Developer’s Dilemma

Developer’s Dilemma: An Interactive China AI Decision Tree

Developer’s Dilemma

An Interactive China AI Decision Tree

Every decision has a consequence, and every choice carries a tradeoff.

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In this interactive experience, you’ll step into the role of a Chinese AI developer navigating the complex landscape of building an AI system.

At each stage of the tech stack—from sourcing data and talent, to acquiring hardware and software, to scaling your business and marketing your product—you’ll be forced to weigh competing priorities.

Sometimes you’ll trade price for performance, or cost for time. Other times, you’ll balance political constraints against commercial opportunity. Each path reflects the unique pressures and possibilities of innovating in China’s AI ecosystem.

Ready to Make Your Mark?

Dive into the complexities and navigate the future of AI in China.

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Overview

Purpose: A Three-Step Journey

  1. 1
    Narrative

    Experience the U.S.–China tech competition as a China-based AI developer, taking you inside the story in a fresh way.

  2. 2
    Tradeoffs & Decisions

    Step into the developer’s shoes to navigate real-world business, technical, and geopolitical trade-offs.

  3. 3
    Mapping & Visualization

    Better understand how select Chinese AI companies got to where they are today, and how shifting Chinese and U.S. policies shaped their paths.

There is no right or wrong answer. Every choice has an opportunity and a cost.

Limitations: Important Considerations

Simplified Reality

This exercise distills China’s AI funding and development landscape into simplified decision points for clarity and learning purposes.

Date of Information

All data reflects information available as of September 2025.

Illustrative Estimates

Time and Cost “credits” are for reference only. They are not to scale, nor do they represent historical precedent or specific company trajectories.

Your Feedback

We welcome your feedback on how we can improve this interactive experience. Email us at info@scsp.ai.

Credits

SCSP Research and Design Team:

David Lin, Olivia Armstrong, Vesa Xerxa, Eileen Chen, and Eva Ellis.

Many thanks to the following contributors:

Amelia Frank, Eric Bennett, Lilly Lee, and Mikel Rodriguez.

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