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AI/April 23, 2026/6 min read/youtu.be

Episode 74: China’s AI-Driven New Economy | Research @ Citi

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This summary of the Research at Citi podcast episode, "China’s AI-Driven New Economy," explores the rapid evolution of artificial intelligence in China and its profound impact on the nation's macroeconomic landscape. This episode was recorded on Thursday, April 9, 2026. [16:46]


China’s AI & Economic Transformation: Key Metrics

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Published
April 23, 2026
Read time
6 min read
Progress0%
CategoryMetric / FactValue / DetailTimestamp
User AdoptionTotal Internet Users1.12 Billion (80% penetration)[00:01:33]
User AdoptionGen AI Users (China)602 Million (142% YoY growth)[00:01:52]
User AdoptionGen AI Adoption (US)41% (work) / 50% (non-work)[00:02:04]
Investment2025 AI Capex400 Billion RMB (0.3% of GDP)[00:03:27]
Investment2030 Projected Capex3 Trillion RMB+[00:03:32]
Economic ShiftIT Services Weight>5% of GDP (Up from <2%)[00:03:46]
Economic ShiftProperty Sector Weight<6% (Direct) / ~13% (Total)[00:04:13]
Economic ShiftNew Economy Weight>18% of GDP[00:04:21]
Labor MarketAI Exposure30% of total employment[00:12:18]
Labor MarketDisplacement Risk9.6% (~70 Million jobs)[00:12:28]
Labor MarketJob Creation Target12 Million new jobs (2026)[00:13:15]
Labor MarketSpecific Sector Risk10 Million+ drivers (Robotaxi impact)[00:14:52]
InfrastructureGlobal Power Share1/3 of global electricity production[00:06:03]

Strategic Highlights

  • The MoE Edge: To bypass hardware limits, Chinese firms are utilizing Mixture of Experts (MoE) architectures, which activate only specific neural pathways to save compute power [00:07:07].
  • The "Open-Source" Ladder: Companies release their "previous best" models to the public to capture the developer ecosystem, while keeping the absolute cutting-edge proprietary for enterprise clients [00:09:27].
  • Walled Garden Friction: The biggest hurdle for Agentic AI (autonomous assistants) isn't the code—it's the refusal of tech giants to let agents cross over into a competitor's app ecosystem [00:11:00].
  • Investment Pivot: Citi analysts suggest that 2026 is the year the investment narrative shifts from "how much money is being spent" (Capex) to "how is this being regulated" (Governance) [00:16:23].

Summary Overview

Strategic Highlights

  • The MoE Edge: To bypass hardware limits, Chinese firms are utilizing Mixture of Experts (MoE) architectures, which activate only specific neural pathways to save compute power [00:07:07].
  • The "Open-Source" Ladder: Companies release their "previous best" models to the public to capture the developer ecosystem, while keeping the absolute cutting-edge proprietary for enterprise clients [00:09:27].
  • Walled Garden Friction: The biggest hurdle for Agentic AI (autonomous assistants) isn't the code—it's the refusal of tech giants to let agents cross over into a competitor's app ecosystem [00:11:00].
  • Investment Pivot: Citi analysts suggest that 2026 is the year the investment narrative shifts from "how much money is being spent" (Capex) to "how is this being regulated" (Governance) [00:16:23].

[00:00:01] Podcast Introduction & Speakers

  • Host: Erica Punwarkin, Head of Research for China and Asia South at Citi.
  • Guests: * Xiang Rong Yu, Chief China Economist at Citi [00:00:57].
    • Alicia Yap, Head of Pan-Asia Internet Research at Citi [00:01:03].
  • Core Theme: China is leveraging AI as a catalyst for new economic growth sectors like autonomous driving, intelligent healthcare, and smart cities [00:00:29].

