{"ok":true,"requestId":"7eaa37d7969ba1cd489598ba","graph":{"graph_id":"mckinsey-agentic-commerce-trends","slug":"mckinsey-agentic-commerce-trends","canonical_slug":"mckinsey-agentic-commerce-trends","canonical_url":"https://www.fodda.ai/graphs/mckinsey-agentic-commerce-trends","readme_url":"https://api.fodda.ai/v1/graphs/mckinsey-agentic-commerce-trends/readme","name":"McKinsey Agentic Commerce Trends","description":"Consumer shopping is rapidly shifting from AI-assisted discovery toward autonomous, agent-executed transactions that demand new retail infrastructure.","curator":"Elizabeth Silliman, Jack Trotter, and Kelsey Robinson","curator_url":"https://www.mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/who-wins-when-ai-does-the-shopping-new-evidence-on-agentic-commerce#/","domain":"Retail & E-Commerce","version":"2026-Q2","public_bucket":"libraries","graph_type":"industry report","graph_sub_type":null,"verticals":["Retail & E-Commerce","Advertising & Marketing","Technology"],"topics":["retail","automotive","consumer","goods","technology"],"suitable_questions":["How does consumer usage of standalone AI platforms compare to retailer AI assistants from discovery to checkout?","Which product categories and global markets are seeing the fastest growth in AI-completed purchases?","What steps should CMOs and retailers take to ensure their product catalogs convert in AI search?"],"example_queries":["How does consumer usage of standalone AI platforms compare to retailer AI assistants from discovery to checkout?","Which product categories and global markets are seeing the fastest growth in AI-completed purchases?","What steps should CMOs and retailers take to ensure their product catalogs convert in AI search?"],"not_suitable_for":[],"selection_summary":"A tightly curated framework of 11 core strategic trends within Retail & E-Commerce including AI-Ready Product Information, Win the AI Consideration Set, Measure and Optimize 24/7, curated by Elizabeth Silliman, Jack Trotter, and Kelsey Robinson to highlight high-conviction shifts rather than raw unvetted volume.","trend_count":11,"evidence_count":9,"article_count":9,"company_count":9,"derived_counts":{"trends":11,"evidence":9,"articles":9,"companies":9,"trend_count":11,"evidence_count":9,"article_count":9,"company_count":9},"last_synced":"2026-11-02T22:30:47.682Z","status":"live","deprecated":false,"freshness_status":"current","last_updated":"2026-11-03","published_date":"2026-11-03","webpage_url":"https://www.fodda.ai/graphs/mckinsey-agentic-commerce-trends","is_playground":false,"headline":"Consumer shopping is rapidly shifting from AI-assisted discovery toward autonomous, agent-executed transactions that demand new retail infrastructure.","subhead":"","geography":["Global"],"company":"McKinsey & Company","available_as":"","icon_url":"","portrait_url":"https://api.fodda.ai/v1/images/proxy?url=https%3A%2F%2Fv5.airtableusercontent.com%2Fv3%2Fu%2F59%2F59%2F1794002400000%2FSifvPoX6eT48cCpQzJmlyQ%2FjxxoFtnR4vTL7C3F2g5b8Uj0Wq627uqQh3eeZETqC4cp3j0kOjrLuBY1xZJeyYdBQFRXggufYiuR13TEGJcyYvShxrrJiGYFHIT-nFmaKwRU9bjhK7h6rgPSk65OCKIIKh2xxlzPUj4wuTmAM9epfw%2FuNLJvQ0rZjvPNQbk9Iab7f6zSLmTCTs2val4ows4SvA","source_url":"","price_per_query":null,"what_it_does":"This graph synthesizes findings from a 21,000-respondent global consumer survey by McKinsey & Company examining the transition from AI-assisted product discovery to agent-executed purchasing. Unlike generic commentary on generative AI in retail, it quantifies exact usage gaps between standalone AI platforms and retailer-owned assistants across every stage of the buying journey. It also pairs behavioral data across demographics and product categories with actionable governance and data-architecture imperatives for enterprise leaders.","key_features":"Cross-market and generational adoption benchmarks across 11 countries including China, India, the US, and Europe. Funnel-stage comparisons between standalone AI tools (ChatGPT, Gemini, Doubao) and retailer AI assistants (Alexa for Shopping). Category-level purchase conversion rates and six strategic imperatives for CMOs and retail leaders","by_the_numbers":"11 trends, 9 evidence items","for_teams_like":"Chief Marketing Officers and brand strategy