Web4: The Future of Autonomous Intelligence with Anndy Lian

Web4: The Future of Autonomous Intelligence with Anndy Lian
I had the pleasure of sitting down with Nick from BitcoinLive to discuss my latest book, Web4: The Age of Autonomous Intelligence. Writing this book was a rigorous journey—I went through 23 versions and trimmed a massive 950-page manuscript down to a readable 350 pages for the hardcover. I didn’t write this for the royalties; I wrote it to spread a critical message about the future of technology.
During the interview, Nick and I covered a lot of ground, but a few core themes really stood out regarding where we are heading.
The Web4 Thesis: AI is the Brain, Blockchain is the Spine
The central premise of Web4 is the perfect marriage between Artificial Intelligence and blockchain. In Web3, we saw a lot of centralization disguised as decentralization, plagued by human greed and flawed consensus mechanisms. Web4 fixes this.
In this new era, AI acts as the “brain,” providing immense computing power and reasoning capabilities. Blockchain acts as the “spine” or nervous system—the immutable trust and security layer. When you combine them, AI agents can operate autonomously, while blockchain ensures every transaction, decision, and movement of funds is transparently recorded and accountable. This synergy eliminates the need for human intervention in daily operations, paving the way for true, uncompromised decentralization.
The Urgency of Decentralized, Open-Source AI
If AI is the brain of Web4, we cannot allow that brain to be monopolized by a handful of massive tech corporations. Currently, centralized AI models can be shut down, censored, or weaponized by the entities that control them.
This is why I strongly advocate for open-source AI. If we want true autonomy, the community must provide the computing power. We are already seeing incredible advancements in open-source models from Asia that are highly accessible and cost-effective. If the West wants to keep up, it needs to embrace cheap, open-source models rather than hiding behind expensive, closed-off ecosystems driven by corporate and government restrictions.
Pragmatism in Government Adoption
Having advised many governments on blockchain policy, I’ve learned that regulators fundamentally want three things: control, tax revenue, and productivity. They don’t want to hear about pure decentralization.
When advising them, I don’t push ideological decentralization; I push practical utility. For example, if a government wants to tokenize Real World Assets (RWAs) like national stocks, I advise them against using a public blockchain like Ethereum or Solana. Public chains expose them to front-running and privacy issues. Instead, I guide them toward private or hybrid blockchains that offer 24/7 operational efficiency and transparent audit trails without compromising national security.
Humans as the “Architects” of Web4
A common fear is that AI will make humans obsolete. I want to reassure everyone: in Web4, humans will not be jobless; we will become “architects.”
We will design the interfaces, protocols, and data layers, and then delegate the execution to AI. Instead of spending eight hours doing manual labor or repetitive digital tasks, AI will handle 90% of the heavy lifting, leaving us with more free time. While semi-automation is here now, I predict full automation—where robotics and AI seamlessly integrate into physical and digital workflows—will mature around 2035. Until then, our job is to learn how to prompt, reason with, and direct these systems effectively.
Macroeconomics and the Bitcoin Outlook
Finally, we touched on the macroeconomic landscape and Bitcoin’s price trajectory. The reality is that crypto is deeply tied to global liquidity and macro factors, particularly oil prices and geopolitical tensions in the Middle East. If oil prices remain high, inflation will spike, and risk assets will suffer.
For Bitcoin to hit $100,000 by the end of the year, we need a favorable macro environment: controlled interest rates, stabilized oil prices, and stimulus checks to inject new liquidity into the market. If those conditions aren’t met and we continue to see a lack of new money flowing in, a correction down to the $44,000 range early next year is highly probable. It all comes down to liquidity.
Embrace the Future
Web4 is not just a buzzword; it is the inevitable evolution of the internet. The internet is about to think for itself, execute for itself, and make decisions for itself. The transition won’t happen overnight, but the foundation is being laid right now.
I encourage everyone to look beyond the hype of Web3, embrace the integration of AI and blockchain, and start thinking like an architect. The future is automated, decentralized, and incredibly exciting.
About Web4 Book:
Web4: The Age of Autonomous Intelligence by Anndy Lian

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

j j j

Beyond the Illusion of Web3: Architecting the Decentralized Future of Web4

Beyond the Illusion of Web3: Architecting the Decentralized Future of Web4

On Roxom TV, Gemmy Wong and I unpacked the realities of the blockchain industry’s evolution. Having spending years navigating the intersections of crypto, government policy, and enterprise innovation, I’ve witnessed firsthand the growing pains of this ecosystem. The central thesis of my new book, Web4: The Age of Autonomous Intelligence, is that the convergence of Artificial Intelligence and blockchain is not merely a speculative narrative—it is the architectural necessity for true decentralization.

