New research from Singapore-based M Capital Group paints a stark picture of a data-centre landscape undergoing rapid transformation. The report, Data Centres – Breathtaking Drive: Exhausting Energy, Water and Brains, argues that artificial intelligence, digital sovereignty and infrastructure expansion are forcing a “once-in-a-generation structural realignment” in how and where data is processed.
Global data-centre market value is forecast to reach $387 billion by the end of 2025, with hyperscalers and sovereign-backed providers racing to build AI-ready facilities capable of supporting trillion-parameter models. M Capital warns that AI workloads alone could account for nearly half of global data-centre electricity use by year-end. To meet demand, operators are embracing advanced cooling, denser server racks and localisation-compliant designs.
“The AI era will not be cloud-native. It will be infrastructure-native,” said Christian Mouchbahani, Managing Partner at M Capital Group. “Those who can localise, optimise and operationalise at scale will define the next two decades of digital power brains.”
That scale comes with growing energy and regulatory challenges. According to the International Energy Agency, global electricity use by data centres could hit 945 TWh by 2030—about 3% of total demand. Accelerated servers driven by AI are expected to dominate the increase. While efficiency improvements may offset some of the impact, the sector’s power needs are climbing, raising the stakes for clean-energy sourcing and grid planning.
Independent forecasts echo these concerns. Analysis by Digiconomist’s Alex de Vries-Gao suggests AI could drive data centres to consume nearly 49% of their total electricity use by the end of 2025, excluding crypto-mining. He links the surge to GPU power draw and cooling requirements, cautioning that regulatory changes or tech breakthroughs could still shift the trajectory.
Deloitte’s 2025 Predictions note that generative AI could significantly escalate electricity demand unless the industry accelerates innovations in efficiency and clean-energy integration. The consultancy highlights the need for alignment across tech providers, utilities and governments to balance performance with sustainability.
The Middle East is emerging as a key growth zone. PwC reports that regional capacity could triple by 2030, led by sovereign investment in the UAE and Saudi Arabia. National initiatives, strategic partnerships and abundant energy are drawing hyperscalers and regional players, though challenges remain in talent, supply chains and grid capacity. Reuters adds that access to advanced semiconductors and international collaboration will be vital to realising the Gulf’s AI ambitions.
One major project already underway is Equinix’s planned $1 billion investment in a Saudi data centre, delivering 100 MW of capacity in Jeddah. Unveiled at Riyadh’s Leap summit, the initiative reflects how global firms are aligning with regional strategies to position themselves at the heart of AI infrastructure growth.
The UK faces a parallel opportunity. Industry analysts say the convergence of rising AI demand, sovereign data policies and sustainable infrastructure creates an opening for Britain to lead. A strong science base, dynamic energy networks and supportive regulation could attract AI-focused investment, provided the country couples growth with stringent data governance, low-emission energy and next-generation cooling.
Yet the path forward is not without friction. Higher density systems will increase both power and water use. Managing this impact will require progress in energy efficiency, water stewardship and workforce development. Skills in system design, operations and optimisation will be crucial as complexity scales.
The trajectory is clear: smarter energy, smarter cooling and smarter regulation will define how responsibly the digital infrastructure of AI develops. The sector is more than a story of growth. It is a test of whether innovation can expand in step with resilience, accountability and climate goals. If the UK seizes this moment, it can help shape a future where data centres power progress without exhausting the systems that sustain it.
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Noah Fact Check Pro
The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
below. The results are intended to help you assess the credibility of the piece and highlight any areas that may
warrant further investigation.
