--- 格式版本: 2 标题: "AI Is Driving Demand – Data Centers Must Rewrite the Rulebook" 原文链接: "https://www.datacenterknowledge.com/data-observability/ai-is-driving-demand-data-centers-must-rewrite-the-rulebook" 发布日期: "2026-08-17" 发布时间校准状态: "found" 发布时间需复核: "否" 发布时间来源: "llm:scrape:strict_markdown_body" 发布时间证据: "AUG 17, 2026" 发布时间校准原因: "正文标题附近有明确日期AUG 17, 2026，且与发现时间一致，其他候选日期均为更早的日期，无证据表明是事件而非发布时间。" 发布时间校准置信度: "1" 发布时间候选数量: 9 发布时间严格候选数量: 9 发布时间原页读取状态: "" 发布时间未找到原因: "" 发布时间校准时间: "2026-08-17T20:35:20+08:00" 发布时间仲裁状态: "confirmed" 发布时间仲裁尝试次数: 1 发布时间仲裁耗时毫秒: 5991 发现时间: "2026-08-17T20:10:18+08:00" 入库时间: "2026-08-17T12:35:35.432Z" 来源平台: "Data Center Knowledge 搜索" 搜索渠道: "source_template" 搜索词: "https://www.datacenterknowledge.com/search?q=Scale-up" 匹配关键词: - "Scale-up" - "AI" - "performance" 相关厂家: - "Meta" - "Google" 相关专家: [] 内容类型: "网页" 抓取工具: "CDP Render" 清洗工具: "CDP Text + Defuddle/Readability 正文提取" 原始附件: [] AI优质: "否" AI打分: 35 AI分档: "非优质" AI质检状态: "不通过" AI打分理由: "文章讨论AI对数据中心建设需求的影响，但未涉及超节点/AI Rack/机柜级系统、核心部件、高速互连、供电、液冷等具体技术或商业信号，属于泛泛行业趋势讨论，缺乏高价值信息。" AI质检模型: "ali-deepseek-v4-flash" AI质检时间: "2026-08-17T20:35:44+08:00" AI主题相关性: 8 AI来源权威性: 8 AI新颖性: 5 AI技术细节: 2 AI商业部署信号: 5 AI完整性: 7 AI摘要: "AI需求激增使数据中心建设跟不上，美国电力使用预计从2024年4GW增至2035年123GW。Aveva专家呼吁抛弃传统18-36个月建设模式，采用数字孪生、统一运营等数字化手段加快交付，并援引巴西EPC公司案例称可减少返工并提升效率。" AI摘要模型: "ali-deepseek-v4-flash" AI摘要时间: "2026-09-07T03:23:12.128Z" 采集批次: "2026年8月17日19点06分47秒" 采集批次ID: "20260817-190647-603" 去重键: "https://www.datacenterknowledge.com/data-observability/ai-is-driving-demand-data-centers-must-rewrite-the-rulebook" --- An Informa TechTarget Publication NEWSLETTER SIGN-UP DATA OBSERVABILITY MANAGEMENT DATA CENTER CONSTRUCTION UPTIME COMMENTARY Insight and analysis on the data center space from industry thought leaders. AI Is Driving Demand – Data Centers Must Rewrite the Rulebook to Keep Up To meet the world’s soaring computer needs, data centers must break free from outdated construction models, writes Aveva’s Gary Wong. Gary Wong,Industry Perspectives March 11, 2026 5 Min Read IMAGE: ALAMY As global AI usage explodes, the worldwide race to build new data centers is on. It’s part of a mass drive to meet rapidly increasing compute demands: AI workloads are accelerating year on year, McKinsey estimates, and construction just can’t keep up. Worldwide demand for AI-ready data center capacity is forecast to rise by 33% annually between 2023 and 2030. By the end of the decade, AI is expected to drive nearly 70% of total demand. US data center power usage will surge from around 4 GW in 2024 to as much as 123 GW by 2035 – a 30-fold leap, driven by AI-optimized workloads. Alongside this, the US data center market is forecast to grow from $208 billion in 2024 to nearly $309 billion by 2030. The scale of investment is staggering. Meta recently announced plans to spend $50 billion on an AI data center in rural Louisiana, while Vantage Data Centers is in the process of securing a $22 billion loan to fund a Texas campus. And this is only the first trickle of what’s fast becoming a flood of AI-driven capacity builds. Related:Next-Gen CEMS: Simplifying Data Center Emissions Tracking North America, which captured more than 40% of global market share in 2024, is firmly positioned at the heart of the AI infrastructure race. But despite these billion-dollar bets, build times for conventional data centers – the physical backbone of AI – remain stuck at 18-36 months on average. The problem lies in the model: today’s builds are bound to outdated, site-by-site approaches, weighed down by red tape, fragmented infrastructure, and legacy power and cooling systems. Meanwhile, AI energy usage is spiraling. Power densities have doubled in two years, while blackouts triggered by demand spikes are expected to increase one hundredfold in the US alone by 2035. The World Needs a New Model for Data Center Growth Meeting soaring demand requires a new approach: data centers that can auto‑scale capacity, reconfigure cooling, and optimize onsite renewable energy sources – all in real time. That means radically rethinking how we build this essential new infrastructure using digital-first, agile construction models. Engineering is already digital-first. Industry 4.0 technologies are now mainstream, with projects being handed over faster. Research shows a clear correlation between cutting-edge tech adoption and shorter construction cycles and lower resource capex. This means data centers that come online quickly and are designed to accommodate future needs. Several technologies are behind the shift. Digital Blueprints, Virtual Modeling, and Simulation Digital tools now speed up every stage of engineering. Designs are mocked up using digital twins and generative design AI, so teams can virtually model entire centers, simulating airflow, thermal loads and failure scenarios before breaking ground. Related:Rack-Based Environmental Monitoring: Benefits, Insights, and Getting Started Data, visualization, and modeling platforms hosted in the cloud bring engineers together in a single integrated workspace, eliminating design clashes and rework. In addition, AI-driven scheduling tools leverage historical data to optimize construction sequencing, dynamically adjusting subcontractors’ deliveries and timetables to mitigate risk. Finally, predictive analytics, modular planning tools and sustainability simulators are reshaping how data