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American Focus > Blog > Tech and Science > Musk Funded the Carbon-Removal XPrize but Is Now Slashing Climate Research
Tech and Science

Musk Funded the Carbon-Removal XPrize but Is Now Slashing Climate Research

Last updated: April 23, 2025 10:40 pm
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Musk Funded the Carbon-Removal XPrize but Is Now Slashing Climate Research
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investors began pouring billions into startups that promised to pull CO2 from the air and store it underground.

Contents
On supporting science journalismElon Musk Skips Climate Prize EventThe Future of Carbon RemovalThe Future of Climate Innovation

But as Musk’s influence over federal climate policy grew, some carbon removal experts began to question his motives. One person familiar with his thinking suggested that Musk might have lost interest in the contest as his companies faced increasing competition from electric vehicle makers and aerospace firms that had received federal subsidies to pursue carbon removal technology.

“It’s possible that he saw the writing on the wall and decided to cut bait,” said the source, who spoke on the condition of anonymity.

The source speculated that Musk might also be wary of the public relations fallout from associating with a climate contest that had come under fire for failing to draw a diverse set of carbon removal innovators. In a statement earlier this year, the nonprofit acknowledged that the competition had attracted a predominantly white, male audience and pledged to do better in future contests.

Despite the controversy, the carbon removal industry is poised for explosive growth. According to a recent report from the consulting firm McKinsey, the market for carbon removal technologies could reach $800 billion by 2030, up from $30 billion today. Companies like Mati Carbon, NetZero, Vaulted Deep and Undo Carbon are well positioned to capture a significant share of that market as they scale up their operations and demonstrate the feasibility of removing billions of tons of CO2 from the atmosphere each year.

As for Musk, his decision to skip the Time100 Summit may have cost him an opportunity to burnish his environmental credentials and align himself with the next generation of climate leaders. But given his track record of disrupting industries and reshaping the global economy, it’s unlikely that Musk’s absence will slow the momentum of the carbon removal revolution he helped kickstart.

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Elon Musk Skips Climate Prize Event

Despite being named Time magazine’s “person of the year” in 2021, Elon Musk will not be attending the award ceremony in New York City to celebrate the winners of the $100 million competition for climate technologies aiming to remove carbon dioxide from the air and sea. The grand prize of $50 million will go to Mati Carbon, a Houston-based startup that uses crushed rocks and works with subsistence farmers to combat climate pollution.

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It remains unclear why Musk, who has been both an environmental advocate and a critic, has chosen to skip the event honoring the winners of a contest funded by his own foundation. The XPrize will be announced at the Time100 Summit, an annual event hosted by Time magazine featuring 100 influential people.

In addition to his work with Tesla and SpaceX, Musk has also been involved in efforts to downsize the federal government’s climate funding for research and projects. His foundation’s support of the carbon removal competition reflects his commitment to pushing clean energy solutions and innovative approaches to addressing climate change.

Nikki Batchelor, who led the Musk-funded carbon removal competition at the XPrize Foundation, emphasized Musk’s role in advancing clean energy and climate solutions. Despite Musk’s absence from the event, the competition has continued to drive progress in carbon removal technologies.

The Future of Carbon Removal

Commercializing carbon removal technologies is crucial as the world faces challenges in reducing emissions from fossil fuels. The runners-up in the XPrize competition, including NetZero, Vaulted Deep, and Undo Carbon, have also made significant contributions to carbon removal efforts.

The global need for carbon removal technologies is growing as the Earth’s capacity to absorb CO2 becomes strained. The XPrize competition has highlighted the importance of scaling up carbon removal operations to meet the demands of a changing climate.

While Musk’s absence from the Time100 Summit may have raised questions about his commitment to climate action, the carbon removal industry is poised for significant growth in the coming years. Companies like Mati Carbon and others are well positioned to lead the way in developing and deploying innovative solutions to address the challenges of climate change.

The Future of Climate Innovation

Despite Musk’s decision to skip the event, the momentum of the carbon removal revolution is unlikely to be slowed. The industry is set to undergo rapid expansion, with the potential to reach a market value of $800 billion by 2030. As companies continue to innovate and scale up their operations, the future of carbon removal looks promising.

