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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.

How Venture Capital Can Help Create Startup Fraud

Fraud Is Often A System Problem, Not Just A Founder Problem

A new report from Imperial College London and Emlyon Business School examines how venture capital-backed founders commit fraud and how investors can unintentionally create the conditions for it.

Published in June, the study draws on cases pursued by the U.S. Securities and Exchange Commission and the Department of Justice between 2000 and 2023. Its central conclusion is that fraud is not solely a founder problem, but can also stem from the incentives, expectations and governance structures surrounding startups.

High Expectations, Higher Risks

Several high-profile cases, including Charlie Javice of Frank, Gökçe Güven of Kalder, Do Kwon of Terraform Labs, and Alexander and Valerie Lau Beckman of GameOn, have intensified debate over where ambitious fundraising ends and fraud begins.

“Fraud is much more common and normalized in the startup world than we are ready to admit and accept,” Tim Weiss, one of the report’s authors, told TechCrunch.

Weiss also cited a University of Toronto study covering 654 fraud cases involving U.S. venture-backed startups between 2000 and 2023. Although fraud remained relatively rare, venture-backed companies were more likely to face fraud charges than non-VC-backed firms, while startups launched during overheated investment markets were 19% more likely to commit fraud later.

According to Weiss, pressure from investors and boards to deliver rapid growth can encourage misconduct, particularly in fast-moving sectors such as artificial intelligence.

The Three Stages Of “Façading”

The report, co-authored by Weiss and Nevena Radoynovska, identifies a three-stage process the authors call “façading.”

Surface façading begins with exaggerated claims about a company’s progress or traction. Reinforced façading involves creating evidence to support those claims, including fabricated contracts, invoices or revenue records. Deep façading extends the deception to the product itself through fake demonstrations and staged proof points.

Rather than beginning with a single act of fraud, the report argues that misconduct often develops gradually as founders attempt to sustain increasingly unrealistic expectations.

Investors Also Shape The Conditions For Fraud

One of the report’s central arguments is that investors are not always passive victims of founder misconduct. In some cases, they help create the conditions in which fraud becomes more likely.

According to the researchers, venture capital can “co-create fraud” by continuing to back founders who have previously been accused of misconduct, signaling that such behavior carries few long-term consequences. A separate University of Toronto study found little evidence that founders accused of fraud struggle to raise funding for new ventures, even when earlier cases attracted significant media attention.

“New investors and the broader VC market do not penalize past misconduct,” the report said, linking that pattern to Silicon Valley’s long-standing tolerance for failure.

Governance Plays A Critical Role

The University of Toronto study also identified governance as a key factor. Startups with founder-controlled boards were twice as likely to commit fraud as companies with investor-controlled or shared-control boards.

It also found that venture-backed companies going public were more likely to face securities class-action lawsuits within two years than private equity-backed firms. As startups remain private for longer while raising larger funding rounds, Weiss argues that governance has not kept pace with their growing scale.

“Founders do not have a professional body or association that could govern or enforce rules of entrepreneurial and investor conduct on how to be a good founder and what reasonable growth expectations are,” he said.

Calls For Stronger Oversight

Weiss argues that regulators should take a more proactive approach by introducing routine investigations and formal audits once startups reach significant funding thresholds, rather than waiting for whistleblower complaints or investor lawsuits.

The report also calls on investors to accept greater responsibility when aggressive growth targets contribute to governance failures. According to the authors, stronger oversight by both regulators and investors would help reduce the conditions in which fraud can develop.

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