The Web3 Decentralization Fallacy
Let’s be brutally honest: Web3, in its current state, is not truly decentralized. Insider token allocations and centralized governance structures have created an illusion of decentralization. This is where Web4 enters the paradigm. Web4 is the marriage of AI and blockchain, where AI acts as the cognitive brain and blockchain serves as the immutable spine. By integrating AI into consensus mechanisms and tokenomics, we can strip away human bias. Imagine an AI DAO where algorithmic agents and human architects vote in a balanced consensus, ensuring the network serves the community rather than a privileged few.
During my time advising governments and major corporations like Hyundai, I’ve seen the stark contrast in how institutions approach this technology. Governments often attempt to regulate decentralized networks by tracking wallets—a fundamentally flawed approach that treats blockchain like a traditional bank. True decentralization means the network cannot be unilaterally audited or controlled. Conversely, traditional giants like Hyundai embrace the high-risk, innovative nature of blockchain, deploying it proactively rather than playing defensive.
Decentralizing the AI Monopoly
Currently, the AI landscape is dominated by a handful of mega-corporations controlling foundational LLMs. This centralization is a massive vulnerability. In a Web4 architecture, we don’t necessarily need to build new foundational models from scratch. Instead, we can deploy autonomous AI agents around existing frontier models to collate data, identify network anomalies, and execute decentralized decision-making. Ultimately, the computational power (GPUs/TPUs) must be distributed across the community. If we despise the centralized control of fiat and Central Bank Digital Currencies (CBDCs)—which I have long argued are merely surveillance mechanisms—we must demand the same decentralized ethos for AI.
Autonomous Economies and Human-Centric Utility
What happens when AI agents interact at scale? They will need a medium of exchange. While they will utilize existing stablecoins and crypto assets, it is highly probable that sufficiently advanced AI swarms will eventually mint their own native currencies.
Beyond finance, Web4’s true value lies in human-centric applications. Consider healthcare: instead of manual tracking, IoT devices continuously monitor biometric data, feeding it to an on-chain AI concierge. This agent autonomously manages your health protocols, stores encrypted medical records on-chain, and schedules interventions. This is the shift from speculative pump-and-dumps to tangible, life-enhancing utility.
Macro Realities: AI IPOs, Liquidity, and the Quantum Horizon
Shifting to market dynamics, we must look at liquidity with a critical eye. The upcoming wave of AI IPOs is creating a massive liquidity sink, drawing capital away from traditional crypto markets. While these stocks will likely surge on day one, treating these early trades as anything other than speculative gambling is a mistake. Driven by inflated valuations and impending investor unlocks, I anticipate an AI bubble correction within 6 to 12 months, echoing the dot-com crash.
Consequently, Bitcoin is facing a severe liquidity squeeze. Lacking immediate macroeconomic catalysts like stimulus or stabilized energy markets, BTC is likely to retrace to a cycle bottom in the $40,000 to $44,000 range this year. Furthermore, we cannot ignore the looming threat of quantum computing combined with AI-driven vulnerability scanning. With cheap energy and advanced AI models, the timeline to break current cryptographic encryption is shrinking. Web4 and future blockchain iterations must proactively integrate quantum-resistant cryptography.
The Path Forward
The future of the internet requires more than just buzzwords; it requires rigorous architectural integrity. I am currently finalizing my PhD research to formally defend the Web4 framework and am exploring the development of a fully open-source, AI-driven blockchain. If we truly believe in the ethos of decentralization, we must build systems that reflect it at every layer. The intelligence gap in Web3 is real, but Web4 is the bridge to a genuinely autonomous, decentralized future.
About my book:
Web4: The Age of Autonomous Intelligence by Anndy Lian

 

 

YouTube link:

 

