OpenAI is projected to spend about $600 billion on computing infrastructure by 2030, underscoring the rising costs of scaling advanced AI systems.
For high-net-worth individuals and family offices searching for a balance between capital preservation and long-term wealth creation, private infrastructure can be a compelling option. Speaking to ...
No matter how much wealth their clients build from big-cap technology stocks, advisors continue to seek stable investments that provide income and durability. Infrastructure is increasingly filling ...
At this week's AI Impact Summit, Indian firms announced plans to invest over $200 billion in AI infrastructure to boost affordability and accessibility for everyone.
Furthermore, owners are now requiring modern infrastructure to be smart in design, construction, and maintenance. They’re also requesting that the design incorporate well-organized data, optimized ...
Over the past decade, private infrastructure AUM have skyrocketed, more than quadrupling to an impressive $1.5 trillion in 2024, reflecting 5% growth from the previous year and a 16% CAGR over the ...
India is ramping up shared AI compute, adding 20,000 GPUs as part of a broader push to attract global AI investment.
As the low-carbon transition advances, investors are taking more sophisticated approaches to integrating climate considerations across asset classes, addressing both risks and opportunities. Global ...
A wastewater treatment plant demonstrates the size and high cost of U.S. infrastructure systems that the American Society of Civil Engineers says are improving overall but remain vulnerable without ...
Sands Capital Management, LLC‘s Technology Innovators Fund released its Q4 2025 investor letter for “Technology Innovators Fund”. A copy of the letter can be downloaded here. The Fund delivered mixed ...
Microsoft held a news conference on Thursday to announce their next infrastructure investment in Wisconsin. The tech giant is investing an additional $4 billion to further expand its planned data ...
So what's driving this wave? At its core, it's the growing need for specialized AI hardware, software, and physical facilities required to power today's sophisticated AI applications. While ...
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