AI IN SUSTAINABILITY
Combating AI’ s energy growth Joseph cites immersion cooling as one of“ the most promising advances” in the fight against growing AI energy use.“ This technique involves submerging processors in dielectric fluids that are far more efficient at heat transfer than traditional air or waterbased systems,” he says.“ Infosys has collaborated with Shell to implement a synthetic, single-phase immersion cooling solution in its Texas data centres that significantly reduces energy and saves an impressive 91 % in water consumption.”
Modular or containerised data centres can also bring energy benefits.“ These modern setups can be up to six times more powerful and energydense than legacy infrastructures, and they offer better scalability and faster deployment,” Joseph explains.“ Retrofit-based energy efficiency technologies are also gaining traction. Deploying IoT-enabled systems can also enable data centres to intelligently monitor and manage power and cooling in real time, reducing waste and increasing responsiveness to varying load conditions.”
112 February 2026