Source: Bankless

Author: David C

Compiled by: BitpushNews

Agents are making waves across the tech world, but what will happen to crypto and what will happen to them?

AI agents have taken center stage in tech lately, and not just in crypto, as companies race to invest in software that can observe, reason, and act autonomously. These systems, sometimes called autonomous agents, promise to transform everyday human life—one day they might plan our schedules, do our online shopping for us, and even build software without direct human help.

The advent of ChatGPT was a turning point that turned advanced AI from a futuristic idea into a widely used tool, proving that these models can learn and adapt in real time. As developers realized that AI could do more than just answer text prompts — for example, handling tasks like managing a calendar or coding — AI Agents entered the spotlight.

Although still in its early stages, the potential of these systems continues to be recognized. That being said, AI Agents can be difficult to grasp initially. In this article, we will clearly define them, how agents differ from regular “bots” or “workflows,” and then outline their synergy with blockchain.

What exactly are AI Agents?

AI Agents are dynamic software systems designed to handle tasks with minimal human supervision. They use advanced artificial intelligence tools to process data inputs (such as text, images, or blockchain records) to achieve specific goals. Unlike simpler robots that follow strict, rule-based automation, AI agents bring intelligence, adaptability, and autonomy to their tasks.

Agents are often confused with bots, which are simply automated tools that perform functions based on predefined parameters. For example, a bot might follow a script to send an alert, place an order, or collect data when certain conditions are met, essentially running through an "A action triggers B action" workflow. While efficient at repetitive tasks, bots strictly follow the rules set by their creators and lack the ability to adapt or learn.

On the other hand, agents leverage advanced techniques such as Large Language Models (LLMs) to understand context, learn from interactions, and adapt to unforeseen situations.

This autonomy enables them to optimize their approach in real time to better achieve their goals, even in changing environments. By combining automation with intelligence, agents can handle complex tasks that require situational awareness and intent, providing capabilities far beyond the limitations of traditional robots.

Over time, this flexibility could allow them to act as personal assistants, financial managers, or autonomous problem solvers across a variety of applications.

How do AI Agents fit into the crypto space?

While this cycle has been touted as the AI x Crypto cycle for some time, AI agents in particular have become very popular in our industry.

The 2024 cycle will be marked by the convergence of AI and crypto. Decentralized AI is likely to democratize the technology while speculative tokens will flood the market.

While their initial use cases may seem simple, or prompt GOAT or other “chatbots,” the synergies between these technologies are proving to be more fundamental. First, because many agents provide services, they also require payments, which they cannot receive using traditional financial infrastructure. For example, opening a bank account or signing a contract often requires meeting with a banker or notary. Since AI agents are not actually people, they do not have passports or any necessary banking documents — making it difficult for them to interact with traditional finance and receive or make payments.

However, encryption solves this problem.

On the blockchain, it doesn’t matter whether the participants are human or software, which means that agents can own digital assets, pay or receive payments for services, or interact with smart contracts directly, thus solving the limitations imposed on them by traditional financial systems. In addition, once these contracts are deployed, anyone and anything, including AI agents, can use them. This arrangement contrasts with traditional finance, where each new entity must apply and be approved, while on the blockchain, users - whether human or AI - can access all smart contracts running on the blockchain.

Additionally, as many blockchains open source their protocols, AI agents can potentially have a wider set of tools to integrate with, giving them a broader toolbox to accomplish tasks on-chain (or even off-chain), thereby increasing their autonomy and expanding their potential impact.

Beyond enabling the required economic rails for agents, blockchain plays a key role in solving the problem of “black box” AI. As artificial general intelligence (AGI) becomes a matter of when, rather than if, many worry that AI in its current opaque state could create serious imbalances and lead to unintended consequences that pose a significant threat to society. However, by operating on a decentralized network, the operation of AI is transparent and difficult to monopolize, providing checks against abuse or single points of failure. Cryptography can therefore serve as a safeguard against such behavior, making the operations of AI and AI agents verifiable on-chain.

Agency is a big deal

In short, AI agents change the way we think about software and automation by introducing intelligence, adaptability, and independence—expanding the possibilities far beyond the predefined workflows of simple robots.

While agents can operate in dynamic environments, whether involving planning, trading, or interacting with real-world applications, by leveraging blockchain, these agents can overcome the limitations imposed on them by traditional finance, greatly increasing their potential to provide services and achieve goals. Combined with the transparency of decentralized networks, this convergence of AI and crypto promises to usher in an era where agents can confidently navigate financial services and keep their processes verifiable on-chain. As the capabilities of AI agents and blockchain ecosystems continue to evolve, their synergy will reshape the way we approach tasks at scale, both on-chain and off-chain, ushering in a future marked by greater intelligence and higher achievement.