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Back to News List

Gen Z and Millennials Drive AI Shopping Agent Adoption

October 2, 2025•Lisa Haiss•Original Link•1 minutes
AI
Ecommerce
GenZ

Gen Zers and millennials are leading the adoption of AI shopping agents, with nearly half open to delegating purchases. Guardrails like spending limits and accountability remain crucial.

Key Findings:

  • Nearly half of Gen Zers (47%) and millennials (48%) are at least somewhat likely to use AI agents for shopping, according to a YouGov survey.
  • Gen Xers follow closely at 45%, while only 33% of baby boomers are open to the idea.

Guardrails Remain Essential:

  • Spending Limits: 53% of likely adopters would require approval for purchases under $100, and 28% would need to approve any amount.
  • Accountability: Consumers are split on responsibility for unwanted purchases—33% blame the company, while 36% hold the consumer accountable.

Industry Trends:

  • As generative AI becomes a tool for product discovery, AI-driven purchases are expected to rise.
  • Major players like Google and Amazon are launching home AI products to capitalize on this trend.

Brand Recommendations:

  • Responsible AI Deployment: Brands must monitor for hallucinations, maintain human oversight, and ensure customer satisfaction.
  • Generative Engine Optimization (GEO): Brands should optimize for genAI search discoverability.

Further Reading:

  • Explore the implications of AI assistants in retail media with What the Rise of GenAI Assistants Means for Retail Media.

Related News

October 2, 2025•Almir Vuk

Microsoft Releases Open-Source AI Agent Framework

Microsoft unveils its open-source Agent Framework to streamline AI agent development with enterprise-ready tools and simplified coding.

Microsoft
AI
OpenSource
October 2, 2025•GoDaddy Inc.

GoDaddy Launches Trusted Identity System for AI Agents

GoDaddy introduces a trusted identity naming system for AI agents to verify legitimacy and ensure secure interactions as the AI agent landscape grows.

AI
Cybersecurity
DigitalIdentity

About the Author

Dr. Sarah Chen

Dr. Sarah Chen

AI Research Expert

A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.

Expertise

Machine Learning
Natural Language Processing
Deep Learning
AI Ethics
Experience
15 years
Publications
120+
Credentials
3
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