This flexibility unlocks cost‑effective renewable integration, reducing reliance on fossil peaker plants and accelerating Australia’s energy transition.
Australia’s electricity network is moving from a supply‑centric to a demand‑centric architecture, and AI is the catalyst that makes this shift possible. By continuously monitoring price signals, weather forecasts and grid constraints, machine‑learning algorithms can dispatch industrial processes—such as mining, manufacturing, and water treatment—at moments when renewable output is abundant or congestion is low. This granular, real‑time control transforms traditionally inflexible loads into a virtual power plant, offering grid operators a new lever to balance supply without building additional generation.
Data centres, with their massive and predictable power consumption, are uniquely positioned to act as flexible loads. When paired with on‑site battery storage, they can absorb excess renewable energy and release it during peaks, effectively smoothing the demand curve. Emerging market mechanisms, such as demand‑response contracts and ancillary service markets, reward these capabilities with revenue streams that offset operational costs. Companies like GridBeyond are already packaging these services, creating a commercial ecosystem where AI‑driven load management and storage become tradable grid assets.
The net effect is a rapid expansion of gigawatt‑scale flexibility that accelerates Australia’s path to net‑zero emissions. By reducing the need for carbon‑intensive peaker plants, flexible demand lowers system costs and improves reliability, making renewable projects more bankable. Policymakers are responding with supportive regulations, including clearer definitions of demand‑side participation and incentives for battery deployment. As AI, data‑centre participation, and storage converge, the Australian grid will increasingly rely on distributed flexibility rather than centralized generation.
Feb 20 2026 · Energy Insiders Podcast
Michael Phelan, CEO of GridBeyond, discusses how industrial loads and data centres are being orchestrated by AI and batteries to unlock gigawatts of hidden flexibility for the grid, and what it means for Australia’s energy transition.
The episode is available on the Renew Economy podcast platform and can be listened to via the links below:
You can also find previous episodes of Energy Insiders in the podcast archive.
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