IN A NUTSHELL
  • 🌍 Orbital Materials is leveraging AI to transform data centers into carbon capture hubs, addressing AI’s environmental impact.
  • 💡 The startup uses a unique purple powder sorbent, designed by AI, to efficiently capture carbon at high temperatures.
  • 🏗️ Their portable system, housed in shipping containers, offers scalable deployment to various data centers.
  • 🔬 This initiative reflects a broader trend of using AI to accelerate scientific discovery and promote sustainability.

In an era where artificial intelligence is revolutionizing industries, the environmental impact of its enormous energy consumption often goes overlooked. As AI continues to grow, so does its carbon footprint, primarily due to the energy demands of training large models. However, a groundbreaking initiative by a new startup offers a glimmer of hope. Orbital Materials, founded by a former DeepMind researcher, aims to transform data centers from energy-hungry giants into key players in the fight against climate change. By capturing CO₂ using AI-designed materials, Orbital seeks to mitigate the environmental impact of data centers, potentially pioneering a new frontier in carbon capture technology.

Capturing Heat, Cutting Carbon

The challenge of direct air capture has long been its prohibitive cost, with expenses reaching up to $1,000 per ton of captured carbon. However, Orbital Materials is determined to change this narrative. According to Jonathan Godwin, the company’s CEO, their pilot project at a data center in the UK has already shown promise. Early tests indicate that costs could drop to around $200 per ton, much lower than initially anticipated. The secret lies in a new molecule—a purple powder—that operates efficiently at the high temperatures typical of data centers.

This innovative molecule stands apart due to its ability to perform in heat-intensive environments, a capability lacking in conventional sorbents. The carbon capture process involves drawing air through this material, which traps carbon dioxide. Once heated, the sorbent releases the CO₂, which is then collected and stored. By combining AI advancements with cutting-edge chemistry, Orbital is poised to make a significant impact on carbon reduction efforts.

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Portable, Scalable Deployment

One of Orbital’s most compelling innovations is the portability of their system. Housed in shipping containers, these systems can be easily deployed to data centers, making them versatile and scalable. The idea of capturing air directly from data centers has been discussed for years, but traditional sorbents required cold air, which was incompatible with the hot air emitted by data centers. Orbital overcame this hurdle by utilizing AI to design a molecule that efficiently absorbs carbon at higher temperatures.

The resulting material—a purple powder—has been rigorously tested and is now being marketed as Orbital’s first commercial product. Despite the environmental acknowledgment from tech giants like Amazon and Google, there has been hesitance to adopt carbon capture technologies at scale. Godwin notes that many cloud providers are risk-averse, but Orbital’s innovative approach might pave the way for broader adoption.

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Addressing Industry Challenges

While Orbital’s system holds promise, challenges remain. The carbon capture technology is still in its infancy, and its ability to operate efficiently at scale is yet to be demonstrated. Moreover, issues surrounding the cost of deployment and the storage of captured carbon need to be addressed. However, Orbital’s use of AI to develop new materials reflects a broader trend in leveraging machine learning to speed up scientific discovery.

If successful, Orbital’s pilot project could serve as a valuable test case for the role data centers might play in carbon removal. The initiative not only addresses the immediate environmental impact of data centers but also encourages a shift in how tech companies manage their carbon footprints. The insights gained from this project could inform future technologies aimed at tackling climate change.

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The Future of AI and Carbon Capture

Orbital’s pioneering efforts underscore the potential of AI to drive environmental change. By transforming data centers into critical components of carbon capture strategies, the company is setting a precedent for integrating technology with sustainability. Their success could inspire other tech companies to follow suit, leading to a broader adoption of carbon capture technologies.

As AI continues to evolve, its role in environmental sustainability becomes increasingly significant. Orbital’s project highlights the importance of innovation in addressing the pressing issues of our time. By harnessing AI to design efficient carbon capture materials, they are not only reducing carbon emissions but also paving the way for a greener future. Could this be the beginning of a new era where technology and nature work hand in hand to combat climate change?

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Hina Dinoo is a Toronto-based journalist at Sustainability Times, covering the intersection of science, economics, and environmental change. With a degree from Toronto Metropolitan University’s School of Journalism, she translates complexity into clarity. Her work focuses on how systems — ecological, financial, and social — shape our sustainable future. Contact: [email protected]

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