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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.

Blue-Collar Renaissance: AT&T’s Bold Strategic Shift In The AI Era

The American labour market is undergoing a significant shift as employers increasingly prioritise technical and practical skills alongside the rapid expansion of artificial intelligence across industries. Companies, including AT&T are expanding recruitment efforts focused on skilled technicians rather than relying primarily on traditional four-year degree pathways, reflecting broader changes in workforce demand.

Blue-Collar Talent: The New Engine Of Growth

From infrastructure installation to electrical systems and photonics, employers are increasingly searching for workers with specialised hands-on expertise. AT&T Chief Executive Officer John Stankey recently said the company’s future growth will depend heavily on recruiting workers with practical technical skills. Other major companies, including Nvidia and JPMorgan Chase, are also placing greater emphasis on technical and trade-related roles as artificial intelligence reshapes labour needs.

Recalibrating The American Dream

For decades, a university degree was widely viewed as the primary path toward economic mobility in the United States. The growing adoption of AI across business operations, however, is changing hiring patterns and reducing demand for some traditional entry-level white-collar roles. At the same time, rising tuition costs and growing student debt have intensified debates around the long-term economic value of conventional higher education pathways.

Transforming Entry-Level Career Paths

Recent labour market data point to widening differences between employment trends in blue-collar and white-collar sectors. While graduates entering industries vulnerable to automation are facing slower hiring conditions, demand for infrastructure and construction-related roles linked to data centres and energy projects continues growing. Industry leaders increasingly argue that future entry-level roles will favour workers capable of combining technical expertise with the ability to manage and work alongside AI systems.

Investing In The Future: Training And Retention

AT&T recently announced plans to invest $250 billion in expanding its fibre network infrastructure. The company said around 15% of the investment will support hiring and training programmes focused on developing skilled technical workers. The initiatives come as the United States continues facing shortages across several skilled trades, with the U.S. Department of Education previously warning that millions of related positions could remain unfilled by 2030.

A New Era For American Work

The shift in hiring priorities is prompting broader discussions around the relationship between academic credentials and workforce readiness. As employers increasingly recognise alternative career pathways, educational institutions and companies are reassessing how technical training, apprenticeships and digital skills programmes fit into the future labour market. Industry experts say workers capable of combining practical expertise with AI-supported workflows are likely to become increasingly valuable as automation continues to reshape the economy.

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