A McKinsey report (24 June 2026) finds generative AI evolving from product discovery to systems that can complete consumer transactions.
Core Trends
- Transactional shift: Generative AI is progressing to complete purchases, not only recommend products (McKinsey, 24 Jun 2026).
- Gen Z adoption: 28% use generative AI tools for shopping; 60% use AI-generated overviews on search platforms (24 Jun 2026).
- Social commerce: Social media is the primary purchasing channel for Gen Z and influences every stage of the buying journey (24 Jun 2026).
Agentic Commerce
- Definition: “Agentic commerce” enables AI agents to act on consumers’ behalf to discover, negotiate and complete transactions.
- Dual front door: Consumers may complete purchases via retailer AI systems or within generative AI platforms (McKinsey, 24 Jun 2026).
Market Signals & Metrics
- Prime Day traffic: Generative AI traffic to US retail sites rose 98.3% YoY on Day 1 of Amazon Prime Day (Adobe, 23 Jun 2026).
- Conversion & engagement: AI-referred shoppers converted 50.7% better and spent 49.9% more time on retail sites (Adobe, 24 Jun 2026).
- Agent uptake: 21% of consumers use AI agents for purchases; 43% among Gen Z (SAP, 24 Jun 2026).
- Usage & spend: Time spent on generative AI apps projected to more than double YoY in 2026; consumer spending expected to exceed USD 4 billion in H1 2026 (Sensor Tower, 22 Jun 2026).
- AI visibility issue: Up to 46% of some retail websites remain unreadable by machines, creating requirements for machine-readable content (Adobe, 24 Jun 2026).
IASPOINT Booster Facts
- Technical enablers: APIs, interoperable transaction standards and machine-readable product metadata are central to AI-enabled purchasing.
- Metrics to watch: conversion rate, time-on-site, AI-referral lift, agent adoption rate and machine-readability index.
- Regulatory vectors: Payment authentication protocols and data‑protection rules will affect cross-border AI transactions.