AI helps you pick products—who is paying for its answers?
In the past, brands competed for a spot in search results. Now, Amazon wants ads to enter the conversation between consumers and AI about products.
On September 29, Amazon Ads announced Branded Conversations: brands can provide their own product knowledge to support shopping conversations. The official guidance is explicit that it will be labeled as Sponsored. The plan is to launch first in the United States in January 2027, and it cannot be written as already live globally.
I think the more interesting change here is that ad value may shift from “driving people to a page” to “answering key questions when people are still hesitating.” Questions like whether the size fits or how to choose accessories are closer to the purchase decision—but even if answered, it doesn’t automatically mean a sale.
So to judge whether this kind of AI investment is worth it, I’d look at how many incremental orders the advertiser ultimately gets, whether customer acquisition costs improve, and whether repeat purchases can actually be retained. Even a beautifully crafted number of conversation exchanges can’t be taken as profit directly.
If we apply this logic to the AI narratives around RENDER, FET, and NEAR, we also have to ask: where exactly does the real paid demand come from, and can tokenholders share in the revenue? Amazon’s commercial progress won’t automatically turn into gains for these projects.
AI can make conversations longer—but only real orders can make the business real.
The accompanying image is a photo of an Amazon building.
$RENDER $FET $NEAR #AI商业化
Click my profile photo to see live verified orders
In the past, brands competed for a spot in search results. Now, Amazon wants ads to enter the conversation between consumers and AI about products.
On September 29, Amazon Ads announced Branded Conversations: brands can provide their own product knowledge to support shopping conversations. The official guidance is explicit that it will be labeled as Sponsored. The plan is to launch first in the United States in January 2027, and it cannot be written as already live globally.
I think the more interesting change here is that ad value may shift from “driving people to a page” to “answering key questions when people are still hesitating.” Questions like whether the size fits or how to choose accessories are closer to the purchase decision—but even if answered, it doesn’t automatically mean a sale.
So to judge whether this kind of AI investment is worth it, I’d look at how many incremental orders the advertiser ultimately gets, whether customer acquisition costs improve, and whether repeat purchases can actually be retained. Even a beautifully crafted number of conversation exchanges can’t be taken as profit directly.
If we apply this logic to the AI narratives around RENDER, FET, and NEAR, we also have to ask: where exactly does the real paid demand come from, and can tokenholders share in the revenue? Amazon’s commercial progress won’t automatically turn into gains for these projects.
AI can make conversations longer—but only real orders can make the business real.
The accompanying image is a photo of an Amazon building.
$RENDER $FET $NEAR #AI商业化
Click my profile photo to see live verified orders
