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Alliance Lianchuang: Where is the path for the cryptocurrency industry?

Core Viewpoint
Summary: When the main character of the internet shifts from humans to AI agents, encryption technology may finally find its true demand.
ChainCatcher Selection
2026-08-27 14:05:22
When the main character of the internet shifts from humans to AI agents, encryption technology may finally find its true demand.

Original Author: Imran Khan, Co-founder of Alliance

Compiled by: Jiahua, ChainCatcher

I believe Chris Dixon's judgment is correct. Cryptographic technology, or what people used to call Web3, has added an economic and ownership layer to the internet.

Marc Andreessen hoped to embed payment capabilities directly into browsers during the Netscape era. The early web even reserved the HTTP 402 status code, meaning "Payment Required," and the x402 launched by Coinbase is named after this.

This name also pays tribute to the pioneers who repeatedly attempted to embed financial capabilities into internet infrastructure in the early years. Thanks to Andreessen, who fought this battle for us back in those days.

Netscape once collaborated with Visa to try to integrate payment functions directly into the browser, but it never truly materialized. Although Netscape laid an important foundation for modern internet commerce through SSL, currency itself was left outside the early internet infrastructure.

Later, people gradually realized that commerce would inevitably migrate to the internet, but the entities ultimately carrying online payments remained credit cards and payment platforms like PayPal and Stripe, rather than an internet-native currency system.

Returning to the early days of the crypto industry, concepts such as user-owned assets, permissionless markets, tokenization, decentralized identity, open social graphs, portable reputation, decentralized storage, and programmable finance all hinted at the possibility of redesigning the internet.

A group of early Ethereum community participants proposed that we could reconstruct parts of the internet's structure to give users greater autonomy at the economic level. This is also one of the reasons I entered the crypto industry.

However, over time, under the influence of malicious actors, security threats, and policy restrictions, this original intention has gradually been diluted in the industry's development.

It is precisely in this wave that Chris Dixon proposed his core judgment: decentralization and ownership are the true core of the crypto industry.

His logic is that centralized platforms hold the power of extraction and control. Over time, the incentive mechanisms of platforms will gradually tilt toward the platforms themselves and their shareholders, rather than the product users.

These platforms control distribution, identity, payments, APIs, data, and social relationships, even determining how economic benefits are allocated between users and developers.

Cryptographic technology offers another possibility: allowing key elements such as identity, payments, and data to be carried by open protocols, no longer controlled by a single company; enabling all participants to share in the economic benefits while truly owning their data and assets.

But the reality has proven that most people do not care whether a platform is centralized. They care more about convenience and whether they can obtain what they want in the simplest way.

As long as the product is good enough, people do not mind giving their data to companies like Google, Facebook, Apple, Amazon, and OpenAI.

People like me, who are cypherpunks, care deeply about privacy, anti-censorship, decentralization, and personal sovereignty. But most people are not willing to endure a significantly worse user experience for these principles.

Most people do not wake up each day thinking about whether they own a social graph. They just want products that work well and provide entertainment.

After years of practice, reality has not developed entirely along the path Chris Dixon initially envisioned. Nevertheless, I still believe his direction is correct; it is just that this puzzle is missing the most important piece: the rise of AI.

AI and cryptographic technology are highly complementary. AI needs open economic infrastructure, and cryptographic technology also needs new large-scale demand. The combination of the two fills in the previously missing key link: demand.

AI Agents are the True Demand Side of Open Infrastructure

AI Agents are becoming a new type of participant in the internet. Cloudflare disclosed in 2026 that automated traffic has surpassed human activity for the first time, accounting for about 57% of all web requests. I believe a significant portion of this is related to AI Agents.

Moreover, this trend will continue to accelerate. In the future, most of our interactions with the internet may no longer wait for humans to issue commands sequentially, but rather be initiated proactively by AI Agents.

