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Amazon To Test AI-Created Material For Carbon Capture In Data Centers

Amazon is stepping up its environmental efforts by testing a groundbreaking carbon-removal material for its data centers. The company, which is tackling the growing emissions linked to the artificial intelligence systems powering these centers, has partnered with Orbital Materials, a startup that used AI to design the innovative substance.

Jonathan Godwin, CEO of Orbital Materials, explained that the new material acts like an atomic-level sponge, with cavities precisely sized to capture CO2 without interacting with other elements. This targeted approach could be a game-changer in carbon filtration.

One of the appealing aspects of the new material is its cost-effectiveness. Godwin estimates that the material could account for just 10% of the cost associated with renting a GPU chip for AI training, significantly less than the price of traditional carbon offsets.

Meanwhile, the demand for energy in data centers is rising, as AI’s rapid development requires more power and cooling solutions. This surge poses a challenge for Amazon, which is committed to achieving net-zero carbon emissions by 2040.

Amazon Web Services (AWS), the world’s largest cloud provider by revenue, plans to begin piloting the AI-designed carbon removal material in one of its data centers starting in 2025. This initiative is part of a three-year collaboration with Orbital, which will also gain access to AWS’s technology and open-source AI tools for further development.

Howard Gefen, General Manager of AWS Energy & Utilities, stated that the partnership would promote sustainable innovation, but financial details remain undisclosed. Orbital, with offices in Princeton, New Jersey, and London, began its journey about a year ago by setting up a lab to synthesize AI-designed materials. The startup aims to work with AWS to test additional AI-generated solutions, addressing water usage and cooling requirements in data centers. Godwin co-founded Orbital, which currently employs 20 people and is supported by investors such as Radical Ventures and Nvidia’s venture arm. Before this, Godwin contributed to materials science work at Alphabet’s DeepMind until 2022.

Meta Takes Muse From Consumer Buzz To Small Business Utility

Meta is widening the ambitions of its Muse AI agent, moving beyond consumer appeal and into the operational core of small business workflows.

A New Push Into Business Productivity

The company on Tuesday introduced Muse for Small Business, a version of the agent designed to connect with widely used software and services from Asana, Zoom, Intuit, Box, Canva and Slack. It can also link directly to Meta ad accounts and professional Instagram and Facebook profiles, turning the agent into a more practical business tool rather than a standalone assistant.

Pricing remains aligned with the existing Muse app, which is free within usage limits and available on a subscription basis for heavier use.

Meta’s Enterprise Strategy Is Coming Into Focus

The launch follows Monday’s announcement that Meta will build a broader enterprise platform and has brought in MongoDB CEO C.J. Desai to lead it. That platform is expected to include a Muse agent, a business agent and a coding tool, signaling a more deliberate move into enterprise software.

The timing is notable. Meta has enjoyed a strong stretch on Wall Street, with the stock rising sharply in September before pulling back in recent sessions. Much of that momentum has been tied to Muse, which launched on Sept. 8 and quickly climbed to the top of Apple’s App Store, overtaking ChatGPT. Evercore analyst Mark Mahaney has said he expects Muse to reach 100 million users within six to 12 months.

Why Small Business Matters To Meta

Meta CEO Mark Zuckerberg has been explicit about the company’s push to find durable AI revenue beyond advertising, which still accounts for the overwhelming share of Meta’s business. After spending heavily on AI talent, including Scale AI founder Alexandr Wang, Meta has begun rolling out new models under the Muse Spark family, and Zuckerberg has called Muse the “centerpiece” of the company’s AI strategy.

For Meta, small business is a logical entry point. The company says about 200 million small businesses already use Facebook, giving it a vast distribution base and a ready-made customer pool for AI-driven productivity tools. In other words, Meta is not trying to create demand from scratch; it is trying to attach a higher-value service to an existing ecosystem.

The Competitive Stakes Are Rising

The new product arrives as OpenAI holds its developer day and as competition intensifies across enterprise AI. Meta’s move is a clear signal that it intends to compete not only for consumers, but also for business users who increasingly want AI embedded into the platforms they already rely on.

As Meta put it in its announcement: “Small businesses have been growing on our apps for nearly two decades. They told us they’re short on hours, not ideas. So we built Muse for Small Business to help get work done with the tools they already use.”

That framing captures the broader opportunity. The next phase of AI adoption will not be defined solely by novelty or chatbot engagement. It will be defined by integration, workflow efficiency and the ability to deliver measurable business outcomes. Meta appears determined to be in that race.

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