Energy & Industry

AI Feeds Data Center Power Appetite, And the Gulf’s Solar Boom Isn’t a Silver Bullet

The AI revolution is inflating electricity demand from data centers far faster than per-task efficiency gains can offset, putting the Gulf’s ambitions for solar-powered AI hubs in sharp focus.

SalesTrig Intelligence · 3 min read · Last reviewed 2026-07-03

What changed

According to the International Energy Agency (IEA), electricity used by data centers hit about 415 terawatt-hours in 2024, with AI-specific centers driving a 50 percent jump in demand by 2025.

Despite remarkable improvements in energy used per AI task, simple text queries now need less electricity than running a TV, the explosion in complex work like video generation means total data center consumption could more than double by 2030, again according to the IEA.

Renewable energy, particularly solar, is growing rapidly and represents about half of new supply for data centers, but gas and coal still must plug immediate and large gaps in power.

What it actually means

Every improvement in AI efficiency is being outpaced by the appetite for more advanced, resource-hungry tasks. Cutting the energy use for basic operations only goes so far when demand for complex processing, like AI-generated video and deep learning, is skyrocketing, each sometimes using hundreds or thousands of times more power per request than basic text queries.

Solar energy alone cannot cover all new demand. Even though the Gulf enjoys some of the world’s cheapest and most reliable sunlight, solar installations need huge land areas and reliable energy storage to operate round-the-clock. As the IEA highlights, natural gas and coal are still needed to fill in for solar's day-night and weather-driven gaps.

A doubling or more of global data center electricity use is likely before 2030. Even the world’s leaders in clean energy can’t fully shelter themselves from the rising tide of power needs driven by AI, so the challenge is as much about grid planning and infrastructure as it is about efficiency or green generation.

The GCC angle

The Gulf states, with huge solar projects and ambitious national AI plans, are tempting destinations for hyperscale data centers. Low-cost solar helps, but it will not insulate the region from the coming spike in electricity needs. For instance, Vision 2030 in Saudi Arabia and the UAE’s digital transformation goals rely heavily on being able to guarantee stable, ample power for public and private AI deployments.

Decisions about energy supply and infrastructure, grid upgrades, land allocation for solar, integration with demand management, will directly affect digital economy growth, from cloud providers to smart city apps to fintech. AI efficiency alone won’t prevent power bottlenecks as the number of high-value, high-power AI applications grows.

SalesTrig clients monitor digital infrastructure expansion to anticipate both utility costs and sustainability regulation across the GCC. Markets aiming at AI-driven diversification should prioritize energy strategies to avoid painful slowdowns or spikes in power costs.

What to do next

  • Ask your IT and operations teams for data center energy forecasts, not just efficiency numbers. Size up your exposure to peak demand charges.
  • If you’re investing in or pitching new AI capacity, consider the land and power needs for additional solar, plus what happens if fossil backup costs rise.
  • Incorporate grid stability and energy resilience into new digital services plans, especially if you operate in sectors like fintech, health or government where uptime is critical.
  • Advocate with local regulators for clear guidelines on integrating renewables, storage, and new AI loads, so the sector’s ambitions don’t outstrip physical capacity.

Sources

This is an AI-summarised explainer written by SalesTrig Intelligence, not the original reporting. For the full detail and the primary facts, please read the original sources below.

  1. 1.
    Energy demand from AI – Energy and AI – Analysis - IEAstandards-body

    https://www.iea.org/reports/energy-and-ai/energy-demand-from-ai?utm_source=openai

  2. 2.
    Executive summary – Key Questions on Energy and AI – Analysis - IEAstandards-body

    https://www.iea.org/reports/key-questions-on-energy-and-ai/executive-summary?_bhlid=10646f272364cf3af59c0fa8f3886b1cfe01e627&utm_source=openai

  3. 3.
    Energy supply for AI – Energy and AI – Analysis - IEAstandards-body

    https://www.iea.org/reports/energy-and-ai/energy-supply-for-ai?utm_source=openai

  4. 4.
    Could all data centers go solar?publication

    https://www.itpro.com/infrastructure/data-centres/could-all-data-centers-go-solar?utm_source=openai