🎙️Exclusive Interview: Jeremy Tamanini, Researcher on Applied AI for Sustainability.
- M Abti
- 1 day ago
- 6 min read
Exclusive interview with Jeremy Tamanini, Founder of Dual Citizen LLC - Researcher Applied AI for Sustainability - Creator of the Global Green Economy Index™ (GGEI™).
🗣️CORE CONCEPT: The Artificial Intelligence can certainly be considered as a driver for the Sustainability Transition provided that it is based on a sustainable roadmap..
BIOGRAPHY
Jeremy Tamanini has been acting as a Researcher and Consultant for over a decade, leading data-driven projects in close cooperation with public, private and intergovernmental partners.
In 2010, he designed and launched through his consultancy, Dual Citizen LLC, the Global Green Economy Index – GGEI™ – a pioneering measure tool of country-level sustainable performance. The GGEI™ has been used by various stakeholders to create custom-tailored green performing frameworks, generating over 250,000 downloads, being used in more than one hundred governmental departments, institutions and private companies. More than one hundred media and academic papers referred to this unprecedented economic framework.
More recently, Jeremy Tamanini has been focusing on research and project management addressed to develop AI solutions for Sustainability. In particular, his mission is to identify touch points applied to integrated Artificial Intelligence aimed at accelerating sustainable goals, like reducing GHG Protocol scope 1 (Direct Emissions), scope 2 (Indirect Energy Emissions) and scope 3 (Value Chain Emissions), streamlining carbon reporting, advancing Circularity, and Nature Protection.
In the meanwhile, he was appointed member of the P7100 Working Group at the Institute of Electrical and Electronic Engineers – IEEE – building up one of the first global standards able to work out AI systems environmental impacts.
MONACŒCOART® was pleased to collect valuable feedback by Jeremy Tamanini within an exclusive interview, where he shared his vision on key points of his topical research study.
ℹ️ Dual Citizen LLC: Official Website
🔸Questions
🗣️ In your recent paper "Applied AI for Sustainability: Opportunities for Integration", you examine how and to what extent AI can actually drive the Transition to Sustainability. Can you tell us three key elements you have detected?
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🗣️What an AI Elephant is doing in a room? And what impacts is it generating?
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🗣️From your perspective as skilled researcher and consultant in the global AI Sustainability, what lesson can we learn and what to expect from the near future?
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INTERVIEW
MONACŒCOART®: Artificial Intelligence (AI) acts as a powerful catalyst for the Sustainability Transition by optimizing resource efficiency, accelerating scientific discovery, and enabling precise monitoring of environmental goals. Experts suggest AI can facilitate a shift toward a greener economy, though its own environmental footprint must be handled with care. Meanwhile, it presents critical challenges like the reliability of sources (fact checking), the security of sensitive data (algorithmic bias, ethics risks), and energy efficiency (high energy consumption of electronic equipment). In your recent paper "Applied AI for Sustainability: Opportunities for Integration", you examine how and to what extent AI can actually drive the Transition to Sustainability. Can you tell us three key elements you have detected?
🗣️ Jeremy Tamanini: As IHO Artificial intelligence acts both as an environmental consumer and a climate solution. Since the establishment of ChatGPT, the rapid proliferation of LLMs (Large Language Models) has been creating heavy demands on digital infrastructure. But AI technologies also present new ways to reduce WEEE (Waste from Electrical and Electronic Equipment) waste, optimise resource usage, and build climate resilience. Since the Paris Climate Agreement in 2015, the proliferation of ESG reporting frameworks has created a complex data challenge for organisations increasing the risk of creating incomplete and inconsistent datasets.
In my paper, I focused on three critical areas, notably: 1. how AI might contribute to significant reductions in direct and indirect carbon footprints; 2. how AI can improve resource circularity into core business functions such as product development and waste management; 3. how AI can protect nature and stimulate green Research and Development (R&D) initiatives.
