AI's energy appetite is fueling a multi-trillion clean energy investment shift at Abu Dhabi's CNBC New Energy Finance Forum

AI is driving electricity demand beyond old models, making energy a core risk for data and infrastructure. Savvy capital will secure firm, clean supply and target grid bottlenecks.

Categorized in: AI News Finance
Published on: Dec 28, 2025
AI's energy appetite is fueling a multi-trillion clean energy investment shift at Abu Dhabi's CNBC New Energy Finance Forum

Energy In An AI World: What Finance Needs To Price In Now

At Abu Dhabi Finance Week, the New Energy Finance Forum centered on a simple fact: AI is pushing electricity demand higher, faster, and for longer than most models assumed. That turns power into a core input risk for every growth case tied to data, compute, and digital infrastructure.

If you manage capital, this isn't a side note. It changes capex cycles, risk premia, and where alpha hides in energy and infrastructure for the next decade.

Why AI Changes The Math

  • Data centers don't just need more megawatt-hours - they need higher uptime, tighter power quality, and more firm capacity. That rewards assets and technologies that are dispatchable or paired with storage.
  • Corporate offtakers are shifting from simple annual RECs to 24/7 clean power coverage. That tilts value toward portfolios that blend solar, wind, storage, hydro, nuclear, and demand response.
  • Grid congestion and interconnection queues become the bottleneck. Transmission, transformers, and HVDC matter as much as generation.
  • Forecast error widens. Treat electricity like a strategic commodity in your models, not a line item that inflates at CPI.

IEA analysis signals a sharp rise in electricity use from data centers and AI. Expect region-by-region divergences based on grid mix, permitting speed, and policy support.

Where Capital Likely Flows Next

  • Firm, clean capacity: Storage (4-12 hour), hydro upgrades, nuclear life extensions, and gas with CCS in select markets. SMRs remain a watch list item until timelines and costs are proven.
  • Grid and equipment: Transmission buildout, substations, transformers, HVDC, grid software, and interconnection services. Lead times drive pricing power.
  • Data center power systems: On-site generation, UPS and fuel cells, liquid cooling, and heat reuse. Expect higher attach rates for storage behind the meter.
  • Renewables, but packaged: Solar and wind paired with storage and firming contracts, structured for 24/7 delivery rather than merchant exposure.
  • Flexibility markets: Demand response, virtual power plants, and capacity markets that monetize availability, not just energy.

Investment Angles For 2025-2027

  • Listed equities: Suppliers of transformers, cables, switchgear, grid software, utility-scale storage, and thermal management for data centers. Watch order backlogs and pricing discipline.
  • Infrastructure/PE: Transmission development platforms, renewable-plus-storage portfolios with long-dated offtake, flexible peakers in constrained nodes, and behind-the-meter power at hyperscale campuses.
  • Credit: Green ABS for residential/commercial solar+storage, project finance for interties, sustainability-linked loans with generation availability KPIs.
  • Commodities: Copper, aluminum, and silver exposure tied to grid and solar demand. Uranium remains cyclical-position sizing matters.
  • Contracts: Corporate PPAs designed for hourly matching and congestion risk. Look for clauses that address curtailment and basis.

Risk Checklist (Price It Before It Prices You)

  • Policy and permitting: Interconnection backlogs, local opposition, and shifting subsidies can change IRRs overnight.
  • Equipment bottlenecks: Transformers and HVDC components have multi-year queues; delay risk = capex creep.
  • Merchant exposure: Cannibalization in high-renewable periods hurts unhedged assets. Storage helps, but duration and cycle life assumptions must be realistic.
  • Water and thermal constraints: Data center siting runs into cooling and water limits; regulators will respond.
  • Counterparty quality: Stress-test offtakers beyond headline credit. Look at margin resilience under higher power costs.

What To Do In The Next 90 Days

  • Map portfolio exposure to electricity price and availability by node, not just region. Re-rate assets sensitive to basis risk.
  • Run scenarios with higher baseload prices, wider volatility, and delayed interconnections. Adjust WACC and debt tenor accordingly.
  • Build a pipeline of 24/7 clean energy contracts. Pair variable renewables with storage and firming sources to stabilize cash flows.
  • Prioritize assets and vendors with guaranteed delivery slots for critical grid equipment. Availability beats a low headline quote.
  • Create a data center energy playbook: on-site power options, curtailment clauses, and heat reuse economics.
  • Upgrade internal skills on AI and energy analytics to cut decision time and model risk. A practical starting point for finance teams is a curated set of AI tools for finance.

Bottom Line

AI demand is rewriting the cost of electricity and the value of flexibility. The winners will treat power as a core competency, secure firm supply early, and own the bottlenecks others ignore.

If you're updating 2026-2028 theses, move power and grid from appendix to page one.


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