The Great Infra Wars: How Web3 is Forging the Future of Decentralized AI | Taipei Blockchain Week 2025

The Great Infra Wars: How Web3 is Forging the Future of Decentralized AI | Taipei Blockchain Week 2025

Taipei, Taiwan – Sept 2025 – As artificial intelligence reshapes the digital landscape, a critical battle is unfolding beneath the surface: the fight to build the infrastructure capable of hosting truly decentralized AI. At Taipei Blockchain Week 2025, the panel “Infra Wars: The Battle to Host the AI-powered Web” cut through the hype, revealing the profound technical and philosophical challenges at the intersection of Web3 and AI. Moderated by Lee Ting Ting, Founder of FansNetwork, the session brought together infrastructure pioneers to dissect how blockchain can solve AI’s most pressing limitations, from computational bottlenecks to data sovereignty crises.

The Speed vs. Decentralization Dilemma: Rethinking Consensus

The panel opened with a fundamental tension: AI demands blistering speed, while blockchain prioritizes decentralization, often at the cost of performance. “We all know AI models have immense complexity, and users care about speed,” noted moderator Lee Ting Ting, framing the core conflict. “How are emerging consensus mechanisms being redesigned to handle AI’s computational demands?”

Jiahao Sun, CEO of Flock.io and a former financial infrastructure lead, argued that traditional blockchain architectures are fundamentally mismatched for AI workloads. “The public chain design predates the AI boom,” he explained. “Even if on-chain transaction speed is fast, a single consensus layer cannot solve the demands of AI.” Sun’s solution lies in modular consensus: “We’re using a multiple and modular consensus mechanism. We built single processors for decentralized storage and computing, but we align all different modules, data service, cloud service, and computation on top of a PoS system. This creates unlimited transaction possibilities and aligns computing with storage.”

Anthurine Xiang of Quarkchain added nuance, distinguishing between monolithic (e.g., Solana) and modular (e.g., Ethereum) chains: “For modular ecosystems, we need a shared data availability (DA) layer. Solutions like Celestia or EigenDA help store data on-chain forever, making it traceable and preventing losses like the infamous NFT storage failures.” Her point was stark: “When centralized storage fails, like when a team stops paying for AWS, your NFTs become broken links. For AI, this is unacceptable.”

JT Song of 0G Labs (ZG) took this further, announcing their new IFT standard (likely “Immutable File Token”): “For AI agents, all data must be stored on our decentralized service and trace the entire training process. This makes data verifiable and tradeable on-chain, a radical shift from traditional ERC-721.” Crucially, Song revealed ZG’s collaboration with China Mobile: “We ran decentralized training for a 100-billion-parameter model faster than centralized alternatives. Decentralized computing isn’t slower, it’s a different paradigm.”

Data Sovereignty: The Privacy Imperative

The conversation pivoted to AI’s data crisis: Big Tech’s monopolization of user data for training models. “How can infrastructure enable true user ownership while allowing decentralized training?” asked Lee.

Jiahao Sun spotlighted federated learning – a Google-originated technique now supercharged by blockchain. “Your phone predicts your typing locally; raw data never leaves your device. But Google controls the aggregation – it’s still centralized. Blockchain changes this: none of the users’ raw data is ever submitted. Instead, we submit model gradients – changes to the AI itself – which merge into a larger model. Everything is transparent on-chain.” He emphasized the breakthrough: “You don’t have to trust a third party; you see the transactions.”

JT Song reinforced this with ZG’s vision: “We’re building full-chain data services. If an AI project uses our IFT standard, all training data is stored in a decentralized manner. Even if the operation team disappears, the AI agent and its data remain self-sovereign and verifiable.” This tackles the “black box” problem of open-source AI: “Models claim transparency, but the data and process remain hidden. Blockchain forces process transparency.”

Anndy Lian, Intergovernmental Blockchain Advisor, injected pragmatism: “Full decentralization remains a big challenge. Security must be managed effectively, no hacks, no losses. But I’ve discussed zero-data AI architecture with Southeast Asian governments. Blockchain can enforce rules and enable fair audits, creating a win-win for AI and Web3.”

The Killer App: Why Decentralized AI Isn’t Optional

The panel’s most heated debate centered on the “killer app” for decentralized AI: Why bother with Web3 when centralized AI works?

Jiahao Sun targeted enterprise pain points: “Privacy isn’t just ‘nice to have’, it’s necessary in banking, healthcare, and public sectors. But mass adoption needs retail applications. Imagine a virtual companion where conversations are secured on-chain. You know no one, not even the platform, can access your private chats. That’s a healing application blockchain enables.”

Anthurine Xiang pushed for Web3’s evolution beyond finance: “Ethereum aimed to be a ‘world computer,’ but most apps are still token-trading. We need diversified use cases: AI agents, decentralized content platforms. Our ‘supercomputer’ infrastructure must enable non-financial apps with mass appeal, faster speeds, more capacity, lower costs.”

