The Crypto Space Isn’t Meant For Humans: AI-Friendly Is The New Instruction

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The Crypto Space Isn’t Meant For Humans: AI-Friendly Is The New Instruction

By Sandra Grabowiec

In 2014, when Web3 was introduced by Ethereum co-founder Gavin Wood, it was seen as the true next step in the internet’s development. This new version offered a decentralized, user-focused environment where individuals could regain control over their data, money, and social interactions. Additionally, it could potentially compensate users for their participation through innovative token economics.

In the course of a decade, as events unfold and clarity sets in, an intriguing perspective has surfaced – Web3 may not have been primarily designed for human use; instead, its structure appears tailored for artificial intelligence agents. This observation, whether deliberate or unintentional, aligns well with the persistent challenge of user experience (UX) being the primary obstacle to widespread adoption of Web3. In essence, if we consider humans as irrelevant factors in this equation, Web3 becomes a seamless endeavor.

Without a moment’s notice, it becomes evident that Web3’s added complexities such as trustless transactions, decentralized infrastructure, and built-in programmability appear to be more advantageous for interactions between artificial intelligence systems. If you ponder this notion, it’s challenging to dispute the idea that Web3’s structure seems tailor-made for a future where AI agents are expected to be the main actors in economic activities.

The AI-to-AI Transaction Paradigm

For a while now, we’ve been moving towards an economic landscape where interactions are primarily driven by artificial intelligence instead of humans. In this new model, human intervention will no longer be necessary for initiating, negotiating, or carrying out transactions. Instead, these tasks will be handled by self-governing AI agents acting on behalf of individuals or businesses.

Picture a scenario where your AI aid is equipped to negotiate and swap resources with other AIs, striving to secure the best deals for you on specific goods or services. In such a world, it’s evident that AI agents could swiftly dominate entire supply chains, functioning efficiently across decentralized systems. This would be an early indication of a novel AI economy model, characterized by scalable microtransactions and real-time pricing mechanisms that adapt dynamically. Remarkably, this isn’t merely speculative – AI-to-AI transactions are currently taking place.

The impact is significant. Artificial intelligence agents can work round the clock without taking breaks for meals or sleep – they operate non-stop. They’re capable of handling vast amounts of data, performing accurate transactions, and managing numerous interactions all at once with ease. However, what they require is robust infrastructure, and it seems that Web3 may play a crucial part in providing this.

Exploring the Architectural Alignments

It’s increasingly clear that Web3’s fundamental features are ideal for the AI economy due to several reasons. For one, its emphasis on trustless transactions means that AI agents perform optimally in systems where trust is explicitly coded and verified, rather than relying on implicit assumptions. Furthermore, Decentralized Ledger Technology (DLT) allows AI agents to carry out their best work without requiring intermediaries or third-party verification.

Decentralized systems, in which no one entity holds power, are ideal for artificial intelligence (AI) agents because they offer these agents the freedom to operate without being restricted by centralized authorities. This freedom allows them to act and move as they please, avoiding the constraints imposed by gatekeepers. However, it’s important to note that not all AI agents may have autonomy; some, like Truth’s Terminal, might still be subject to control.

In a decentralized environment, these autonomous AI agents can perform complex transactions across multiple platforms, protocols, and blockchains. This could form the foundation of a new AI-driven economy, as the goal is to give these agents the opportunity to explore all potential avenues to achieve optimal results.

As an analyst, I find myself intrigued by the concept Outlier Ventures refers to as “The Post Web.” This new paradigm envisions an economy where AI agents focus on fulfilling users’ genuine needs, thereby matching user intentions with potential partners and fostering efficient, value-driven interactions that are less about exploitation or rent-seeking. Indeed, the idea of intent-based AI aligning with individual intentions is not just intriguing but holds immense potential for a more equitable digital landscape in the future.

The Revolution Will Be Found On-Chain

The onchain environment, once seen as a future possibility for AI agents, especially those specializing in trading, is now becoming a reality across the DeFi (Decentralized Finance) landscape. Infrastructure within these protocols is quickly evolving to facilitate AI-driven interactions. Interestingly, even cryptocurrency projects that initially had no connection with AI agents are now shifting their focus towards this area, aiming to challenge and compete with existing AI developments in terms of both intellectual and market influence.

In order to stay competitive, DeFi projects should strive to be compatible with AI agents. They are actively seeking methods to achieve this integration using APIs (Application Programming Interfaces) and SDKs (Software Development Kits). The need for infrastructure that can cater to AI agents, allowing them to engage directly with blockchain networks in activities such as automated trading and decentralized governance, is growing rapidly. Being user-friendly is no longer sufficient; instead, projects must prioritize being AI-friendly.

The Future Outlook

In the years ahead, Web3 could see AI agents becoming the primary drivers of economic activities. Transitioning towards this future state will undoubtedly bring forth fresh challenges and advantages. On one side, there are pressing concerns about responsibility, management, and the role of human labor in a world ruled by machines. Yet, on the other hand, there lies the allure of unmatched productivity and groundbreaking advancements.

In essence, the characteristics of Web3 – being decentralized, trustless, and programmable – seem ideally suited for the era of artificial intelligence. Outlier Ventures aptly describes this by saying that the next ten years of Web3 can be viewed as a process of refining a system of distributed architecture and incentive mechanisms, encompassing smart contracts, token economics, DAOs, and DeFi. Although these complexities might be challenging for humans to manage at scale, they are poised to work seamlessly with AI and the intelligent internet.

As a crypto investor, I find myself in a position of trying to grasp my role within this evolving landscape and witness the unfolding events firsthand.

Author bio

In her role at Singularity Finance, an initiative within the broader SingularityNET network, Sandra Grabowiec leads partnership efforts. This project aims to establish a financial infrastructure specifically tailored for artificial intelligence. It involves tokenizing the AI economy, meaning the representation of assets related to AI as digital tokens, and creating intelligent, multi-asset vaults.

Her adventure into blockchain technology started in 2018, ignited by conference preparations that involved delving into the challenges surrounding technological advancements, using Bitcoin as an example case study. Subsequently, she wrote her thesis on how smart contracts influence business automation in B2C e-commerce. Later, she obtained a Master’s degree in Blockchain and Digital Currency, deepening her knowledge in decentralized technologies.

 

In her role as a speaker, Sandra often discusses the transformation of tangible assets into digital tokens (tokenization of real-world assets) and actively guides newcomers in the Web3 world. She contributes to Polish Blockchain Associations by implementing educational and mentoring programs, and also provides consulting services on go-to-market strategies and product placement within a software company, where she assists clients with their Web3 endeavors.

 

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2025-02-28 17:14