Can AI Cut Your Building’s Energy Use by Up to 22%?
On 21 September 2026, Schneider Electric published research suggesting that adding an AI layer on top of a digital building management system (BMS) can reduce a building’s total energy use by up to 22% compared with conventional controls, and can roughly double the savings achieved by smart controls alone. The study used energy models validated by field trials in Australia, India and the United States, with a clear focus on small and mid-sized buildings.
Why it matters in Saudi Arabia and the GCC
In our climate, air conditioning takes the largest share of the energy bill, and that is exactly what AI optimises minute by minute in HVAC systems. But AI needs a solid foundation:
- Reliable metering and sensor points across the building.
- Sound integration over open protocols such as BACnet, Modbus and KNX.
- Connected data instead of isolated systems.
At GLTS, we start from this foundation. We design and integrate BMS solutions so your building is ready for the AI era, supporting Vision 2030 energy-efficiency goals.
Planning a new project or an upgrade? Contact the GLTS team.
Source: Schneider Electric press release, 21 September 2026 (GlobeNewswire).