What Chase Coleman's Portfolio Reveals About the Real AI Winners Today

The Hedge Fund Manager’s Bold Departure From Mainstream Consensus

When billionaire hedge fund manager Chase Coleman disclosed his end-of-quarter holdings through Tiger Global Management’s Form 13F filing, his investment choices told a compelling story about where serious money is really flowing in the AI revolution. Rather than simply following the crowd with the traditional “Magnificent Seven” — the seven mega-cap stocks that dominate market conversations — Coleman’s portfolio construction offers a sharply different blueprint.

The difference is telling. While the popular Magnificent Seven includes Apple, Tesla, Nvidia, Microsoft, Alphabet, Amazon, and Meta Platforms, Coleman’s actual holdings suggest a more nuanced thesis about which companies will genuinely capitalize on artificial intelligence’s massive buildout over the coming years.

Where Coleman’s Big Bets Actually Land

The SEC mandates that hedge fund managers with $100 million or more in assets disclose their holdings 45 days after each quarter closes, giving investors a window into what sophisticated allocators are doing. Coleman’s third-quarter positioning reveals exactly where his conviction lies:

His top holdings make an unmistakable statement about AI infrastructure and enablement. Microsoft commands 10.5% of his portfolio, followed by Alphabet at 8%, Amazon at 7.5%, Nvidia at 6.8%, and Meta Platforms at 6.4%. These five names alone represent a hefty concentration on pure-play AI beneficiaries.

But here’s where Coleman today diverges most meaningfully from retail consensus: he’s also taken substantial positions in Taiwan Semiconductor Manufacturing (4% of portfolio) and Broadcom (3% of portfolio). Altogether, these seven holdings represent 46.2% of his total portfolio — a massive commitment to the AI supply chain and its primary beneficiaries.

Why Apple Gets Left Behind in Coleman’s AI Vision

Apple’s exclusion from this concentrated positioning speaks volumes. The technology giant has lagged significantly in actual artificial intelligence deployment. Despite years of promises about AI features coming to its ecosystem, substantive releases remain thin on the ground. Apple’s current strategy increasingly looks like becoming a client of established generative AI providers rather than a driver of innovation.

Meanwhile, Coleman’s selections in Broadcom and Taiwan Semiconductor reflect a more sophisticated understanding of how AI infrastructure actually gets built. These aren’t the flashy consumer-facing names — they’re the essential plumbing that makes the entire AI revolution function.

Tesla’s EV Headwinds Create an Opening for Infrastructure Plays

Tesla’s exclusion from Coleman’s version of the Magnificent Seven presents a different calculation. While Tesla does possess an AI strategy centered on autonomous driving capabilities and maintains a partnership with xAI, the electric vehicle market has become far less compelling than it appeared just two years ago.

Government subsidies are winding down. Consumer enthusiasm has plateaued. The competitive landscape has intensified. Tesla investors are essentially betting that future ventures like robotaxis and humanoid robots will deliver outsized returns — speculative propositions quite unlike the current revenue generation of the other seven companies in this reconceived grouping.

Coleman’s exclusion suggests a preference for companies already monetizing the AI opportunity rather than placing chips on aspirational bets.

Taiwan Semiconductor and Broadcom: The Real Infrastructure Play

Taiwan Semiconductor Manufacturing stands as the tenth-largest company globally by market capitalization at $1.5 trillion. Its indispensability cannot be overstated — it manufactures chips for virtually every major player in the AI arms race. As data center construction accelerates, Taiwan Semiconductor’s order book should remain robust.

Broadcom is competing directly in the AI accelerator chip space with custom solutions that are gaining adoption as alternatives to Nvidia’s graphics processing units. The company oscillates between seventh and eighth place globally in market value, indicating its substantial scale and influence.

These infrastructure plays offer something Coleman’s portfolio clearly prioritizes: companies already generating significant revenue from the AI transformation, rather than companies whose AI credentials remain largely theoretical.

The Bottom Line: Where Coleman’s Conviction Actually Points

Coleman’s investment positioning suggests that 2026 and beyond will favor companies directly facilitating AI infrastructure and compute rather than those betting on speculative future products. His decision to build a concentrated 46.2% position in these seven names — excluding Apple and Tesla in favor of Broadcom and Taiwan Semiconductor — represents a meaningful statement about where he sees competitive advantage lying.

For investors considering their own positioning, Coleman’s choices offer a framework worth examining. The traditional Magnificent Seven has delivered powerful returns, but the next phase of AI-driven returns may depend more heavily on the essential infrastructure enablers — and less on companies still searching for their genuine AI value proposition.

The market’s consensus picks remain strong. But Coleman’s alternative composition suggests that true believers in the AI transformation are increasingly positioning for supply-chain winners and away from consumer-focused names facing structural headwinds.