While WT Asset Management is the most granular example, reports indicate other unnamed Asia-based managers also crossed the 100% threshold . The common link was a willingness to take aggressive, concentrated long positions in the AI ecosystem.

The Trades That Powered the Gains

The common thread tying these top performers together was not a single stock but a thematic conviction on the physical layer of AI. Their winning bets fell into three main categories:

• AI Hardware and Semiconductors: Funds piled into chipmakers, fabrication equipment suppliers, and data-center infrastructure companies central to the AI buildout. This included capital equipment names like Lam Research, Applied Materials, and ASML .
• Large Language Model (LLM) Leaders: Direct wagers on companies developing or powering frontier AI models also paid off handsomely .
• The China AI Supply Chain: Regional funds had a distinct advantage. Market observers noted that Asia encompasses nearly the entire semiconductor supply chain, giving local managers a sharper view into supply-side constraints and allowing them to position early across various segments .

The Bigger Picture: A Historic Industry Rotation

While triple-digit returns are extraordinary, these funds were riding the vanguard of a much broader, record-breaking shift by institutional investors.

In April 2026, stock-picking hedge funds surged approximately 6.5%, their strongest monthly performance since at least 1999, while tech-focused hedge funds gained 10.3% . This performance was not limited to one region. Major U.S. multi-strategy firms like Steve Cohen's Point72, Whale Rock Capital Management, and Seligman Investments posted some of their best monthly returns in history from the same semiconductor and AI infrastructure bets .

The foundation for these gains was a radical portfolio restructuring. Goldman Sachs' Q2 2026 Hedge Fund Trend Monitor, which analyzed 1,059 funds managing $4.6 trillion in gross equity positions, revealed an unprecedented concentration :

• Hedge funds pushed semiconductor weightings in their long books to a record 10%, the highest Goldman has ever recorded .
• In a single quarter, funds increased their net tilt to the Information Technology sector by a record 853 basis points .
• This rotation was largely funded by a mass exodus from software, which was cut to its smallest portfolio weight since 2019 .

The one-sided nature of the trade was further confirmed by Bank of America's May Global Fund Manager Survey, which saw "long global semiconductors" named the number one most crowded trade by 73% of respondents—a staggering 49-percentage-point jump in a single month .

Cracks in the Consensus?

Amid the euphoria, late-cycle signals have begun to emerge. By late May 2026, Goldman Sachs Prime Services noted that despite the rally to record highs, some hedge fund clients had started taking profits on semiconductor and equipment makers. The firm characterized this as profit-taking rather than a fundamental shift away from the AI theme, but it occurred against a backdrop of record-high stock prices and elevated inflation data . This tension between historic positioning and incipient risk reduction will likely define the trade in the second half of the year.

While WT Asset Management is the most granular example, reports indicate other unnamed Asia-based managers also crossed the 100% threshold . The common link was a willingness to take aggressive, concentrated long positions in the AI ecosystem.

The Trades That Powered the Gains

The common thread tying these top performers together was not a single stock but a thematic conviction on the physical layer of AI. Their winning bets fell into three main categories:

• AI Hardware and Semiconductors: Funds piled into chipmakers, fabrication equipment suppliers, and data-center infrastructure companies central to the AI buildout. This included capital equipment names like Lam Research, Applied Materials, and ASML .
• Large Language Model (LLM) Leaders: Direct wagers on companies developing or powering frontier AI models also paid off handsomely .
• The China AI Supply Chain: Regional funds had a distinct advantage. Market observers noted that Asia encompasses nearly the entire semiconductor supply chain, giving local managers a sharper view into supply-side constraints and allowing them to position early across various segments .

The Bigger Picture: A Historic Industry Rotation

While triple-digit returns are extraordinary, these funds were riding the vanguard of a much broader, record-breaking shift by institutional investors.

In April 2026, stock-picking hedge funds surged approximately 6.5%, their strongest monthly performance since at least 1999, while tech-focused hedge funds gained 10.3% . This performance was not limited to one region. Major U.S. multi-strategy firms like Steve Cohen's Point72, Whale Rock Capital Management, and Seligman Investments posted some of their best monthly returns in history from the same semiconductor and AI infrastructure bets .

The foundation for these gains was a radical portfolio restructuring. Goldman Sachs' Q2 2026 Hedge Fund Trend Monitor, which analyzed 1,059 funds managing $4.6 trillion in gross equity positions, revealed an unprecedented concentration :

• Hedge funds pushed semiconductor weightings in their long books to a record 10%, the highest Goldman has ever recorded .
• In a single quarter, funds increased their net tilt to the Information Technology sector by a record 853 basis points .
• This rotation was largely funded by a mass exodus from software, which was cut to its smallest portfolio weight since 2019 .

The one-sided nature of the trade was further confirmed by Bank of America's May Global Fund Manager Survey, which saw "long global semiconductors" named the number one most crowded trade by 73% of respondents—a staggering 49-percentage-point jump in a single month .

Cracks in the Consensus?

Amid the euphoria, late-cycle signals have begun to emerge. By late May 2026, Goldman Sachs Prime Services noted that despite the rally to record highs, some hedge fund clients had started taking profits on semiconductor and equipment makers. The firm characterized this as profit-taking rather than a fundamental shift away from the AI theme, but it occurred against a backdrop of record-high stock prices and elevated inflation data . This tension between historic positioning and incipient risk reduction will likely define the trade in the second half of the year.