leaders. Digital commerce and retail product management teams. Search, merchandising, and data architecture strategists","how_to_access":"Available via MCP, API, and Chat. Use graph ID: mckinsey-agentic-commerce-trends","what_contains":"Trend, Article connected by USES_TECHNOLOGY, IN_INDUSTRY, IN_SECTOR, TARGETS_AUDIENCE, EVIDENCE_FOR, FEATURES_BRAND, CONTAINS_TREND, CONTAINS_ARTICLE\n","agent_prompt":"CRITICAL: Use this graph for empirical data and strategic frameworks on how global consumers use standalone AI platforms and retailer AI assistants across the shopping funnel. It provides survey metrics across 11 global markets, category-level adoption rates, and CMO priorities for optimizing brand visibility and transaction readiness in agentic commerce.","skill_phase":null,"skill_tool_name":null,"report_analysis":{"thesis":"Consumer shopping is rapidly shifting from AI-assisted discovery to autonomous, agent-executed transactions, demanding a fundamental re-architecture of retail and marketing strategies.","core_tension":"While global consumers are rapidly adopting AI for direct purchases, outpacing AI-assisted research, retailers face significant architectural and integration hurdles in connecting AI agents to product catalogs. This creates a strategic chasm between burgeoning consumer demand and merchant readiness.","why_it_matters":"This shift redefines the customer journey, requiring brands to invest in AI-ready product data and AI search optimization to secure a place on agent shortlists. Ignoring this trend risks significant market share loss as AI agents become the primary gatekeepers of purchase decisions, even unlocking growth in historically lagging e-commerce categories.","sharpest_signal":"Surge in AI-Executed Purchases","best_evidence":["Nearly a third (29%) of global AI shoppers identify AI chat or search tools as the single biggest influence on their most recent purchase, making AI search 3.2 times more influential than traditional search engines.","The share of US AI users completing a transaction directly within an AI tool jumped 70% year-over-year, rising from an average of 10% across categories in December 2025 to 17% in June 2026."],"discriminative_summary":"This graph provides a crucial executive overview of the pivot from AI-assisted shopping to agent-executed purchases, detailing the strategic imperatives for retailers to adapt their data infrastructure and marketing spend.","matched_human_twin_slug":"nathan-grotticelli-startups-marketing-agentic-commerce","expert_stance_quote":"This report underscores what I've been saying: agentic commerce isn't just about a new text box; it's a complete reimagining of the purchase journey. Brands and startups that grasp the converging stack—MCP, XR, AI agents—and build rich, cross-media experiences, rather than just optimizing for 'AI search,' are the ones who will truly win the next decade of retail. It's an optimistic challenge for founders to change the world.","cross_graph_signals":[],"credibilityAnchor":"McKinsey Agentic Commerce Trends was produced by McKinsey & Company - a global leader in management consulting. Their Elizabeth Silliman, Jack Trotter, and Kelsey Robinson synthesized consumer shopping shifts from AI-assisted discovery to autonomous, agent-executed transactions across retail, automotive, consumer-goods, and technology domains."},"core_tension":"While global consumers are rapidly adopting AI for direct purchases, outpacing AI-assisted research, retailers face significant architectural and integration hurdles in connecting AI agents to product catalogs. This creates a strategic chasm between burgeoning consumer demand and merchant readiness.","matched_human_twin_slug":"nathan-grotticelli-startups-marketing-agentic-commerce","expert_stance_quote":"This report underscores what I've been saying: agentic commerce isn't just about a new text box; it's a complete reimagining of the purchase journey. Brands and startups that grasp the converging stack—MCP, XR, AI agents—and build rich, cross-media experiences, rather than just optimizing for 'AI search,' are the ones who will truly win the next decade of retail. It's an optimistic challenge for founders to change the world.","cross_graph_signals":[]}}