Prominent investor Dan Bin shared his latest perspectives on February 4 regarding investment logic for capital markets in 2026 and future trends. In recent years, Dan Bin has achieved top-tier performance among billion-dollar private funds by heavily investing in U.S. tech giants. However, his all-in stance on AI and leveraged bets have sparked some debate.

Reflecting on 2025, Dan Bin views it as a pivotal year for artificial intelligence transitioning from inception to explosive growth. He predicts 2026, the Year of the Horse, will likely witness "a thousand horses galloping" in AI applications. Notable developments include Tesla's fully autonomous cross-country drive in late 2025, which he characterizes as the "iPhone moment" for self-driving technology.

Dan Bin emphasized that investments should flow toward sectors driving economic growth, such as artificial intelligence and biopharmaceuticals, to maximize success probability. Historical financial data shows that over the past century, merely 3% of U.S. listed companies generated most profits while 97% underperformed - a pattern he believes may eventually apply to China's market as well.

The investor articulated that value and growth investing maintain a symbiotic relationship, with growth being particularly crucial. He cited Warren Buffett's late-career tech investments to illustrate the necessity of self-reinvention. Regarding market outlook, Dan Bin expects structural rather than broad-based bull markets, identifying AI as "a decade-long bull market" despite potential consolidation periods similar to internet industry cycles.

He advised investors to focus on niche opportunities within major supply chains including Nvidia, Apple, Google, and Tesla while prioritizing corporate earnings prospects. Dan Bin reiterated that "the risk of missing an era outweighs bubble concerns," emphasizing that investing rewards foresight, conviction, and persistence.

On technological frontiers, Dan Bin revealed insights from leading scientists suggesting photonic revolution as the next breakthrough, given light's superior speed and energy efficiency compared to current GPU technology. He concluded that global competition in AI will intensify as nations prioritize data sovereignty, creating a fundamentally different competitive landscape from previous eras.