Our friends at Feltech are working on the AI Leaders Project, and they have written a very interesting post on their website, which you can read here.
As artificial intelligence becomes more deeply embedded in business, society, and innovation, there’s a growing conversation we all need to engage with: the environmental impact of AI.
Sustainable AI isn’t just a buzzword, it’s a framework for responsible innovation that embeds environmental awareness into the technology lifecycle:
Efficient model design
Developing AI with lower computational demands helps cut down energy use and emissions.
Clean energy & smarter infrastructure
Moving data centres to renewable energy and adopting advanced cooling systems reduces environmental strain.
Holistic sustainability governance
Embedding sustainability metrics into how organisations design, choose, and report AI systems ensures transparent impact assessment.
At Momentum Consulting, we believe future-focused organisations must balance innovation with responsibility. Understanding sustainable AI is no longer optional, it’s essential for leaders shaping digital strategy, ethical policy, and long-term organisational change.
Whether you’re exploring AI adoption or guiding teams through digital transformation, placing sustainability at the centre of those decisions helps ensure technology delivers value without compromising the planet.
