š§ Water Intelligence: How Smarter Water Systems Unlock The Next Generation Of Supply
Why reliability depends less on increasing supply ā and more on seeing, measuring, and controlling consumption.
Special thanks to GigaClimate Advisor and our A&R Series author, Chris Mangieri
Industrial developments like Chicagoās Quantum Prairie will require high tech project developers to actively manage water consumption.
š§The Case for Active Water Consumption Management
Water supplies have become inherently volatile. They rise and fall with precipitation and temperature, shaping how much water is available in reservoirs, rivers, and aquifers from one season to the next.
As demand for water remains steady and continues to grow, reliability becomes the binding constraint. Systems fail not because water disappears overnight, but because consumption is poorly measured and slow to adjust while supply fluctuates in real time.*
For decades, the response to this challenge has been to expand supply: new reservoirs, longer pipelines, and more centralized treatment. Each step has become slower, more expensive, more energy-intensive, and more politically constrained than the last. Meanwhile, the way water is used ā inside industry, buildings, farms, and cities ā has barely changed.
The next generation of water companies wonāt succeed by focusing on demand or supply alone. Like so many industries in the 21st century, effective water resource management will require access to data and insights that make consumption visible, measurable, and controllable. Understanding who is using water, how much, and when turns demand from a fixed assumption into a flexible system input.
In a world of growing consumption and climate-driven volatility, this intelligence is what makes reliability possible and what allows smaller, faster, targeted sources of supply to work.
*The reliability of aging water infrastructure in North America and Europe is also a huge contributing factor to this challenge. This article focuses on Water Intelligence for supply and consumption, but our friends at Burnt Island Ventures talk a lot about this topic on their podcast. For those inclined to longer-form narrative, Marc Reisnerās 1986 Cadillac Desert dives into the history of American water infrastructure.
š· The Limits & Costs of Building Our Way Out
Globally, freshwater withdrawals have increased more than 6x over the past century, driven by population growth, industrialization, and agriculture. A decade ago, 4 billion people experienced severe water scarcity for at least one month each year, and that number has only increased.
Historically, societies have responded by building their way out. They designed reservoirs to meet worst-case demand scenarios decades into the future. They built inter-basin transfers to move water hundreds of miles to fuel population growth. And recently, they financed desalination plants to supplement when ground and surface water supplies were insufficient.
These approaches assumed two things:
Long-term demand was predictable
Overbuilding infrastructure to meet peak conditions was necessary
With the high marginal cost of water and varying climate conditions, both assumptions are breaking down. For example, in California, proposed large-scale desalination projects have faced public opposition and multibillion-dollar price tags (the situation is similar in Texas). Once operational, these plants require 2-10 kWh of electricity per cubic meter of water produced, tying water costs directly to electricity prices, which have risen 6.7% year-over-year for industry as of September 2025 (7.4% for residential users). On average, the price of a desalination plant in the US costs 10x more (on a $ per cubic meter per day basis) than a similarly-sized plant in an advanced desalination market like the Middle East. While this highlights how costs decline as markets mature, it can take years, if not decades, for this to happen with CapEx-heavy infrastructure. Reservoirs, while a cheaper alternative, can take well over a decade to build, whether youāre in California or Texas.
Every year, itās harder and harder to finance and justify new supply at scale at current water prices.
ā”ļø What the Electric Grid Figured Out First
For most of the 20th century, electricity systems were built the same way water systems are today: large, centralized, and massively overbuilt to meet peak demand. Utilities planned generation and transmission to survive the hottest and coldest days of the year, even if those assets sat underutilized most of the time. The assumption was that demand was fixed, unpredictable, and largely invisible.
That assumption began to break once electricity demand became measurable in real time. Advanced metering, grid sensors, and digital controls gave operators visibility into when and where power was being consumed. Not just monthly totals, but hourly and sub-hourly loads. Demand could now be observed, forecasted, and influenced, rather than treated as an immovable input.
This transparency changed everything. Improving lighting (enter light-emitting diodes ā LEDs), insulation, appliances, and industrial processes turned avoided demand into the cheapest new source of power. Demand response and behind-the-meter resources also made load flexible, allowing consumption to be shifted or curtailed during peak times. In the US, demand response is the largest and most established form of virtual power plants, with 33GW of registered capacity in wholesale RTO/ISO programs and 31GW in retail programs as of 2023. For reference, as of 2017, the average size of a natural gas-fired power plant in the US was 820MW.
