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日本人的职场霸凌，感觉太小儿科了_我的网站

巨星秀

一 | “谈到‘霸凌’，我们一般会想到主要以学校为舞台的、欺凌者和受害者均为学生的情况。

Envision Galaxy Campus, the world's largest single AI computing facility by China's green technology company Envision Group, enters into operation in Ulanqab, North China's Inner Mongolia Autonomous Region, on August 6, 2026. Photo: Envision GroupChina's largest artificial intelligence (AI) computing industrial park was completed and put into operation in Ulanqab, North China's Inner Mongolia Autonomous Region on Thursday. Meanwhile, Chinese AI start-up DeepSeek is reportedly also planning a massive AI data center there.
As more Chinese companies choose to stack data centers in a lesser-known city in Northern China, seeking cheaper land, electricity and cooler climate, Chinese industry experts said on Friday that the country's institutional advantages in developing AI are being fully demonstrated, providing solid support for an emerging industry that is continuously promoting welfare globally as an international public good.
China's green technology company Envision Group announced that its Envision Galaxy Campus - a large-scale AI data center (AIDC) - in Ulanqab officially entered operation on Thursday. It is also the single AIDC with the largest token output capacity in the world, Chinese green technology company Envision Group said in a statement sent to the Global Times on Friday.
Envision Group said its Envision Galaxy Campus in Ulanqab, with a planned total capacity of 2 gigawatts, integrates renewable energy, intelligent power management and high-density computing at unprecedented scale.
Envision is not the only Chinese company interested in building an AI data center in Ulanqab.
Recently, Chinese AI start-up DeepSeek posted a job opening for a senior data center operations and maintenance engineer, listing "Ulanqab" as the work location, which analysts said "hinted at a new data center of DeepSeek."
A recent report by Bloomberg also indicated that DeepSeek is also planning a massive AI data center there, citing people familiar with the matter. The report describes the project as "an ambitious move" in computing infrastructure from the start-up that's shown it can compete with the leading AI models of Silicon Valley.
DeepSeek is looking to add 1 gigawatt worth of compute in Ulanqab, about 350 kilometers northwest of Beijing, the report said. The announced and planned AI data centers are the latest addition to more than a dozen firms that have projects planned in the city.
Chinese experts said that these data centers located in Ulanqab, with its cool and dry climate, enjoy a natural advantage in heat dissipation that accounts for a major part of a data center's maintenance. But it is more than that. The city's status as a massive producer of clean energy as well as a hub of China's national computing power network, and a national development blueprint that goes back for years, are behind the companies' decisions, and these factors together are a vivid display of China's institutional advantage.
Unique advantage
Envision told the Global Times that its Envision Galaxy Campus features an area of 120,000 square meters, roughly equivalent to 20 standard football fields, and supports the computing capacity for 1 million graphics processing units (GPUs) in parallel, making it the AIDC with the highest token output capacity globally and setting a new benchmark for compute density in AI infrastructure.
With a purposely built proprietary AI Power System that enables stable, high-efficiency power transmission and energy storage just like a "power expressway and electricity granary", the facility can deliver up to ten times compute output per square meter more than conventional data centers.
Explaining why Ulanqab was chosen as the facility site, Envision said the city is one of the eight digital infrastructure hubs of the national "east data, west computing" project, allowing the center to have minimal latency for online computing tasks - a required feature as the number of GPUs multiplies at AI clusters.
Some 67 percent of the area's electricity is generated from wind and solar, making the base an ideal place to tap green energy, the company noted, adding that it aims to develop 5 gigawatts of green AIDC capacity in desert and arid regions worldwide by 2030.
"Light travels at roughly 300,000 kilometers per second. But when it comes to supercomputing, latency becomes a matter so the physical distance between computing demand and computing capacity becomes a factor to be considered," Ma Jihua, a veteran technology industry analyst, told the Global Times on Friday.
"The AI computing clusters will effectively serve demand generated in Northern China, particular the Beijing-Tianjin-Hebei region, where the digital economy is growing fast," Ma said.
Tian Feng, former dean of SenseTime's Intelligence Industry Research Institute, said that companies' selection of Ulanqab is more than a simple geographic location balancing - it is an act that reflects the underlying shift in companies' site-selection logic, as the compute paradigms shift from storage to training and inference.
