Bezos Earth Fund, founded by billionaire Jeff Bezos, founder and former CEO of Amazon, launched a major initiative called the AI for Climate and Nature Grand Challenge in April 2024. The program pledges up to $100 million to support teams using artificial intelligence (AI) to solve environmental problems. Recently, it revealed its first grantees or recipients of the fund.
The funding initiative focuses on real-world solutions. It aims to reduce carbon emissions and protect wildlife using smart technology. The goal is to link AI experts with environmental groups. This helps them use AI to solve tough climate and nature problems.
Many of these organizations have strong ideas but lack the tech expertise or funding to apply AI. This is where the Bezos Earth Fund comes in, offering grants and encouraging teamwork across fields.
The challenge focuses on four main areas:
- Sustainable proteins. Finding AI tools that speed up the discovery and production of plant-based or alternative proteins.
- Biodiversity conservation. Using AI to track endangered species, protect ecosystems, and stop threats like illegal logging.
- Power grid optimization: Developing smarter, cleaner ways to store and distribute renewable energy.
- Wildcard innovations. Supporting creative AI ideas that don’t fit into a standard category but have strong environmental potential.
Let’s get to know who these grantees are and what they do.
Grantees Tackling Carbon Removal and Climate Solutions
In May 2025, the Bezos Earth Fund announced its first 24 grantees, each receiving $50,000 to build out their ideas. Some of the most impactful focus on climate mitigation and carbon removal, including:
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Carbon Sim: CO₂ Removal Accelerator (Yale University)
This project uses AI-powered simulations to test and improve strategies for carbon dioxide removal (CDR). It aims to help scientists quickly evaluate which methods—like soil enhancement or ocean capture—are the most effective at storing carbon.
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EV Charging Optimization (Cornell University)
Cornell’s team is creating a tool that uses real-time AI to manage charging for electric vehicles (EVs). It adjusts when and how cars are charged so they act as energy storage for the power grid. This can support the shift to renewable energy and help reduce emissions.
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Livestock GPT
Another Cornell project, Livestock GPT is a generative AI tool that helps dairy farmers cut methane emissions. It includes a chatbot that gives feed and farm advice—especially for use in emerging economies—helping reduce climate-warming gases from livestock.
These climate-focused grantees aim to tackle emissions directly while making climate solutions more scalable and accessible.
Why This Matters for Climate and Nature
AI has the potential to supercharge global environmental efforts—but only if it’s applied wisely and equitably. The AI for Climate and Nature Grand Challenge is helping turn that potential into reality by:
- Giving environmental groups access to cutting-edge AI tools
- Funding early-stage ideas with clear pathways to impact
- Encouraging partnerships between tech and nature experts
- Supporting scalable, verifiable, and science-backed solutions
- Helping meet global climate targets faster and more affordably
The need for innovation in climate and nature solutions has never been greater. According to the Intergovernmental Panel on Climate Change (IPCC), global greenhouse gas emissions must be cut by nearly 50% by 2030 to keep warming below 1.5°C and avoid the worst impacts of climate change.
At the same time, the World Economic Forum estimates that over $44 trillion of economic value—more than half of global GDP—is moderately or highly dependent on nature and its services, underscoring the stakes for biodiversity loss.
The Power of AI in Climate Action
AI is increasingly recognized as a game-changer for environmental action. A 2023 report by Boston Consulting Group found that AI could help reduce global greenhouse gas emissions by up to 10%—the equivalent of 2.6 to 5.3 gigatons of CO₂e—by 2030, if deployed at scale across sectors like energy, transport, and agriculture.
Yet, a 2022 survey by Microsoft and Goldsmiths University revealed that only about 43% of environmental organizations felt “AI-ready”. They cited barriers such as lack of funding, technical expertise, and access to data.
Bridging the Gap: The Role of the Grand Challenge
The Bezos Earth Fund’s AI for Climate and Nature Grand Challenge directly addresses these barriers by providing critical funding and technical support to early-stage projects. By awarding $50,000 seed grants to 24 diverse teams in its first round, the initiative is lowering the entry threshold for nonprofits, universities, and startups to experiment with AI-driven solutions.
