Surging capital demand for AI reshapes investment strategies
January 2026
The world’s largest companies are racing into a new phase of artificial intelligence adoption and investors must now look beyond the major technology stocks to pick winners.
Once only the domain of chip makers and software developers, generative AI has moved from its builders into the hands of everyday users. Its impact is now felt across financial markets, from social media to corporate boardrooms, and from home fridges to underground construction sites.
The story is increasingly consequential for investors. The global AI infrastructure buildout, from data centres to specialised chips, is on track to exceed U.S.$5 trillion over several years. About U.S.$1.5 trillion of that is expected to be raised in high grade bond markets, creating one of the largest financing waves in corporate debt history. The early signs are striking: AI related bond issuances have been oversubscribed and high quality tech firms such as hyperscalers are poised to become even more dominant within major sharemarket indices.
On the flip side, risks are mounting. The rapid depreciation of cutting edge chips raises difficult questions about the longevity of data centre assets. At the same time, the sheer scale of capital needed by 2030 makes it harder for some companies to obtain financing.
As U.S. markets hover near all time highs, fund managers are reducing exposure to mega cap tech names and rotating into other stocks like semiconductor companies, data centres and high quality software makers, while looking abroad to Europe, Japan, China, and Brazil for opportunities.
After years of experimentation, the world’s largest companies are now beginning to report positive returns on generative AI deployments, marking what many analysts describe as the early upswing of a classic J curve: an initial period of heavy investment followed by accelerating productivity and profitability. That shift is already influencing expectations for economic growth. Firms are doing “more with the same,” boosting workforce output rather than replacing workers, though early career hiring in fields like software engineering and customer service is beginning to shift as automation takes hold.
The AI boom may be accelerating but for investors it is important to understand the winners and the risks, which now requires a far broader lens than the technology sector alone.
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