Turning Crisis into Opportunity: How AI, Blockchain, and Evolving Policies are Reshaping the Future of Wealth

Hello, future investors of Diamond Ridge Financial Academy!  

I’m Charles Hanover. It’s great to be here with you in this market full of opportunities and challenges, discussing strategies and real-world applications of quantitative trading. Lately, markets have been highly volatile. But this isn’t just about emotions; there’s a deeper shift happening. Global capital flows are undergoing a major structural transformation, with wealth quietly moving from traditional to digital assets.  

In this environment, tonight’s discussion will start with market trends, break down the logic behind digital economic growth and introduce “Project Ascension”, a collective action plan designed to help each of you find long-term wealth-building opportunities.

Today, the UK stock market saw a sharp drop. The FTSE 100 fell over 120 points at one point, marking its biggest one-day loss this year. It closed down 0.87%, reflecting a major risk-off move. The main trigger? Rising global trade policy uncertainty. With tariff pressures growing, UK sectors closely tied to global supply chains, like airlines, mining and consumer goods, were hit the hardest. Stocks like IAG, JD Sports and Glencore plunged. On top of that, rising labour costs, tax changes and weak consumer demand have been squeezing corporate profits, adding to market uncertainty.

Meanwhile, with all three major indexes weakening, U.S. stocks also struggled, led by tech stocks. The sell-off intensified as markets braced for Trump’s new 25% tariffs, set to take effect this Wednesday. This time, the tariffs apply not just to specific countries but to all non-U.S. manufactured cars, shaking up global trade and manufacturing. Some traders have dubbed it Liberation Day, but in reality, it’s fueling concerns about a deeper economic slowdown.

Macroeconomic data isn’t helping, either. U.S. core inflation in February came in hotter than expected, but consumer spending remained weak. This high inflation + low growth mix is raising fears of stagflation and limiting the Fed’s policy options for the rest of the year. Goldman Sachs just raised its U.S. recession odds from 20% to 35% and lowered its year-end S&P 500 target, signalling growing concerns about valuations and fundamentals.

Both the UK and U.S. markets are facing a tough moment, caught between policy pressure, weak economic growth and declining corporate earnings. In this challenging window, the key is to focus on sectors with long-term value and regulatory tailwinds. The digital economy offers exactly that. Now is the time to position yourself ahead of the next wealth cycle.

As we expected, with tariff policies gradually taking effect, the global supply chain is going through a deep restructuring. This isn’t just a short-term policy shift. It’s a major transformation that’s breaking old international trade patterns and reshaping global capital flows. Capital is now moving fast across the world, no longer guided by traditional manufacturing or consumption power. Instead, technology, innovation potential and data sovereignty are becoming the key factors that redefine the value of resources and production.

In this environment, the downtrend in traditional stock markets is almost inevitable. It’s not just about economic cycles; it’s how capital reacts to a fundamental shift in industries and technology. On one hand, tariffs and global geopolitical tensions are creating policy pressure. But the bigger force at play is the tech revolution. A new wave of technology, led by AI and the digital economy, is rapidly changing industry models and business logic.

AI has been advancing at an explosive pace over the past two years. From increased computing power to breakthroughs in algorithms and real-world applications, every stage is progressing faster than anticipated. Take NVIDIA, for instance. Its computing power has surged by over 200%, laying the groundwork for AI model development. Meanwhile, next-gen AI architectures like DeepSeek have made significant strides in understanding, generating and reasoning, propelling AI from being just a tool to becoming essential infrastructure.

Once AI becomes a core part of production, its impact on traditional industries won’t be temporary; it will be structural. Take Tesla’s smart factories, for instance. Traditional production lines require hundreds or even thousands of workers to operate. But with AI-powered systems, just a handful of people can run the entire production line efficiently. This efficiency boost isn’t just about numbers; it fundamentally changes labour structures, cost models and production logic in manufacturing. As AI takes over key areas like production, logistics and services, traditional business profit models will be completely reshaped, and that’s the real reason why traditional stocks are under pressure while capital is shifting rapidly into tech.

AI isn’t just transforming manufacturing. It’s quickly spreading into transportation, healthcare, education and energy. Self-driving technology is a prime example. AI is now redefining how people travel in a visible way. Instead of relying on human judgment, vehicles use real-time AI calculations, integrating data from citywide cameras, sensors and traffic reports to choose the best routes. However, the deeper transformation here is that this intelligent transportation system needs massive, high-efficiency data networks to function. Traditional centralized databases can no longer keep up with the demands for speed, privacy and security.