To support the synchronous training of a cluster equipped with as much as one million GPUs, Envision needs to build its own wind farms and dedicated transmission lines; this is not merely a matter of "finding a cool spot to house server racks" but rather integrating power system engineering directly into the AI compute infrastructure, Tian told the Global Times on Friday.
"Data centers in the storage era have been passive consumers of the power grid. Now, in the AI training era, they require the grid to be custom-designed for them," Tian said. "This way, the energy company can lock electricity costs at its AI centers within a controllable range, giving it teeth for competition in the upcoming token economy era."
As the next frontier of AI is infrastructure, the cost of computing becomes a company's core competitiveness, Tian said.
By tapping rich renewable energy sources and direct power transmission from wind farm to data center, the electricity price at data centers in Hohhot, provincial capital of Inner Mongolia Autonomous Region and home to another data center cluster, is only one third of that in Beijing, domestic news portal bjnews.com.cn reported in June.
The unfolding story around Ulanqab also highlighted China's institutional strengths.
"The government drew up a plan, laid down the backbone of a national computing power network, and private-sectors companies followed up with their own investment, forming a self-reinforcing positive loop," Ma said.
To underpin AI growth, China's Government Work Report this year unveiled plans to launch new infrastructure projects focused on hyperscale intelligent computing clusters, alongside the coordinated development of computing capacity and power supply, according to the Xinhua News Agency.
Meanwhile, China's robust clean energy infrastructure and aggressive expansion plans for the upcoming five-year cycle are also poised to secure the critical power supply needed to meet the energy-intensive demands of AI computing.
The National Development and Reform Commission, China's top economic planner, said computing power network construction during the 15th Five-Year Plan period (2026-30) will lead to new direct investment of 4 trillion yuan ($592.68 billion), citing estimates by relevant institutions, the Securities Times reported on July 31.
Statistics show that by the first quarter of 2025, the total computing power of the eight data computing hubs of the "east data, west computing" project had reached 215.5 EFLOPS, with intelligent computing power accounting for 80.8 percent, according to Xinhua.
Computing power benefiting world
Yin Hejun, minister of Science and Technology, termed AI, robotics and innovative drugs as China's "new new three" at a recent policy briefing.
Ma said the expanding buildup of Chinese AI infrastructure reflects the strong growth of China's AI-related industries, which have emerged as new drivers of China's export growth, representing China's new core strategic industries and fresh economic growth engines.
As China's AI computing power grows, the country will be more well positioned to handle global demand, as it becomes the world's "token factory" by capitalizing on its energy strengths, Ma noted.
As China's technology exports now extend to digital services, with companies increasingly providing AI algorithms, cloud computing, and digital solutions to overseas markets, analysts said the competitively priced compute power from China will serve the world as an international public good in the emerging "token economy."
"In the future, computing clusters in Northern China will be ideal for handling computing needs generated from the Central Asian and Northeast Asian markets, due to its geographic proximity," Ma said.
Although some Western media outlets have recently targeted China's cost-effective AI products with a flurry of far-fetched skepticism in a bid to curb the growth of China's AI industry, Chinese AI products are already benefiting the world, analysts and industry insiders said.
For instance, Chinese AI company iFLYTEK said that its AI-powered intelligent teaching system has helped expand Chinese language learning worldwide and supported the digital development of Chinese education in overseas markets. The AI-powered intelligent Chinese teaching system has greatly expanded students' practice opportunities: On average, learners now speak Chinese 12 times per session, compared with only twice in regular classes at a Thai school, the company said.
As China embraces the concept of technology for good and inclusive AI to be shared by the whole of mankind, more people in the world will benefit from this trend, analysts noted.
。而说起‘成年人的霸凌’，我们脑海里又会浮现出什么呢？乡下的村落社会、亲戚间的交往、近邻间的交往、PTA（Parent-Teacher Association，家长教师协会）……也许还有人会想到网络社交平台上掀起的对知名人士的攻击。这就告诉我们，即便是成年人之间，也会在各种场所或组织内发生霸凌现象。” 日本学者坂仓升平的这段话，揭示了“霸凌”在社会生活中的无处不在，它绝对不是未成年人的专利，事实上，未成年人的霸凌，正是从成人社会中学习模仿而来。

