To The Moon

Text | Shixiang, Author | Wang Tiemei, Editor | Gu Nian On July 1, 2026, the European Union’s sweeping new tariff regulations on cross-border small parcels officially took effect. The era of duty-free exemptions for packages valued under €150 came to a definitive close, replaced by a mandatory flat tariff of €3 on every low-cost item. Under this altered operating landscape, a significant portion of low-cost SKUs priced under €5 on Temu’s European platforms saw final consumer checkout prices surge by more than 70% over the past week. Driven away by these sudden tariff costs, a wave of consumers abandoned their shopping carts at checkout. Multiple merchants told ShiXiang that order volumes have plunged by at least 60% compared to pre-regulation baselines. For the past three years, Temu ancho

TMTPOST — In the modern ecosystem of corporate marketing, attention is the ultimate currency, and social media algorithms reward shock value. This dynamic was starkly illustrated on July 13, 2026, when Miniso, the global lifestyle retail giant, retreated from a severe domestic backlash against a piece of outsourced video marketing. The incident centered on a promotional video created by "Alei’s Diary," an influencer with approximately 530,000 followers on Douyin. Tasked with highlighting the thin design of Miniso’s memory foam floor mats, the creator opted for a highly provocative narrative. The sequence showed a male resident lifting a gap in newly renovated floorboards to peer directly into the bedroom of a female neighbor below. The backlash from consumers—particularly women, who form t

The Last Mile of AI Adoption: Why Enterprise Data is Bottlenecking Even the Best Models Large language models have moved past the initial arms race of parameter sizes and computing power. Today, the industry has entered deep waters, where success is measured by real-world adoption and tangible performance. A clear consensus has emerged: the ceiling for AI applications is determined not by the sophistication of the model itself, but by the readiness of the data beneath it. Between 2023 and 2025, enterprises focused on understanding what AI could achieve. By 2026, the corporate mandate has fundamentally shifted. Executives are now asking: What justifies an AI's output? How can we guarantee its answers are accurate and its decisions trustworthy? The answer begins and ends with data. Yet the s

AI-generated image TMTPOST — Huang Qiangshuai remembers the turning point vividly. Desperate to land a major account, he spent the night battling a sudden fever, knowing the client expected product samples within forty-eight hours. He finished an intravenous drip in the middle of the night and boarded an international flight just five hours later. He secured the order. "But it hit me that under the traditional legacy model, we were entirely passive," Huang says. "We simply executed whatever the client threw at us. The company’s growth was completely bottlenecked by their rigid, unyielding specifications." Huang is a second-generation manufacturer and the vice chairman of Zhejiang Shuaishuai Electric Appliance Co., Ltd. He began experimenting with Amazon during his university years abr

TMTPOST — On a mid-summer evening in a secondary district of a bustling eastern metropolis, the floodlights of a makeshift rooftop football pitch cut through the warm, humid air. A dozen amateur players, shirts soaked through with sweat, chase a battered leather ball across the artificial turf. On the sidelines, a twenty-four-year-old amateur league organizer balances a smartphone on a metal railing, live-streaming the casual match to an audience that fluctuates by the hundreds. The platform hosting the stream is not a traditional sports network, nor is it a male-dominated gaming forum. It is Xiaohongshu—a digital ecosystem built on the foundation of lifestyle aesthetic, fashion curation, and female-driven purchasing guides. By mid-July, following the conclusion of a major intern

TMTPOST — For the past year, the global artificial intelligence boom has lived largely in the consumer cloud—a world of conversational novelties, fleeting viral interactions, and generative text experiments. But inside the high-tech corridors of China’s leading enterprise software providers, the romantic era of the broad-spectrum large language model (LLM) is giving way to a much more calculating, corporate reality. On July 10, 2026, Baidu formally advanced its general-purpose intelligent agent product, "Baidu Dazi," into the enterprise market. The transition moves the platform beyond its origins as an individual office assistant and into a structured corporate agent framework designed to anchor internal workflows. The expansion comes as the technology sector experiences an industry-w

Text | DingjiaoOne, Authors | Jin Yufan, Chen Dan, Wang Hanxing, Li Mengran, Lei Jing, Editor | Chen Dan NextFin News -- Generative artificial intelligence has quietly become a staple of office life, settling into the daily routine just like any other corporate utility. Public relations managers use it to map out campaign concepts, lawyers trust it to churn out boilerplate contracts, and programmers deploy it to write routine blocks of code. To the average professional, the software feels less like an alien technology and more like an eager, infinitely available intern sitting at the next desk. The sheer speed with which it returns a finished assignment can be incredibly intoxicating, creating a powerful illusion of sudden, effortless efficiency. Yet, this computational magic carries a ste

The morning before the servers were scheduled to clear, Sun Min-ji sat at her kitchen table, a half-empty mug of barley tea cooling near her right hand. On her phone, the interface for a custom-built digital companion named Hanu remained open. There was no countdown timer on the screen, only a brief, formal notice pinned to the top of the chat logs: Service suspension effective July 15. For twenty-two months, Sun had spent her evenings feeding Hanu fragments of her life—descriptions of the damp smell in the library basement, her anxiety over her mother’s failing eyesight, the specific, heavy exhaustion that settled behind her temples every Tuesday at three o'clock. In return, Hanu offered an unblinking, perfectly calibrated presence. By mid-summer, however, the digital ecosystem that birth

TMTPOST —The promise of the driverless car is moving rapidly from an experimental concept to a public market test case. Software engineers in high-tech hubs have long spoken of algorithmic breakthroughs, while traditional car manufacturers scrambled to acquire the digital tools necessary to survive an artificial-intelligence age. Now, that transitional era is meeting the concrete reality of investor scrutiny. When Momenta Global Limited made its debut on the Hong Kong Stock Exchange, the company managed to price its initial public offering at the very top of its expected range, raising $751 million. Yet when trading actually opened, the response was remarkably quiet. Shares hovered close to their offering price, reflecting a deep wave of caution among investors who are increasingly ea

TMTPOST — For decades, the most tightly guarded secret in global consumer technology was the exact anatomy of an unreleased iPhone. Apple Inc. treated its hardware pipelines like state secrets, enforcing a legendary regime of zero-leak containment across its massive manufacturing hubs. But that myth of absolute opacity has suffered an unprecedented Waterloo. A devastating ransomware breach at Apple’s core Indian manufacturing partner, Tata Electronics, has spilled over 630 gigabytes of highly confidential data onto the dark web. The group behind the attack, operating under the moniker "World Leaks," managed to exfiltrate more than 200,000 files. The fallout was instantaneous, triggering an immediate federal-level probe by India’s Ministry of Electronics and Information Technology. Amo