Temasek backs AI infrastructure spending as it expands sector exposure

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Temasek backs AI infrastructure

Highlights

Temasek plans to increase AI ecosystem investments to 15% of its $400 billion portfolio within five years, up from about 6% currently.
Temasek supports hyperscaler AI infrastructure spending, citing strong balance sheets and risk-adjusted returns as AI adoption expands, with notable stakes in Anthropic and OpenAI.
Analysts project hyperscaler capital expenditures to surpass $1 trillion by 2027, while industry debates intensify around AI safety and development pace.

AI investment stance and portfolio strategy

As reported by Reuters, Temasek says it is comfortable with the current level of spending by hyperscalers funding the artificial intelligence buildout. Speaking at the Reuters Investment USA event in Boston on Thursday, Temasek North America Head Jane Atherton says those companies believe their large-scale investments will produce risk-adjusted returns as AI adoption grows.

Atherton says the infrastructure push is supported by some of the strongest balance sheets in the world and that Temasek remains highly positive on AI. Temasek already holds stakes in Anthropic and OpenAI, and earlier this year set out plans to raise its investment in the AI ecosystem to as much as 15% of its portfolio over the next five years, from about 6% now.

Temasek is one of the world's largest state investors, with holdings valued at about $400 billion. Its U.S. investments account for 26% of the portfolio, including significant positions in financial services and technology companies such as BlackRock, Mastercard and Nvidia.

Market concerns and broader industry implications

Atherton's comments come as a selloff in global bonds and expectations of tighter monetary policy raise questions about whether tech companies can sustain vast capital commitments in a period of higher borrowing costs. Analysts forecast hyperscaler capital expenditure will exceed $1 trillion by 2027, driven mainly by demand for expensive chips and data centers needed for computing power.

The pace of AI development is also drawing wider debate beyond financing. Atherton says questions around AI safety need to be addressed by both governments and the companies developing the technology, as calls for a slowdown in development intensify amid warnings from some industry leaders about extreme long-term risks.

Our earlier article on Volantis’ $88 million funding round highlighted how investors are backing startups that aim to remove key AI hardware bottlenecks, particularly the bandwidth limits between GPUs and memory. It explained Volantis’ plan to use laser-based interconnects (VCSEL technology) to link far more memory chips to a GPU, potentially easing supply-chain constraints as AI computing demand accelerates.

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