Artificial Intelligence and the Future of Water
A quiet revolution is taking place in the world of water. Beneath the surface —literally— water is going digital. Yes, water, that resource we take for granted every day, is being transformed by technology.
But unlike other sectors, water moves at its own pace. New treatment system technologies can take up to 15 years to be adopted. And for good reason: we are talking about a field where any mistake can cost lives and enormous amounts of money. There’s no room here for reckless innovation.
Even so, something is changing. New waves are emerging in this technological sea, and one particularly big one is arriving: the wave of digitalization. And who’s surfing it? Artificial Intelligence (AI).
From “impossible” to “how could we not?”
Just a couple of years ago, bringing up artificial intelligence in a conversation about water treatment was almost a joke. Operators would say: “AI? I do everything on paper.” Or, “How could I use AI if I don’t even have sensors in my plant?”
But something changed. Today, instead of dismissing the idea, the question is: “Can Poseidon, or some AI system, automatically control everything in my plant?”
What happened between “I don’t even know where to start” and “tell me more”? The answer has a name: ChatGPT. The arrival of generative AI has put this technology into everyone’s hands. It has even encouraged traditionally conservative sectors, like water treatment, to take the leap toward digital transformation.
Of course, not everything is rosy. The popularity of AI has also created somewhat inflated expectations. Some expect it to already be capable of controlling an entire plant, reducing costs to historic lows, and doing it all autonomously. That, for now, is not possible.
Why? Because running a water treatment plant is far more complex than writing a poem or generating a chat response. It requires a combination of advanced tools: machine learning models, robust control systems, and —above all— safety measures that leave no room for error.
AI and water security
Beyond the dream of full automation, AI plays a crucial role in something equally important: water security.
We live in a world where water is under pressure. Climate change, population growth, and pollution make ensuring access to quality water a challenge. This is where AI can make a real difference.
By analyzing sensor data and monitoring systems, AI can detect problems before they turn into crises. A change in water quality? An unexpected spike in consumption? AI can see it coming and issue an alert, buying valuable time to act.
These technologies can also be applied in less obvious ways, such as reducing water footprints —even the “grey” water footprint, the water we pollute without realizing it. Optimizing a wastewater treatment system beyond regulatory requirements, without increasing costs, could mean that an average industry prevents the contamination of enough water to supply 20,000 people every day.
The standard of the future
We have no doubt that if today’s gold standard for any plant is a SCADA control system, within less than 10 years the standard will be an Operational Control Center —a Digital Twin powered by AI— and the top-of-mind company will be www.ainwater.com.
