With its swiftness and extensive capabilities, artificial intelligence (AI) is revolutionising the business sector, but this has also raised new environmental concerns. Experts are warning that the incredible expansion of AI is also leading to severe environmental impacts. With the rise in popularity of AI technologies, their energy consumption, water use and carbon emissions are on the rise, raising concerns about their long-term sustainability, according to IQAir.

AI systems and models are very resource-intensive — they need thousands of high-performance processors in a robust data centre for both training and operation. These facilities not only use a tremendous amount of electricity, but also use a lot of water for cooling systems. With the widespread use of AI across industries, energy consumption and environmental impact will be a growing concern as the demand for more computing power grows significantly.

The impact of AI on the environment is more than just electricity consumption, according to the report. Additionally, the production of computer chips, growing data centre facilities and the e-waste caused by the disposal of obsolete electronic devices will also result in carbon emissions. If unsustainable practices continue, these factors could undermine the global objective of climate change reduction.

While these worries are valid, the potential for AI to aid in environmental protection is no less significant as well. This technology is being applied in the monitoring of air quality, the optimisation of energy systems, the optimisation of transportation systems, extreme weather prediction, and climate research. The examples highlight the potential of AI to be a valuable asset in tackling environmental issues when used responsibly.

IQAir underscores the importance of collaboration among governments, tech firms, and researchers in driving the adoption of AI technologies that have a lower impact on the environment. Some of the recommendations involve the adoption of renewable energy sources for powering data centres, the optimisation of hardware efficiency, more accurate reporting of the environmental costs of AI, and creating energy-efficient models of AI.

With AI playing a greater role in society's future, there will continue to be a need to strike a balance between technological advancement and environmental responsibility. The sustainability of AI development can play a key role in ensuring that the benefits of using AI are realised without placing an undue burden on the planet's natural resources.