Sustainability and AI

Inspired by Swami Sivasubramanian's UN address on AI and sustainability, my thoughts on the topic.

💡 As per McKinsey[1], generative AI has potential to add up to $4.4 trillion to the global economy - annually. If we adopt generative AI and broadly AI across the industries, we are highly likely to meet these projections.

🎇 As we become more productive and automate many of the manual, repetitive tasks using AI, it will have a broader worldwide reduction in greenhouse gas (GHG) emission.

🎉 By some estimates, done by PwC [2], we may see reduction of 0.9 – 2.4 gigatons of CO₂e by 2030. Same study estimates that agricultural AI applications can help reduce emissions by up to 160Mt CO₂e in 2030 as well.

🎈 What does it mean for us?
1. AI applications will have not only impact on our productivity but also reducing the carbon footprint.
2. Agriculture AI impact will have impact on providing us better food using fewer resources - sustainable future!
3. This will have a better, sustainable future for our current and next generation.

🎯 What we all can do?
1. Embed environmental impact into consideration of your AI strategies
2. Spread the awareness of AI not only in the tech world but also non-tech world.
3. Focus on "responsible" use of AI.
4. Provide opportunities for upskill and reskill to folks who are not aware of AI and it's broader impact.

#generatieveai #sustainabilty #artificialntelligence

source:
1. https://lnkd.in/eGRmV5pF
2. https://lnkd.in/eUyvcC-g