The KQED article talks about the division of water recycling plants specifically about The San Francisco Bay Area lagging far behind Southern California in water recycling, which could take decades to catch up, according to policy experts. The lower half of the state recycled 83% more water than the Bay Area last year. With two multi-year droughts in a decade and the pace of human-caused climate change accelerating, water agencies in the region are grappling with the need for more recycled water. California’s climate is expected to grow more arid, providing 10% less water statewide by 2040, and recycled water must be part of the state’s plan to adapt to drought. 

With the Bay Area seemingly never going to stop growing as tech only keeps revolutionizing and silicon valley brings in more jobs and families, the Bay will need to respond for an upcoming demand in resources. So, the development of more efficient and effective methods of treating wastewater is crucial in ensuring a sustainable future, as it helps to minimize environmental pollution and the spread of diseases. The use of AI and machine learning technologies in wastewater treatment is a very interesting concept and not only helps to automate the process but also improves the accuracy and speed of decision-making, reducing the potential for human error.