JT Song unveiled ZG’s “Air Wars” AI agent marketplace (boasting 2.3 million testnet users): “Agents can evolve, be verified, and classified. This isn’t just about functionality, it’s about ownership. Users control their AI’s data and evolution.”

But Anndy Lian delivered the most provocative insight: “The best way to onboard people to AI + Web3? Teach them how to make money. AI agents that help users make smart trades or generate income will drive adoption faster than ideology. And let’s be honest: today’s ‘Web3’ isn’t truly decentralized. We need Web4, a more decentralized, less controlled, AI-driven future.”

The Road Ahead: Beyond the Hype

As the session concluded, a clear consensus emerged: The “infra wars” aren’t about which chain wins, but how Web3’s core innovations – decentralization, transparency, and user sovereignty – can solve AI’s existential flaws. Federated learning plus blockchain enables private AI training; modular data layers prevent catastrophic data loss; and new consensus models unlock scalable compute.

The panelists acknowledged the journey is nascent. “Papa, this will be a slow process,” admitted JT Song. Anndy Lian tempered expectations: “From a productivity standpoint, putting everything on-chain remains challenging. But give us time.”

The most profound takeaway? Decentralized AI isn’t a niche experiment, it’s the only path to an AI future where users own their data, models are transparent, and infrastructure serves people, not platforms. As Jiahao Sun succinctly stated: “We’re not just building faster chains. We’re rebuilding the entire operating system for decentralized AI.”

In the battle for AI’s soul, Taipei Blockchain Week 2025 made one thing clear: Web3’s infrastructure warriors aren’t just participants in the AI revolution, they’re building its foundation. The “infra wars” have just begun, but the stakes, a truly user-owned digital future, couldn’t be higher. As Lee Ting Ting closed the session: “This isn’t about technology alone. It’s about who controls the future.” With 2.3 million testnet users already engaging with decentralized AI agents, that future may arrive sooner than we think.

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”.

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What’s shaping the markets right now: AI hype, Bitcoin’s calm, and the Fed’s next move

What’s shaping the markets right now: AI hype, Bitcoin’s calm, and the Fed’s next move

Global markets are currently riding a wave of optimism, with risk sentiment surging as investors appear to shrug off a host of economic and political uncertainties. This buoyant mood stems mainly from two key drivers: the anticipation of earlier-than-expected Federal Reserve rate cuts and growing excitement about the potential for artificial intelligence to fuel economic growth.

Beneath this surface of confidence, there are substantial risks that could easily unsettle this delicate balance. From escalating trade tensions to shifting monetary policies and fluctuating commodity prices, the global financial landscape is anything but stable. Adding to the complexity is the cryptocurrency market, where Bitcoin’s price volatility has recently hit its lowest point in over a year, offering a curious contrast to the broader market dynamics.

Let’s begin with the economic and political risks that, despite being overlooked by many market participants, remain critical to understanding the current sentiment. One of the most prominent issues is the resurgence of trade tensions, highlighted by former President Donald Trump’s recent threat to raise tariffs on Indian goods substantially. His reasoning ties to India’s continued purchases of Russian oil, a move that has irked US policymakers amid geopolitical strains.

This isn’t just a bilateral spat between the US and India. It has the potential to ripple across global trade networks, disrupting supply chains and increasing costs for businesses worldwide. India plays a vital role in the global economy, particularly in technology and manufacturing, so any escalation in tariffs could dampen corporate earnings and slow economic momentum. This is a reminder that geopolitical posturing can quickly translate into economic consequences, and investors ignoring this risk might find themselves caught off guard if tensions boil over.

Turning to monetary policy, the Federal Reserve’s next moves are shaping up to be a linchpin for market sentiment. San Francisco Fed President Mary Daly recently indicated that the Fed might need to implement more than two rate cuts this year if the labour market weakens further and inflationary pressures from tariffs fail to materialise.

This comment caught my attention because it suggests a willingness to adopt a more supportive stance, which could bolster markets by lowering borrowing costs and encouraging investment. However, it also underscores the Fed’s challenging position. Cutting rates too aggressively risks reigniting inflation, especially if trade disruptions push up prices. On the other hand, holding back could stifle growth if the labor market deteriorates. Fed is walking a tightrope, and its decisions will likely amplify market swings in the coming months. For investors, this means staying attuned to economic data like employment figures and inflation readings, which will heavily influence the Fed’s path.

AI hype changes things

Meanwhile, the optimism around AI-driven growth is injecting a dose of excitement into the markets, and I can see why. Advances in artificial intelligence are no longer just theoretical. They’re starting to reshape industries. Companies are pouring resources into AI, betting that it will streamline operations, boost productivity, and open new revenue channels.

This enthusiasm is most evident in the tech sector, which has powered a recent rebound in US stock markets. The S&P 500 climbed 1.5 per cent, the NASDAQ jumped 2.0 per cent, and the Dow Jones rose 1.3 per cent, reflecting a clear risk-on attitude. I find this rally encouraging because it signals confidence in innovation as a growth driver. I also think it’s worth tempering expectations.

