Meta Is Building AI Shopping Agents. Here's What That Means for Every Business.

Meta has confirmed what the agent economy has been building toward: AI agents that don't just answer questions, but act on behalf of consumers.

The company is testing an AI-powered shopping feature inside Meta AI that generates personalised product carousels, surfaces recommendations based on user data, and moves toward one-click purchasing. CEO Mark Zuckerberg told investors the next generation of AI models will carry "significant implications for commerce," including agentic shopping tools designed to help users find products from Meta's business catalogue without ever leaving the platform.

Meta has also acquired Manus, an autonomous AI agent platform, to accelerate the buildout.

The race is already underway

Meta isn't the only platform making this move. OpenAI has demoed shopping agents powered by GPT-4. Google is embedding similar capabilities into Search and Shopping. Perplexity launched its own AI commerce experience late last year. The AI shopping assistant market alone is projected to grow from $4.26 billion in 2025 to $36.38 billion by 2034, according to Straits Research.

But shopping is just one use case. The broader pattern is the same across every industry: AI agents are moving from answering questions to taking actions.

What this means beyond retail

For enterprise software: Every SaaS platform will need an agent layer. CRM, ERP, procurement, HR systems that can't be orchestrated by AI agents will lose market share to those that can. Salesforce's Agentforce launch in 2025 was an early signal. Microsoft's Copilot agents embedded across the M365 ecosystem confirmed it.

For B2B sales: AI agents are already handling outbound prospecting, lead qualification, and customer onboarding autonomously. Companies like 11x and Artisan have built entire businesses around replacing repetitive sales tasks with AI digital workers.

For customer service: Voice AI agents from companies like PolyAI and Intercom's Fin are handling millions of customer interactions without human involvement. The contact centre is being rebuilt around agent technology.

For professional services: Legal AI agents are transforming contract review and compliance monitoring. Financial services firms are deploying agents for fraud detection, underwriting, and customer onboarding. Healthcare systems are testing agents for clinical decision support and patient triage.

The platform convergence

Every major technology platform is now racing to deploy AI agents:

• Meta is building shopping agents and "personal superintelligence" that acts on users' behalf
• Salesforce launched Agentforce, the largest enterprise agent platform of 2025
• Microsoft has embedded Copilot agents across the entire M365 ecosystem
• Google is integrating Gemini agents into Search, Shopping, and Workspace
• OpenAI is building GPT-4 powered shopping and task completion agents
• Anthropic is developing Claude's agentic capabilities for enterprise workflows
• NVIDIA has launched NemoClaw, an open-source enterprise agent deployment platform

These aren't research projects. They are production deployments from the world's most valuable companies.

What happens next

The agentic AI market is projected to reach $139 billion by 2034, growing at 40.5% per year. Gartner predicts that by 2028, 33% of enterprise software will include agentic AI capabilities, up from less than 1% today.

For businesses evaluating AI agent solutions, or companies building them, the window to establish market position is now. The companies that move early will define the category. The ones that wait will spend the next three years catching up.