二 | 坂仓升平在《害怕工作的理由》一书中，试图聚焦于“成年人的霸凌”中的“职场霸凌”。

三 | 他举了一个案例——日本神户市立东须磨小学事件。

四 | 在这起事件中，四名教师以同事中的一名二十几岁的男性教师为主要攻击对象，强迫其吃超辣咖喱、将其关在校内放置杂物的小屋内、以职业摔跤比赛中的招式对其实施攻击等。经调查委员会调查，认定在这起案件中有多达125种欺凌行为。坂仓升平列举了调查报告中记录的一部分欺凌行为：对受害教师使用“渣滓、废物、滚、去死、恶心、无用的家伙、蠢货、粪便、秃子”之类的辱骂词汇。用胶带捆绑受害教师并弃之于教室不管。将其关在校舍屋顶杂物间的二楼或体育馆中。在受害教师的包内放入空瓶、冰块，在其桌子上放置垃圾、冰块等。在安全防范培训时，不顾受害教师的疼痛，依然对其施加关节技（柔道中的招式之一）。另一天，则对其施加摔投技（Giant Swing，职业摔跤比赛中的招式）。在清扫泳池时，抓住受害教师的手脚将其扔进泳池。在体育用品仓库内，用黏合剂或者洗衣物用的上浆剂涂满受害教师的头发和衣服，并“这样才帅气”等。在烧烤聚会时，让受害教师喝下超辣酱汁。在家庭课教室中举办“超辣咖喱会”，将超辣咖喱涂抹在受害教师的嘴唇上和眼睛下面，并令其吃下超辣咖喱。在第二次“超辣咖喱会”中，甚至反剪其双臂，用勺子强行喂食超辣咖喱。随意输入密码，导致受害教师无法打开自己的手机。 …… 坂仓升平认为，这一案例虽然典型，但绝非孤例。

五 | 在日本职场中，存在大量霸凌行为，只是程度有所差异。在该事件的调查报告中，对霸凌行为的出现有一系列分析，将加害教师的个人素质、作为管理者的现任校长及前任校长的责任、学校独特风气、外部咨询服务窗口的缺失、霸凌问题的相关培训不充分等都列为原因。

六 | 而坂仓升平最为注意的一条原因，是“教师工作繁忙”。

七 | 工作过于繁忙，长时间超负荷劳动，使得教师压力巨大，每个人都在无意中寻求发泄压力的出口。这种职场机制被坂仓升平视为职场霸凌产生的重要背景，而且不仅仅出现在这家学校，而是普遍存在于日本社会。根据日本厚生劳动省相关统计，“霸凌/骚扰”相关咨询在劳动类咨询中已连续9年位列第一。2020年的数据显示，该类咨询共计79190件，比位居第二的“自身原因辞职”（39498件）和位居第三的“解雇”（37826件）加起来还要多。

八 | 而且，这一数据已剔除“大型企业职场中的职权骚扰”相关咨询18363件。

九 | 相比之下，2011年的霸凌和骚扰咨询数量合计也只有45939件，换言之，十年时间实现了成倍增长。坂仓升平在总结了多年来介入职场霸凌案例的经验后，认为日本“还存在职场环境导致劳动者的精神发生巨大变化，以及某人既是霸凌的受害者同时又是霸凌的加害者的案例。”而且，“很多情况下，职场霸凌是由于与员工的身心健康和工作质量相比，公司更优先考虑短期利益，以及让员工变得更加服从。”坂仓升平将这种现象称为“经营服从型霸凌”。职场霸凌的增多，与经济下行关系很大。在经济上行期，人们的选择机会更多，“东家不打打西家”可以实现，这就使得霸凌很难长时间持续，被霸凌者往往有机会也有底气选择离开。但经济泡沫破灭后，日本企业用工逻辑出现变化，传统式的“年功序列”“终身雇用”制度日渐式微。企业不再需要为长期培养员工而花费心思，开始大量招募新人，形成买方市场。雇主自然会通过糟糕的劳动条件筛选员工，要求员工尽可能长时间廉价工作，最终留下那些能忍受长时间劳动和无偿加班的人。《害怕工作的理由》分析了职场霸凌的种种形态，它有可能是个人行为、小团体行为，也有可能是雇主行为。除了人身攻击、身体暴力、精神虐待之外，还有人际关系切断（社交排斥），在工作层面则有过度要求（不可能完成的任务）和过低要求（大量无意义的工作），此外还有隐私侵犯（个人信息的过度监控）。很多时候，个人行为的霸凌会得到企业默许甚至纵容，这成为了一种“管理手段”。中国职场人读这本书，感受会更为深刻，甚至有可能觉得日本职场的霸凌太过小儿科，自己则经历了书中所有“霸凌项目”。比如隐私侵犯和大量无意义的工作，在我们职场简直是家常便饭。