AI boom drives combined value of top 100 listed companies to $61.9 trillion
EY report: AI boom lifts top 100 firms to $61.9T by June, driven by US tech leaders like Nvidia; Europe’s share shrinks as markets concentrate further.
The AI boom propelled the total market capitalization of the world’s 100 most valuable publicly traded companies to $61.9 trillion at the end of June, an 18% increase since the start of the year, consultancy EY reported. Technology firms were the prime movers, expanding their combined value and reinforcing the role of AI-related products and services in global markets. The EY analysis warns this shift is concentrating corporate wealth in a handful of regions and sectors.
EY: Top 100 firms reach $61.9 trillion by June
EY’s midyear review shows the top 100 companies collectively added nearly a fifth of their value in six months, underscoring the momentum behind AI-driven investment flows. The report measures market caps at the end of June and compares them to the beginning of the year, attributing much of the advance to investor appetite for AI exposure. EY highlights how market valuations have been redirected toward firms closely connected to AI development, deployment and the infrastructure that supports it.
Technology surge led by Nvidia, Alphabet and Apple
Technology companies within the Top 100 rose about 30%, boosting their aggregate market value to roughly $35.2 trillion, according to EY. Nvidia remains the single most valuable company at an estimated $4.8 trillion, followed by Alphabet at $4.3 trillion and Apple at $4.2 trillion, with other major U.S. tech names also occupying the top ranks. The list of largest firms now includes new entrants and long-standing giants, reflecting the premium investors place on AI-related hardware, software and cloud capabilities.
Industrials and resources gain from AI infrastructure demand
Industrial firms also recorded notable gains as many are involved in building data centers, networking hardware and other physical elements of AI infrastructure, EY analysts said. Resource companies posted a 27% increase, driven by higher demand for materials and energy needed to sustain expanding computational capacity. These moves illustrate that the AI boom is not confined to software companies; it extends along supply chains that deliver power, cooling, semiconductors and construction for large-scale compute facilities.
Sector contrasts: winners and laggards within the Top 100
While technology, industrials and resources were clear winners, consumer goods manufacturers and financial firms saw only marginal improvement, increasing roughly 1% over the period. Communications and media companies were the notable laggards, losing value and registering an 8% decline in aggregate market cap. The divergent performance underscores how market participants are allocating capital toward firms with direct exposure to AI growth and away from sectors perceived as less central to the AI transition.
U.S. dominance widens as Europe’s presence shrinks
The United States accounts for 56 of the Top 100 companies, a dominant share that EY says has grown amid the AI-driven rally. China, including Hong Kong, houses 12 of the firms, while the United Kingdom and Japan each contribute five companies to the list. Germany is represented by a single company, Siemens, after notable exits from the ranking left SAP and Allianz outside the Top 100. In total, only 16 companies in the list are based in Europe, highlighting a regional disparity in market value concentration.
EY warns Europe must scale research into global firms
Henrik Ahlers, head of EY Germany, said the AI boom is reshaping global corporate landscapes and that Europe risks playing a peripheral role unless research and industrial strength translate into large, scalable businesses. EY cautioned that further big public offerings from AI-focused companies could amplify U.S. and Asian weightings on global exchanges. The consultancy argued that policy makers, investors and executives must act to convert technological competence into capital-market success if Europe is to close the gap.
Investors and regulators will be watching IPO pipelines and quarterly earnings for signs the trend continues, as additional listings of AI-centered companies could further concentrate value in a small set of markets and sectors. EY’s findings point to a sustained reallocation of capital toward firms tied to artificial intelligence and its underlying infrastructure, a development likely to shape corporate strategy and public policy in the months ahead.