Sheikh Mansour bin Zayed has overseen a digital currency payment between the UAE and China. The transfer used the ‘mBridge’ central bank digital currency platform to settle funds directly. Officials say the move marks the formal launch of ‘mBridge’ for cross-border payments.
New links have been established between the UAE Instant Payment System and China’s internet banking payment platform. Users can securely send clock transfers for study, remittances and trade. Officials expect faster payments to deepen economic ties and modernise cross-border settlement channels.
Ceremonies in Abu Dhabi also launched the first ‘Jaywan-UnionPay’ multi-scheme prepaid card. The product links Jaywan’s domestic network with UnionPay’s global acceptance in more than 180 countries.
Transactions inside the UAE are processed locally, while overseas spending routes through UnionPay’s international infrastructure. Officials say the projects highlight partnerships between the UAE and China and strengthen the Emirates’ role in digital finance.
Sheikh Mansour and Pan Gongsheng also signed a memorandum on future cross-border payment cooperation. Further expansion of the ‘mBridge‘ network and domestic Digital Dirham pilots is planned from 2026.
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The Dutch government has paused its intervention in chipmaker Nexperia after officials described promising diplomatic progress with China, easing a months-long standoff that had disrupted global supply chains. The suspension follows talks in which Beijing began relaxing export limits it had imposed on Nexperia’s finished chips, restrictions that had deepened shortages for major carmakers including BMW, Honda, Nissan, Volkswagen, and Bosch.
The dispute began in September when the Netherlands seized control of Nexperia from its Chinese owner Wingtech, invoking the Goods Availability Act, a Cold War-era law that had never been used before. Dutch authorities stated that the takeover was necessary to safeguard national security and prevent Wingtech founder Zhang Xuezheng from relocating production to China, citing allegations of mismanagement and attempts to undermine European operations.
Beijing retaliated by restricting chip exports, while management on both sides blocked shipments and orders amid a worsening internal corporate conflict.
Economy Minister Vincent Karremans stated that the government was encouraged by China’s efforts to restore chip supplies and would continue negotiations alongside European and international partners. The EU trade chief Maroš Šefčovič and several major automakers welcomed the announcement, though industry leaders cautioned that it remains too early to predict how quickly supply chains will stabilise.
With the Chinese side now selling stockpiled chips to ease shortages and the European side planning its response, the easing of tensions marks a temporary reprieve in a dispute that highlighted the fragility of Europe’s semiconductor dependencies and the geopolitical risks tied to them.
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Chinese cyberspace authorities announced a crackdown on AI deepfakes impersonating public figures in livestream shopping. Regulators said platforms have removed thousands of posts and sanctioned numerous accounts for misleading users.
Officials urged platforms to conduct cleanups and hold marketers accountable for deceptive promotions. Reported actions include removing over 8,700 items and dealing with more than 11,000 impersonation accounts.
Measures build on wider campaigns against AI misuse, including rules targeting deep synthesis and labelling obligations. Earlier efforts focused on curbing rumours, impersonation and harmful content across short videos and e-commerce.
Chinese authorities pledged a continued high-pressure stance to safeguard consumers and protect celebrity likenesses online. Platforms risk penalties if complaint handling and takedowns fail to deter repeat infringements in livestream commerce.
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In a strategic move aligned with national technology ambitions, Baidu announced two newly developed AI chips, the M100 and the M300, at its annual developer and client event.
The M100, designed by Baidu’s chip subsidiary Kunlunxin Technology, targets inference efficiency for large models using mixture-of-experts techniques, while the M300 is engineered for training very large multimodal models comprising trillions of parameters.
The M100 is slated for release in early 2026 and the M300 in 2027, according to Baidu, which claims they will deliver ‘powerful, low-cost and controllable AI computing power’ to support China’s drive for technological self-sufficiency.
Baidu also revealed plans for clustered architectures such as the Tianchi256 stack in the first half of 2026 and the Tianchi512 in the second half of 2026, intended to boost inference capacity through large-scale interconnects of chips.
This announcement illustrates how China’s tech ecosystem is accelerating efforts to reduce dependence on foreign silicon, particularly amid export controls and geopolitical tensions. Domestically-designed AI processors from Baidu and other firms such as Huawei Technologies, Cambricon Technologies and Biren Technology are increasingly positioned to substitute for western hardware platforms.
From a policy and digital diplomacy perspective, the development raises questions about the global semiconductor supply chain, standards of compute sovereignty and how AI-hardware competition may reshape power dynamics.
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Alibaba is preparing a major overhaul of its mobile AI apps, renaming Tongyi as Qwen and adding early agentic features. The update aims to make Qwen resemble leading chatbots while linking AI tools to Taobao and other services. Alibaba also plans a global version once the new design stabilises.
Over one hundred developers are working on the project as part of wider AI investments. Alibaba hopes Qwen can anchor its consumer AI strategy and regain momentum in a crowded market. It still trails Doubao and Yuanbao in user popularity and needs a clearer consumer path.
Monetisation remains difficult in China because consumers rarely pay for digital services. Alibaba thinks shopping features will boost adoption by linking AI directly to e-commerce use. Qwen will stay free for now, allowing the company to scale its user base before adding paid options.