Freshness check
Score:
4
Notes:
⚠️ The narrative largely reuses reporting and public forecasts published months earlier: the IEA ‘Energy and AI’ analysis (2025) set out the core electricity projections (IEA base case = ~945 TWh by 2030). ([iea.org](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=chatgpt.com)) 🕰️ Major related pieces (IEA April 2025; Digiconomist/Joule May 2025; Equinix Leap announcement Feb 2025; PwC regional briefing April 2025; Deloitte predictions late‑2024/early‑2025) predate the posted datacenternews.asia item and contain the main figures and themes cited. ([theguardian.com](https://www.theguardian.com/environment/2025/may/22/ai-data-centre-power-consumption?utm_source=chatgpt.com), [digiconomist.net](https://digiconomist.net/ai-power-demand-rapidly-escalating/?utm_source=chatgpt.com), [thenationalnews.com](https://www.thenationalnews.com/future/technology/2025/02/11/leap-2025-equinix-to-build-1bn-saudi-data-centre-and-start-ups-get-494m-backing/?utm_source=chatgpt.com), [pwc.com](https://www.pwc.com/m1/en/media-centre/articles/unlocking-the-data-centre-opportunity-in-the-middle-east.html?utm_source=chatgpt.com), [deloitte.com](https://www.deloitte.com/global/en/about/press-room/deloitte-globals-2025-predictions-report..html?utm_source=chatgpt.com)) ‼️ I attempted to open the exact datacenternews.asia URL supplied but the page failed to load in my fetch (open error). ([]()) Given that most central data and warnings were already published months earlier, the piece is better characterised as synthesis/republication rather than breaking news; this reduces freshness. ✅ However, the use of multiple recent reports (IEA, Digiconomist, Deloitte, PwC) gives some timeliness to the compilation. ([iea.org](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=chatgpt.com), [digiconomist.net](https://digiconomist.net/ai-power-demand-rapidly-escalating/?utm_source=chatgpt.com))
Quotes check
Score:
6
Notes:
⚠️ The article attributes a striking quote to Christian Mouchbahani: “The AI era will not be cloud‑native. It will be infrastructure‑native…” — searches did not return earlier instances of that exact formulation in other outlets or indexed press transcripts. (I found M Capital Group and Christian Mouchbahani background pages, but not this quote elsewhere). ([mcapital-group.com](https://www.mcapital-group.com/copy-of-research-reports?utm_source=chatgpt.com), [buzzfile.com](https://www.buzzfile.com/business/M-Capital-Group-~-McG-LLC-212-634-6831?utm_source=chatgpt.com)) ✅ That suggests the quotation may be original to M Capital Group’s report or to the brief distributed with the piece (i.e. likely not copy‑paste from a prior widely circulated story). ‼️ If the quote is lifted from a private press release (not otherwise posted publicly), that raises transparency questions — editors should verify the quote directly with M Capital Group or check the original report/press release file.
Source reliability
Score:
6
Notes:
✅ The narrative cites several high‑quality institutions for the load‑bearing claims: IEA (official global energy/AI analysis), Deloitte, PwC and reporting from reputable outlets (The Guardian, Reuters/The National) — these strengthen credibility for the energy and regional investment claims. ([iea.org](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=chatgpt.com), [deloitte.com](https://www.deloitte.com/global/en/about/press-room/deloitte-globals-2025-predictions-report..html?utm_source=chatgpt.com), [pwc.com](https://www.pwc.com/m1/en/media-centre/articles/unlocking-the-data-centre-opportunity-in-the-middle-east.html?utm_source=chatgpt.com), [theguardian.com](https://www.theguardian.com/environment/2025/may/22/ai-data-centre-power-consumption?utm_source=chatgpt.com), [thenationalnews.com](https://www.thenationalnews.com/future/technology/2025/02/11/leap-2025-equinix-to-build-1bn-saudi-data-centre-and-start-ups-get-494m-backing/?utm_source=chatgpt.com)) ⚠️ At the same time, the named origin (M Capital Group) is a smaller advisory/research firm with an online presence but not a widely cited primary data provider for global market sizing; I located M Capital Group’s research page and older slide material, but I could not find a clearly dated, public M Capital Group report that matches the headline $387bn figure. ([mcapital-group.com](https://www.mcapital-group.com/copy-of-research-reports?utm_source=chatgpt.com), [slideshare.net](https://www.slideshare.net/slideshow/data-centers-striving-within-a-narrow-range-research-report-mcg-may-2022-pdf/269427452?utm_source=chatgpt.com)) ‼️ That raises a provenance question: is the $387bn estimate M Capital’s proprietary calculation, or a repackaging of other market forecasts? Editors should request the M Capital Group report PDF or press release and confirm methodology and publication date directly with the firm.
