Four Whale Funds Put Nearly $493B Into The AI Mega-Cap Five In Q4 2025

Four major 13F managers put nearly $493B into just five AI-linked mega-cap stocks in 2025Q4. Across Capital World Investors, Capital International Investors, Capital Research Global Investors, and Wellington Management Group, the combined disclosed value in Apple, Microsoft, Nvidia, Broadcom, and Amazon reached $492.81B. That number is too large to dismiss as background exposure.

• Biggest basket owner: Capital International Investors committed $143.50B to the five-stock group.
• Tightest top end: Capital Research Global Investors carried the highest top-five concentration at 26.7% of assets.
• Most balanced mix: Capital World Investors spread its basket across five names without letting one exceed 5.8% of assets.
• Highest conviction anchor: Broadcom reached 7.70% of assets at Capital International Investors.
• What matters: The comparison shows how large institutions built AI exposure through familiar mega-caps rather than through speculative fringe names.

The Basket Is Enormous, But Not Evenly Built

The combined number sounds dramatic because it is. Yet the more useful insight is how differently each manager built the same broad theme. Capital International Investors leaned hardest into the basket with roughly $143.50B, while Wellington Management Group still allocated more than $102.60B despite a far flatter overall quarter. That tells you the AI mega-cap trade was not a single consensus position expressed in a single way.

Instead, these filings show four versions of the same institutional judgment. The market's most liquid AI-adjacent names had become the easiest place to hold size, preserve quality, and still capture secular growth. That is why the basket spans platform software, hyperscale cloud, smartphone ecosystems, semiconductor infrastructure, and AI compute demand without feeling random.

Microsoft, Nvidia, And Broadcom Did The Heavy Lifting

On a combined basis, Microsoft and Nvidia were the largest recipients of capital in this group, while Broadcom remained essential because it was the clearest single-stock anchor for two of the four funds. Apple still drew meaningful capital, but it functioned more as a durable platform exposure than a pure AI acceleration trade. Amazon rounded out the basket as the cloud and infrastructure leg.

The underlying point is not that every manager agreed on the same winner. It is that each manager trusted the same liquidity tier. When institutions need to deploy tens of billions without sacrificing flexibility, they cluster in names whose balance sheets, free cash flow, and market depth can absorb that size. AI enthusiasm may have provided the narrative, but liquidity and quality provided the architecture.

The Same Theme Produced Different Portfolio Shapes

Capital World used the basket as a broad support system, pairing it with one of the largest quarter-over-quarter Netflix share increases in the group. Capital International looked more anchored, using Broadcom and Microsoft as heavier centerpieces while still adding names such as Bank of America and Caterpillar elsewhere. Capital Research Global combined a heavy AI core with a sharp Netflix buildout, while Wellington kept overall AUM almost flat but still leaned into the basket through Nvidia, Microsoft, Apple, and Amazon.

That diversity of expression matters for readers who think all big funds are making the same trade. They are not. They are often using the same liquid tools to support different surrounding theses. One manager may be using the basket to stabilize a high-turnover book. Another may be using it as the core around which it adds industrials, defensives, or software names. The common ownership does not erase the strategic differences.

What Investors Should Take From The Comparison

The most important conclusion is that AI leadership in 2025Q4 remained institutional, scalable, and concentrated in the very largest public equities. Retail investors looking for a hidden AI signal would have found more value in the portfolio shape than in the stock list itself. Everyone already knew the names. The edge was seeing how much balance-sheet space they occupied and how the surrounding rotation changed around them.

That is why cross-fund comparison beats single-fund reading here. A one-fund filing can tell you that Broadcom or Nvidia mattered. Four filings tell you the whole manager class was still using the same mega-cap layer as its primary AI transport mechanism. That is the sharper signal.

Questions Investors Are Likely To Ask

Why focus on just five stocks?

Because those five names captured nearly $493B across the comparison set and formed the most scalable AI-linked capital stack in the filings.

Which fund leaned hardest into the group?

Capital International Investors had the largest five-stock basket value in dollar terms, while Capital Research Global had the highest surrounding concentration profile.

Does this mean every fund had the same thesis?

No. The overlap in names masks very different surrounding rotations, which is exactly why cross-fund analysis is useful.

Why does liquidity matter so much here?

Because institutional managers need names that can absorb billions of dollars without forcing them into illiquid, thesis-pure but impractical positions.