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Why AI progress doesn’t have to come at an environmental cost

Techradar · 8m

As organizations strive to meet their NetZero carbon targets, IT leaders are under pressure to keep up with the increasing demand for new technologies. Automation is a key focus for many, and the emergence of AI assistants has the potential to reshape the digital landscape. However, the energy consumption of AI raises sustainability concerns, with predictions that it could offset carbon-zero gains by 2025. Balancing ESG targets with automation needs is crucial, and cloud computing plays a central role in enabling AI tools. Efforts to increase efficiency and reduce environmental impacts in the cloud industry are ongoing, but managing the complexities of mixed IT infrastructures remains a challenge. Infrastructure modernization, such as adopting hyperconverged infrastructures and next-generation liquid cooling, can significantly reduce energy needs and create a low-impact platform for the future. Addressing infrastructure complexity now is essential for organizations to embrace AI without compromising ESG targets.