"The feature, which allows requests for product suggestions, is being rolled out to some U.S.-based users of the Meta AI web browser. The chatbot responds with a carousel of product images that include captions with information about the brand, website, and price. It also offers a brief explanation of its recommendations in bullet-point form."
"Hundreds of billions, and possibly trillions, of dollars are being invested into AI development, and these providers need to demonstrate how their tools are going to make their businesses money, as opposed to simply commanding attention. The current wave of AI tools is able to provide human-like answers and in-depth responses based on their huge compute power."
"With that level of investment, Meta also needs to map a pathway to profit. Ads in chatbots seem like a logical choice, though they could risk eroding trust in AI answers, because the responses could be viewed as being skewed towards paying ad partners."
Meta is testing a shopping research feature within Meta AI that displays product carousels in response to shopping-related queries. The feature shows product images with brand, website, and price information, along with bullet-point explanations for recommendations. OpenAI and Google are developing similar functionality. These AI providers are integrating shopping capabilities to create revenue opportunities through sponsored listings and ads while addressing massive infrastructure costs. Meta has committed $600 billion to U.S.-based AI infrastructure over three years, necessitating clear monetization pathways. However, integrating ads into chatbots risks undermining user trust if responses appear biased toward paying partners.
#ai-monetization #e-commerce-integration #shopping-discovery #chatbot-advertising #ai-infrastructure-costs
Read at www.socialmediatoday.com
Unable to calculate read time
Collection
[
|
...
]