Blockchain’s role is becoming even more important. It doesn’t just enable decentralized data storage to ensure tamper-proof and traceable information. It also provides real-time feedback for smart cities through its distributed ledger system. For example, a self-driving car in the city isn’t just using data; it’s also generating it. It uploads real-time information about its route, obstacles and traffic conditions to the blockchain network, helping other cars navigate better. This every car is a node model that makes true city-wide data collaboration possible, turning traffic from congested to smart, from passive scheduling to active optimization.

But blockchain + AI isn’t just about city traffic. There’s a world of potential in healthcare, too. Take the upcoming HGS token project, for example. It aims to combine AI with full human genome data, creating a decentralized biomedical data system for precision medicine based on data sovereignty. This system would allow cross-regional and cross-institutional medical resource sharing while keeping patient data private, making global medical collaboration possible. HGS is built on quantum-resistant encryption, DAG consensus and federated learning, ensuring real-time security while setting a global standard for AI-powered healthcare.

More importantly, as AI evolves at an exponential rate, the amount of data it needs and the speed of data access are also skyrocketing. This exposes major weaknesses in traditional centralized databases: slow access speeds, complex permission management, unclear data ownership, and high-security risks. These issues become even more dangerous in AI-driven systems. In self-driving cars, for example, if data is delayed or tampered with, it’s not just a traffic light mistake. It’s a life-or-death decision. This isn’t just a theory; it’s a real structural risk. That’s why any large-scale AI system in the future must be built on trustworthy data transmission + decentralized governance, which is exactly what blockchain is designed for.

Blockchain’s core strengths, immutability, transparency and decentralization, offer fresh solutions for data ownership, privacy protection and incentive mechanisms. That’s why, despite two years of regulatory crackdowns and market turbulence, crypto assets have remained resilient and continue to grow at a system-wide level. It’s not just about short-term price movements. It’s about the fact that blockchain’s technology, financial structure and economic logic are becoming the backbone of the digital world.

Digital assets are fundamentally reshaping the financial and value systems we know today. This isn’t just hype; it’s the foundation of the next-generation economy. That’s why major economies like the U.S. are pushing for asset tokenization, stablecoin regulations and RWA blockchain integration. These legal and policy moves show that global institutions are not rejecting digital assets. They’re embracing them.

So, when we see SCI (Smart City Index token) skyrocket 4x after launch, it’s not just about price hype. It’s about the bigger industry shift. Self-driving systems are just one piece of the smart city puzzle, but they already represent a trillion-dollar market. Now zoom out to the full-scale transformation of cities, traffic management, energy optimization, data governance and AI-powered automation across multiple cities. The structural tech boom behind this is massive. That’s why SCI is attracting so much capital and why it exploded immediately after launch. It’s the digital gateway to the next-generation city infrastructure.

The HGS project (Human Genome Sequencing) has been gaining traction lately, and many students have asked me privately how big its potential is. I want to look at this from a higher perspective. Autonomous driving and smart cities, no matter how broad their applications, are still about digitizing physical spaces. But HGS is focused on something much bigger: the digital reconstruction of human life. By combining AI, whole genome sequencing and blockchain, it’s building the world’s first decentralized precision medicine network based on sovereign data principles.

This means its core logic isn’t just about upgrading an industry. It’s about completely redefining the entire medical ecosystem. HGS is reshaping every step of the process, from data collection, analysis, storage and exchange to diagnosis, drug development and payments. From personalized diagnosis and AI-driven drug development to epidemic tracking and global health management, HGS targets the most critical and valuable segments of the healthcare industry. Its layered combination of genomic data tokenization, AI-powered reasoning, DAG-based distributed architecture, PoH consensus mechanism and enhanced privacy technology defines its highly advanced technological path and gives it a strong long-term moat.

Looking at market size, HGS is addressing the global demand for personalized healthcare across 8 billion people. Its potential goes far beyond autonomous driving or city-level data platforms, and it could become the foundation of a trillion-dollar industry. Imagine a future where every person’s genetic data is a blockchain asset, not just a marker of personal health but also integrated into medical payments, drug matching, insurance claims and public health decisions.

HGS is designed for real-world adoption, using a framework of edge computing, federated learning and AI-powered clinical models. This gives it deep market penetration and strong execution capabilities. Especially with current policy trends, U.S. regulators like the SEC are starting to support the tokenization of medical data, and major institutions like DigiFT, Fidelity, and BlackRock are already investing in blockchain-based healthcare funds. HGS is a prime example of a project emerging at the right moment in this industry shift. Its growth potential is massive, making it a highly promising investment.