AI’s economic impact is still unfolding, and while the long-term potential is immense, short-term gains might be overstated. If other risks like trade disputes or policy missteps intensify, the AI narrative could lose its luster, leaving tech-heavy indices vulnerable.

The bond market offers another lens into investor sentiment, and here I see a mix of caution and opportunism. US Treasuries consolidated their gains on Monday after a strong showing the previous Friday, when renewed expectations of Fed rate cuts drove demand. The 10-year Treasury yield dropped 2.4 basis points to 4.192 per cent, inching close to its support level at 4.185 per cent.

Lower yields typically suggest investors are seeking safety, which seems at odds with the equity market’s rally. To me, this divergence hints at underlying unease; some investors are hedging their bets even as others pile into stocks. The US Dollar Index fell 0.4 per cent in response to these lower yields, while gold edged up 0.3 per cent to US$3,373 per ounce. Gold’s modest gain reinforces my view that safe-haven assets still hold appeal, despite the risk-on vibe dominating headlines. It’s a subtle but telling sign that not everyone is fully convinced by the current optimism.

The case with commodities

Commodities, too, are part of this intricate puzzle. Brent crude oil slipped 1.3 per cent to US$68 per barrel after OPEC+ agreed to increase production by over 500,000 barrels per day starting in September.

This move surprised me a bit, given the group’s usual caution, but it could ease inflationary pressures by keeping oil prices in check. For consumers and businesses, cheaper oil is a welcome relief, potentially supporting spending and investment. However, it also raises questions about global demand. If OPEC+ feels confident boosting output, does that mean they see economic growth slowing? I lean toward the idea that this is a strategic play to maintain market share, but it’s a development worth watching. Lower oil prices might give central banks like the Fed more room to cut rates without stoking inflation, indirectly supporting the risk sentiment driving markets.

Now, let’s shift gears to Bitcoin, where an intriguing story is unfolding. The cryptocurrency’s price volatility has plummeted to its lowest level in over a year, a stark contrast to its historically wild swings. According to Blockforce Capital, Bitcoin’s annualised 60-day volatility fell to 28.53 per cent on July 30, the lowest since August 28, 2023. Its 30-day volatility hit 25.26 per cent on July 23, the calmest since October 15, 2023. This happened as Bitcoin’s price oscillated between US$105,000 and US$122,750 in July, per Coinbase data from TradingView.

I find this stability fascinating, especially given the broader market turbulence. Part of it stems from regulatory progress, including the passage of three US House bills on crypto and the enactment of regulations in July, with the GENIUS Act signed into law by President Trump. These steps likely reassured investors, reducing uncertainty.

But there’s more to this story. Institutional players are flexing their muscles, and I see this as a game-changer. Strategy, formerly known as MicroStrategy, acquired US$2.46 billion worth of Bitcoin between July 28 and August 3, increasing its holdings to 628,791 tokens, valued at over US$71 billion. That’s a massive bet, averaging $117,526 per token, and it shows how Michael Saylor has turned his company into a Bitcoin juggernaut.

Similarly, Japan’s Metaplanet grabbed 463 BTC for US$53 million, pushing its stash to 17,595 BTC, worth about $2.02 billion. These firms are treating Bitcoin like a treasury asset, buying even as retail enthusiasm wanes. I think this institutional muscle could steady Bitcoin through choppy waters, though it also ties the crypto’s fate closer to corporate strategies.

My view? Enjoy the ride, but keep your eyes wide open. The next few months could be a wild one.

 

Source: https://e27.co/whats-shaping-the-markets-right-now-ai-hype-bitcoins-calm-and-the-feds-next-move-20250805/

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”.

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BingX Webinar- Future Proofing the Digital Economy: AI and Web3 Synergies

BingX Webinar- Future Proofing the Digital Economy: AI and Web3 Synergies

Discover how artificial intelligence and Web3 technologies are transforming the digital landscape, driving innovation, and generating new opportunities for growth and decentralization.

In a recent webinar hosted by Will, experts Vivian (Chief Product Officer at BingX), Kanging Liu (AI research scientist), Anndy Lian (author and investor), and Gareth Jenkinson (moderator from Cointelegraph) shared their insights on this transformative intersection.

They discuss real-world use cases, future trends, and strategies for staying ahead in the evolving digital economy.

02:02 Panel Self-Introductions
05:06 Redefining Crypto Through Intelligence
15:18 Simplifying Complexity with AI Systems
23:17 The Power of Web4
28:59 What are the most significant recent advancements in AI, and how are they poised to reshape business and company operations?
35:09 Where can AI deliver the first “easy wins” for digital economy in the next 12 months?
40:10 What has surprised you most about AI’s take-up compared with blockchain and DeFi’s early days?
43:05 How might AI tools make it simpler for a complete crypto beginner to get started?
44:17 In Web3 today, which slice feels most overdue for an AI-powered shake-up, and why?
54:10 Beyond trading, which adjacent Web3 vertical stands to benefit most from an exchange-led AI platform, and what collaboration models could unlock that value?
59:57 Audience Q&A

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