Ginci Insights

Plastic pollution is set to triple by 2060, while IPCC-aligned pathways indicate the world must remove 5 – 10 gigatonnes of CO₂ annually by mid-century to keep 1.5 °C within reach. These innovations target both crises: managing waste and enabling carbon removal. The challenge is scaling up ensuring energy efficiency and avoiding new pollutants. The opportunity is clear: reframing waste as a resource. How should businesses and policymakers accelerate these waste-to-climate sol

AI is reshaping how we understand and respond to climate risks: satellite data is being used to map methane leaks in near-real time, while next-generation models like NVIDIA ’s “Climate in a Bottle” can deliver climate simulations at higher resolution, a scale that makes city-level adaptation planning possible. These advances are powerful, but without transparency on AI’s energy and water use, the environmental footprint could outpace the benefits.

A WHO analysis underscores that climate change is heightening the risks of waterborne disease outbreaks, making robust wastewater monitoring a critical pillar of health adaptation. If we want truly climate-resilient health systems, we can’t stop at hospitals and flood barriers. We need smart, scalable early-warning networks. While it comes with constraints, wastewater remains one of the most valuable tools we have.