ThinkTankWeekly

Beyond the U.S.-China Binary: The New Landscape of AI Partnerships in the Global South

CSIS | 2026-10-21 | tech

Topics: AI, China, Indo-Pacific, Middle East, Russia, Trade, United States

Visit original source

ThinkTankWeekly provides a curated entry and summary only. Full text and PDF remain on the publisher's website.

English Summary

The global AI landscape in the Global South is rapidly becoming multipolar, moving beyond a simple U.S.-China binary. Competing powers are offering specialized components: China focuses on full ecosystem control and governance; India emphasizes open-source, multilingual digital public infrastructure (DPI); and Gulf states are positioning themselves as compute providers. Meanwhile, middle powers are leveraging multilateral institutions (e.g., UN, World Bank) to set alternative standards and technical guidelines. This fragmentation gives developing nations greater strategic choice but complicates global AI governance, necessitating a shift in policy focus from technology access to shaping localized standards and regulatory frameworks.

中文摘要

全球南方地區的AI格局正迅速走向多極化,已超越單純的美中二元對立。各競爭強權正在提供專業化的組件:中國側著重於完整的生態系統控制和治理;印度則強調開源、多語言的數位公共基礎設施(DPI);而海灣國家則將自身定位為算力提供者。與此同時,中等國家正利用多邊機構(例如聯合國、世界銀行)來制定替代性標準和技術指南。這種碎片化為發展中國家提供了更大的戰略選擇,但也複雜化了全球AI治理,要求政策焦點必須從技術可及性轉向塑造本地化的標準和監管框架。

Related Entries

  1. 1.
    2026-11-07 | defense | 2026-W45 | Topics: Indo-Pacific, Middle East, United States

    The article argues that recent executive overreach and politicization have severely undermined established norms of U.S. civil-military relations. To restore professional standards, the incoming Congress must actively exercise its oversight powers, moving beyond mere criticism to demanding transparency in defense policy and personnel decisions. Key reforms include enforcing meritocratic promotion processes, requiring documented justification for senior officer removals, and preventing the partisan use of the military. These actions are crucial for bolstering public trust and ensuring the military remains a nonpartisan instrument of civilian control.

    Read at Foreign Affairs

  2. 2.
    2026-11-07 | middle_east | 2026-W45 | Topics: China, Middle East, Nuclear, Russia, Taiwan, Trade, Ukraine, United States

    The article argues that Donald Trump's unique and prolonged lame-duck period, coupled with domestic political pressures, makes him dangerously prone to international instability. Having exhausted major diplomatic gambits, Trump is expected to channel his energy into high-stakes, unilateral actions, primarily targeting adversaries such as Iran and Cuba. These potential actions—ranging from fresh strikes in the Persian Gulf to attempts at regime change—carry a significant risk of destabilizing regional security and triggering a global economic crisis. Policymakers must anticipate this pivot to high-risk foreign policy to mitigate potential international flare-ups.

    Read at Foreign Affairs

  3. 3.
    2026-11-07 | economy | 2026-W45 | Topics: China, Europe, Trade

    China's economic strategy is characterized by a persistent 'economics of denial,' prioritizing massive state-directed investment in advanced technology over addressing weak domestic consumption. This approach is rooted in a flawed belief that controlling physical capital will automatically generate productivity and wage growth, ignoring the structural imbalance where domestic demand consistently falls short of supply. This overinvestment and underconsumption model is unsustainable. Consequently, Beijing's policies will continue to generate global deflationary pressures and escalating trade friction, necessitating a fundamental pivot toward consumption-led growth for long-term stability.

    Read at Foreign Affairs

  4. 4.
    2026-11-07 | economy | 2026-W45 | Topics: AI, China, Indo-Pacific, Middle East, Trade, Ukraine, United States

    The Blue Wave signals significant voter frustration with cost of living and inflation, giving Congress a mandate to prioritize affordability and cost-reduction measures. Economically, the rapid build-out of AI data centers is creating localized stress, driving up skilled labor wages and straining resources, while also facing constraints from power grids and potential local regulatory backlash. Policymakers must manage this 'sequencing issue'—addressing rising costs before full productivity gains from AI can materialize—and anticipate shifts in global data center infrastructure as the market matures.

    Read at CFR

  5. 5.
    2026-11-07 | economy | 2026-W45 | Topics: United States

    The built environment workforce, comprising 15.3 million workers across 95 occupations, is foundational to modern infrastructure and economic stability. While highly paid, the workforce suffers from significant demographic imbalances, being disproportionately white and male, and often lacking clear career progression pathways. To prevent project delays and cost overruns, policy must mandate that capital asset owners treat labor market forecasting as core to project planning. Strategic interventions are required to strengthen career pipelines through robust apprenticeships, improve retention, and actively recruit younger and more diverse workers.

    Read at Brookings