AI technology's increasing water consumption is becoming a significant concern. Studies show ChatGPT queries can use substantial amounts of water, while major tech companies have seen notable increases in water usage. Projections suggest AI's water consumption could match that of a small European nation by 2027. Many data centres are in water-stressed areas, worsening the problem. Rainwater harvesting is proposed as a potential solution, with some tech companies already implementing such systems.

**For tech companies and data-intensive industries:** You need to urgently reassess your water usage strategies. Implement water-efficient cooling systems and explore rainwater harvesting techniques to mitigate increasing costs and potential regulatory pressures. Consider relocating data centers to water-rich areas to ensure long-term sustainability. **For businesses in water-stressed regions:** Prepare for potential conflicts with tech companies over water resources. Develop contingency plans for water scarcity and invest in water-saving technologies across your operations to remain competitive.

Expect a surge in water-related innovations and partnerships. Tech giants will likely invest heavily in water-saving technologies, creating new market opportunities for water management solutions. You'll see increased scrutiny on corporate water usage, potentially leading to stricter regulations and mandatory water efficiency standards. This could drive up operational costs but also spur the development of more sustainable AI technologies. Be prepared for a shift in consumer preferences towards water-conscious brands and products, potentially reshaping market dynamics across various sectors.