Meta spent over $7 billion on AI technology, and what was the result? Zero revenue. Now they are turning around to spend up to $3 billion to acquire Manus.
The logic behind this is actually quite sobering — there are many companies capable of creating popular free tools, and Meta is among the leaders. But the problem is, without a profitable endgame, even the most advanced technology is useless.
Why did Manus catch Meta's eye? Not because of its user base or fame, but because they found the true monetization path for AI. That’s the real issue. Building an app is easy; making it generate passive income is the real skill. Meta’s acquisition is less about investing in a company and more about betting on the future of AI's commercial potential.
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OnlyOnMainnet
· 8h ago
Over 7 billion gone down the drain, now Manus has to save the day? That’s heartbreaking, everyone.
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MevSandwich
· 8h ago
7 billion given away for free... This is a common problem among big companies, burning money on concepts, and in the end, they have to rely on acquisitions to save the day.
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GateUser-afe07a92
· 8h ago
7 billion down the drain... Waking up a bit late, now I realize that free tools can only attract followers; monetization is the real skill.
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LoneValidator
· 8h ago
7 billion invested with zero income, now that's the most ironic part. Meta is still figuring out how to make AI profitable.
Meta spent over $7 billion on AI technology, and what was the result? Zero revenue. Now they are turning around to spend up to $3 billion to acquire Manus.
The logic behind this is actually quite sobering — there are many companies capable of creating popular free tools, and Meta is among the leaders. But the problem is, without a profitable endgame, even the most advanced technology is useless.
Why did Manus catch Meta's eye? Not because of its user base or fame, but because they found the true monetization path for AI. That’s the real issue. Building an app is easy; making it generate passive income is the real skill. Meta’s acquisition is less about investing in a company and more about betting on the future of AI's commercial potential.