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Global AI-2025: The “Three Poles” — China, USA, EU

Franc Smidt, Editor-in-Chief,
July 6, 2025, Germany

In 2025, artificial intelligence (AI) has become not just a technology, but a geopolitical weapon that has split the world into three competing ecosystems. China focuses on mass implementation and economic efficiency, the USA — on cutting-edge models and innovation, and the EU — on ethics and regulatory standards. While Washington and Beijing compete in investment and breakthroughs, Brussels is setting the rules of the game that other countries are already copying. But this “splintering” year also brings risks: from energy shortages to escalating trade wars. Based on open data and recent trends, let’s analyze how global AI is evolving.

1. Growth Rate and Key Launches

2025 has seen explosive growth in AI models, with a focus on reasoning systems and multimodality. China leads in deployment speed, the USA in frontier model quality, and the EU in regulatory compliance.

RegionFlagship Release 2025ParametersDate
ChinaDeepSeek-R197M MAU (April), 545% cost-profit ratioJanuary 2025
USAGPT-4o Turbo (OpenAI) + Claude-3.5-Sonnet (Anthropic)40 of the world’s top 100 modelsMarch–May 2025
EUMistral-Large-2 (France)3 of the top 100 models, focus on GDPR & AI Act complianceJune 2025

Chinese breakthroughs like DeepSeek-R1, trained for $5.6 million and generating $4.47 million in daily profit, showcase the efficiency of “pseudo-neural” architectures with dynamic sparsity training. The USA released 40 significant models in 2024, surpassing China (15) and Europe (3), though the gap is narrowing.

2. Funding and Investment Protocols

AI investments reached a record $368.5 billion globally in 2024, with the U.S. leading. China is scaling up public financing, while the EU is pushing forward through regulatory frameworks.

IndicatorChinaUSAEU
Private AI investments, 2024$9.3B$109.1B$4.5B
2025 Public Budget (planned)≈ $15B (central + provinces), projected $83–98B total (+48%)> $25B (CHIPS + NSCI), plus $320B from Meta, Amazon, Alphabet, Microsoft€11B (EU AI & Chips Act)
Share of global AI patents50 %20 %8 %

China leads in patents (35,423 in 2024), but the U.S. dominates citations and venture capital ($80B in Q1 2025).

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3. Hardware Access and Export Controls

U.S. chip sanctions have intensified: the H100/H200 embargo led to a $600B loss in Nvidia’s market cap after DeepSeek-R1. China shifted to H800 and Huawei’s Ascend 910C; local 7nm fabs now meet 38% of datacenter demand (Morgan Stanley). The EU depends on TSMC and Samsung; the “Chips Joint Undertaking” aims for 2nm chips by 2027. China will invest $98B in AI in 2025, prioritizing 300 EFLOPS compute power.

4. Regulation: Three Diverging Worlds

Regulatory paths mirror values: control in China, balance in the U.S., and ethics in the EU.

RegionModelRiskNext Step
China“AI+” & RealDID – embedded censorship and trackingOvercontrol slows VC (-50% in Q1 2025)Mandatory synthetic labels for all generative outputs
USAEO 14110 + FTC antitrust probes“Closed” vs. open-source model conflictLikely licensing for models > 10²⁶ FLOPs
EUAI Act (Tiers 1–4) + GDPRFines up to 7% of global revenueCertification of “high-risk” systems from August 2, 2025

The EU AI Act is on schedule: GPAI Code of Practice starts July 2025; ban on unacceptable-risk systems from February.

5. Breakthrough Sectors and Use Cases

AI is transforming industries — from autonomous driving to medicine.

ApplicationChinaUSAEU
Autonomous VehiclesBaidu Apollo Go: 400M km, 150 citiesWaymo: 150K rides/week, Phoenix & SFMobileye: Munich pilot with 50 AVs
HealthcareDeepSeek-R1 used in 3,700 hospitals for lung cancer diagnosticsFDA approved 223 AI tools in 2023Philips & Fraunhofer: CE-certified generative MRI scanner
Generative Coding67% SWE-bench tests outperform human baseline, Qwen for video-codeAnthropic Sonnet 3.5 — 73% HumanEvalMistral Codestral — 72% HumanEval

China is deploying machine agents like RealAgent (100,000 IoT units) and AI-driven supply chains (SHEIN cut cycle time by 300%).

