Chinese AI Race Heats Up for New Year

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China’s artificial intelligence sector is entering a new phase of competition as major tech firms unveil new models during the Lunar New Year period.

A year after DeepSeek disrupted the global industry with its powerful R1 and V3 models, rivals are accelerating development to avoid being overshadowed again.

DeepSeek is expected to introduce its next-generation V4 model soon. The company has already expanded its chatbot’s memory capacity dramatically, allowing it to process far larger volumes of information in a single task.

Other companies are moving quickly. ByteDance launched its Doubao 2.0 chatbot and Seedance 2.0 video-generation system, both designed for complex multi-step tasks. Alibaba is preparing its Qwen 3.5 model, while Zhipu introduced the open-source GLM-5 with stronger coding abilities.

Tencent has released a compact AI model optimized for consumer devices, and iFlytek unveiled Spark X2, trained entirely using domestic chips. NetEase Youdao and Dexmal also launched agent-based systems focused on automation and robotics.

Many of these tools aim to support the emerging “agent era”, where AI systems perform real-world tasks rather than simply generating responses.

The rapid wave of releases highlights China’s push to build competitive, lower-cost AI alternatives and reduce reliance on foreign technology.

Tech Giants Launch Digital Trust Alliance

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A coalition of 15 major technology companies, led by Microsoft and Ericsson, has formed the Trusted Tech Alliance to promote safer and more reliable use of digital technologies worldwide.

The initiative introduces five guiding principles focused on ethical conduct, secure development practices, global security standards, strong governance, and support for an open digital ecosystem. The alliance brings together firms operating across cloud services, artificial intelligence, connectivity, semiconductors, and enterprise software.

Members include Amazon Web Services, Google, SAP, Nokia, NTT, Cohere and Reliance Jio Platforms, among others.

The move comes as governments across Europe and Asia place growing emphasis on digital sovereignty, seeking to reduce reliance on foreign technology providers. Rising geopolitical tensions and evolving data regulations have prompted debates about where data should be stored and how digital infrastructure should be governed.

Executives behind the initiative stress that no single nation can achieve full technological independence. Instead, the alliance aims to establish shared standards that reinforce trust in global digital systems while maintaining openness and interoperability.

Participating companies will commit to the alliance’s principles through internal verification and independent assessments.

AI Fears Shake Multiple US Sectors

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Concerns over artificial intelligence are spreading beyond the technology sector and weighing on a wide range of industries across U.S. markets.

What began as a selloff in software stocks has now extended to areas such as financial services, real estate, insurance, and logistics. Investors are increasingly questioning which industries may be vulnerable to automation as AI tools evolve rapidly.

Software companies were hit first, with fears that new AI solutions could disrupt long-established business models. The pressure then spread to private credit firms exposed to software lending and to financial brokerages after AI-driven tax planning tools entered the market.

Data analytics companies and legal service providers also saw declines as investors assessed the potential for AI to reduce reliance on traditional advisory services. Meanwhile, real estate service firms and insurance brokers faced losses amid concerns that AI-powered platforms could streamline tasks that currently require human expertise.

Even trucking and logistics stocks declined after AI-based freight optimization tools demonstrated efficiency gains without additional staff.

Market analysts suggest that investor sentiment has shifted toward identifying both winners and losers in the AI transition. While some fear the technology could disrupt established industries, others believe certain sectors will adapt by using AI to enhance rather than replace existing operations.