Value Theory

The AI era faces a profound paradox: an unprecedented leap in productivity coexists with widespread anxiety. Technological progress has created extraordinary possibilities, yet ordinary people do not feel safer or more confident. On the contrary, employment pressure, skills anxiety, and resource barriers are intensifying. C Community's value theory starts precisely from this paradox.

01

AI's Replacement of Labor

AI is not only replacing repetitive labor but is accelerating its penetration into knowledge work. Between 2023 and 2026, the global tech industry experienced massive layoffs, with large numbers of knowledge workers facing the challenge of career repositioning. This is not just a technological issue but a social one -- when machines can accomplish more and more work, how should the labor value of ordinary people be redefined?

Key data: From 2023 to 2026, cumulative layoffs in the global tech industry exceeded hundreds of thousands, affecting knowledge-based roles including engineers, designers, and product managers.

See how SAT addresses this

02

Monopolistic Resource Control

Core resources in the AI era are concentrated across five dimensions: computing power, algorithms, data, capital, and distribution channels. The high degree of monopoly across these five dimensions means that even if ordinary people master the use of AI tools, they still struggle to gain opportunities to compete on equal footing with tech giants. The existence of resource barriers is the structural root cause of AI anxiety among ordinary people.

Compute

Algorithms

Data

Capital

Distribution

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03

The Dilemma of Tool Acquisition

"Learning to drive" is an apt metaphor: when the automobile was invented, society did not require everyone to become a mechanical engineer. Instead, driving schools and highway systems emerged, allowing ordinary people to acquire driving skills at a relatively low cost. The same applies to AI tools -- the key is not understanding underlying principles but mastering usage methods and applying them to real scenarios. However, the current AI education market is dominated by two extremes: either overly theoretical or overly commercialized.

What society needs is not for everyone to become an AI engineer, but for everyone to effectively use AI tools.
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04

The Capital Flywheel Effect

A self-reinforcing flywheel exists between capital, resources, and talent: companies with capital can acquire more resources, more resources attract better talent, better talent creates greater value, which in turn attracts more capital. This flywheel causes resource-advantaged players to pull further ahead, while ordinary people who lack entry points into this cycle will only see the gap continue to widen.

C Community's response is: through alliance, provide an alternative flywheel entry point for ordinary people. When individuals collectively acquire resources, share tools, and collaboratively operate projects, they partially break the monopoly effect of a single capital flywheel.

Learn about the Way of Alliance