Meta tests AI shopping tool to compete with OpenAI and Google

Meta (META) just turned its AI chatbot into a shopping mall.

Accelerating the rise of Meta AI shopping in a move that could reshape how billions of people find and buy products online.

If that sounds small, it’s not. It could reshape how billions of people find and buy products online.

Meta Platforms is testing a product discovery tool inside its AI interface. Instead of typing into Google or browsing Amazon, users can simply ask the chatbot what they’re looking for. It responds with product images, prices, brand names, and links to merchants.

There’s no checkout yet. No payments. Just discovery and referral.

But don’t underestimate that.

Discovery is where the money starts. If Meta controls what products you see first, it controls the top of the buying funnel. And that’s incredibly valuable.

This move puts Meta on a direct collision course with OpenAI and Google, both of which have already added shopping features to their AI chatbots. Everyone sees the same opportunity. If commerce shifts from websites to AI conversations, whoever owns the conversation owns the customer.

Meanwhile, CEO Mark Zuckerberg is talking about something even bigger. He’s pitching a future built around “super intelligence” and so called agentic tools that act on your behalf. Not just answering questions, but recommending products, planning trips, managing tasks, and eventually making purchases for you. That broader AI ambition is backed by heavy infrastructure spending, including moves like Meta signing a multi-billion dollar deal to rent Google AI chips.

The behavior shift is already happening.

41% of consumers used dedicated AI platforms for product discovery in January 2026.

33% say they’ve fully replaced older methods like traditional search or going directly to retailer websites.

That’s a real change in how people shop.

For investors, this is the key question. If shopping becomes a conversation instead of a click, which stock captures the value?

Meta stock is becoming a gateway to commerce. And if AI driven discovery keeps growing, this could open up an entirely new revenue stream layered on top of ads. That strategy is reinforced by aggressive hardware and compute investments, including partnerships that recently sent AMD stock jumping after a major Meta GPU deal.

The mall of the future may not have doors. It may start with a question.

The disruption behind the news: Search is being pulled away from Google to AI agents that know your preferences, history, and habits.

Meta has something OpenAI and even Google don’t fully control.

Identity at global scale.

Billions of logged-in users.

Years of social graphs, interests, clicks, DMs, likes, and purchase signals.

If product recommendations are trained on all that behavioral data, this isn’t just AI search. But personalized influence layered on top of one of the most advanced ad-targeting systems ever built.

If Meta routes shopping discovery through its AI, it becomes the gatekeeper between merchants and buyers. That’s a major power shift. Retailers lose direct traffic. Brands lose control over how their products are displayed. SEO matters less. Performance marketing budgets get pulled into whatever format the AI prioritizes.

There’s also risk embedded in this transition. As AI agents gain more autonomy in handling financial flows and transactions, mistakes can scale quickly, as seen when an AI bot accidentally sent $250,000 in crypto instead of a $500 tip. As Meta pushes deeper into agentic commerce, reliability and guardrails will matter just as much as personalization.

In traditional search, advertisers bid on keywords. Costs fluctuate and brands absorb that volatility. In an AI agent interface, merchants may bid to be “the answer.” That looks less like buying ads and more like paying for shelf space at a retailer. Over time, that can drive up what you might call AI shelf rent, because only products with the highest lifetime value can afford consistent placement.

Assume Meta charges a 2% to 5% referral fee on attributed sales or sells preferred placement to merchants. On a $200 average order value, that’s $4 to $10 per order. In many categories, that’s competitive with or cheaper than current blended customer acquisition costs. If that math works, merchants will shift budget into the AI layer even if traffic becomes less transparent.

Meta already monetizes user intent through ads. If even 10% of its US ad base shifts toward AI-driven product placement or referral fees, that could translate into billions in incremental high-margin revenue layered on top of a $100B-plus ad engine. There’s no need for warehouses or inventory. Meta would simply control the traffic and take a cut.

For consumers, search costs drop close to zero. Instead of opening 20 tabs, you ask one question. Lower friction builds habits fast. If 60% of Americans already used AI last year, this shift isn’t theoretical.

For OpenAI and Google, this raises the stakes.

OpenAI has strong conversational depth but limited first-party commerce data. Google has deep commerce data but weaker social identity compared with Meta’s logged-in ecosystem. Meta has identity and distribution. If it adds seamless payments next, it could compress the entire funnel from discovery to transaction into one interface.

What to watch next

Watch for payments integration first.

If Meta enables in-app checkout, it moves from referral traffic to full transaction control. Hardware could also play a role in that ecosystem expansion, especially as Meta revives its wearable ambitions, including efforts like its plan to revive a smartwatch project targeting a 2026 debut, potentially creating another AI-enabled commerce touchpoint.

Watch for referral fee disclosures second.

If Meta confirms it’s taking a cut of merchant links, analysts will start modeling AI as a commerce layer, not just an engagement feature.

Watch for signals that ads influence recommendations. If advertisers get priority placement inside AI answers, regulators will pay attention.

If Meta rolls this out across Instagram and WhatsApp in a big way, product search traffic around the web could feel it fast. Within 12 months, we could see fewer people starting their shopping journeys on traditional search. That hits retailers, ad tech platforms, and any business that depends on Google-driven traffic.

The next 6 to 24 months are going to decide who owns digital intent. AI agents are starting to replace the old homepage. If you control that interface, you control the margin.

I’m betting the disruptors come out on top. And if Meta AI shopping becomes the default way consumers discover products, Meta just put itself back in the driver’s seat of digital commerce.

Meta (META) has a Disruption Score of 4. Click here to learn how we calculate the Disruption Score. 

Meta is also part of the Disruption Aristocrats, our quarterly list of the world’s top disruptive stocks.