The Role of AI in the Green Transformation
Artificial intelligence (AI) is increasingly being recognized as a strategic tool for organizations aiming to navigate the green transformation. Sustainability consultants highlight that AI can streamline carbon footprint tracking and simplify carbon credit management, enabling businesses to align with evolving international and local regulatory frameworks without added complexity.
Beyond compliance, AI-driven sustainability tools help brand exporters differentiate themselves in an increasingly climate-conscious market. This is particularly relevant for exporters targeting high-value European segments, where environmental credentials can directly influence purchasing decisions and product appeal amid challenges posed by the US reciprocal tariff policy.
From operational efficiency to long-term brand elevation, AI is no longer just a support tool but also a catalyst for building climate-resilient business models.
Pressure Points Driving the Green Transition
At a recent seminar titled "AI Beyond Earth: Artificial Intelligence and the Mission to Build a Sustainable World," Poonperm Vardhanabindu, chief technical officer at Azolla Climate Co, discussed the factors driving Thailand's green transition. He highlighted the EU's Carbon Border Adjustment Mechanism (CBAM) and similar mechanisms used in Japan, South Korea, and Australia as second-tier pressure points for exporters.
Thailand's proposed Climate Change Act and the projected carbon trading mechanism set to be implemented by 2031 are also driving this shift. Additionally, global supply chains are exerting pressure, with tech giants like Apple and Microsoft pushing suppliers worldwide to comply with carbon neutrality goals.
New generations of buyers, such as Gen Z and millennials, are also driving green demand. Mr. Poonperm explained that CBAM functions much like a carbon tax on imported goods, meaning products from Thailand manufactured through carbon-intensive processes will incur additional costs when entering the EU market, prompting importers to favor more environmentally friendly sources.
Sustainability is often viewed as a cost, but in reality, "carbon is an asset." Carbon credits can become a source of corporate revenue if companies know how to quantify and monetize them.
The Need for AI in Emission Tracking
Emission-tracking platforms allow businesses to measure and report on carbon footprints, laying the groundwork for verified offsetting and revenue generation from carbon credits. Mr. Poonperm noted that under the new Climate Change Act, the number of local entities required to report carbon emissions could surge from 2,000 in 2011 to 700,000.
Adopting AI is no longer an option but a survival imperative for particular suppliers in the supply chain. AI can streamline carbon accounting, significantly easing manual workloads by automating data extraction, emissions forecasting, and risk modeling, making carbon management more efficient and scalable.
The technology is transforming forest carbon assessments, making them more scalable, cost-effective, and data-driven. For example, AI algorithms can estimate tree height from photographs of a sample of trees, which can then be converted into carbon storage estimates.
To support carbon documentation, organizations must establish clear accounting formats and carbon footprint reporting structures. High-quality documentation is essential for digital transformation and future AI-driven compliance systems. However, current regulations still require manual verification and random audits, limiting the full potential of automation in environmental inspections.
Carbon Credits as Strategic Assets
Chayut Sakunkoo, chief executive of Tact Social Consulting, emphasized that planned global and local regulations are forcing a change in global trade towards sustainability. If Thailand can adapt its carbon footprint systems and provide reliable data, it will boost competitiveness.
Carbon credits are becoming a strategic asset, an irreversible trend with the US advancing its carbon credit infrastructure. Companies must prepare robust carbon accounting systems, as better data reduces audit costs and supports carbon reduction strategies.
The EU and China are accelerating their green transitions, while the US seeks sustainable suppliers. Sustainability is now a business strategy. AI can summarize key points, draft messages, and map content to ensure Global Reporting Initiative (GRI) indicators align with a company's sustainability framework.
Foundational AI, combined with sustainability expertise, can help structure the disclosure of environmental, social, and governance (ESG) reports. Many SMEs have yet to prioritize sustainability due to data management challenges, lack of know-how, budget constraints, and high consulting fees.
SMEs rarely have a dedicated team to implement sustainability, often assigning this task to human resources or marketing teams. Companies can use AI to extract data from operational documents such as electricity bills and utility records. AI-powered tools automate data collection through features like auto-mapping and auto-fill, improving speed and accuracy.
For SMEs, technical support may be required to consolidate and manage data effectively, reducing the need for external consultants and lowering assessment-related costs.
Forests as an Asset Class
Panunya Charoensawadpong, head of business development at Varuna, highlighted that Thailand has 30-40 million rai of forest land with the potential to be transformed into carbon credit-generating assets. Varuna restores degraded forests and replants new ones, complementing the agricultural sector by reducing greenhouse gas emissions and adding export value through carbon credit certification.
Forests play a key role in carbon absorption and can be registered as carbon credit-generating assets, lifting ESG value across associated products. Organizations supporting forest plantation can use carbon credits obtained from grown trees to offset their own greenhouse gas emissions, turning products into "low-carbon products" and adding ESG value.
Under Thailand's Greenhouse Gas Management Organization, forest assets can be monetized by converting sequestration potential into tradeable credits. Technologies such as drones, satellite imagery, pixel-based analysis, and sensor data, combined with expert review and AI-based forest management systems, now support scalable, standardized forest oversight.
Image processing improves carbon estimation quickly and more accurately by up to 10-fold in terms of analysis. This innovation advances reforestation and carbon credit generation, with AI acting as the eyes and ears for carbon forestry.