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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.

Webflow Strengthens Marketing Suite With Acquisition Of AI-Powered Vidoso

Strategic Acquisition For Enhanced Marketing

Webflow, a leading software platform for website building and hosting, has acquired AI-driven content-generation platform Vidoso to advance its suite of marketing offerings. The move signals Webflow’s strategic shift from being recognized solely as a website builder and CMS provider to emerging as a holistic, agentic marketing platform.

Integrating AI With Content Creation

Vidoso, founded in 2024, uses large language models to help organizations generate marketing materials such as images, presentations, video clips, blog posts and social media content. One of the platform’s features allows users to convert long-form content, including keynote presentations or panel discussions, into shorter formats such as video clips and blog posts. Following the acquisition, Vidoso’s four-person team will join Webflow, and the technology is expected to be integrated into the company’s broader content and marketing tools

Driving Operational Efficiency In A Competitive Market

Webflow has raised more than $330 million in funding and has previously expanded its marketing capabilities through acquisitions and partnerships. Earlier initiatives included the acquisition of personalization platform Intellimize and the launch of integrations with advertising platforms such as Google Ads. The company is operating in an increasingly competitive market as startups develop AI tools for marketing automation. Competitors in this space include companies such as Kana, Hightouch and Blueshift. Webflow CEO Linda Tong said the company aims to build a platform that connects brand management, demand generation, product marketing and content development within a single system.

Closing The Gap With Branded AI Content

Vidoso’s CEO, Sharad Verma, explained that earlier iterations of AI delivered generic content that lacked alignment with individual brand systems. “Frontier models are trained on the average of the internet, not on the specifics of your brand,” Verma stated, emphasizing how Vidoso’s platform addresses this shortfall by ensuring consistent, governed, and production-ready content that aligns with existing marketing workflows.

A Forward-Looking Vision

Webflow views the acquisition as part of a broader shift toward AI-assisted marketing tools that combine content creation with performance insights. According to Tong, integrating these capabilities into a single platform allows companies to create marketing assets while analyzing their performance and refining future campaigns.

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