AI boom lifts value of world’s 100 largest public companies to $61.9 trillion
EY: AI boom pushed the world’s top 100 public companies to $61.9 trillion by end-June, up 18% in H1 as tech and data-center infrastructure lead gains.
AI Boom Drives Historic First-Half Surge
The AI boom is the dominant force behind a substantial increase in market value among the world’s largest listed companies in the first half of the year. According to a report from consultancy EY, the combined market capitalization of the 100 most valuable public firms reached $61.9 trillion at the end of June, an 18 percent rise since January.
Technology companies were the primary beneficiaries of the rally, and firms tied to AI infrastructure also recorded sharp gains. EY’s analysis shows the shift has concentrated value among a relatively small group of market leaders, reinforcing a pattern of regional and sectoral dominance.
Tech and Infrastructure Lead the Gains
Within the top 100, technology companies surged by roughly 30 percent, bringing their total market value to about $35.2 trillion. Many industrial firms tied to the construction and operation of data centers also posted strong increases, reflecting rising demand for AI compute capacity.
Commodities producers followed with notable gains, while traditional consumer goods and financial companies showed only marginal growth. Media and communications names were the outlier, losing value over the same period, underscoring how investor attention has tilted toward AI-related exposure.
Top Ten Dominated by U.S. Giants and Chipmakers
The ranking of the largest public companies remains led by chipmakers and cloud-platform owners that underpin AI services. Nvidia retained its position as the world’s most valuable company with a market capitalization near $4.8 trillion. Alphabet and Apple followed closely with market values around $4.3 trillion and $4.2 trillion respectively.
Eight of the top ten companies are based in the United States, with Taiwan Semiconductor Manufacturing Company and Saudi Aramco completing the list. The concentration in the top ranks highlights how semiconductor design and cloud infrastructure have become central to investor expectations for AI-driven revenue growth.
U.S. Dominance and Asia’s Growing Weight
Geographically, the United States accounts for the largest share of the top-100 list, supplying 56 companies to the ranking. China, including Hong Kong, contributed 12 firms, while the United Kingdom and Japan each host five companies among the most valuable public firms.
This distribution signals an intensifying regional imbalance in market capital, with North America and parts of Asia gaining relative influence. The clustering of companies with AI-related business models in these hubs underlines the strategic advantage held by markets that combine deep capital pools and large-scale technology ecosystems.
Europe’s Presence Shrinks to a Single Contender
Europe’s representation in the top 100 has contracted, with just 16 companies remaining on the list and Germany reduced to a single entrant, Siemens. Once-included names such as SAP and Allianz have fallen out of the top 100 since the start of the year, illustrating the continent’s diminished weight in the market cap leaderboard.
EY’s Germany head, Henrik Ahlers, warned that Europe risks falling further behind if strong research and industrial capacity do not convert into scalable business models and major capital-market outcomes. He emphasized that research excellence alone will not be sufficient without follow-through into large, market-leading companies.
IPO Pipeline Could Strengthen U.S. Lead
EY pointed to the prospect of further large listings in AI and adjacent fields as a driver that could amplify the U.S. lead. Additional high-profile initial public offerings from AI-focused companies would deepen American dominance on global exchanges and potentially accelerate regional concentration of market value.
Analysts say the combination of private capital flows, robust public markets, and the presence of major cloud and semiconductor suppliers creates a reinforcing cycle that favors markets already ahead in AI deployment. That dynamic could complicate efforts by other regions to catch up quickly.
Investor Focus Shifts to Scalable AI Business Models
Investor attention has shifted decisively toward companies that appear able to monetize AI at scale, whether through chips, cloud compute, or software platforms. This has changed sectoral valuations and tilted capital flows toward firms with clear exposure to AI revenue streams or infrastructure that supports generative AI models.
At the same time, sectors less directly connected to AI—traditional consumer staples and some financial services—have not enjoyed the same uplift, signaling selective investor enthusiasm. The disparity in performance underlines the market’s expectation that AI will reconfigure competitive advantage across industries.
The EY data suggest the market changes driven by artificial intelligence are likely to persist through the rest of the year, with potential for further concentration of value among firms that control chip design, data-center capacity, and platform distribution channels. Continued monitoring of IPO activity and regional policy responses will be critical to understanding whether the current trajectory cements long-term leadership or opens alternative paths for other markets.
