Microsoft's AI-powered open agentic web could redefine the internet
Microsoft's vision of an open agentic web shifts the internet from human-centric to AI-driven interactions, enabling autonomous AI agents to process and act on web content.
At Microsoft Build 2024 (19-22 May), CEO Satya Nadella introduced a transformative vision for the internet: the open agentic web. This concept represents a shift from a human-centric web to one where AI agents autonomously understand, interact with, and act upon web content.
What Is the Open Agentic Web?
Microsoft's open agentic web is a future internet framework where AI agents collaborate across platforms, services, and devices to perform tasks without constant human input. Unlike traditional AI chatbots, these agents work independently, solving problems and making decisions. Enterprises can deploy custom AI agents tailored to their workflows, improving efficiency and automation.
Key Components:
- NLWeb: A new protocol (Natural Language Web) designed to structure web content for AI agents, similar to how HTML organizes content for humans. NLWeb enables seamless AI-to-AI communication and natural language interactions.
- Multi-Agent Systems: Specialized AI agents collaborate to handle complex tasks. For example, customer service could involve one agent retrieving data while another analyzes sentiment.
- Agent2Agent (A2A) Protocols: Facilitate cross-platform communication between AI agents.
Implications for Users and Businesses
For Users:
- Personalized Experiences: AI agents recall past interactions to provide context-aware responses (e.g., proactively updating a soccer fan on FIFA World Cup 2026).
- Automation: Routine tasks like research, trip planning, or content summarization become hands-off.
For Enterprises:
- Efficiency: AI agents streamline customer service, supply chains, and workflows.
- Interoperability: Faster innovation as AI agents collaborate across systems.
Potential Risks
Despite its promise, the open agentic web raises concerns:
- Transparency: Autonomous decisions may lack explainability, eroding trust.
- Bias: AI agents could perpetuate biases in training data (e.g., overlooking female CEO candidates).
- Security: Malicious actors might exploit autonomous agents for data breaches or misinformation.
- Over-Reliance: Reduced human oversight in critical decisions.
Microsoft aims to mitigate these risks through ethical AI development and governance. The open agentic web could redefine digital experiences, but its success hinges on balancing innovation with accountability.
Related News
Kaizen AI Generators Power Continuous Improvement in Tech
Jan Bosch explains how kaizen AI generators enable systems to continuously adapt and improve through real-time monitoring and experimentation.
SF AI Meetup Explores Next Gen Autonomous Agents and ML
SF AI/ML Meetup on Engineering Next Generation AI Systems with autonomous agents and ML architectures featuring industry leaders.
About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.