The global investment landscape is quietly changing. As AI technology moves from conceptual stages to commercial implementation, 2026 may truly be the critical point for deploying related ETFs.

According to market research data, the commercialization of AI technology is expected to unlock over $3 trillion in market value. This is not an illusionary expectation but a real capital flow—major institutions are quietly building positions in niche sectors such as medical AI, autonomous driving, and quantum computing, which are like "secret gardens" in the tech industry chain.

Why should we pay attention to this opportunity now? Comparing it to the explosive growth of the smartphone industry in 2010, investors who bet on related ETFs back then are now reaping substantial gains. The AI market is likely to follow a similar path—from hype and concept to practical applications and profits. Buying the right ETFs at this point allows participation in the benefits of the entire technological revolution without the hassle of picking individual stocks.

However, a warning must be issued here. The risks of policy regulation are often overlooked—many countries are tightening regulations on AI in sensitive areas such as military and facial recognition, and policy changes could cool down an overheated market at any time. Additionally, the pace of technological deployment may fall short of expectations (computing power bottlenecks and data privacy issues are potential obstacles), and market sentiment can be overly optimistic, making it easy for large institutions to harvest gains.

The recommended approach is: avoid going all-in on a single sector; instead, consider allocating some biotech ETFs as a hedge on top of AI-related ETFs. Also, keep a close eye on the Nasdaq Volatility Index as a signal of overheated market sentiment.

Related cryptocurrencies to watch include: $DOT, $AVAX, $ATOM , and other ecosystem tokens that play important roles in this wave of technological upgrades.