Anndy Lian, a seasoned crypto veteran who has navigated the digital asset space since 2012, recently joined Diana from Binance on X Spaces for an exclusive conversation. The focal point of the discussion was his newly launched book, Web4: The Age of Autonomous Intelligence.

This publication is far more than a standard tech manifesto. It serves as a sharp critique of the current state of Web3 and offers a visionary blueprint for the next evolutionary leap in digital infrastructure. As artificial intelligence dominates global conversations, Lian argues that the crypto industry must adapt or risk long-term irrelevance.

The Great Web3 Illusion

Lian does not mince words when evaluating the current state of the crypto industry. Despite years of marketing centered on trustless systems, he argues that Web3 has failed to deliver on its core promise of true decentralization. The code might be decentralized, but the governance structures remain heavily centralized. Human nature, driven by greed and a desire for control, has inevitably seeped into these systems. Furthermore, the barrier to entry in the space is dangerously low.

This environment has allowed bad actors to launch projects that are essentially scams disguised as innovation. Lian believes the industry desperately needs better people and stronger guardrails to protect the original vision of a fair and transparent digital economy.

The Genesis of Web4

The concept of Web4 is not a reactionary trend. Lian began conceptualizing and writing about it as early as 2021, long before large language models became a household topic. He defines Web4 as the intelligence web, a seamless convergence of blockchain technology and artificial intelligence. In this envisioned ecosystem, autonomous intelligence takes on critical roles. AI agents can manage consensus mechanisms, execute complex tasks, and oversee digital assets without human interference. By removing human bias from governance, Web4 promises a level of decentralization that Web3 has so far failed to achieve. Lian posits that if humans continue to run the show, the system will inevitably tilt toward centralized control. Delegating specific governance and operational tasks to autonomous systems is the key to breaking this cycle.

Behind the Scenes of the Book

The journey to publish this book was grueling. Lian revealed that he wrote twenty-three full versions of the manuscript over three years. The initial drafts were essentially a journal of his experiences, serving as an exposé on the deceptive practices of certain Web3 projects. He wanted to call out the tricks companies use to appear decentralized while maintaining centralized control. Over time, the book evolved from a storytelling critique into a comprehensive architectural guide.

This pivot required massive editing. Lian cut approximately forty percent of the content to make the physical paperback viable. The original manuscript was around 150,000 words, which would have resulted in a 500-page book with prohibitive printing and shipping costs. The final physical edition is a streamlined 80,000 words, while the ebook version retains additional diagrams, appendices, and technical graphics that were removed from the print format.

The Reality of AI Agents Today

Despite his optimistic vision for autonomous systems, Lian remains highly pragmatic about the current limitations of AI technology. He points out that many users fundamentally misunderstand how to interact with AI agents. The quality of the output is entirely dependent on the quality of the input. Users must craft incredibly sharp and accurate prompts to get useful results.

A major pitfall is that people tend to treat AI output as absolute truth. Lian warns that asking an AI for a Bitcoin price prediction without providing proper context, historical data, or specific parameters will yield unreliable results. When asked if he trusts AI to manage his personal crypto portfolio, his answer is a firm no. He compares current trading bots to interns with zero market knowledge. Until AI can process live data with flawless accuracy and execute high-frequency trades safely, human oversight remains mandatory for serious financial decisions.

A Bold Prediction for 2035

One of the most striking claims in the book is the prediction that autonomous systems will be responsible for 50% of all digital decision-making by 2035. While this sounds radical to some, Lian draws a direct parallel to Industry 4.0. A decade ago, the idea of fully automated manufacturing plants seemed like science fiction. Today, it is a standard reality in global supply chains. The same rapid acceleration is happening in the digital realm.

The AI economy will fundamentally change how we work and interact within the next five years. Furthermore, Lian emphasizes a critical caveat. Just as Web3 needs AI to achieve true decentralization, AI itself must be decentralized. Allowing a handful of tech monopolies to control the foundational models of artificial intelligence poses a severe risk to global digital freedom.

The Human Element in an Autonomous Future

A common concern regarding Web4 is the fear of losing human control. Lian addresses this by clarifying that the framework remains fundamentally human-centric. Humans will always be the ones to design the roadmap, identify market gaps, and establish the core values of a project. AI acts as a powerful co-pilot.

It takes the human vision and optimizes it, making the deployment faster, more efficient, and more secure. The end product is still designed for human consumption, ensuring that the technology serves humanity rather than replacing it.

Reviving the Crypto Economy

During the audience Q&A segment, the conversation shifted to the broader state of the crypto market. When asked how to attract more users and venture capital back to the space, Lian offered blunt advice. The industry must stop focusing on quick-money meme coins and decentralized finance Ponzi schemes. Venture capitalists are currently so starved for viable technology investments that many are redirecting their funds into food and beverage businesses. To reverse this trend, crypto builders must focus on sustainable, real-world use cases. Integrating AI elements into these projects could provide the necessary edge to attract serious institutional capital.

A community member also asked about Bitcoin native protocols like SRC20 and Bitcoin Stamps. Lian noted that while these projects are decentralized, they currently lack the AI layer and smart contract functionality required to be classified as Web4. Bridging these assets to ecosystems like Solana or Base is a step forward, but the primary challenge remains adoption. Lian advised community-driven projects to focus on building volume, increasing liquidity, and expanding their user base organically. Major exchanges will naturally pay attention once a protocol demonstrates genuine utility and a strong community, rather than relying solely on venture capital backing.

 

Conclusion

Web4 is not merely a rebranding exercise or a fleeting buzzword. It represents a necessary evolution. By marrying the trustless infrastructure of blockchain with the autonomous intelligence of AI, the industry can finally build the fair, transparent, and truly decentralized future that was originally promised.

 

Get your copy of Web4: The Age of Autonomous Intelligence by Anndy Lian