The Dual Narrative of AI

As someone who is always geeking out over the latest technology, the rapid advancement in LLM’s has been fun to watch (and play with!).

It’s mind-boggling to see the leaps we’ve taken in technology.

BUT…

I’m also a parent and Earth dweller. I can’t ignore the environmental cost tethered to this growth.

Did you know:

• Training just one AI system can emit over 250,000 pounds of carbon dioxide?
• A staggering 70-80% of emissions come from the operational stage alone? (that’s a techy version of “a lot goes on behind the scenes,”)?
• In 2022, Microsoft used approximately 1.7 billion gallons of water, for AI operations​?

The dilemma doesn’t end at carbon emissions or water usage. The surge in AI technologies proliferates electronic waste, laced with hazardous chemicals threatening our soil and water.

• As of 2023, there is over 347 million tons of unrecycled e-waste on earth.
• Only 17.4% of e-waste is known to be collected and properly recycled.

But, amidst these challenges, lies AI’s potential to be part of the solution. Experts say that AI can help improve a whopping 93% of environmental goals like creating smart cities that use less energy and integrating more renewable energy into our grids​.

So, what can you do?

Reducing the carbon footprint of AI usage can be challenging for an individual consumer given the systemic nature of the issue. However, there are steps that can be taken to contribute to a larger solution:

• Stay informed about the environmental impact of AI and digital technologies.
• Opt for products and services from companies that prioritize environmental sustainability.
• Reduce your consumption of digital services where possible.
• Recycle e-waste properly to ensure it’s processed in an environmentally friendly manner.
• If possible, choose energy providers that use renewable sources.
• Evaluate your digital habits and reduce unnecessary usage.
• Support policies and regulations aimed at reducing the environmental impact of digital technologies and AI.

Transitioning to a sustainable AI infrastructure isn’t a solitary journey. It’s a collective endeavor.

Views are my own and not those of Gibson, Dunn & Crutcher LLP.