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

一 |     

    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 | 1月14日，国家发改委副主任连伟亮在接受中央电视台财经记者采访时表示，根据中央电视台官方微博，他已披露了今年中国重点投资方向。国家发改委副主任连伟亮表示，将围绕“建设与改造”这两个关键词加大投资力度。

三 | 建设包括五个方面：1。加强新基础设施建设，推进人工智能、工业互联网、物联网等建设，加快5G商用步伐；加强城乡基础设施建设，推进市政物流基础设施建设，加快5G商业基础设施建设。加强能源、交通、水利等重大基础设施建设；加强民生和公共服务能力建设，促进养老、卫生、教育投资；加强生态环境保护和自然灾害防治能力建设。

四 | “改造”是指增加制造业的技术改造和设备更新。另一个关键词是“转型”，连伟亮在接受采访时表示，“转型”是为了增加制造业的技术改造和设备更新。针对“促进国内消费升级”，连伟亮表示，政策措施主要包括三个方面：一是加强消费能力，重点落实社会保障和收入分配制度及相关改革措施，减轻居民负担，实施专项扣除。个人所得税政策，实施消费财政扶持措施；二是引导消费，重点增加优质生产。

五 | 加快商品和服务供应，弥补人民急需的教育、养老、医疗、卫生、家政、育儿等方面的不足。三是优化消费环境，重点加强产品和服务质量监督，加强消费领域信用体系建设，大力营造安全放心的消费环境。

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Published on:16:05:19