NEW YORK, March 3, 2026, 16:38 EST — After-hours
- Meta shares edged higher after hours, with investors reacting to news about a shopping tool reportedly in the works for Meta AI.
- Traders are scanning for any hints about rollout timing, data usage, and Meta’s potential monetization plans for the tool.
Meta Platforms Inc picked up about 0.25% in late trading Tuesday, with shares at $655.08—a $1.63 gain from the prior close. The move followed a report that the Facebook parent is experimenting with a shopping research feature in its AI chatbot. Earlier, shares ranged from $637.01 to as high as $658.99 during the day.
Timing’s critical here. AI assistants are starting to shape how people discover products, a space long dominated by search engines and retailer apps. When shopping starts with a prompt, whoever controls that prompt controls the flow — and captures the ad dollars that follow.
For Meta, the real test is whether a chatbot can handle commerce jobs without just becoming one more ad that users tune out. The company still makes its money from advertising—not from transactions—so any new tool has to slot into that core business.
Bloomberg says a handful of U.S. users are starting to see the feature on Meta AI’s web platform. The tool pulls up a carousel displaying product images, complete with brand names, websites, and prices. Shoppers also get a quick bullet-point summary explaining each item’s selection. Meta’s spokesperson acknowledged the test but wouldn’t elaborate further.
EMARKETER reports that recommendations pull from what Meta already knows about a user, such as inferred gender and location. The tool skips in-chat checkout; instead, users head to the merchant’s site to buy. EMARKETER described the test as one slice of a larger trend, with OpenAI, Google, and others racing to turn chatbots into retail entry points.
The click-out method means Meta doesn’t touch payments or handle fulfillment. Still, those new signals—what users want, what they end up picking—offer fresh data. If Meta chooses to plug it in, that information could sharpen ad targeting and measurement.
Meta hasn’t clarified if merchants can buy placement, laid out the ranking system, or given a timeline for expanding past the web. These details usually determine if a test fizzles out or turns into a real product.
Still, risks remain. Using personal data for shopping suggestions can attract regulatory attention, especially as lawmakers continue targeting social platforms’ access to minors. On Tuesday, Virginia urged a federal appeals court to reinstate a state law that would limit kids under 16 to one hour of social media per day—a measure previously halted by a judge in February.
Regulation aside, there’s a simple execution pitfall here. Bad picks, outdated pricing, or scammy sellers can turn users off quickly. The moment the service starts to feel like just ads dressed up as a chatbot, don’t be surprised if shoppers wander back to competitors.
Meta execs are set to appear at the Morgan Stanley 2026 Technology, Media & Telecom Conference this Wednesday, with their webcast kicking off at 11:30 a.m. PST, per the company’s investor events page. Traders will be tuning in for details on Meta’s approach to launching the feature, how the company defines success, and if AI products will actually drive revenue growth without ramping up costs.