6. Humanoid Robots: The Next Frontier

Robots are becoming a reality: China plans to deploy 1 million humanoids by 2030 (30% of the global fleet). In the U.S., Tesla’s Optimus is in pilot testing at the Gigafactory in Texas, with a public release set for 2026. In the EU, Norway’s 1X and BMW are developing 500 robots to be deployed in Leipzig by 2027. China leads the race by leveraging its EV giants to accelerate progress.

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7. Key Risks on the 2026–2027 Horizon

Risks are increasing—from energy shortages to sanctions and legal conflicts.

RiskChinaUSAEU
EnergyPower shortages in data centers (peak demand +18% in 2025)Delays in building new nuclear power plantsDependence on expensive gas
ChipsShortage of 5nm GPUs for large-scale trainingPolitical risk of new sanctionsDelays in European 2nm chip production lines
RegulationPotential CCP hardline shift amid economic downturnLegal battles between OpenAI and GoogleMarket fragmentation due to 27 national AI Act interpretations

8. What to Expect by 2027

China is projected to reach model quality parity and surpass the U.S. in monthly active users (forecast: 600 million). The U.S. will retain leadership in frontier AI but may lose ground in emerging markets. The EU is becoming a “regulatory exporter” — with Japan, Brazil, and India adopting versions of the AI Act.

9. Final Power Matrix

Dimension2025 LeaderTrend Potential Disruptor
Mass DeploymentChina
Sanctions on energy exports
Highest PerformanceUSAOpen-source breakthrough in China
Trust and ReliabilityEU
Compliance costs under the AI Act

Conclusion: 2025 is not a “turning point” but a “splitting point.” One world (China) pushes for scale and affordability with technologies like Kling AI and “smart districts” by 2026. A second (USA) races for maximum power. A third (EU) focuses on safety and human rights.
By 2027, we will not see a unified “global AI” but rather three parallel ecosystems—each with its own chips, standards, and user base. Without cooperation, risks—from energy crises to regulatory fragmentation—could stall progress.

New AI technologies China is launching or scaling in 2025 (based on English and Chinese sources)

Next-gen generative models

  • DeepSeek-R1 (High-Flyer AI) — a “reasoning” open-source model trained for only $5.6M on ~2,000 trimmed H800s. It required 10–20× fewer compute resources than Western counterparts and reached 97M active users globally (Jan → Apr 2025).
  • Kimi K2 (Moonshot AI) — an autonomous multi-step assistant dubbed the “second DeepSeek moment.”
  • Doubao 1.6 Pro (ByteDance) — a multimodal LLM with 60% token cost reduction, aiming for leadership in China’s B2B segment.
  • SenseNova V6 (SenseTime) — model with real-time audio-video interface and visual reasoning, upgrading the SenseChat assistant.

Hardware and system innovations

  • Huawei Ascend 910C — mass production of domestic AI chips; “AI CloudMatrix 384” cluster (384×910C) shows competitive performance vs Nvidia’s top solutions.
  • DUV lithography dominance — SMIC transitions to deep ultraviolet tech, enabling 7nm chips without Western EUV machines.
  • Power efficiency optimization — Chinese developers integrate sparse Mixture-of-Experts and memory-efficient inference to reduce energy usage by 30–50%.

Medical AI

  • DAMO “GRAPE” (Alibaba + Zhejiang Cancer Hospital) — world’s first model for early detection of gastric cancer via CT scans; study on 100,000 patients published in Nature Medicine.
  • United Imaging and Mindray announced AI tools for diagnostics and monitoring, boosting AI adoption in public hospitals.

Robotics and Smart Cities

  • University labs showcased a quadruped robot playing badminton against humans — a demonstration of dynamic control and visual AI.
  • Government project RealAgent launches 100,000 DeepSeek-based IoT agents to manage logistics in the “robo-city” of Lingang.

Digital ecosystems and pricing

  • ByteDance and Tencent fuel an AI cloud “price war”: Doubao API calls now cost ¥2 per 1M tokens — 5–10× cheaper than OpenAI.
  • Tencent integrated DeepSeek-R1 into WeChat and QQ, creating the world’s largest built-in chat assistant (>1B potential users).

Outlook to 2027

  • Huawei aims to “mathematically catch up” to Western GPUs via cluster architecture and software optimization; analysts predict 200,000 domestic AI chips produced in 2025.
  • China strengthens open-source strategy: over 500 DeepSeek-R1 variants downloaded 2.5M+ times, building a global ecosystem independent from Western platforms.

These technologies make 2025 not a “catch-up” year, but a “redefining” one for China — shifting from chip shortages to systemic efficiency and mass-scale AI deployment without hard reliance on Western suppliers.

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