Future AI Post 3: Tradition Meets Innovation, Shaping the Future of AI
- Cheng Wang
- Apr 19
- 3 min read
AI Post 3: Tradition Meets Innovation, Shaping the Future of AI
In this AI Future series, after Post 1: The Real AI Divide is Cultural, and Post 2: When (and How) China’s Collectivism Began to Take Shape, Post 3 will explore the foundation on which China’s culture was built and how it has influenced its AI development today. And then, how about an “out of the box” approach to shape future AI policies for us all?
Henry Kissinger famously said, “American exceptionalism is missionary; China’s exceptionalism is cultural.”
One may wonder what deep cultural roots have sustained China’s culture for thousands of years—shaping its governance, society, and people—and offer key insights into how its culture could influence its AI development.
The three moral foundations of China
China’s approach to AI is shaped not only by policy and technology. It is rooted in philosophies that have been around for over 2,000 years.
To understand how China builds and governs AI today, we need to look at three enduring traditions: Taoism (Harmony with Nature), Confucianism (Aspiration and Order), and Buddhism (Detachment and Reflection).
From antiquity to the present day, they have been intertwined, complementing one another and jointly shaping the Chinese outlook on life and wisdom, as well as how technology evolves today.
Taoism emphasizes harmony with natural order and non-forcing action.
“Nothing is softer and more yielding than water. Yet nothing can better attack the strong than water. It has no equal.” — Laozi, Tao Te Ching, Chapter 78.
Rather than tightly controlling every element, this perspective encourages guiding systems at a macro level and allowing them to adapt and grow.
In AI, this is evident in the development of large-scale, integrated systems—such as smart cities and data-driven governance—where complexity is embraced rather than simplified.
Confucianism focuses on social roles, responsibility, and moral governance. Historically, people apply Confucian principles to manage their daily lives and aspire to lofty goals. "Those who excel in learning will become officials," from Confucius’s Analects. It has sown seeds in the minds of Chinese people to this day, inspiring them to study from a very young age and become the top in their field.
It reinforces the idea that well-ordered systems require deep-rooted thinking, coordination, and leadership. This is reflected in China’s approach to AI:
strong state direction
long-term strategic planning
emphasis on collectivism rather than individualism
The goal is not just innovation, but stability and societal coherence.
Buddhism brings a different dimension—awareness of impermanence, interconnectedness, and unintended consequences.
The Buddha’s final statement was, "All conditioned things are subject to decay." It serves as a powerful reminder that all things are temporary, helping people practice detachment and manage changes through calm reflection.
It encourages reflection on the broader impact of the fast-changing technological landscape. In the AI context, this is visible in:
growing attention to ethics
sensitivity to social consequences
periodic regulatory adjustments when systems evolve too quickly
These deep cultural logics have shaped how technology is interpreted, governed, and integrated into society today. Together, these traditions do not operate separately—they interweave:
Taoism → how systems evolve
Confucianism → how systems are governed
Buddhism → how consequences are understood
However, classical philosophy serves as a background influence rather than a direct blueprint. These traditions shape default notions of order, society, and responsibility—which, in turn, influence how AI is built and governed.
What emerges is a model of AI as a large-scale, socially embedded system—guided by coordination and long-term thinking.
This differs from many Western approaches, which tend to emphasize:
individual rights
Profit-driven
legal frameworks
control over technology
But the gap may be narrowing.
As AI becomes more powerful and ubiquitous, users around the world have access to these different models, which force them to evolve and begin borrowing ideas from one another.
Therefore, this AI trajectory ultimately raises fundamental questions for all of us:
- Should artificial intelligence aim to serve those already well-off, such as social elites and the AI class, to make them much better off, or should it prioritize the system as a whole, but potentially hindering innovation?
- To what extent should traditions, cultural philosophies, or modernities shape technology based on your experiences?
- Most importantly, should our better future in AI come from balancing the two — individuals vs. society, traditions vs. modernity — rather than choosing one over the other, as an “out of the box” approach by industry and world leaders to shape future AI policies?
This is an ongoing series on the future of AI. Share your thoughts and stay tuned for more updates.
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