In the AI industry circle, video content itself is often not the main source of revenue. The true drivers of income are business collaborations and brand endorsements — which are already a well-known secret in the industry. Many AI companies' marketing budgets even exceed their R&D investments.
But the essence of this business model is actually no different from traditional live-streaming sales. The key difference is: live-streaming e-commerce has a relatively complete product quality control system, and consumer rights are protected; whereas AI product endorsements lack a unified quality standard and verification mechanism.
In other words, both are earning money by endorsing products, but one is constrained by industry norms, while the other is in a relatively wild growth stage. The lack of quality standards may ultimately affect the healthy development of the entire AI industry and user trust.
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ThreeHornBlasts
· 5h ago
Marketing budget exceeds R&D? That's just ridiculous, it feels like they're just fooling around.
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StakeOrRegret
· 5h ago
Marketing budget exceeds R&D investment? I've seen through this a long time ago. To put it simply, bragging is more profitable than making products.
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Rekt_Recovery
· 5h ago
bro this is just leverage without the liquidation notice... marketing > r&d is peak copium energy ngl
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CantAffordPancake
· 5h ago
Basically, the AI industry is now like live streaming rooms, all about selling products. The difference is that one is managed and the other is unregulated.
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NFTHoarder
· 6h ago
Marketing budget exceeds R&D? That's just ridiculous. Essentially, it's just bragging to make quick money.
In the AI industry circle, video content itself is often not the main source of revenue. The true drivers of income are business collaborations and brand endorsements — which are already a well-known secret in the industry. Many AI companies' marketing budgets even exceed their R&D investments.
But the essence of this business model is actually no different from traditional live-streaming sales. The key difference is: live-streaming e-commerce has a relatively complete product quality control system, and consumer rights are protected; whereas AI product endorsements lack a unified quality standard and verification mechanism.
In other words, both are earning money by endorsing products, but one is constrained by industry norms, while the other is in a relatively wild growth stage. The lack of quality standards may ultimately affect the healthy development of the entire AI industry and user trust.