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AI and Commercial Aerospace Integration Reshapes Investment Landscape and Analysis of the Guiding Significance of Cheng Shi's Philosophy

#AI投资 #商业航天投资 #产业融合 #投资理念 #程实
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December 20, 2025

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AI and Commercial Aerospace Integration Reshapes Investment Landscape and Analysis of the Guiding Significance of Cheng Shi's Philosophy

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Comprehensive Analysis

The integration of AI and commercial aerospace is building a new industry chain of ‘reusable rockets + computing constellations + data application scenarios’ [1]. Recyclable rocket technology has broken through the 90% core difficulty threshold [3], and cost reduction and load capacity improvement have laid the foundation for large-scale applications; AI forms a positive cycle of cost reduction and efficiency improvement with commercial aerospace by improving satellite data processing efficiency (shifting from ‘ground computing of space data’ to ‘space computing of space data’) and enabling real-time space decision-making.

Cheng Shi’s investment philosophy of ‘Blur Details, Insight into the Future’ emphasizes focusing on core trends rather than short-term technical details, which is highly consistent with the views of industry experts. Minsheng Securities estimates that the long-term computing power scheduling market space for satellite internet can reach 126 billion yuan [1], and China Fund News points out that the large-scale development of commercial aerospace will open up a trillion-level market [3]. Expert You Guoliang believes that 2026 will be a key year for the realization of AI application terminals and the large-scale development of commercial aerospace, while Huaxi Securities emphasizes the long-term profit model of space computing power with ‘low cost, wide resources, and large space’, all reflecting a focus on core trends.

Key Insights
  1. Cross-domain Collaboration Creates New Productive Forces
    : AI’s efficiency improvement solves the pain points of high cost and slow data processing in commercial aerospace, while the large-scale space data from commercial aerospace provides new application scenarios for AI; their integration is a typical representative of new productive forces.

  2. Investment Logic Shifts from “Technology Chase” to “Value-driven”
    : Cheng Shi’s philosophy guides investors to move from obsessing over AI algorithm details or rocket recovery technical parameters to focusing on core trends that directly create value, such as ‘efficiency improvement’ and ‘scenario implementation’—this is particularly important in the AI and commercial aerospace fields where technology iterates rapidly.

  3. 2026 is a Key Node
    : After three consecutive years of high-intensity investment in AI computing power, 2026 will enter the application realization period [3]; after the breakthrough in recyclable rocket technology, national teams and commercial companies will intensively promote launch plans, making large-scale development highly probable [3].

Risk and Opportunities

Opportunities
:

  • The trillion-level market space is gradually opening up, with investment opportunities emerging in segments such as satellite internet, space computing power, and AI aerospace systems
  • The resonance of technological maturity and scenario implementation in 2026 will become a key window for industrial explosion
  • Domestic A-share listed companies have already laid out relevant fields one after another, accelerating industrial chain collaboration [1]

Risks
:

  • Technical bottlenecks still exist, including problems such as heat dissipation and radiation protection for space data centers [1]
  • Economic feasibility still needs to be verified, and the commercial closed loop of some application scenarios has not yet been formed
  • Uncertainties in the policy and regulatory environment may affect the pace of industrial development
Key Information Summary

The new industry chain formed by the integration of AI and commercial aerospace has broad market prospects, and 2026 will be a key node for the large-scale development of the industry. Cheng Shi’s investment philosophy of ‘Blur Details, Insight into the Future’ provides important guidance for long-term investment decisions in this field—i.e., focusing on core trends such as ‘efficiency improvement’ and ‘scenario implementation’, while balancing long-term development opportunities with short-term technical and economic risks.

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.