AI Adds New Load Pressure on Power Grids
CIGRE says AI can improve grid efficiency, but its rising electricity demand is already reshaping how networks are planned.
Updated on Nov. 2, 2026 in Artificial Intelligence
Live Poll
Do you expect your household electricity bills to rise over the next few years?
CIGRE Secretary General Philippe Adam told the GCC POWER 2026 conference in Muscat that artificial intelligence presents electricity networks with a new challenge: it can improve grid efficiency while also creating substantial new electricity demand. The remarks are commentary from a conference address rather than a shipped system or measured outcome.
Why it matters
Electricity networks are already adapting to rising consumption, digitalisation, climate-related risks and increasing renewable integration, and AI adds a further demand pressure on top of those. Adam argued that electricity regulation would need to be reconsidered in response to growing risks and uncertainties associated with electrification.
The remarks were delivered as a conference address and contain no measured figures on AI's effect on grid load or efficiency. The only quantified context is CIGRE's organisational scale, which is a membership and committee structure rather than a technical performance result.
The players
CIGRE
The International Council on Large Electric Systems, founded in 1921, is a global body of power-system engineers and researchers with about 25,000 members.
Philippe Adam
Secretary General of CIGRE, who addressed the electricity sector on how artificial intelligence affects grid planning.
Oman Electricity Transmission Company
The Omani state utility that hosted GCC POWER 2026 and operates the country's high-voltage transmission network.
The details
Adam's argument is that AI workloads draw large amounts of electricity in data centres, which pushes up total consumption that transmission and distribution networks must carry. At the same time, AI tools can be used to optimise how power systems are operated, so the technology can both add load and help manage it. Electrification more broadly, along with variable renewable generation, makes that balancing harder for grid operators.
Timeline
Remarks made at GCC POWER 2026 in Muscat on November 2, 2026.
The GCC POWER 2026 conference ran November 2-4, 2026.
The Tech Race
The debate over AI's grid impact is being shaped by utility transmission operators and standards bodies such as CIGRE, which frame AI as both a load to be served and a tool for operations. Gulf states are simultaneously investing in renewables, interconnections and digital infrastructure, placing the region among the places where this tension is most actively managed.
Grid planners and utilities will have to account for AI-driven load growth when deciding where to build transmission and generation capacity. Electricity customers may feel the effect through the cost and reliability of the networks that serve them, though no specific rates or timelines were given.
The takeaway
The central question is whether AI's efficiency gains on the grid can outweigh the new demand it creates, a balance that will shape electricity planning across the Gulf and beyond. Watch for CIGRE's follow-up sessions at its 2026 Paris Session, where the organisation is likely to continue this discussion.
Further reading
Explore more on Artificial Intelligence to see how the technology is reshaping energy and infrastructure planning.
Source note: This article includes information reported by Oman Observer.
Live Poll
Do you expect your household electricity bills to rise over the next few years?
