My best answer is: yes, and no. AI technologies have a vast ecological footprint, and as models continue to advance, training and deploying them will require the consumption of more and more energy. However, the applications of such technologies are seemingly endless, many of which are already being designed and operated to actually mitigate climate change impacts. Furthermore, strategies can be used to minimize negative effects like building datacenters in places with colder climates and investing in renewable energy. Lastly, as others have commented, these technologies rely on data and algorithmic processes to mimic and aid human cognition. This means that, if we are not careful, the decisions we delegate to AI can be tainted by the biases implicit in the data we feed it, making it yet another reinforcement of socioeconomic disparities. I believe that AI can, and surely will, change everything, and whether this fact is a positive or a negative all depends on how developers address the ethical elephant in the room. I believe the solution is to slow down this exponential growth just long enough to be able to take a step back and ensure more harm is not created than good. Strategize, every step of the way. Invest in the renewable energy sources. Educate the public and professionals about the intentional/mindful use of these models. Program the technology to identify and challenge biases. Before it is too late, we need to ask ourselves: is my use of AI justified? Am I developing this model in an environmentally conscious way?

AI (Artificial Intelligence) is becoming a powerful tool in the ESG (Environmental, Social, and Governance) space. It helps companies track, measure, and improve their ESG performance more effectively.

Here’s how AI is used in each part of ESG:

• Environmental: AI helps monitor energy use, carbon emissions, and waste. It can predict environmental risks and suggest ways to reduce impact, like using less power or switching to cleaner energy.

• Social: AI can scan company data and public reports to check how a business treats employees, customers, and communities. It helps spot issues like poor labor practices or lack of diversity.

• Governance: AI reviews company policies, board structures, and financial reports to check if the business is following ethical rules and laws. It can also help prevent fraud or data misuse.

Overall, AI makes ESG reporting faster, more accurate, and data-driven. This helps companies make better decisions and meet global ESG goals more easily.

It’s really exciting to see this conversation happening—AI absolutely has the potential to transform how ESG teams operate. That said, ESG is such a broad space, and AI could be applied in so many ways—from emissions tracking to supply chain transparency to regulatory reporting.

Our team has been exploring how AI can support ESG efforts, but what we’re still trying to understand is: where exactly can we help the most? If you’re part of an ESG team or working in this space, we’d love to hear—what’s one challenge you think AI could genuinely make easier?

AI has so much potential to help us move toward a greener and more sustainable future! It’s already being used to manage energy more efficiently, track emissions, and improve supply chains, saving time and resources. But it’s important to use AI responsibly so it benefits everyone and doesn’t create new problems. What’s one area in ESG you think AI could make the biggest difference?

Yes!

The capabilities of AI are continuously developing. So far we have seen how useful it can be within areas such as data collection, automation and time management. This is just the beginning...