{"id":7810,"date":"2026-03-11T10:55:19","date_gmt":"2026-03-10T23:55:19","guid":{"rendered":"https:\/\/tbhconsultancy.com\/sg\/?p=7810"},"modified":"2026-03-11T10:55:19","modified_gmt":"2026-03-10T23:55:19","slug":"ai-is-forcing-a-redesign-of-the-data-centre-business-model","status":"publish","type":"post","link":"https:\/\/tbhconsultancy.com\/sg\/ai-is-forcing-a-redesign-of-the-data-centre-business-model\/","title":{"rendered":"AI is Forcing a Redesign of the Data Centre Business Model"},"content":{"rendered":"

\u201cBetter upfront construction planning helps ensure projects are delivered on time. Data\u00a0centre\u00a0projects are highly time-sensitive, with target delivery timelines of 12 months or less. Completing projects on schedule allows operators to enter the market earlier and capture demand sooner, which is critical for\u00a0maximising\u00a0profitability in a fast-growing AI-driven market.\u201d<\/span>\u00a0<\/span><\/p>\n

TBH Asia Director, Meiske Sompie, was interviewed by\u00a0iTNews\u00a0Asia discussing how the rapid acceleration of AI adoption is reshaping the data\u00a0centre\u00a0business model, as energy, water and regulatory systems struggle to keep pace.<\/span>\u00a0<\/span><\/p>\n

Drawing on 25 years\u2019 industry experience, Meiske highlighted the growing risks facing data\u00a0centre\u00a0operators, including rising costs, power and water constraints and the risk of stranded assets. She also shared why lifecycle-based planning, adaptable design, stronger upfront\u00a0construction\u00a0and ecosystem-wide collaboration are essential to delivering AI-driven capacity sustainably.<\/span>\u00a0<\/span><\/p>\n

Read the full\u00a0interview on the\u00a0iTNews\u00a0Asia website\u00a0here:\u00a0<\/span>https:\/\/www.itnews.asia\/news\/ai-is-forcing-a-redesign-of-the-data-centre-business-model-623112<\/a>\u00a0\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

\u201cBetter upfront construction planning helps ensure projects are delivered on time. Data\u00a0centre\u00a0projects are highly time-sensitive, with target delivery timelines of 12 months or less. Completing projects on schedule allows operators to enter the market earlier and capture demand sooner, which is critical for\u00a0maximising\u00a0profitability in a fast-growing AI-driven market.\u201d\u00a0 TBH Asia Director, Meiske Sompie, was interviewed …<\/p>\n","protected":false},"author":29,"featured_media":7811,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_yoast_wpseo_focuskw":"","_yoast_wpseo_title":"","_yoast_wpseo_metadesc":"TBH Asia Director Meiske Sompie tells iTNews Asia how AI is reshaping data centres, highlighting delivery risks, resource constraints and the need for lifecycle planning.","_yoast_wpseo_opengraph-title":"","_yoast_wpseo_opengraph-description":"","footnotes":""},"categories":[26,815],"tags":[],"class_list":["post-7810","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-articles","category-technology-digital"],"yoast_head":"\nAI is 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