This approach is vital, as early-stage funding for climate tech remains scarce—just 6% of global venture capital in 2023 went to climate-related startups, according to PwC. And in 2024, VC deals for climate tech innovations further drop from 2023, per Pitchbook data.
The Grand Challenge also fosters collaboration between AI experts and environmental practitioners, a proven recipe for success. For example, projects like Carbon Sim (Yale) and Livestock GPT (Cornell) are bringing together machine learning specialists, ecologists, and farmers to co-design tools that are both scientifically robust and practical for real-world use. Such partnerships help ensure that solutions are not only technologically advanced but also grounded in local knowledge and needs.
AI in Action: Use Cases Beyond Carbon
Other grantees use AI to help the environment. They reduce food waste, create better plant-based proteins, and protect forests. Here are some of them and their innovations that attracted Bezos Fund’s investment:
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University of Leeds – Food Waste to Protein. This project uses AI to turn food waste into sustainable protein. The software finds the best microbes and fermentation methods.
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Wageningen University – OLiMPuS Platform. This open-source AI platform helps scientists find new plant and fermented proteins that feel and taste like milk and meat.
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BGCI-US – Forest Monitoring and Illegal Logging Detection. Using drones and AI, this project tracks over 500 endangered timber species and detects illegal logging in real time.
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AI-powered Forest Monitoring in the Amazon. Another grantee is working in the Amazon rainforest, combining satellite data with AI to detect changes in forest cover.
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AI for Coral Reef Health (University of Miami). This project uses underwater cameras and AI models to assess the health of coral reefs. It can detect bleaching and pollution damage early.
AI isn’t just about crunching data. It’s also a strong tool for early detection, quick decision-making, and scaling nature-positive solutions.
Scaling Up: What Happens Next?
The $50,000 planning grants are just Phase I. Later in 2025, up to 15 teams will move to Phase II, receiving $2 million each over two years to scale and implement their solutions. This will allow them to move beyond prototypes and test their tools in real-world settings.
The Bezos Earth Fund says it’s also building partnerships with AI labs, tech companies, and universities to support the technical side of the challenge. At the same time, it wants to train environmental groups on how to use and trust AI, ensuring that solutions are not only powerful but practical.
The projects supported by the Bezos Earth Fund are still in early stages, but they point toward a future where smart software can support a healthy planet. Whether it’s managing forests, cleaning up farms, or inventing new kinds of food, AI is now part of the climate and conservation toolbox.
The post Bezos Earth Fund’s AI for Climate and Nature Reveals First Grantees appeared first on Carbon Credits.
Most businesses that decide to act on their net-zero targets reach the same point of friction. Buying carbon credits has meant tracking down brokers, sitting through sales calls, and requesting a quote just to learn a price, sometimes with limited proof of what you are buying.
The earnings calls that quietly reframed climate from sustainability question to operating risk.
Three earnings calls in the last 18 months tell the story without any help from a press release.
Hershey, May 2024: cocoa price exposure compresses margin, and the company attributes part of the cost shock to West African weather. Olam, July 2024: coffee climate exposure quantified in the annual report. JBS, January 2025: supply chain climate disclosures expanded materially in response to investor pressure and regulatory expectation. None of these companies issued the announcement as climate news. They issued it as financial news. The climate-linked supply chain risk did not arrive with a sustainability framing; it arrived as a P&L line.
You are probably reading this article because you suspect the same thing is happening to your business. This piece walks through what is showing up on which earnings calls, how procurement and finance leaders are quantifying the exposure, and what serious corporates are doing about it before the regulator asks.
Where climate risk has already appeared in earnings
The pattern is consistent across resource-intensive sectors. A weather event compresses supply, the price spikes, the cost flows through the income statement, and the analyst on the call asks whether the event is anomalous or structural. Increasingly, the honest answer is the second one.
Cocoa is the cleanest example. The 2023 to 2024 West African harvest fell sharply on the back of erratic rainfall and disease. Cocoa futures more than tripled. Companies with concentrated West African sourcing absorbed the cost; companies with diversified sourcing absorbed less. The exposure was not climate as ESG topic. It was climate as cost of goods.