While Musk’s absence may have been noted, his contributions to the climate and clean energy sectors have left a lasting impact. As the world grapples with the challenges of climate change, innovators and leaders like Musk will play a crucial role in driving progress and shaping the future of our planet.

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Lawmakers have recently expanded subsidies for direct air capture, sparking a wave of support from big businesses and U.S. policymakers. This move has led to a surge in carbon removal startups, with many new teams forming after the Musk-funded carbon removal competition. One of the standout winners of this competition is Mati, a public benefit corporation owned by a nonprofit.

Mati, led by CEO Shantanu Agarwal, focuses on deploying carbon removal technologies while benefiting subsistence farmers in the Global South. Agarwal, a former oil field services engineer and venture capitalist, saw the potential of enhanced rock weathering as a scalable pathway that brings significant co-benefits to smallholder farmers.

The company works with farmers in India, Zambia, and Tanzania to spread locally sourced minerals on their fields, which soak up carbon and reduce runoff for rain-dependent farms. Mati also sells carbon removal credits and shares the revenue with the farmers, who are vulnerable to climate-related challenges such as droughts and extreme weather events.

With a $50 million prize from the competition, Mati plans to expand to several new countries faster than initially planned and reduce the cost of its removals to $100 per ton, down from nearly $400 currently. This infusion of cash will help the company make a greater impact on both climate and human life.

While Mati and other carbon removal companies are making strides in the field, they have also faced challenges due to funding cuts and expertise loss in the federal government. The Trump administration’s budget cuts have impacted agencies like USAID, which previously provided significant humanitarian and agricultural assistance.

Elon Musk’s criticisms of USAID and the dismantling of the agency have further complicated the landscape for carbon removal companies. Collaborations with researchers in academia and the federal government have been disrupted, leading to concerns about the overall progress of the industry.

Despite these challenges, organizations like XPrize continue to support innovation in carbon removal. While there may be distractions in the background, XPrize remains focused on building momentum and scaling solutions to address climate change.

As the industry continues to evolve, it is essential for policymakers, businesses, and stakeholders to work together to overcome obstacles and drive progress in carbon removal technologies. By supporting initiatives like direct air capture and enhanced rock weathering, we can make meaningful strides towards a sustainable future. The field of artificial intelligence (AI) is rapidly expanding, with new advancements and breakthroughs being made on a regular basis. One of the most exciting areas of AI research is in the development of deep learning algorithms, which are modeled after the way the human brain processes information.

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Deep learning is a subset of machine learning, which itself is a subset of AI. What sets deep learning apart is its use of neural networks, which are complex networks of interconnected nodes that are loosely modeled after the neurons in the human brain. These neural networks are able to learn from large amounts of data and make predictions or decisions based on that data.

One of the key advantages of deep learning is its ability to automatically discover patterns and relationships in data that may not be immediately apparent to human analysts. This is particularly useful in fields such as image recognition, natural language processing, and speech recognition, where the amount of data to be analyzed is vast and complex.

In recent years, deep learning has made significant strides in a number of domains. For example, in the field of healthcare, deep learning algorithms have been used to analyze medical images and diagnose diseases such as cancer with a high degree of accuracy. In the field of autonomous driving, deep learning has been used to develop algorithms that can recognize and react to traffic signs, other vehicles, and pedestrians in real-time.

Despite its many advantages, deep learning is not without its challenges. One of the biggest challenges is the need for large amounts of labeled data to train the algorithms effectively. This can be a time-consuming and expensive process, especially in domains where data is scarce or difficult to obtain.

Another challenge is the “black box” nature of deep learning algorithms, which can make it difficult to understand how they arrive at their decisions. This has raised concerns about the potential for biases to be inadvertently encoded into the algorithms, leading to unfair or discriminatory outcomes.

Despite these challenges, the potential applications of deep learning are vast and varied. From improving healthcare outcomes to enhancing the safety and efficiency of transportation systems, deep learning has the potential to revolutionize many aspects of our lives. As researchers continue to push the boundaries of what is possible with deep learning, we can expect to see even more exciting advancements in the years to come.

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