AI Agents and Key Technological Pathways for Enterprise-Level Applications
Executive Summary
This article deeply analyzes the five-stage development theory of Artificial General Intelligence (AGI) and the key technological pathways for enterprise-level AI applications, revealing that current AI technology is at a critical turning point from being “reasoners” to “agents.” This transition will reshape enterprise AI investment strategies and technological architecture.
Core Findings:
- • 80-90% of government and enterprise clients’ AI applications are still at the first stage, indicating significant upgrade potential.
- • RAG technology is the most important entry point for enterprise AI implementation, capable of solving over 50% of application issues.
- • Context engineering will replace traditional agent platform engineering, becoming the new core competitiveness.
- • Standardization of the MCP protocol provides a unified solution for the intelligence of enterprise IT assets.