AI Agent Congress 1

AI agent congress was a meetup for AI agent founders to discuss emerging trends, where they think the space is headed, and exchange what they're doing in their own companies to prepare for the future.

( here's Jeremiah recap; he definitely wrote a better blog post Jeremiah Owyang's comprehensive coverage. )

Takeaways

The Big Picture: Two Core Theses

1. Information Comes to You

The days of actively browsing the internet may be numbered. AI agents will proactively gather, filter, and present relevant information to us. This represents a fundamental shift from "pull" to "push" in how we consume information.

2. Information Adapts to You

Content will be dynamically reassembled into whatever interface works best for you - whether that's voice, images, text, or mixed reality. The same underlying information can take multiple forms.

The Emerging Agent Ecosystem

The landscape is rapidly evolving with several key players:

• Tech Giants: Apple and Google are positioning themselves to build the horizontal AI agent that spans their ecosystems
• Foundation Models: Providing the core AI capabilities
• Enterprise Players: Building business-specific solutions
• Startups: Driving innovation in specific niches
• Marketplaces: Platforms like agent.ai and Salesforce agents are connecting supply and demand

Key Infrastructure Layers

Application Layer

• Agent applications and interfaces
• Agent development platforms
• Tools for building and deploying agents

Management Layer

• Agent permissions and security
• Orchestration and arbitration between agents
• Payment systems
• Continuous improvement mechanisms

Data Layer

• Private exclusive data
• Open data commons
• Unified APIs

Four Major Shifts Coming

1. Human Productivity Revolution: AI agents will dramatically amplify what individuals can accomplish
2. AI Colleagues: Tools like Firefly herald a new era of AI-human collaboration
3. B2B2AI: Companies will increasingly interact with customer AI agents rather than customers directly
4. Autonomous Organizations: Fully autonomous entities will emerge as customers and competitors

The Agent Topology Debate

A key question is how agents will be organized:

• Single meta-agent model
• Meta-agent with execution agents
• Swarm intelligence approach

The consensus seems to be moving toward a "personal agent" model - where each person has a primary agent that understands their preferences and delegates to specialized agents as needed.

Critical Challenges to Solve

Standards and Protocols

• Need for common frameworks (e.g. AgentStack)
• Standardized evaluation metrics
• Inter-agent negotiation protocols

Security and Control

• Credential management
• Access revocation
• Anti-abuse measures

User Experience

• Real-time interaction vs. turn-based
• Voice integration
• Personalization at scale

Business Models

• Usage-based pricing
• Distribution channels
• Customer acquisition strategies

Looking Ahead

The most exciting aspect is how this technology will evolve social norms and economic models. We're likely to see:

• Dramatic shifts in advertising and ecommerce
• Companies launching their own agents to interface with customer agents
• New forms of agent-to-agent commerce
• Evolution of agent social structures

The code powering these systems is evolving incredibly rapidly - most of the important agent frameworks have been written in just the last year. While there are still many open questions around standards, security, and user experience, the trajectory is clear: AI agents will fundamentally reshape how we interact with information and technology.

The winners in this space will likely be those who can nail the delicate balance of capability, trust, and ease of use while building bridges between the various emerging agent ecosystems.