Interesting viewpoints comparison: What is the key to building AI products?



There is a consensus in the industry abroad — technology is the real moat in the AI era. No matter how good the marketing is or how accurate the demand understanding is, if the product itself isn't solid enough, it's all in vain.

In contrast, the domestic startup scene often follows a completely opposite approach: prioritizing marketing, demand exploration, and user growth. Both sides seem to be working on AI, but in reality, they are taking two different paths.

Why? Someone summarized it: creating a truly excellent AI product is far more difficult than imagined. It’s different from traditional SaaS — it requires deeper algorithmic accumulation, stronger engineering capabilities, and a longer polishing cycle. This cannot be compensated for by marketing in the short term.

So the question is: do you choose to bet on technology or on channels?
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GraphGuruvip
· 01-04 08:19
This marketing-driven approach in the domestic market is really going to crash sooner or later.
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rugdoc.ethvip
· 01-03 07:53
This domestic "marketing first" approach, to put it simply, is just to raise funds first without figuring out the technology yet.
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CryptoMotivatorvip
· 01-03 07:51
Can this marketing-driven approach really produce any solid products domestically? I highly doubt it...
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MoodFollowsPricevip
· 01-03 07:48
This domestic marketing-centric approach, to put it simply, is about betting on the trend and riding the wave of profits; even with mediocre skills, you can survive... But AI is different; technical robustness determines the ceiling.
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ETHmaxi_NoFiltervip
· 01-03 07:45
This domestic strategy of "claiming the land first and then talking" will eventually backfire. No matter how much hype is built around low-technical-content products, they won't last long.
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GasFeeSobbervip
· 01-03 07:26
Domestic entrepreneurs are still playing growth hacking, while abroad they are already building moats. Is the gap really this big?
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