We use the internet for everything from entertainment, communication, research, and it has completely transformed the way we work. Most people don’t realize that emissions from internet and cloud usage are quickly exceeding the amount of carbon from other industries. In 2023, cloud computing accounts for around 3% of all global emissions, which is more than the airline industry, shipping, and food processing.
Understanding the full extent of your environmental impact is critical to obtain corporate sustainability. This includes not only the emissions your company controls directly but more importantly, emissions one step—or several steps—removed within your supply chain. Most of the emissions are indirect and often outweigh the carbon footprint a company has. However, unlocking this data is a task easier said than done. This almost represents an impossible challenge, considering the quality of present supply chains and the high variability of both quality and availability of the data. But what if technology could turn the tide in our favor?
Enter AI, a tool that’s revolutionizing the way we approach Scope 3 emissions data collection.
The Complexity of Scope 3 Data Collection
At first glance, tasks like collecting information on Scope 3 emissions seem fairly simple: just get the info from your suppliers. If only it were that easy. In fact, procurement and sustainability managers face a labyrinth of problems:
Diverse Supply Chains: Many companies are now operating within an international marketplace as they source materials and services from a complex web of suppliers. If at all reported, each likely possesses a set of emissions reporting standards and practices unique to that link of the chain.
Data quality and consistency: Data quality varies with regard to its granularity, format, and definitions. It is extremely difficult to try and aggregate the existing data for analysis.
Lack of Transparency: It will be likely that suppliers do not want to share such data or do not have proper tracking mechanisms in place to share data on emissions.
Lack of Response: Suppliers may not even respond to surveys and view them as additional time-consuming bureaucracy.
AI as the Solution
Artificial intelligence (AI) has great potential to solve these challenges of Scope 3 data collection by breaking these barriers and removing data reporting discrepancies.
Automated Data Aggregation: From pooling in data from across sources, AI algorithms can aggregate information. It uses the parsing of supplier reports, industry databases, and can even make use of satellite information to approximate cases where emissions are not available directly.
Improved Data Analysis: After the collection of data, the use of AI might be applicable in the analysis of consistency, completion, and finally, accuracy of the data. The machine learning model will continue to improve and learn from the patterns in the data, hence identifying any anomaly or gap.
Predictive Insights: AI could offer the predictive insights that forecast the future trend of emissions on many factors. This will enable companies to take an informed decision on the kind of suppliers they would like to engage with or take up sustainability initiatives they would like to drive.
Real-World Applications: Now, only companies that are forward in their thinking will be able to improve the collection of data for Scope 3 emissions. Leading automotive manufacturers have rolled out AI-enabled tools to map the emissions of their supplier network and identify key areas of emissions reduction. This helps in targeting sustainability initiatives at suppliers.
In conclusion, the road toward sustainability is full of many challenges, but perhaps the most vexatious is Scope 3 emissions data collection. That has only recently changed, however, with the development of AI technology that offers a solution. Companies will thread through their supply chain complexities to bring about a granularity in their emission reporting, which was unthinkable earlier. This will not only meet the regulatory requirements to a higher level but will make a groundbreaking step into a more sustainable and ecologically responsible business.
FAQs
Q: Is AI technology accessible to all companies, regardless of size?
A: While the technology of AI could be very expensive at its adoption, the beginning of cloud-based AI solutions is offering it increasingly to small, medium, and big corporations. This, in essence, justifies the costs at the start because long-term benefits, basically increased efficiency and sustainability impacts, more often than not. Q: Can AI completely replace manual data collection efforts?
A: While it may hugely reduce the work of collecting data by hand, AI does still remain in need of the direction of human control to interpret its findings and derive strategies for deciding ways forward by the insights derived. So, embracing AI in pursuit of sustainability would mean that companies make a leap from how they relate their duty toward the environment. Advancements in technology increasingly present the potential for AI to transform our Scope 3 emissions data collection relation and change the way we experience the world.
DitchCarbon uses AI to collect thousands of primary company emission disclosures and calculates company-specific Scope 3 emissions.
Get in touch with us to see how we can do the same for your company!
Carbon Footprint
How to improve Scope 3 data accuracy for CSRD
For most businesses, the emissions that matter most sit outside their own walls. Scope 3 emissions, everything generated across your value chain, from the suppliers who make your inputs to the customers who use your products, typically make up the majority of a company’s total carbon footprint. Under the Corporate Sustainability Reporting Directive (CSRD), those value-chain emissions now have to be measured and disclosed with a rigour that spend-based estimates alone struggle to satisfy. This guide sets out how to improve Scope 3 data accuracy for CSRD: the calculation methods open to you, how to move from estimates to verified supplier data, and how to govern that data so it holds up to audit.
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Carbon Footprint
How community stewardship makes carbon credits durable
A carbon credit is a commitment that extends well into the future. The tonne of CO₂ compensated for today from a nature-based carbon project must remain out of the atmosphere for good, which means the forest behind the credit has to remain standing long after the transaction is complete. For any buyer, this raises a defining question: What ensures that the forest endures?
