Master Leong vs The AI Era: Stuck in the Old Market Cycle
Kelvin at least brings up some sensible points that I can agree with from time to time. But when I came across this YouTuber called “Master Leong”, I honestly felt his investing framework has not adapted well to the AI era and the structural changes happening globally.
Some investors end up buying into the wrong stocks based on Dinosaur's recommendations, then look for reassurance from the same creators and continue paying monthly subscription fees for ongoing "guidance".
He keeps pushing the idea that the US market is a massive bubble about to collapse, while strongly advocating China and Hong Kong stocks almost exclusively. His portfolio focus seems heavily concentrated in Chinese banks, insurance companies, Hong Kong property stocks, and BABA HK.
I won’t go into a detailed view on the potential risks or bad debt concerns within parts of China’s banking and insurance sectors, as there may still be selective opportunities worth considering within the broader space.
Ultimately, it’s a mixed landscape, and each segment needs to be assessed on its own fundamentals and risk profile. Sometimes, the real danger isn’t obvious on the surface—it can be hidden within the books, only becoming clear much later.
The issue is not whether China has value opportunities — it definitely does. The problem is being too one-sided while ignoring opportunity cost and changing market leadership trends.
If a dinosaur has supposedly invested for decades but still has not demonstrated meaningful wealth compounding or achieved strong multi-cycle returns, then it is fair to question whether the strategy is truly effective. Long-term investing is not just about surviving; it is about compounding capital efficiently.
Take BABA HK for example. Even if it is fundamentally a strong company, the stock has largely gone sideways for years. If margin is involved, borrowing costs of roughly 3–5% annually become a significant drag over time. After several years, the effective holding cost can become substantial.
Five years is a very long time in markets. During the same period, many sectors — especially AI-related plays — generated massive upside. When capital is tied up in leveraged positions with limited returns, the real issue becomes opportunity cost, not just valuation.
Dinosaur is playing with margin also introduces structural risk. A sharp downturn, even temporary, can trigger forced liquidation depending on leverage and maintenance requirements. That is the reality of leverage: higher risk does not automatically mean higher returns.
Another concern is the tendency for some investors to reinforce groupthink by repeatedly recycling selective narratives from earnings calls, social media, Bloomberg headlines, TikTok, YouTube, or news commentary without sufficiently stress-testing assumptions independently.
Real investing is not about copy-pasting popular narratives. It is about continuously challenging your own thesis, understanding risk-reward, adapting to structural shifts, and evaluating opportunity cost with discipline.
Ironically, even AI tools like ChatGPT or Gemini can also contribute to groupthink effects because they often reflect consensus information patterns from existing data. Of course, groupthink is not always wrong — sometimes consensus points in the correct direction. The difficult part is distinguishing between genuine long-term trends and narratives that simply sound convincing.
From experience, some market narratives can sometimes be framed in a very negative or dramatic way, which then influences sentiment and leads to sharp price reactions. In some cases, weaker investors may end up selling during the fear phase, while stronger hands accumulate at lower prices.
Certain content creators may also selectively highlight bearish scenarios and connect them with recent events to make their stories more compelling to their audience. A recent example often discussed is around names like Oracle and OpenAI-related narratives.
When the US market experiences a sharp sell-off, some narratives tend to amplify fear among viewers and subscribers, which can further influence sentiment and decision-making.
Some creators create rubbish content primarily for their own benefit, even when similar information is already widely available through tools like ChatGPT or other research sources.
Don’t waste your money subscribing to low-value YouTube investment channels. Better spend it at Muthu Boy prata shop — at least you’ll get something satisfying and real in return.
The more you watch his content, the more likely you are to start agreeing with his views—and that can end up locking your money into low or no-return positions.
Some people may point out that Dinosaur recommended Ping An Insurance, which is up about 100% over the past year. But that comparison ignores the broader market, where other opportunities have already moved 5x, 10x, or even 20x in the same period.
In investing, it’s not just about being “right” on a single pick—it’s about relative performance and opportunity cost.
@Daily_Discussion @TigerStars @TigerObserver @TigerClub @TigerPM
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.
In many cases, what is marketed as “deep analysis” is often just a repetition of publicly available reports and information, packaged in a way that makes it appear more insightful than it actually is. Nowadays can actually obtain from chatgpt.