What you'll learn in this episode
In this conversation, Amir Elion, CEO of Think Big Leaders and former AWS Innovation Programs lead in the Nordics, joins the Sustainability Transformations podcast to explore how innovation, AI, and sustainability can work together to build a better future. Based in Stockholm, Sweden, Amir shares how the Global Green Action Day initiative bridges these disciplines through structured collaboration and real action. These are topics Amir regularly speaks about at conferences and corporate events.
From innovation expert to sustainability advocate
Amir shares how moving to Stockholm five years ago transformed his understanding of sustainability. Coming from a career focused on innovation and technology, he knew little about sustainability until he experienced Nordic culture firsthand - where sustainability permeates public sector, business, and daily life through real action rather than just talk. He took university courses, worked on projects combining AI with waste management and circular economy, and ultimately co-created Global Green Action Day to connect innovation, sustainability, regulation, and AI. This journey from innovation to sustainability impact is a core part of Amir's keynote presentations.
Global Green Action Day - from learning to action
The conversation provides a detailed overview of Global Green Action Day - an initiative Amir co-created with Fernanda Torres and Evelina Lindqvist. The program addresses the critical gap between strategy on paper and real implementation through a two-month online training program covering sustainability, innovation methodology, AI, regulation, and circular economy, followed by hackathon events in four European cities. Organizations post real challenges, diverse teams propose solutions, and the challenge owners select ideas to implement. One example: a Swedish public organization seeking ideas to promote sustainable clothing consumption (five new items per year).
Reframing sustainability as a data problem
Amir offers a practical lens for applying AI to sustainability: reframe it as a data problem. A Finnish waste management company used data on business type, season, location, and weather to predict when customers would need extra waste removal - reducing fuel consumption and rush operations. Building energy optimization through IoT data achieves 26% improvement with minimal cost. The principle: identify the key data that allows you to impact operations and behaviors, then apply AI to drive sustainable decisions at scale.
Responsible AI and the bias amplification risk
The conversation tackles the flip side of AI for sustainability - energy and water consumption of AI systems, but more importantly, the amplification of social biases. When Amir asked AI for an image of 20 successful executives, only one was a woman and most were white men. As organizations delegate more decisions about recruiting, promotion, and resource allocation to AI, they must actively prevent bias amplification. The advice: educate teams about responsible AI, maintain transparency, and invite diverse perspectives to challenge AI outputs.
Book Amir as a speaker
Amir regularly delivers keynotes and workshops on the topics covered in this episode - innovation with AI for sustainability, open innovation methodology, responsible AI adoption, and connecting business, technology, and environmental impact. He speaks at conferences, corporate leadership offsites, and industry events across Sweden, the Nordics, and Europe. Learn more about Amir's speaking topics and availability.