How to extract value from AI in 2026? I’ve summarized the approach into a core idea: you must ask the "AI system."
Compared to the methods in 2025, the key addition is this layer of cognition—the "AI system."
The logic is actually simple; when broken down, it consists of three parts:
True output of the AI era = Human insights × Context engineering × Model intelligence
All three dimensions are indispensable. Human insights refer to your depth of understanding of the problem; context engineering is how you structurally feed information to the AI; and model intelligence is the ceiling of the tool itself. To extract value from AI, you need to excel in all three areas—you can't just rely on the model's intelligence, nor only on human ideas. The key is how to connect them together. This is the so-called "AI system" thinking.
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Web3ExplorerLin
· 5h ago
hypothesis: this is basically the oracle problem but for ai systems, right? context engineering sounds suspiciously like data validation layers... interestingly enough, the real arbitrage opportunity isn't in model intelligence at all, it's in bridging the human-ai gap. feels like we're watching the birth of a new consensus mechanism tbh
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SatsStacking
· 9h ago
That's correct, but the real challenge is to connect these three dimensions. Most people are still using AI just like Google, which is a complete waste.
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FudVaccinator
· 9h ago
To be honest, this framework is indeed eye-opening. Only by maximizing all three dimensions can you truly reap the benefits.
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NFTBlackHole
· 9h ago
To be honest, this formula feels like it's about how to use AI as a real tool rather than just a figurehead. I agree that all three dimensions are indispensable, but the reality is that most people are still struggling with how to write prompts.
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MissingSats
· 10h ago
Basically, you still have to do it yourself. Just waiting for AI to automatically give you the answers is a dream.
How to extract value from AI in 2026? I’ve summarized the approach into a core idea: you must ask the "AI system."
Compared to the methods in 2025, the key addition is this layer of cognition—the "AI system."
The logic is actually simple; when broken down, it consists of three parts:
True output of the AI era = Human insights × Context engineering × Model intelligence
All three dimensions are indispensable. Human insights refer to your depth of understanding of the problem; context engineering is how you structurally feed information to the AI; and model intelligence is the ceiling of the tool itself. To extract value from AI, you need to excel in all three areas—you can't just rely on the model's intelligence, nor only on human ideas. The key is how to connect them together. This is the so-called "AI system" thinking.