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Carbon Footprint
Why Conventional Carbon Offsets Are Losing Boardroom Credibility
What replaced the cheap REDD credit on the boardroom slide deck, and why procurement is leading the rewrite.
Three years ago, a corporate slide showing a portfolio of cheap REDD+ credits could carry a board meeting. The number was big, the price was low, and the press release wrote itself. Today, that same slide gets sent back with questions. The questions are uncomfortable, the answers are unclear, and your general counsel is suddenly in the room.
Conventional carbon offsets are not dead. The voluntary carbon market retired 202 million tonnes in 2025, and the Morgan Stanley Institute for Sustainable Investing survey published in January 2026 confirmed that interest from corporate buyers remains substantial. What changed is the credibility threshold. The integrity floor has risen, the disclosure scrutiny has tightened, and the buyer profile has shifted. This article tracks what changed, what sophisticated buyers now ask before signing, and what serious corporates are putting on the board slide instead.
What boards used to buy, and why it stopped working
The 2020 to 2022 model was simple: buy a large tranche of avoidance credits at low single-digit prices, retire them against the company footprint, announce the carbon-neutral claim, and move on. Most of those credits came from REDD+ projects, renewable energy installations in countries where the renewable energy was already economic, or methane projects with thin documentation.
Several things broke that model. Academic research published in 2023, including a widely cited Science paper, found that the majority of REDD+ credits issued under the most common methodologies did not represent additional reductions when tested against rigorous counterfactuals. The Voluntary Carbon Markets Integrity Initiative published its Claims Code of Practice, which sets requirements for what companies can credibly claim from credit use. The European Union finalised its Green Claims Directive, restricting how companies can describe products as climate-neutral. France’s Décret 2022-539 already restricts carbon neutrality advertising. California’s AB 1305 imposes disclosure requirements on any company making net-zero or carbon-neutral claims while doing business in the state.
The collective effect: the cheap credit no longer buys the announcement, and the announcement now carries litigation risk.
The integrity reset: ICVCM, VCMI, and what changed
The Integrity Council for the Voluntary Carbon Market published the Core Carbon Principles in 2023 and began assessing methodologies against them in 2024. The first methodologies received the CCP label later that year. The point of the label is to give corporate buyers a defensible quality screen they can cite in disclosure.
The Voluntary Carbon Markets Integrity Initiative complements this on the demand side. Its Claims Code of Practice defines what a buyer can say (Silver, Gold, or Platinum claims, with associated requirements) based on the quality of credits used and the underlying decarbonisation strategy. Together, CCP and VCMI build a quality stack: CCP on the supply, VCMI on the claim, with the science-based target sitting underneath both.
The reset is not a ban on offsets. It is a ratchet. Credits that meet the new bar continue to clear; credits that do not, do not. The Morgan Stanley survey found that 61% of current buyers like the CCP label concept but that supply of labelled credits remains limited. That supply constraint is now visible in pricing.
What sophisticated buyers ask before they sign
The questions on the procurement scorecard have changed. A 2022 buyer might have asked about price, vintage, and project type. A 2026 buyer asks five different questions before any of those.
- What does the counterfactual look like, and who validated it.
- What is the permanence regime, and what is the buffer pool exposure.
- What is the leakage risk, and how is it mitigated.
- What rating has the project received from the independent ratings agencies (Sylvera, BeZero, Calyx Global), and what was the rationale.
- What is the documentation discipline that survives an audit four years from now when the procurement team that signed the contract has moved on.
If the vendor cannot answer those five questions on a first call, the conversation ends. Conversely, if the vendor can answer them with documented specificity, the conversation often expands beyond a single transaction toward a multi-year engagement.
Where this leaves your near-term commitments
You probably have near-term commitments that pre-date the integrity reset. Public targets to be carbon neutral by 2025 or 2030. Product-level claims that ran in last year’s marketing. Disclosed reduction trajectories that assumed continued access to cheap credits.
You have three workable paths. The first is to re-baseline your strategy, replacing the most exposed credits with higher-quality alternatives and adjusting the public language to match what you can defend. The second is to shift the underlying spend from offsetting outside your value chain to investing inside your value chain, where reductions count against Scope 3 directly and the audit trail is cleaner. The third is to keep the strategy and absorb the risk, which is increasingly the most expensive option once you price in litigation, restatement, and reputational exposure.
Most serious buyers are choosing the second path. It moves the carbon spend from a compliance cost to a procurement and resilience investment, and it removes the central failure point of the legacy model: the disconnect between where the emissions occurred and where the reductions sat. Nature-based supply chain investments, structured under the GHG Protocol Land Sector and Removals Standard and aligned to the SBTi FLAG Guidance, are the asset class that fits this brief. They generate inventory-grade reductions, they produce audit-grade documentation, and they survive the new claim restrictions because the carbon math sits inside the value chain that the disclosure already covers.
If you are reassessing a carbon strategy under the new integrity bar, or rebuilding a board narrative that has to survive a more skeptical audience, the carbon and sustainability experts at Carbon Credit Capital can help. The Dual-Value Model gives you a defensible alternative to legacy offset purchases, with the documentation and operational integration that survives the procurement scorecard and the audit. Schedule a consultation.
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