However, to become "first-class citizens" of the internet, AI Agents must be able to access thousands of services, datasets, and markets without permission and interact directly with counterparties and other Agents, without having to establish customized relationships with each party individually.

This is not about decentralization for the sake of decentralization, nor is it about retracing old paths. It is simply that when the scale of collaboration expands from the human level to the machine level, portability, open access, shared state, and interoperability will inherently generate direct economic value.

What they need is a set of open infrastructure that can be used anytime without permission. They need to establish identities on protocols like Handshake and require programmable currency and asset ownership.

In addition, they may also need persistent storage, portable identities, open social and reputation graphs, verifiable information, permissionless markets, and programmable contracts, as well as open networks or markets for mutual discovery and communication, such as Moltbook, Farcaster, or some entirely new form.

Therefore, my judgment is that most of the concepts proposed by Chris Dixon in "Read Write Own" are directionally correct; the target users are not humans, but AI Agents.

The Next Generation of the Internet is Not Just Cryptographic Technology

The original internet, or Web1, was built on open protocols. Information could be accessed freely, anyone could publish and retrieve content, websites could link freely, and developers could build products without permission. At that time, users were mostly just readers of information.

The subsequent arrival of Web2 turned these readers into creators. Social networks, smartphones, broadband, cloud services, online markets, and large platforms emerged one after another. Billions of people began to create and publish content, moving their businesses online and connecting more closely with each other.

However, platforms also controlled all key elements, including identity, payments, social relationships, data, distribution, and the economic connections between people.

So, what will the next step be?

I do not believe that Web3, or what I call the "next generation of the internet," is just another term for cryptographic technology.

I believe the next generation of the internet will be composed of cryptographic technology, AI, robotics, energy, computing power, and ultimately biotechnology, interwoven in some way.

AI will become the layer of intelligence and interaction; cryptographic technology will become the layer of economy and ownership; robotics will connect the intelligence layer to the physical world; computing power and energy will become the resource layer that supports everything; and biotechnology will increasingly resemble programmable systems, with Neuralink representing one direction of this.

Take decentralized identity, reputation, and social graphs as an example. In the future, AI Agents may need platforms like Moltbook, Farcaster, or some entirely new open platform. They can provide services on these platforms, complete tasks, establish reputations based on actual delivery, form persistent identities on the internet, and build relationships with other Agents.

Decentralized storage is similar. Humans generally do not mind putting files in Google Drive, iCloud, or other cloud services. But AI Agents may require greater autonomy and control, as well as ensure that information persists long-term or has redundant backups, so they may use both decentralized and centralized storage services simultaneously.

For example, IPFS and Filecoin can store content, allowing another Agent to verify whether the retrieved content is identical to the original content.

I am not saying that everything will be decentralized. What I mean is that some of the underlying infrastructure may indeed be useful and can work in conjunction with centralized services like AWS and GCP.

Looking at ownership, I believe ownership may be even more important for AI Agents than for humans. If the entire world is tokenized in some form in the future, the available assets will be vast and highly fragmented, making it difficult for humans to quickly understand and configure these assets.

Currently, AI Agents are still trapped in closed ecosystems controlled by single MCP services or applications. This does not mean that similar Agents cannot be built using MCP, OAuth, A2A, Stripe, Visa, AWS, and traditional databases.

However, with on-chain infrastructure, more assets and markets in the financial world will be able to flow across platforms, be open to the global market, and be directly read by machines. AI Agents can directly access assets and markets and make financial decisions based on goals and risk boundaries set by humans.

Therefore, I believe Dixon accurately pointed out the missing layer of the internet: native ownership.

But the next generation of the internet is not a single technology; it is the result of the interplay of on-chain infrastructure, robotics, AI, biotechnology, computing power, and energy, just as Web2 was the product of smartphones, high-bandwidth networks, centralized applications, and cloud storage.

The truly missing piece in this new architecture is the AI Agent, not humans.

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