[00:01:24] China’s AI Adoption Metrics (2025–2026)

  • Internet Scale: By the end of 2025, China reached 1.12 billion internet users with an 80% penetration rate [00:01:33].
  • Generative AI Growth: 602 million users utilized Gen AI by December 2025, a 142% year-over-year increase [00:01:52].
  • US Comparison: As of November 2025, US work-related Gen AI adoption was 41%, and non-work related usage was 50% [00:02:04].
  • Current Trend: Due to the proliferation of AI agents (e.g., "clawbot" agents), adoption likely surged further in the first three months of 2026 [00:02:31].

[00:02:48] Macroeconomic Impact: The "New Economy" Pivot

  • Closing the Tech Gap: Despite US export controls on chips, the gap between Chinese AI models and the global frontier has narrowed significantly [00:03:03].
  • Capex Figures: AI Capex in China was 400 billion RMB last year (0.3% of GDP) and is projected to exceed 3 trillion RMB by 2030 [00:03:27].
  • Sector Weight Shift:
    • IT Services: Grew from <2% of GDP a decade ago to over 5% today; it is expected to outsize the property sector by 2027 [00:03:46].
    • Property Decline: Direct weight is now <6% [00:03:55]. Total contribution (direct + indirect) dropped from 30% at its peak to ~13% today [00:04:13].
    • New Economy Resilience: Measured by the NBS at over 18% of GDP, the broad "new economy" now fully offsets the property sector's drag [00:04:21].

[00:05:00] National Strategy: The 15th Five-Year Plan

  • Policy Conviction: AI is the defining theme of the upcoming 15th Five-Year Plan. There is a sharp contrast between the high level of detail in the "AI Plus" economy plans versus the "underwhelming" consumption push [00:05:08].
  • Three Pillars of Catch-up:
    1. Talent: China produces more STEM graduates than any other nation [00:05:34].
    2. Industrial Ecosystem: A massive manufacturing base allows for AI deployment in physical logistics and supply chains [00:05:44].
    3. Infrastructure: China accounts for one-third of global electricity production, a critical advantage for energy-heavy AI [00:06:03].

[00:06:28] Innovation Under Hardware Constraints

  • Software-Driven Efficiency: GPU restrictions sparked innovations in Mixture of Experts (MoE) architectures, where only specific parts of a network activate for a task, making training and inference leaner [00:06:47].
  • Distributed Training: Engineers orchestrate large clusters of less powerful chips, splitting data and models to maximize output [00:07:25].

[00:08:05] Open-Source Strategy & Agentic AI

  • Open-Weight Models: China uses "openness" to build dominant ecosystems. The strategy involves releasing the "previous best" versions of models to the community while reserving cutting-edge versions for core enterprise customers [00:08:28].
  • Agentic AI Barriers: While China's "Super Apps" (integrated payments/logins) are ideal for autonomous transactions, "Walled Gardens" created by tech giants prevent agents from interacting with rivals' ecosystems [00:10:17].

[00:11:45] Labor Market & Social Implications

  • Jobless Growth Risk: Household income expectations remain low. 30% of employment has high AI exposure, with 9.6% (70 million jobs) facing displacement risk—particularly in services [00:12:18].
  • Limited Impact So Far: Currently, AI adoption is largely personal and hasn't yet reached formal widespread workplace deployment [00:12:58].
  • Age Perception Gap: Workers over 35 (often in senior roles) view AI as a productivity enhancer rather than a threat [00:13:38].
  • Government Targets: To manage this, China maintained a target of 12 million new jobs this year despite cutting the GDP growth target [00:13:15].

[00:14:26] Policy & Investment Takeaways

  • Augmentation Priority: Policy will favor AI that empowers workers over substitution (e.g., Robotaxis could affect 10 million drivers) [00:14:52].
  • Social Safety Net: Strengthening unemployment benefits and retraining programs is now a precondition for AI scale-up [00:15:16].
  • Tax Incentives: Investors should expect tax incentives for the new economy to be phased out as the sector matures [00:15:36].
  • Governance Shift: 2026 marks a transition where AI Governance (social and regulatory constraints) becomes as critical to investment frameworks as technological capability [00:15:54].

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