With demand now visible and controllable, utilities learned that peak load could be shaped rather than overbuilt. That demand intelligence unlocked a new supply paradigm:
Smaller, regional generation
Distributed and behind-the-meter resources
Storage deployed where and when it was needed
There are still plenty of utilities that focus on building large power-generating assets to rate-base them for profit. But as a whole, the grid has become much smarter about when, where, and how much supply it builds. Water is approaching the same inflection point. However, most water systems still lack the demand visibility that made this transition possible with the grid.
š¶āš«ļø Consumption Is the Blind Spot
The deeper constraint isnāt water availability; itās the lack of visibility and control over its use.
First, consumption is poorly measured. Many large water users still rely on monthly or quarterly billing data, making it hard to know when water is used and where peak stress occurs. Granular, real-time visibility into water usage is still the exception rather than the rule. Modern two-way water metering infrastructure is found at only 33% of utility endpoints in North America. The USGS only updates its water withdrawals and resources database every 5 years, leaving planners and operators effectively flying blind during periods of rapid change.
Second, water pricing is not dynamic. Water is typically priced with fixed and volumetric charges, ignoring factors that actually drive system risk: timing, reliability, and quality. The average US commercial water rate is $5.56 per 1,000 gallons. A gallon during peak drought stress is priced the same as a gallon during abundance, until systems fail.
Third, consumption is poorly controlled. Most water systems are binary: on or off. Few users can dynamically shift usage over time, substitute for different quality levels, or temporarily reduce demand without disrupting operations. That rigidity was manageable in a stable climate. It is a liability in a volatile one.
However, the consumption blind spot is beginning to close. Tools like OpenET, a satellite-based evapotranspiration dataset now covering 48 US states, provide near-real-time, field-level estimates of agricultural water consumption, offering a shared, objective view of demand that replaces 5-year estimates and self-reported withdrawals.
Once usage becomes transparent, it can be managed and eventually priced.
š± Why Consumption Comes Before Supply
A consumption-first water system flips the planning sequence. Instead of just starting with supply and treating demand as fixed, projects begin by defining demand: maximum and minimum water needs, system use flexibility, and the technologies available to manage it. Only then is supply designed to fit both local water constraints and project requirements. This shift is already underway in sectors where water risk directly threatens uptime.
Industrial Water Is A Clear Example
For many industrial operators, water scarcity shows up not as a higher bill, but as downtime. In sectors like chemicals, semiconductors, food processing, and advanced manufacturing, unplanned shutdowns can cost $100,000-$1 million per hour. That economic reality has quietly forced demand-first behavior long before regulators stepped in.
As a result, many industrial facilities now start by reducing and stabilizing internal consumption through closed-loop cooling, reuse, and fit-for-purpose water ā enabled by process-level data that makes water use visible. Facilities often cut freshwater intake first, using this visibility first to identify where demand is flexible and where itās not, before considering new supply. Only after demand is constrained do operators look to supplemental sources like brackish groundwater, on-site treatment, or modular desalination. Supply follows demand discipline, not the other way around.
Data Centers Are Following Suit
Modern data centers consume roughly 1-9 liters of water per kWh of electricity, depending on cooling design and climate, with AI workloads pushing heat density and water demand higher when evaporative cooling is used. That variability makes demand a design choice rather than a given.
In water-stressed regions like Arizona, new projects are being pushed to demonstrate explicit water budgets, cooling strategies, and non-potable sourcing before approvals move forward. This has reshaped facility design. Moving away from traditional evaporative cooling toward liquid-cooled and ideally air-cooled systems that can reduce on-site potable water demand significantly, from 9 L/kWh down to near 0 L/kWh with air-cooled systems. These design changes can determine whether a project is approvable at all in such water-constrained regions.
The takeaway isnāt that supply disappears. Itās that long-term consumption intelligence determines what kind of supply is viable at all. In water-stressed regions, projects that reshape consumption upfront move faster, face fewer political hurdles, and unlock smaller, more flexible supply options. Those that donāt increasingly struggle to get built.
š Where Founders Can Actually Build
This demand-first, supply-enabled model is already showing up in the market. The opportunity for founders isnāt to replace existing water infrastructure, but to build control layers and targeted systems that incumbents canāt productize fast enough.