At a higher level, this is all part of a new technological revolution driven by AI and digital economies, fundamentally reshaping traditional industries. New technologies are no longer just tools for improving efficiency; they’re now transforming entire industries and business models. AI and big data are pushing industries like healthcare, education, transportation, energy and city management away from experience-based decision-making and toward algorithm-driven operations. And on a global scale, this wave of innovation is quietly redistributing economic power.

At the same time, we’re seeing major structural issues in the global economy, such as slowing traditional growth, high inflation, soaring national debts, and rising fiscal deficits. In this environment, the old power structures can’t stop the rise of new industries and have already begun shifting their strategies. Governments that once resisted AI and crypto are now actively supporting their development. That’s why we’re seeing a policy reversal lately: on one hand, developed countries like the U.S. are rapidly introducing regulations to legalize digital assets. On the other, key policy meetings, like White House discussions and SEC crypto roundtables, are creating new legal frameworks to support the digital economy.

In the short term, tariff policies have put pressure on the stock market, triggering panic selling in crypto as well. But at a deeper level, these tariffs are actually reshaping global supply chains, pushing inefficient industries out of the way to make room for new technologies and the digital economy. That’s why we’re seeing a clear divergence: traditional markets, especially tech and consumer stocks, have been dropping, while Bitcoin and other major crypto assets are quietly stabilizing and starting to recover.

As shown in the chart, the Nasdaq index has been on a continuous decline, while Bitcoin has already bottomed out and started to recover. Take today’s market as an example: while the Nasdaq dropped over 2% at one point, Bitcoin moved in the opposite direction, rising more than 1.5%. This shows a clear split in market sentiment and reflects how major capital is shifting, voting with their money, by moving funds from traditional stocks into the crypto market, which has more structural growth potential, especially in projects deeply integrated with AI.

Policy trends from last year to now also confirm this shift. The U.S. government has gone from strict crypto regulations to actively pushing for asset digitization laws. Real estate, corporate equity, medical data, and carbon credits are all gradually entering the realm of programmable finance through blockchain. This not only expands the scope of crypto assets but also lays a solid foundation for the explosive growth of new tokens in the coming years.

With both policy and technology driving this shift, projects like HGS (Human Genome Sequencing), which have clear use cases, massive market potential and strong technical barriers, naturally become top investment targets. HGS isn’t just about decentralized precision medicine. It builds a global health data network through an AI + genome data + blockchain framework. The industry behind it could be worth over $10 trillion, making it a key player in the future digital health economy.

That’s why every student should fully understand the deeper meaning of this trend. Investing in new tokens isn’t about speculation. It’s a strategic upgrade in knowledge and value positioning. HGS is about to launch its token, and based on market recognition, institutional interest and tech adoption, it has strong long-term growth potential. Following the trend and seizing the clear opportunities in the new token market is key to achieving high-probability returns during this cycle.

That’s it for today’s session. We’ve systematically covered everything from the core logic of the tech revolution to the U.S. policy shift and the major changes in token investment strategies. We’ve made it clear that in this key phase of economic transition, investing in new tokens, where tech, policy and assets align, is an unprecedented opportunity. Just like SCI surged over 4x after going public, these trend-driven projects are proving the market’s new value perception with real price action. HGS, without a doubt, is one of the most important projects to watch.

More importantly, tomorrow marks the start of April, a key moment as tariff policies and crypto roundtable discussions take effect. Over the next few weeks, the global economy will undergo a major directional shift from policy to capital, from applications to technology. Against this backdrop, we are launching the Project Ascension investment initiative, bringing together like-minded students. This plan focuses on high-quality AI-related token investments with contract strategies as a secondary approach, helping each member build a structured asset growth model and capture the biggest wealth opportunities from this policy-trend convergence.

Project Ascension is more than just an investment strategy. It’s a platform for upgrading knowledge and wealth. We will provide each participant with a customized investment plan for April, covering new token subscriptions, short-term trades, mid-term holdings and contract strategies, along with global policy updates and industry intelligence. This ensures a complete knowledge + execution loop. If you want to be a part of this trend’s rewards rather than just watch from the sidelines, now is the time. If you want to join Project Ascension and start your journey toward financial freedom, contact our assistant ASAP. We will set up a one-on-one strategic plan for you, ensuring you are on the right track at the right time and taking control of your financial future.