Plausability check
Score:
5
Notes:
⚠️ The broad claims (large uplift in data‑centre spend, a substantial rise in electricity demand driven by AI, Middle East investment surge, Equinix’s Saudi plans) are plausible and covered independently by the IEA, Deloitte, PwC and reputable reporting. ([iea.org](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=chatgpt.com), [deloitte.com](https://www.deloitte.com/global/en/about/press-room/deloitte-globals-2025-predictions-report..html?utm_source=chatgpt.com), [pwc.com](https://www.pwc.com/m1/en/media-centre/articles/unlocking-the-data-centre-opportunity-in-the-middle-east.html?utm_source=chatgpt.com), [thenationalnews.com](https://www.thenationalnews.com/future/technology/2025/02/11/leap-2025-equinix-to-build-1bn-saudi-data-centre-and-start-ups-get-494m-backing/?utm_source=chatgpt.com)) ‼️ However, the headline figure ($387 billion global data‑centre market by end‑2025) is not consistently supported by major market trackers — I found differing market estimates in the same timeframe (examples include $317bn, $367bn, and other forecasts depending on scope and definition of the 'market' and whether capex vs. revenue is measured). ([fortunebusinessinsights.com](https://www.fortunebusinessinsights.com/amp/data-center-market-109851?utm_source=chatgpt.com), [altindex.com](https://altindex.com/news/data-centers-drive-it-market-surge?utm_source=chatgpt.com)) ❗ Discrepancies in definitions (capex vs. market revenue; edge vs. hyperscale; calendar vs. fiscal year) can easily produce divergent numbers; the article does not clearly show the methodology or whether the $387bn is capex, revenues, or a particular market slice. ⚠️ The energy share claim that AI could account for 'as much as half' of data‑centre electricity by year‑end is rooted in Digiconomist/Joule estimates and is plausible within the high‑uncertainty scenario — but that specific projection carries large error bars and depends on hardware production and utilisation assumptions. ([digiconomist.net](https://digiconomist.net/ai-power-demand-rapidly-escalating/?utm_source=chatgpt.com))
Overall assessment
Verdict (FAIL, OPEN, PASS): OPEN
Confidence (LOW, MEDIUM, HIGH): MEDIUM
Summary:
⚠️ OPEN — Medium confidence. The narrative is a synthesis of legitimate, recent, and often reputable reporting (IEA energy modelling; Deloitte and PwC forecasting; Digiconomist/Joule analysis; Equinix announcements) so many of its central claims are plausible and documented. ([iea.org](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=chatgpt.com), [deloitte.com](https://www.deloitte.com/global/en/about/press-room/deloitte-globals-2025-predictions-report..html?utm_source=chatgpt.com), [pwc.com](https://www.pwc.com/m1/en/media-centre/articles/unlocking-the-data-centre-opportunity-in-the-middle-east.html?utm_source=chatgpt.com), [digiconomist.net](https://digiconomist.net/ai-power-demand-rapidly-escalating/?utm_source=chatgpt.com), [thenationalnews.com](https://www.thenationalnews.com/future/technology/2025/02/11/leap-2025-equinix-to-build-1bn-saudi-data-centre-and-start-ups-get-494m-backing/?utm_source=chatgpt.com)) ‼️ Major risks: the headline $387bn market figure lacks clear provenance or a public methodological footnote in readily indexed materials (potentially proprietary M Capital Group calculation) — this reduces transparency and should be verified with the firm. ([mcapital-group.com](https://www.mcapital-group.com/copy-of-research-reports?utm_source=chatgpt.com)) 🕰️ Also, much of the coverage recycles earlier published material (IEA April 2025; Digiconomist May 2025; Equinix Feb 2025) so freshness is limited; the piece reads as aggregation rather than original reporting. ([iea.org](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=chatgpt.com), [digiconomist.net](https://digiconomist.net/ai-power-demand-rapidly-escalating/?utm_source=chatgpt.com), [thenationalnews.com](https://www.thenationalnews.com/future/technology/2025/02/11/leap-2025-equinix-to-build-1bn-saudi-data-centre-and-start-ups-get-494m-backing/?utm_source=chatgpt.com)) ✅ Strengths: reliance on IEA, Deloitte, PwC and major reporting lends credibility to the core energy and regional investment claims. Recommended next steps for an editor: 1) request the original M Capital Group report or press release and confirm the publication date, methodology and whether $387bn is capex/revenue/market segment; 2) verify the Christian Mouchbahani quotation against the M Capital Group primary document or obtain direct confirmation; 3) if publishing the $387bn figure, add a clear sourcing note (method + whether figure is M Capital proprietary), and where possible add comparative figures from other market trackers to show range and uncertainty (IEA, Deloitte, Technavio, Gartner, or Fortunebusinessinsights). ([mcapital-group.com](https://www.mcapital-group.com/copy-of-research-reports?utm_source=chatgpt.com), [iea.org](https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=chatgpt.com), [deloitte.com](https://www.deloitte.com/global/en/about/press-room/deloitte-globals-2025-predictions-report..html?utm_source=chatgpt.com))