centers are brought online. They ensure facilities are not only smarter and more efficient but also environmentally sound from day one. Depending on local conditions, some sites can even generate their own renewable energy and feed excess power back into the grid – turning data centers from energy consumers to active contributors. What’s changing the most is how the technology stacks together. Operators can now access multiple tools through a single-window interface. This integration marks the shift from reactive infrastructure management to proactive and predictive operations – the kind of agility needed to keep pace with AI’s relentless demands. Building Fit-for-Purpose Facilities Starts with Unified Visibility A unified operations center is essentially a system of systems: it integrates real-time and historical data from multiple vendors into actionable dashboards built around performance indicators such as power efficiency, utility costs, and maintenance schedules. Engineers can collaborate on the same 3D models, share feedback instantly, and coordinate tasks and resources in context. For example, Brazil’s AP Consultoria e Projetos demonstrates how transformative this approach can be. By deploying a unified tech stack, the engineering, procurement and construction (EPC) firm can now design and deliver complex capital projects on time and within budget. Using 3D design tools, it overlays laser-scanned plant data with customers’ engineering data, reducing rework time by 29% and field trips by up to 90%. Since project data is managed in the cloud, information is centralized, self-serve, and accessible to every stakeholder. Teams gain full end-to-end visibility, enabling more efficient collaboration. Projects are now delivered nearly 49% faster than before, with streamlined workflows and dramatically reduced waste. Unifying comprehensive financial, enterprise, and operational data into a single pane of glass doesn’t just speed up data center design and construction. Creating new fit-for-purpose facilities also pays dividends after handover, where owners and operators benefit from up-to-date information and can manage costs and energy use, while engineering firms gain recurring revenue from real-time maintenance. Paired with parallel evolutions such as modular design, data center operators can scale operational capacity in response to demand fluctuations and AI workload surges – even as the business grows. With unified operations, data center agility becomes the norm. Digital Technologies Allow Us to Design for Future Instability Agility will be crucial to the future of data centers. Yet many of today’s facilities aren’t keeping up. According to the Uptime Institute, more than half of data centers (55%) experienced outages in the last three years. When asked about the fiscal cost of these outages, more than half of the respondents indicated that such an outage cost more than $100,000. To keep pace, infrastructure must be more resilient, denser in computing, and smarter in energy use. Crucially, data centers must now be designed for instability: they must be built to absorb volatile demand spikes and adapt to unpredictable energy supplies. Digital technologies will be central to this transformation: from AI-powered design and automated construction workflows to intelligent energy systems with real-time optimization, battery storage and onsite renewables that return power to the grid. These innovations will allow data centers to scale faster, perform more reliably, and operate more sustainably – fostering growth without intensifying the sector’s carbon footprint. In a compute environment defined by volatility and acceleration, long-term value will hinge on infrastructure that is adaptive, resilient, and sustainable by design. About the Authors Gary Wong Aveva Gary Wong is Global Segment Leader of Power, Utilities, and Infrastructure at Aveva. Industry Perspectives Want more Data Center Knowledge stories in your Google search results? ADD US NOW Subscribe to the Data Center Knowledge Newsletter Get analysis and expert insight on the latest in data center business and technology delivered to your inbox daily. NEWSLETTER SIGN-UP Recommendations SPONSORED The AI era is defined by pushing the frontiers of what’s possible AUG 17, 2026 DATA CENTER CONSTRUCTION New Data Center Developments: June 2026 by James Walker JUN 03, 2026 ENERGY & POWER SUPPLY Why Data Centers Are Turning to Behind-the-Meter Power by Jack Vaughan APR 15, 2026 COOLING Data Center Cooling Methods: Costs vs. Efficiency vs. Sustainability by Christopher Tozzi OCT 31, 2025 Editor's Choice DATA CENTER SITE SELECTION Virginia Report Finds Groundwater Running Dry for New Data Centers JUL 30, 2026 PHYSICAL SECURITY Data Centers Under Fire: Do Facilities Need Counter-Drone Defenses? JUL 30, 2026 OUTAGES Fault in Data Center Alley Triggered 3 GW Load Drop JUL 23, 2026 ENERGY & POWER SUPPLY DOE: AI Data Centers Are Transforming America’s Transmission Map JUL 24, 2026 SUSTAINABILITY After the AI Rush, Can Data Centers Reclaim Sustainability? JUL 23, 2026 Want more Data Center Knowledge stories in your Google search results? Subscribe to the Data Center Knowledge Newsletter Get analysis and expert insight on the latest in data center business and technology delivered to your inbox daily. 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