Alibaba wants to streamline its overlapping apps by directing users to one unified Qwen interface. Consolidation is meant to strengthen brand visibility and remove confusion around different versions. A single app could help Alibaba stand out as Chinese firms race to deploy agentic AI.
Chinese and US companies continue to expand spending on frontier AI models, cloud infrastructure, and agent tools. Alibaba reported strong cloud growth and rising demand for AI products in its latest quarter. The Qwen relaunch is its largest attempt to turn technical progress into a viable consumer business.
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Nvidia CEO Jensen Huang said China is ‘nanoseconds’ behind the US in AI and urged Washington to lead by accelerating innovation and courting developers globally. He argued that excluding China would weaken the reach of US technology and risk splintering the ecosystem into incompatible stacks.
Huang’s remarks came amid ongoing export controls that bar Nvidia’s most advanced processors from the Chinese market. He acknowledged national security concerns but cautioned that strict limits can slow the spread of American tools that underpin AI research, deployment, and scaling.
Hardware remains central, Huang said, citing advanced accelerators and data-centre capacity as the substrate for training frontier models. Yet diffusion matters: widespread adoption of US platforms by global developers amplifies influence, reduces fragmentation, and accelerates innovation.
With sales of top-end chips restricted, Huang warned that Chinese firms will continue to innovate on domestic alternatives, increasing the likelihood of parallel systems. He called for policies that enable US leadership while preserving channels to the developer community in China.
Huang framed the objective as keeping America ahead, maintaining the world’s reliance on an American tech stack, and avoiding strategies that would push away half the world’s AI talent.
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Large language models (LLMs) are increasingly used to grade, hire, and moderate text. UZH research shows that evaluations shift when participants are told who wrote identical text, revealing source bias. Agreement stayed high only when authorship was hidden.
When told a human or another AI wrote it, agreement fell, and biases surfaced. The strongest was anti-Chinese across all models, including a model from China, with sharp drops even for well-reasoned arguments.
AI models also preferred ‘human-written’ over ‘AI-written’, showing scepticism toward machine-authored text. Such identity-triggered bias risks unfair outcomes in moderation, reviewing, hiring, and newsroom workflows.
Researchers recommend identity-blind prompts, A/B checks with and without source cues, structured rubrics focused on evidence and logic, and human oversight for consequential decisions.
They call for governance standards: disclose evaluation settings, test for bias across demographics and nationalities, and set guardrails before sensitive deployments. Transparency on prompts, model versions, and calibration is essential.
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An escalating tech clash has emerged between ByteDance and Anthropic over AI access and service restrictions. ByteDance has halted use of Anthropic’s Claude model on its infrastructure after the US firm imposed access limitations for Chinese users.
The suspension follows Anthropic’s move to restrict China-linked deployments and aligns with broader geopolitical tensions in the AI sector. ByteDance reportedly said it would now rely on domestic alternatives, signalling a strategic pivot away from western-based AI models.
Industry watchers view the dispute as a marker of how major tech firms are navigating export controls, national security concerns and sovereignty in AI. Observers warn the rift may prompt accelerated investment in home-grown AI ecosystems by Chinese companies.
While neither company has detailed all operational impacts, the episode highlights AI’s fraught position at the intersection of technology and geopolitics. US market reaction may hinge on whether other firms follow suit or partnerships are redefined around regional access.
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China’s Unitree Robotics has introduced advanced firefighting robots designed to revolutionise fire rescue operations. These quadruped robots can climb stairs, navigate through debris, and operate in hazardous zones where human firefighters face significant risks.
Equipped with durable structures and agile joints, they are capable of handling extreme fire environments, including forest and industrial fires. Each robot features a high-capacity water or foam cannon capable of reaching up to 60 metres, alongside real-time video streaming for remote assessment and control.
That combination allows fire rescue teams to fight fires more safely and efficiently, while navigating complex and dangerous terrain. The robots’ mobility enhancements, offering approximately 170 % improved joint performance, ensure they can tackle steep angles and obstacles with ease.
By integrating these robotic fire responders into emergency services, Unitree is helping fire departments reduce risk, accelerate response times, and expand operational capabilities. These innovations mark a new era in fire rescue, where technology supports frontline teams in saving lives and protecting property.
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AI export policy in Washington remains firm, with officials saying the most advanced Nvidia Blackwell chips will not be sold to China. A White House spokesperson confirmed the stance during a briefing. The position follows weeks of speculation about scaled-down variants.
Senior economic officials floated the possibility of a shift later, citing the rapid pace of chip development. If Blackwell quickly becomes superseded, future sales could be reconsidered. Any change would depend on achieving parity in technology, licensing, and national security assessments.
Nvidia’s chief executive signalled hope that parts for Blackwell family products could be supplied from China, while noting there are no current plans to do so. Company guidance emphasises both commercial and research applications. Analysts say licensing clarity will dictate data centre buildouts and training roadmaps.
Policy hawks argue that cutting-edge accelerators should remain in US allied markets to protect strategic advantages. Others counter that export channels can be reopened once hardware is no longer state-of-the-art. The debate now centres on timelines measured in product cycles.
Diplomatic calendars may influence further discussions, with potential leader-level meetings next year alongside major international gatherings. Officials portrayed the broader bilateral relationship as steadier. The industry will track any signals that link geopolitical dialogue to chip export regulations.
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