英文_GEP_AI代理能走多远_24页_1mb

Report Summary

Key Questions Addressed

• How far will AI agents go in procurement and supply chains?

Key Findings 🛠️

1. Adoption Levels

• 30% of firms are AI Enthusiasts (using AI in 5+ supply-chain functions).
• 40% are Selective Adopters (using AI but cautious about value).
• 20% are Cautious Experimenters (limited use).
• 10% are AI Skeptics (minimal or no use).

2. Effectiveness 🏆

• Planning and forecasting: Highest-rated (75% effectiveness).
• Procurement tasks: Most widely adopted due to structured workflows.
• Transportation and logistics: Lowest adoption rate (1/3 of firms).

3. Barriers 🚧

• Implementation costs and unclear ROI are major obstacles.
• Measuring intangible benefits (e.g., risk avoidance) challenges investment.
• Integration with existing systems is difficult for most firms.

4. Reskilling 👨‍💼💡

• 50% of firms surveyed staff on AI concerns.
• 45% have launched reskilling initiatives.
• Hybrid models (AI + human oversight) are preferred over full automation.

5. Data Silos ⚠️

• 33% use AI only in isolated functions.
• Internal and external data-sharing concerns limit AI’s full potential.

6. Trust & Transparency 🤝

• Concerns over algorithmic bias, supplier distrust, and over-reliance on automation.
• Multi-agent AI systems are adopted by only 10% of firms due to complexity.
• Trust is built through transparency and human-in-the-loop protocols.

Stance

• AI will transform supply chains but focus should be on hybrid models (AI-human collaboration) rather than full automation.
• Success depends on balancing efficiency gains with long-term resilience and trust-building.