China’s push to replace Windows PCs in state‑owned enterprises with Linux is driven by security concerns after the Huawei sanctions, massive software licensing costs, the need to build a domestic ecosystem, and the strategic goal of achieving autonomous, controllable IT infrastructure.
A comprehensive industry roundup reveals that Chinese AI models have led global token usage for five weeks, new domestic app stores are generating million‑yuan developer revenue, US giants are restricting China IP access, and major funding, product launches, policy moves, and AI governance initiatives are reshaping the global AI landscape.
In February 2026, China introduced a pioneering group standard that defines executable acceptance rules for AI training datasets, linking data delivery, quality assessment, and model training through a three‑layer framework, quantitative metrics, and a pre‑negotiated quality baseline to reduce disputes and costs.
OpenAI’s report maps the US‑China AI competition onto four future scenarios, highlighting two outcomes where China could prevail, and outlines three key factors—computing autonomy, market share shifts, and domestic adoption—that will shape the global AI landscape.
The article examines the escalating US‑China AI competition in 2025, detailing the US AI Action Plan, China's global governance proposal, the impact of trade‑related tech embargoes, breakthroughs in Chinese AI chips and models, and the prospects for cooperation versus confrontation in shaping worldwide AI policy.
Jensen Huang and Arthur Mensch discuss the strategic importance of AI for national sovereignty, open‑source collaboration, infrastructure, and industry, emphasizing that AI is a universal technology that must be adopted, customized, and governed by each country to drive economic growth, security, and innovation.
This article provides a comprehensive analysis of China's AI server industry, covering upstream component markets, midstream shipment and revenue trends, downstream application demand, server classifications, major players, and future policy and technology drivers, all backed by recent market data and charts.
This lecture outlines the rapid rise of generative AI models, traces the four eras of computing technology, examines the four stages of intelligent computing, highlights AI safety challenges, and proposes strategic choices for China to advance secure, affordable, and open‑source AI-driven intelligent computing.
The article provides an overview of China's integrated circuit industry, highlighting its late start, recent policy support, market growth projections to 2026, the dominance of foreign firms in the supply chain, key domestic companies in EDA and wafer manufacturing, and the global competitive landscape.
The U.S. added cutting‑edge electronic design automation (EDA) software and related semiconductor technologies to its export control list, prompting concerns about short‑term disruptions and long‑term constraints on China's advanced chip design while also spurring domestic EDA development.
The article examines how Soviet semiconductor and computer development, from early water‑based calculators to the abandoned Setun ternary computer and the OGAS network, suffered from strategic missteps, political interference, and missed opportunities, ultimately leaving Russia with strong theoretical talent but a lagging IT industry.
This article examines the Soviet Union's computer history, highlighting early innovations like the water integrator, the reliance on vacuum‑tube technology, the experimental ternary Setun computer, the ambitious OGAS network proposal, and how strategic and political choices ultimately stalled its IT development.
The article analyzes ten emerging technology opportunities identified by Chinese lawmakers in 2022—including carbon neutrality, new‑energy vehicles, autonomous driving, core automotive chips, digitalization for SMEs, new‑infrastructure, data sharing, rural revitalization, aging‑society tech, and talent cultivation—detailing policy recommendations and key industry players behind each trend.
