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

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    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.
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二 |     冀时新闻报道 是钢铁大省。

三 | 立足产业基础，省不断推动钢铁产业高端化、智能化、绿色化转型，培育形成了10个拳头产品，加快从原料级向材料级转变。今天起，本台推出系列报道《钢铁"焕新"记》，探寻钢铁拳头产品"含新量""含金量"持续攀升的创新路径。

四 | 首篇一起认识稀土耐蚀钢，看稀土赋能，如何让钢铁自带"防锈铠甲"。本台记者 杨晨曦：大家有没有想过一个问题：生锈，对于户外钢材来说一定是一件坏事吗？普通钢材风吹日晒，一旦生锈腐蚀，不仅寿命会缩短，后期的维护成本也会大大增加。但大家看我身后这座刚刚建成的通信铁塔，既没有镀锌，也没有刷漆！它的表面虽然看着有一层锈，但这层锈反而是一层"保护膜"，可以实现"以锈防锈"。使用寿命可以达到50年，且终身免维护。

五 | 它采用的，正是我们的创新材料——稀土耐蚀钢。钢铁腐蚀，一直是基建领域绕不开的"老大难"。针对这一技术难题和市场空白，秦皇岛佰工钢铁与上海大学董瀚教授团队联合攻关，在国内首创多元合金协同技术与稀土微合金化工艺，研发并量产了稀土耐蚀钢这一特种钢材，走出了一条与众不同的防腐新路径。通过在钢材中添加微量镧、铈稀土元素，在钢材表面催生一层致密的钝化锈层，进而隔绝水和氧气的侵蚀，实现了钢材长效防护。

六 | 秦皇岛佰工钢铁有限公司技术中心主任 张维军：我们的这款产品性能十分突出，它的耐腐蚀性是传统钢材的2-3倍，在室外使用寿命达到2倍以上。另外它的防腐成本由500-1500块钱降到了200-500元左右，能起到提质、降本、减碳的作用，可以说是一举三得。稀土，在大众认知里，是稀缺的战略资源，身价不菲。加入稀土，怎么能做出"更省钱的钢材"？这背后，藏着一个"变废为宝"的巧思。上海大学（浙江）高端装备基础件材料研究院院长 董瀚：稀土一共17个元素，它不是每个元素都很珍贵，现在比较贵的元素是用作功能材料这些元素，把这些元素提取完了剩下的就是这种镧、铈、钇这种稀土（元素），大量富余，实际上堆积如山，（也是）资源合理利用。富余的镧、铈稀土，供应充足，但要实现它与钢水的完美融合，还要跨过一道技术难关。

七 | 上海大学（浙江）高端装备基础件材料研究院院长 董瀚：稀土特别有意思，它是很大的原子，而且稀土它很活泼，你加热方法不对或者是控制不太好，收得率可能很低很低，你收得率低意味着什么？都变成夹杂物了。

八 | 那么，如何才能破解"收得率"难题，让稀土元素稳定存在于钢水中呢？秦皇岛佰工钢铁有限公司技术中心主任 张维军：要使它在钢中稳定存在，就需要在钢水里边给它（稀土元素）创造一个稳定存在的环境，比如说控制钢中的氧含量、硫含量（等）各种能和它反应的化学元素都要控制含量，这样的话它加入钢水里边没有污染源，没有和它反应的一些东西。面对"稀土收得率"这一核心痛点，秦皇岛佰工团队与上海大学董瀚教授团队，经过反复试验与工艺优化，彻底打通了从实验室配方到工业化量产的一系列难题。秦皇岛佰工钢铁有限公司总经理 迪林：上海大学发挥他们在研发、在测试方面的优势，我们发挥在生产和应用方面的优势，通过双方的技术合作，突破了稀土合金收得率的这个行业难题，从原来的30%-40%，现在可以提高到85%以上。这一技术路线的打通，不仅显著提升了稀土的利用率与稳定性，也为稀土耐蚀钢规模化量产铺平了道路。秦皇岛佰工钢铁有限公司总经理 迪林：目前，佰工的稀土耐蚀钢的年产能可以达到140万吨以上，包括应用到光伏、交通运输、电力、通讯铁塔等各个领域。产能上来了，市场空间究竟有多大？据测算，全国每年有7000万吨镀锌防腐钢材，其中80%可被稀土耐蚀钢替代。目前，省已形成秦皇岛、邯郸两个生产基地，累计产销量已达25万吨。不仅为海量普钢的升级打开了全新赛道，更形成了完整的产业闭环。省工信厅钢铁工业处处长 张晓辉：稀土耐蚀钢是传统材料迭代升级的典型代表。

九 | 下一步，我们计划推动更多标准转化成行业的设计依据，在交通、能源、通讯等领域打造应用的示范标杆，全力攻关技术、拓展市场。中国钢铁工业协会党委书记、副会长兼秘书长 姜维：从全国视角来看，正在成为稀土耐蚀钢这个产品技术研发、标准构建、场景落地、规模化推广应用的首发地、样板地，正是因为模式，2026年1月，中钢协组织在行业成立了以三名院士为组长的稀土耐蚀钢推广应用工作组，而且在全国范围内广泛推广经验。

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