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Construction Industry Faces Challenges in AI Infrastructure Development Due to Outdated Technology

WHAT'S THE STORY?

What's Happening?

The construction industry is facing significant challenges in delivering AI data centers due to reliance on outdated tools and methods. According to a white paper from Revizto, more than a quarter of construction teams globally still use tools like Excel and PDFs, which are not integrated for managing complex projects. This reliance on non-integrated tools is hindering the industry's ability to meet the growing demand for AI infrastructure, which is projected to reach $4 trillion by 2030. The report highlights the need for modern digital infrastructure to support the rapid growth of the global data center market.
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Why It's Important?

The inability to modernize construction technology poses a risk to the broader economic ambitions tied to AI infrastructure development. As AI continues to expand, the demand for data centers increases, requiring efficient and advanced construction methods. The current reliance on outdated tools could slow down infrastructure delivery, impacting industries reliant on AI advancements. This situation underscores the importance of technological adoption in the construction sector to keep pace with global demands and maintain economic growth.

What's Next?

Construction teams may need to accelerate the adoption of integrated digital tools to improve project management and delivery efficiency. Stakeholders in the construction industry might push for investments in technology upgrades to meet the demands of AI infrastructure. This could lead to increased collaboration between technology providers and construction firms to develop solutions that address current challenges.

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