Tracking and reporting Scope 1 Direct Emissions, Scope 2 Indirect Emissions and Scope 3 Indirect Value Chain Emissions, according to the international GHG (greenhouse gas) Protocol, has long challenged businesses due to the difficulty of accurately measuring, attributing and accounting diverse sources across multiple facilities or large fleets, as a result of their vastness and lack of direct control (with special regard to Scope 3). Artificial Intelligence, integrated with Internet of Things (IoT), is able to generate real-time data on pollutant emissions while predicting trends, inefficiencies and equipment leaks thanks to machine learning algorithms. Its integration and in-depth analysis pushes decision makers to find the best solutions aimed at reducing corporate electricity consumption, and energy waste, through environmentally friendly procurement to significantly reduce their reliance on carbon-intensive sources. Moreover, AI can make the difference optimising supply chain logistics (e.g.: route optimisation, warehouse efficiency, etc.), while reducing waste generation and allowing a more sustainable outcome to comply with American and European Union business and industrial standards.
Applied AI tools transform sustainable product development by automating lifecycle analyses. These solutions allow design teams to measure environmental footprints, optimise resource use, and markedly cut energy costs, highlighting circularity.
AI is also redesigning WEEE waste management through three technological pillars: computer vision for automated material sorting, IoT in smart bins to optimise collection routes, and machine learning to predict waste volumes and reduce production inefficiencies.
Lastly, AI solutions, such as computer vision and acoustic processing, are changing Earth observation by automatically analysing massive volumes of satellite, drone, and camera trap data. This technology enables rapid species monitoring, climate impact assessment, and the detection of illegal human activities without invasive presence.
Besides that, Applied AI accelerates sustainable R&D by streamlining scientific discovery, process optimisation, and impact assessment. It rapidly elaborates big data, uses machine learning to simulate complex experiments without physical testing, and forecasts the environmental scalability of new technologies.
Figure 1: In addition to leveraging AI to trend forecast from social media, sales history and other open source or internal data, the Omnithink AI platform can integrate sustainability criteria linked to materials and resource efficiency to product development teams © Dual Citizen LLC.
Figure 2: A June 2025 study by McKinsey & Co. “The Next Innovation Revolution - powered by AI” offers a concrete framework for envisioning how AI can accelerate innovation. © Dual Citizen LLC
MONACŒCOART®: What an AI Elephant is doing in a room? And what impacts is it generating?
🗣️ Jeremy Tamanini: The growing energy consumption of artificial intelligence threatens global climate goals, with estimates indicating energy needs for AI comparable to those in the Netherlands by 2027 (Source: 2023 paper by Dutch analyst Alex de Vries used AI hardware and software specs published by Nvidia on their graphics processing units - GPUs). Data centres, in addition to electricity, require large amounts of water for cooling, highlighting a significant ecological impact that requires greater transparency from technology companies.
This impactful trend, studied since the 2020, is encouraging Governments to introduce self-regulation while inviting AI designers to introduce new features in the elaboration of algorithms capable of examining the very impact of AI technology on the natural environment through cost and benefit evaluations.
The "AI elephant in the room" metaphor describes the glaring, often uncomfortable truths about artificial intelligence that everyone now knows. The energy and resource intensity of AI systems is no secret!
MONACŒCOART®: From your perspective as skilled researcher and consultant in the global AI Sustainability, what lesson can we learn and what to expect from the near future?
🗣️ Jeremy Tamanini: My personal research and experience led me to conclude that applied AI integration must be driven by human insight to effectively manage organisational context, data nuances, and long-term sustainability goals.
As for the near future, I consider essential for companies and leading actors to re-evaluate their sustainability strategy by setting defined targets, towards enhancing operational efficiency through high-quality evidence-based reporting. As a matter of fact, emerging applied AI solutions present unprecedented opportunities. However, AI adoption must carefully balance justified ethical and environmental concerns with the strategic risk of falling behind. Inaction during technological shifts historically erodes competitive advantage. To succeed, teams must learn from mistakes, map out touch points, and cooperatively build up a structured blueprint. ***
✒️ Maurice Abbati
Strategic Communication Specialist, Editor in Chief, Journalist, Executive.
Lecturer and Author in English in the field of Environmental Communication to foster Circular and Blue Economy
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