Web2 AI
1 The efficiency of the underlying technology change model has been significantly improved.
Enhanced computing power of manufacturers has led to a significant reduction in Token costs (about 1/10 of last year's).
The possibility of technology adoption is therefore increased.
Differences in application strategies between the two.
Web2 AI: Focus on the commercialization of products (how to profit through technology).
Web3 AI: Looking for angles with 'buying interest' (how to attract capital inflow).
Changes in market budget allocation.
After the reduction of technology costs, more budget is allocated to product marketing.
Web2 AI marketing models are gradually approaching consumer brands:
Weaken traditional 'customer acquisition through advertising', strengthen brand building and community operation.
Web3 AI
Core logic.
The higher the model efficiency, the greater the computing power.
The lower the Token Price, the less Crypto accepts this logic.
Its ultimate goal is scarcity.
However, AI Tokens can expand infinitely, which fundamentally conflicts with Crypto.
Core principles of Crypto.
Token = Scarcity Guarantee: Creating supply shortages through liquidity, attention (user time) is inherently scarce (only 24 hours).
In Web3, Token is either an Enabler or a Gatekeeper, and its scarcity must be maintained.
Critique of Web2 AI thinking.
Applying Web2 AI logic (such as pursuing low cost and high expansion) in the Crypto field is a reversal of cause and effect.
