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今年前7个月山东经济运行总体平稳,新增就业80.0万人_我的网站

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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.
。 据山东省统计局、国家统计局山东调查总队8月24日发布消息:今年前7个月,我省坚持稳中求进、提质增效,全力以赴稳经济、增动能、激活力,全省经济持续稳健向好、进中提质、承压前行。 生产供给平稳增长 工业实现较快增长 1-7月,规模以上工业增加值同比增长7.2%。从三大门类看,采矿业增加值同比下降3.4%,制造业增长8.7%,电力、热力、燃气及水的生产和供应业增长3.7%。从行业增长面看,全省41个行业中有32个实现增长,增长面为78.0%。服务业运行稳健。1-6月,规模以上服务业企业营业收入同比增长5.6%。10大行业门类全部实现增长,其中,居民服务修理和其他服务业、租赁和商务服务业营业收入分别增长12.3%、9.0%。 市场需求有序释放 投资质效总体稳固 1-7月,固定资产投资同比下降14.6%。其中,第一产业投资增长7.9%,第二产业投资下降9.0%,第三产业投资下降20.1%。消费市场稳中向好。1-7月,社会消费品零售总额同比增长2.7%。其中,限额以上零售额增长1.3%。限额以上单位粮油食品类、服装鞋帽针纺织品类、家用电器和音像器材类零售额分别增长5.4%、4.4%、1.6%。
图为山东港口日照港
进出口规模持续扩大。1-7月,实现进出口总额21244.2亿元,同比增长4.3%。其中,出口增长1.8%;进口增长8.1%。对共建“一带一路”国家进出口1.36万亿元,增长3.8%,占进出口总值的64%。 新动能支撑有力 工业动能向新明显
1-7月,规模以上装备制造业增加值同比增长11.5%,高技术制造业增加值增长12.9%,分别高于全部规上工业增速4.3、5.7个百分点。工业机器人、半导体分立器件产量分别增长78.0%、23.0%。消费新业态发展良好。1-7月,限额以上单位通过公共网络实现的零售额1587.9亿元,增长25.1%,高于全部限上零售额增速23.8个百分点。 经济运行韧性显现 财政金融保障有力
1-7月,全省实现一般公共预算收入5240.1亿元,同比增长1.8%。
B | 一般公共预算支出7206.9亿元,下降1.3%。截至7月末,全省本外币存款余额增长7.6%,贷款余额增长7.2%。其中,企(事)业单位贷款增长11.5%。

C | 民营经济活力充沛。

D | 1-7月,民营企业实现进出口1.63万亿元,增长5.3%,占全省进出口总额的76.8%。 民生保障持续加强 就业形势总体稳定 1-7月,全省城镇新增就业80.0万人,增长5.7%。物价运行保持平稳。

E | 1-7月,全省居民消费价格(CPI)同比上涨0.5%,比1-6月回落0.1个百分点。分类别看,食品烟酒及在外餐饮价格下降0.5%,生活用品及服务价格上涨1.9%,教育文化娱乐价格下降0.2%,衣着类价格上涨0.6%,交通通信价格上涨0.8%,医疗保健类价格上涨0.3%。其中,7月份下降0.1%。民生领域保障有力。1-7月,卫生健康支出增长13.3%,社会保障和就业支出增长3.3%。
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