Ecolab Buys CoolIT for $4.75bn to Build Low-Water AI Data Cooling

Ecolab has closed its roughly $4.75 billion acquisition of CoolIT Systems, a leader in direct liquid cooling for high-density data centres, extending the water-technology group's reach into the fast-growing market for AI infrastructure. The deal, which closed earlier than expected, positions Ecolab to offer cooling and water solutions across the AI value chain at a moment when the water and power demands of data centres have become a defining sustainability concern. CoolIT's sales have more than doubled so far this year, driven by surging demand for liquid cooling in AI facilities.

 

Why Water Sits at the Centre of AI

 

The strategic thesis behind the deal is that AI runs on water as much as electricity. Water is needed to manufacture chips, to cool the systems that run them and, indirectly, to generate the power they consume, which is why a company built on water technology sees AI infrastructure as a natural extension rather than a departure. Ecolab frames itself as now able to offer end-to-end solutions across that chain, from ultra-pure water for chip fabrication to cooling for the most powerful AI data centres.

That water intensity is precisely where the environmental stakes lie. Data centres have drawn growing scrutiny for the volume of water they consume for cooling, often in regions already under water stress, and the shift to denser AI computing is pushing those demands higher. A supplier that can reduce the water and power a data centre needs to stay cool is selling into a problem that is becoming both a commercial bottleneck and a sustainability flashpoint.

 

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The Technology and Its Environmental Claim

 

At the centre of the combined offering is a cooling platform Ecolab plans to unveil later in 2026, pairing CoolIT's hardware, including cooling distribution units and cold plates, with Ecolab's 3D TRASAR digital optimisation and advanced cooling fluids. The system is designed to give operators real-time visibility into performance so they can cut cooling power demand and improve efficiency, while closed-loop designs move facilities toward what the company describes as a near-zero water footprint.

The direction of that technology is what gives the deal its ESG substance. Direct liquid cooling is more efficient than traditional air cooling for the high-density racks that AI workloads require, and closed-loop systems recirculate water rather than consuming it continuously, which is the mechanism behind the near-zero water claim. Ecolab says the platform is applicable to advanced AI architectures including NVIDIA's Vera Rubin and Grace Blackwell systems, and NVIDIA engineers pointed to a track record of collaboration with Ecolab and CoolIT across coolant qualification and cooling infrastructure. Whether the near-zero water footprint holds at scale, across diverse deployments and climates, is the claim that will bear watching as the platform rolls out.

 

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A Growth Engine Built on AI Infrastructure

 

For Ecolab, the acquisition accelerates the expansion of a business it has made its primary growth engine. Its Global High-Tech unit generated around $150 million in sales in 2021 and, following the additions of Ovivo and now CoolIT, is approaching $1.5 billion in annualised sales in 2026, with the company targeting $4 billion by 2030 at operating margins of 25 percent. Chief executive Christophe Beck framed the strategy as positioning Ecolab to let AI scale more rapidly while respecting communities, the environment and natural resources.

That framing links the commercial and environmental cases directly, arguing that reducing the resource intensity of AI infrastructure is itself the source of the growth. The bet reflects a wider pattern of established industrial firms repositioning around the demands of AI, in this case using water expertise as the entry point rather than power generation or compute. The scale of the ambition, quadrupling the high-tech business within four years, rests on continued explosive demand for AI capacity and on the cooling platform delivering the efficiency gains it promises. How quickly hyperscale operators adopt the closed-loop approach, and whether it meaningfully lowers the water and power footprint of AI data centres in practice, will determine whether the deal advances the sustainability goals Ecolab has attached to it or simply captures a fast-growing market.