生产环氧氯丙烷。

二 | 四家企业抱团发展，一年节约成本1.82亿元，创造经济效益1.3亿元。在沧州临港经济技术开发区，不仅有盐化工与石油化工的循环，更有煤化工与盐化工、石油化工的循环。作为园区煤化工的源头，正元氢能科技有限公司通过煤气化项目生产液氨、尿素，同时副产大量氢气。该公司的液氨依托园区短距离槽罐车，供给园区内的华茂伟业公司开展精细化工合成；煤化工基础原料服务园区盐化工下游精深加工企业；副产的氢气交由欣国氢能公司提纯处理后，供给建新化工、瀛海香料、华茂伟业等10余家企业，广泛用于石油化工下游企业的精细化工生产和氢能综合利用。“作为国家循环化改造示范试点园区，我们秉持绿色化工发展理念，推动石油化工、煤化工、盐化工融合发展，打造循环经济产业链条，促进资源节约集约循环利用。”沧州临港经济技术开发区循环经济促进中心主任张蕾说，目前，园区内200余家化工企业产业关联度达86%。产业抱团，顶层设计是牵引。

三 | 近年来，沧州市围绕绿色化工产业，相继出台高质量发展实施方案、重点工作清单等文件，整合临港五大化工园区，实现机制打通、设施联通、规划一张网、产业一张图，加快“大临港”园区耦合发展。

四 | 同时，加快跨园区公共管廊、储罐区建设，“港口—铁路—管廊”多式联运体系建设。各园区依据功能定位精准招商、错位发展，避免同质竞争。沧州石油化工、煤化工、盐化工企业正在深度融合中实现快速发展。今年上半年，沧州绿色化工产业营业收入达1078.8亿元，占全市规上工业营收的39.9%。（日报记者 戴绍志）。

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