Author: Outlier Ventures
Translated by: Felix, PANews
The accelerated integration of AI and decentralized technological infrastructure is fundamentally changing the entire landscape of the internet.
This powerful synergy is giving rise to a new era where autonomous AI agents are no longer just a futuristic concept but are about to become a reality, redefining how we interact with the internet and conduct economic activities.
However, amidst the current hype surrounding agents, the real question is: how will the future develop?
Agents as a New Interface Designed for Delegation
These intelligent systems can interpret user intent and execute complex tasks with minimal human intervention, marking a significant transformation that unleashes limitless possibilities for innovation across various industries. The framework of the paper “The Post Web” and the expectations for the evolution of the current web paradigm provide crucial context for understanding and leveraging the rapidly evolving field of AI agents.
The core idea of agents, as discussed in the paper, revolves around delegation. Users no longer need to manually click and browse the internet; instead, they delegate their intent to AI agents, which operate on their behalf within services, infrastructure, and markets.
This shift opens up tremendous opportunities, primarily for the tools and infrastructure needed to drive agent systems. A significant demand is expected for:
Agent software development kits and training frameworks
Orchestration layers for multi-agent coordination
Secure deployment environments
Tools for defining, validating, and monitoring agent behavior
As the number and variety of agents surge, the need for systems that can manage complexity and ensure trust will also grow
Building Trust in Autonomous Agents
The successful adoption of autonomous agents hinges on establishing unwavering trust. This requires the development of robust security protocols and transparent verification mechanisms, potentially leveraging the immutable characteristics of distributed ledger technology (DLT) to ensure agents act according to user intent and effectively mitigate the risk of malicious behavior. On-chain verification of agent behavior will enable:
Transparent audit trails
Cryptographic guarantees of compliance
Mitigation of malicious actions
Agent reputation and accountability
The intent economy relies on these mechanisms, as trust is key to achieving scalability.
The Rise of Specialized AI Agents
In the envisioned intent economy, the internet will be optimized around addressing user intent, significantly driving the demand for specialized AI agents tailored to specific needs and use cases.
Personal delegation agents: handling everything from scheduling to finances
Financial agents: executing decentralized financial transactions and managing digital assets
Data and research agents: collecting and organizing high-quality data
DAO governance agents: participating in voting and decentralized governance
Each specialized domain creates new opportunities for entrepreneurs.
The Agent Stack
Agents do not appear out of thin air. They require a complete ecosystem to operate, evolve, and unlock real economic value. For entrepreneurs, this is the true frontier: building tools and infrastructure for the agent economy. Here are some of the biggest opportunities:
Agent Marketplaces and Reputation Systems
The rise of AI agents will give birth to a wild west of online services, where not every agent is trustworthy.
Founders who can build marketplace platforms that allow users to find, verify, and deploy reliable agents will have a significant first-mover advantage. Imagine an “app store” specifically designed for autonomous agents:
To compare agents' actual performance (speed, success rate, security), rather than just what they claim
On-chain reputation can demonstrate agents' long-term performance, making it easy to identify reliable and high-risk services
Smart matching engines can connect users in real-time with suitable agents for their tasks
Trust is crucial, and marketplace platforms that can validate trust will prevail.
Personalized Interfaces and the Role of the “Thin Web”
Even in a world driven by agents, humans still crave interaction. This has led to a massive demand for dynamic personalized interfaces that can adjust in real-time based on user intent, preferences, and needs.
Enter the “Thin Web”: unique interfaces generated instantaneously by AI agents, tailored specifically for users.
Imagine a shopping experience akin to personal consulting, games that adjust in real-time based on players' styles, and social applications that showcase networks or communities based on deeper intent signals.
Entrepreneurs building these human-centered layers on top of agent infrastructure will shape the emotional and social fabric of a new era.
The Infrastructure Behind Agents
The operation of agents requires resources: computation, storage, bandwidth, and identity. Centralized bottlenecks hinder scalability and trust. This is where DePIN comes into play:
Distributed computing for agent training and inference.
Decentralized storage for agent memory and data persistence.
Ubiquitous and resilient connectivity layers for coordination between agents.
Building APIs, smart contracts, and dApps that enable agents to autonomously and securely access decentralized infrastructure represents a vast open design space. Clever entrepreneurs are already beginning to build.
These layers collectively form a new digital backbone, the invisible engine room of the agent economy. Constructing this stack is not only a technical challenge but also a once-in-a-decade opportunity to lay the foundation for the future web and define a new era of living.
What’s Next for Agent Innovation?
Unlocking the full potential of AI agents depends on the continuous enhancement of their core capabilities.
Advancements in learning paradigms such as Reinforcement Learning (RL) and Retrieval-Augmented Generation (RAG) will drive this evolution, improving decision-making, situational awareness, and reasoning capabilities. As agents begin to collaborate to solve complex problems, secure and efficient communication and coordination protocols between agents will be necessary, fostering the rise of complex multi-agent systems.
However, innovation cannot happen in isolation. Addressing foundational challenges will unlock new opportunities comprehensively.
First, it is essential to build digital identity and reputation systems for agents from the ground up to ensure accountability and establish trust. As agents gradually integrate into various domains, from personal finance to enterprise operations, a clear governance framework is crucial to prevent abuse and protect users.
At the same time, breakthroughs in privacy-enhancing technologies (PETs) and secure communication protocols are vital for enabling sensitive task delegation without compromising user data.
The future of agent innovation requires not only intelligence but also substantial infrastructure and trust. Those who build the tools, systems, and standards for this emerging layer will not only shape the future of AI but also influence every aspect of future living.
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