Industrial Water Is The Most Immediate Entry Point
Industrial operators experience water risk as downtime, not higher bills. Incumbents like Veolia, SUEZ, Ecolab, and Xylem dominate treatment and services, but largely sell equipment, chemicals, and long-term contracts rather than dynamic demand control or reliability guarantees. That gap has opened space for companies like Gradiant and Aquatech, which pair real-time demand visibility with right-sized, performance-driven supply. Founders here sell uptime, compliance certainty, and avoided shutdowns ā not gallons.
Buildings & Campuses Are Emerging As Micro-Utilities
Large commercial buildings already manage energy like a system, but water remains siloed. Incumbents such as Johnson Controls, Siemens, and Schneider Electric control building operations, while newer players like Hydropoint and WINT bring real-time water demand intelligence into those environments.
Cooling towers and central plants account for a significant share of water use at large campuses. Submetering and real-time monitoring at these assets can allow operators to identify losses and shift loads before they trigger costly upgrades. The wedge for founders is integration, embedding accurate water measurement and control into existing building control stacks so that water can be managed more like electricity.
Agriculture Is Shifting From Efficiency To Peak Management
Precision irrigation leaders like Netafim built the market for efficiency. Newer platforms such as CropX, Arable, and Semios are moving beyond efficiency to focus on timing irrigation based on crop stress and system-level risk. Founders win by reducing peak water demand during critical periods, protecting yields rather than just saving water.
Energy & Data Infrastructure Are Redefining The Buyer
Hyperscalers such as Google, Microsoft, and Meta now treat water as a siting and operational constraint rather than a utility input. In Tucson, AZ, a proposed data center was rejected last year, with city officials stating that they āwould be hard pressedā to find enough water there. This has pulled forward demand-first design and localized supply strategies, creating room for companies working at the demand-supply boundary, from advanced cooling to non-potable and modular water systems. For founders, these customers move fast, pay for certainty, and shape local water markets through procurement alone.
Across all four, the pattern is the same. Incumbents own the infrastructure, but founders who control measurement, flexibility, and reliability increasingly determine how water systems evolve.
šāāļøāā”ļø Why Incumbents Canāt Move Fast Enough
Water utilities arenāt broken; theyāre optimized for a different world. Theyāre built to ensure public health, affordability, and regulatory compliance over infrastructure lifetimes measured in decades. Major water projects are amortized over multi-decade, even 100-year timelines ā this is fundamentally misaligned with the seasonal volatility of climate change.
Engineering firms face a similar challenge. Their business models are built around delivering capital-intensive projects on time and on budget, with compensation tied to project size and scope, not to avoided resource use, system reliability, or deferred infrastructure. The result is a system that responds to stress by building more, even when smarter demand management would be faster and cheaper.
Startups win by selling outcomes incumbents canāt easily monetize:
Reliability instead of volume
Deferred infrastructure instead of expansion
Regulatory certainty instead of emergency response
In this model, avoided demand and right-sized supply are turned into monetizable assets, similar to how efficiency and demand response worked for the electric grid.
šļø From Consumption to Control
The future of water isnāt necessarily about decreasing demand or increasing supply. Itās consumption-led systems that unlock precision supply, replacing blunt, overbuilt infrastructure with control. When this happens, peak loads are flattened, and quality requirements are specified rather than assumed. Supply becomes targeted, more modular, and reliability shifts from an aspiration to a design constraint.
When demand is transparent and manageable, water stops being something systems passively consume and becomes something they actively orchestrate.
This transition mirrors what already happened in electricity. Efficiency, demand response, and behind-the-meter resources didnāt eliminate generation; they made it smarter, more distributed, and aligned with how systems actually operate. Water is now entering the same phase, just later and under far greater climate pressure.
At GigaClimate, this is the layer weāre building toward: companies that measure demand in real time, reshape it under stress, and unlock right-sized supply where legacy systems fall short. That includes demand intelligence platforms, performance-based water services, and modular supply designed around control rather than scale.
The most critical water companies of the next decade wonāt be defined by the volume of water they move, but by how well they coordinate demand, quality, timing, and resilience.
In our final Water A&R piece, weāll explore what happens when the control layer extends beyond optimization and begins to close the loop entirely, creating a more circular water economy that leverages wastewater as a resource.