2025年AI消费者崛起_一场由需求侧驱动的万亿美元级变革报告_45页_4mb

Summary of "New Minds, New Markets"

Core Content

This report explores how artificial intelligence (AI) is set to transform consumer behavior and reshape market dynamics by 2030. It emphasizes that AI-friendly consumers will drive a significant portion of purchasing activity, with up to 55% of spending attributed to them. The focus is on understanding the evolving relationship between consumers and AI, particularly how it influences the customer journey across the Learn, Buy and Use phases.

Main Viewpoints

• AI-Powered Consumers Will Redefine Markets: AI will play a pivotal role in redefining how consumers discover, purchase and engage with products and services.
• Consumer Attitudes Vary: Not all consumers are equally receptive to AI. There are distinct groups with varying levels of comfort and trust in AI technologies.
• Three Waves of Market Change: Over the next five years, AI will gradually become more embedded in the consumer experience, leading to three distinct waves of transformation.
• The Agentic Internet: A future where AI agents act on behalf of consumers to autonomously locate, evaluate, purchase and maintain products and services, creating a new digital ecosystem.

Key Information

Four Consumer Groups Based on AI Intensity

1. Early Adopters (17% of respondents):

   • Aged 18-24
   • University educated
   • Have younger families
   • Enthusiastic about new technology but have lower purchasing power

2. Accelerators (Top 25%):

   • Aged 18-44
   • High income
   • University educated
   • Have younger families
   • Will be a driving force in AI market change

3. Agnostics (Middle 50%):

   • All ages
   • No strong opinion on AI
   • Less predictable in terms of AI adoption

4. Anchors (Bottom 25%):

   • Aged 55+
   • Lower income
   • No children
   • Wary and resistant to AI, but their influence will wane as their spending power decreases

Consumer Comfort with AI Across Phases

• Learn Phase:

  • Consumers are most comfortable with AI tools here, with an average Comfort Quotient of 47.
  • Voice assistants and conversational AI are the most trusted tools, especially for Accelerators and Early Adopters.
  • Anchors are more comfortable with visual search.

• Buy Phase:

  • Consumers are least comfortable with AI, with an average Comfort Quotient of 27.
  • There is a strong reluctance to allow AI to make purchasing decisions without direct control.
  • Even AI enthusiasts show hesitation, with comfort levels dropping significantly from the Learn phase.

• Use Phase:

  • Comfort Quotient rebounds to 39, indicating a growing acceptance of AI in post-sale engagement.
  • Consumers appreciate the convenience of automated product maintenance and reordering.
  • However, there is still resistance to fully automated repurchasing due to privacy and control concerns.

Strategic Priorities for Businesses

1. Anticipate and Meet AI-Enabled Consumer Demands
2. Engage with Both Human and Digital Consumers
3. Adapt Business Models and Technologies
4. Build Strategic Partnerships
5. Focus on Trust, Transparency and Privacy
6. Create Seamless and Secure AI-Driven Experiences

Business Implications

• The Learn phase is the best opportunity for businesses to engage with AI consumers and influence purchasing decisions.
• The Buy phase remains a challenge due to consumer reluctance to relinquish control. Businesses must balance automation with user agency.
• The Use phase offers potential for enhanced customer loyalty and new revenue streams through automated engagement and maintenance.
• The agentic internet will be a game-changer, enabling consumers to have personal digital concierges that interact with business AI agents to manage their needs autonomously.
• Businesses that fail to adapt to AI-driven consumer behavior may be left behind, especially in the face of new OEM-to-consumer channels.

Conclusion

By 2030, AI will be deeply embedded in consumer purchasing behavior, driven by a growing segment of AI-friendly consumers. Businesses must prepare for this shift by understanding consumer attitudes, building trust and creating seamless, secure and personalized AI experiences. The report serves as a guide to help organizations stay ahead of the curve and anticipate the needs of a new class of AI-empowered customers.