Big tech companies are becoming increasingly aggressive in the AI race. Recently, a major firm announced a $2.5 billion acquisition of a company specializing in general AI Agents, and this deal is quite substantial. The acquired company has already achieved annual recurring revenue exceeding $100 million, indicating that there is real money flowing into the enterprise AI Agent market. This type of acquisition reflects a clear trend—AI Agents are moving from the laboratory to commercial applications and have become a certainty.
However, it is worth noting that when large companies advance their AI strategies, issues related to data compliance and privacy protection are always unavoidable sticking points. Whether user trust can keep pace with technological development remains a big question. For enterprise AI applications to truly take off, a solid trust foundation must be established.
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DeFiCaffeinator
· 7h ago
2.5 billion dollars poured in just for that 100 million annual revenue, how is this calculation made?
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Trust? Wake up, buddy. When have these big companies ever truly cared about user data?
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It's Agent, Agent, Agent again. When will this hype finally materialize?
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No, why do they always first hype up funding and then consider privacy issues? Can they do it the other way around once?
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Enterprise-level applications sound impressive, but honestly, it's still just data business.
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DataChief
· 7h ago
2.5 billion USD just to compete in the Agent track? Big companies must see through the enterprise market to be throwing this much money around.
Big tech companies are becoming increasingly aggressive in the AI race. Recently, a major firm announced a $2.5 billion acquisition of a company specializing in general AI Agents, and this deal is quite substantial. The acquired company has already achieved annual recurring revenue exceeding $100 million, indicating that there is real money flowing into the enterprise AI Agent market. This type of acquisition reflects a clear trend—AI Agents are moving from the laboratory to commercial applications and have become a certainty.
However, it is worth noting that when large companies advance their AI strategies, issues related to data compliance and privacy protection are always unavoidable sticking points. Whether user trust can keep pace with technological development remains a big question. For enterprise AI applications to truly take off, a solid trust foundation must be established.