Coffee follows the same pattern. Brazilian and Vietnamese harvests have moved on weather more sharply across the last several seasons. Roasters with long-tenor supplier relationships and origin diversification have managed the volatility; roasters with spot-market exposure have not. Wheat, sugar, palm oil, beef: the same dynamic in different commodities, a pattern the IPCC AR6 Working Group II report projects will intensify across agricultural systems through mid-century.
What this means: climate risk is no longer a footnote in the 10-K. It is a line item the CFO has to explain on the call.
The three commodity exposures that hit margin first
For most companies with material Scope 3 exposure, three exposures dominate the near-term P&L risk.
- Concentrated single-origin sourcing in a climate-vulnerable region. If your tier-one supply for any material commodity sits in one geography, you have a concentration risk that climate amplifies. Diversification across origins is the obvious hedge, but it takes years to build and requires relationships you cannot acquire by tender.
- Supplier financial fragility under climate stress. Smallholder farmers, who supply a large share of the global cocoa, coffee, and palm oil market, do not carry the balance sheets to absorb yield shocks. When yields collapse, they exit. When they exit, your supply base shrinks, and the surviving suppliers raise prices. The risk is structural, not cyclical.
- Logistics and storage exposure to extreme weather. Hurricane disruptions to Gulf shipping, drought-driven Panama Canal restrictions, flooding in European inland waterways: each of these has moved input costs in the last three years, a pattern documented in Munich Re’s natural catastrophe data. The exposure shows up as a one-quarter event in the financial press but accumulates over time on the cost line.
TCFD and ISSB disclosure changes
The disclosure architecture has now caught up with the risk. The Task Force on Climate-related Financial Disclosures, whose recommendations are now embedded in the ISSB’s IFRS S2 climate standard, requires companies to disclose climate-related risks across physical and transition categories, with quantification where possible.
For physical risk specifically (the climate-linked supply chain risk you are reading about), the disclosure must address both acute exposures (extreme weather events) and chronic exposures (gradual changes in temperature, precipitation, and growing seasons). The disclosure must address the time horizon over which the risk is material, the parts of the value chain exposed, and the financial impact under different scenarios.
The CSRD imposes similar requirements under European law, with double materiality (both financial and impact materiality) embedded in the assessment. The practical effect: your auditors and your investor relations team now need a defensible answer to the climate-linked supply chain risk question, and the answer needs to be quantified.
What procurement and finance can do now
Three actions matter near-term.
Map your exposure. Most companies do not have a clear view of which tier-one and tier-two suppliers sit in which climate-vulnerable geographies. Without the map, you cannot quantify the risk, and without the quantification, you cannot disclose it credibly. The map is the foundation, and World Resources Institute climate risk research provides useful public tooling to start.
Diversify and deepen, in that order. Diversification across origins reduces concentration risk, but the deeper move is to invest in the resilience of the suppliers you already have. Regenerative practices, agroforestry, soil health interventions: these reduce yield volatility under climate stress and protect your input cost trajectory.
Embed the climate spend inside procurement, not outside it. Treating climate risk as a sustainability cost line subordinates it to the ESG budget. Treating it as a procurement and resilience investment puts it in the budget that matters, which is the cost-of-goods budget that the CFO defends quarterly.
Nature-based supply chain investments are the asset class designed for exactly this purpose. They sit inside the value chain, they reduce climate-linked supply risk, they generate verifiable Scope 3 reductions, and they produce the documentation an auditor and a regulator can both test.
If you are quantifying climate-linked supply chain risk in advance of the next earnings cycle or the next disclosure period, the carbon and sustainability experts at Carbon Credit Capital can help you map your exposure and structure a Dual-Value Model response that addresses reduction, resilience, and disclosure-readiness in a single program. Schedule a consultation.
More and more small and medium-sized businesses are hearing the same question from their larger customers: What is your carbon footprint? That question now travels down entire supply chains, and it arrives next to tender requirements, certification criteria, and rising customer expectations.
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