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

j j j

Anndy Lian: Why Web3 Failed And What Comes Next

Anndy Lian: Why Web3 Failed And What Comes Next
I sat down with content creator Dan for an in-depth conversation about my new book, Web4: The Age of Autonomous Intelligence. I have also grown increasingly frustrated with the decentralization bluff of Web3.
During our chat, we covered a lot of ground, from the bursting AI startup bubble and the rise of Chinese AI models to the regulatory gray areas of platforms like Hyperliquid. But at the core of our discussion was a singular vision: how AI can rescue crypto from its centralized flaws and usher in the era of Web4.
The Web3 Decentralization Bluff
Let us be honest: Web3 is not truly decentralized. When you look under the hood of most projects, the reality is that a handful of VCs and insiders hold the majority of the tokens. They sit in a room, make decisions, and call it a DAO. I have participated in too many governance votes to know that it is largely an illusion. When five entities hold all the power, the network is not decentralized but rather an oligarchy driven by capital and greed.
This centralization is dangerous. If those few individuals are brilliant, the project might survive, but if they make poor decisions, the entire ecosystem can collapse. We need a system that removes human bias and greed from the equation, which brings me to the core thesis of my book.
Enter Web4: AI as the Ultimate Governor
Web4 is the natural evolution of Web3, powered by autonomous intelligence. In my book, I propose a radical but necessary shift where AI must act as the connective and unbiased layer of governance. Imagine a system where the AI brain holds over 51 percent of the governance power.
The AI would not be swayed by insider greed or whale manipulation. Instead, it would analyze data, calculate probabilities, and present unbiased outcomes. The core team and the community would then debate and vote on these AI-generated proposals.
By combining the objective analysis of AI with human consensus, we can create a truly fair, decentralized, and resilient network. AI needs governance, but that governance must be decentralized rather than controlled by monopolized tech giants. By integrating Zero-Knowledge Machine Learning, we can also ensure privacy and verifiable AI computations on-chain.
The AI Landscape: Bubbles, Infrastructure, and the Chinese Advantage
We also discussed the current state of the AI industry. While top-tier AI companies are heading toward trillion-dollar IPOs, the second and third tiers are facing a harsh reality. The funding bubble is bursting as investors now demand tangible results instead of slick presentations.
Furthermore, vibe coding is flooding the space with low-effort projects, much like the memecoin craze. When it comes to the models themselves, the output of US frontier models and Chinese open-source models like Qwen or DeepSeek is nearly identical, with perhaps a 1% difference. Chinese models have a massive long-term advantage due to abundant energy, cheap computing power, and low operational costs. Whoever controls computing power and electricity wins the AI war, and open-source Chinese models are perfectly positioned to dominate the global market.
Crypto’s Future and the Regulatory Reality Check
Despite my deep dive into AI, I still firmly believe that cryptocurrency is the future of money. We must respect regulatory frameworks to ensure long-term success. I expressed concerns regarding platforms like Hyperliquid.
While they are doing an incredible job bringing tokenized stocks on-chain, their aggressive buyback models and lack of KYC raise red flags. You cannot operate a no-KYC platform offering 50x leverage on the S&P 500 and expect to avoid US regulators. Contrast this with Polymarket, which implemented KYC for US users and successfully positioned itself as a tech platform. Understanding regulatory frameworks is what separates a sustainable trillion-dollar market cap from a black swan event. If you understand how regulation works, you avoid the unlimited loops of legal trouble.
AI Detecting AI and the Road Ahead
Finally, we touched on the societal impacts of AI, particularly deepfakes. As AI-generated videos become indistinguishable from reality, it is naive to rely on humans to label their content. The only viable solution is for AI to detect AI. We need decentralized, automated systems to verify the authenticity of media, especially in the context of elections and global propaganda.
I wrote Web4: The Age of Autonomous Intelligence to challenge the status quo. It delves into the technical architecture of Web4 and the ethical implications of autonomous systems. I priced the book at just $1.99 so as many people as possible can understand these critical concepts. The convergence of AI and blockchain is inevitable, and Web4 is where true decentralization finally becomes a reality.
More information about the book can be found at: 

Web4: The Age of Autonomous Intelligence by Anndy Lian

Full video with Dan and Anndy can be found at: 

Anndy Lian is an early blockchain adopter and experienced serial entrepreneur who is known for his work in the government sector. He is a best selling book author- “NFT: From Zero to Hero” and “Blockchain Revolution 2030”.

Currently, he is appointed as the Chief Digital Advisor at Mongolia Productivity Organization, championing national digitization. Prior to his current appointments, he was the Chairman of BigONE Exchange, a global top 30 ranked crypto spot exchange and was also the Advisory Board Member for Hyundai DAC, the blockchain arm of South Korea’s largest car manufacturer Hyundai Motor Group. Lian played a pivotal role as the Blockchain Advisor for Asian Productivity Organisation (APO), an intergovernmental organization committed to improving productivity in the Asia-Pacific region.

An avid supporter of incubating start-ups, Anndy has also been a private investor for the past eight years. With a growth investment mindset, Anndy strategically demonstrates this in the companies he chooses to be involved with. He believes that what he is doing through blockchain technology currently will revolutionise and redefine traditional businesses. He also believes that the blockchain industry has to be “redecentralised”.

j j j