The competitive landscape in the AI field is evolving into a bipolar structure. This is not only a contest of model capabilities but also involves the competition for resources across multiple dimensions—Computing Power supply, technical talent, chip production capacity, and key mineral reserves. Whoever masters these elements will gain an advantage in this long-term race in AI. This perspective comes from a deep analysis on Wall Street and is worth following.
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LidoStakeAddict
· 1h ago
In terms of computing power and chips, isn't it just about making money? Whoever secures more financing wins; this logic is old and worn out.
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retroactive_airdrop
· 2h ago
The logic of resource allocation has been talked about for a long time, but the key is still to see who can truly transform these elements into product strength; otherwise, piling up more chips is useless.
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WalletWhisperer
· 2h ago
the bifurcation thesis... pattern recognition screaming resource consolidation. whoever's accumulating compute right now owns the next decade, full stop.
The competitive landscape in the AI field is evolving into a bipolar structure. This is not only a contest of model capabilities but also involves the competition for resources across multiple dimensions—Computing Power supply, technical talent, chip production capacity, and key mineral reserves. Whoever masters these elements will gain an advantage in this long-term race in AI. This perspective comes from a deep analysis on Wall Street and is worth following.