Organisation: Warnborough College
Position: Doctoral Candidate
I am an impact-driven category designer and Co Founder at Audience Haus. I specialize in creating market categories with a focus on social impact, community building, and planetary well-being. Over the years, I’ve had the privilege of working with CXOs, business leaders, and stakeholders across industries like financial services, mobile telephony, software, and e-learning. I’ve been able to achieve multi-million-dollar sales targets, rapidly grow sales pipelines, and create recurring revenue streams.
I introduced the 4th element of category creation – Impact Design, which ensures that businesses are designed with societal, environmental, and economic impacts in mind. I’ve also had a hand in launching six blockchain cryptocurrency startups, advising on the world’s first complete voice-of-the-people platform using blockchain, and securing USD 300,000 seed funding for a plant-based startup.
I also created Sri Lanka’s first live-streaming video podcast series, Pandemic Punditry, which featured over 100 global thought leaders, entrepreneurs, and VCs. Over the years, I’ve led several initiatives that have resulted in new business units and increased revenue, including creating a 5X lead generation increase at Hatch during the COVID-19 pandemic and securing contracts with top brands like Hutch and Veracity AI.
As a co-author with Philip Kotler and Christian Sarkar, I’ve contributed to building a movement of movements, and as a core member of the Wicked7 Project, I’ve been working on creating a roadmap to solve the seven wicked problems of the world.
My passion lies in helping entrepreneurs design businesses that don’t just generate profits but also make a positive impact on the world—and I’m dedicated to helping others build businesses that align purpose with profit.
Rebuilding the Learning Ecosystem: From Isolated Achievement to Collective Intelligence through Human – AI Collaboration
Presentation
The way we learn is broken. What once began as a communal act, rooted in mentorship, oral tradition, and survival through shared knowledge, has become fragmented by systems designed for competition, not connection.
Education today mirrors the values of the industrial and capitalist world it was built to serve. Students are measured, ranked, and separated. Knowledge has become a zero-sum game, where success for one implies loss for another. In a world increasingly shaped by complexity and interdependence, this model no longer serves us. Today’s learners and future leaders are also future consumers. And they are increasingly demanding regenerative practices and future-forward thinking from the businesses they support. Education must reflect this shift, not through competitive isolation, but through shared knowledge and systems thinking.
This paper proposes a return to collective intelligence as the foundation for learning in the 21st century. Not as nostalgia, but as necessity. As we face global challenges like climate change, inequality, and health crises, we need more than individual expertise. We need collaborative problem-solving, cross-boundary insight, and learning ecosystems that reward cooperation over competition. The shift is not just pedagogical. It is philosophical.
Artificial Intelligence offers a bridge between the old and the necessary new. Contrary to fears that AI will depersonalize education, tools like ChatGPT, Claude, and Perplexity and others show us what becomes possible when collective knowledge is made accessible in real time. However, if AI is left unchecked without proper governance, we will continue to replicate extraction-based business models. This is our opportunity to create a different regenerative future in collaboration with AI, but we need to take action now!
The opportunity is not to scale individual achievement faster, but to scaffold shared meaning across different cultures. If we choose wisely, we can move from isolated merit to distributed intelligence. We can stop competing to know and start collaborating to understand.
Keywords: Collective learning, Artificial Intelligence, Education reform, Collaborative intelligence, Learning ecosystems, Collective Conscious
Reconstruyendo el Ecosistema de Aprendizaje: Del Logro Aislado a la Inteligencia Colectiva mediante la Colaboración Humano-IA
Nuestra forma de aprender está rota. Lo que comenzó como un acto comunitario, basado en la mentoría, la tradición oral y la supervivencia a través del conocimiento compartido, se ha fragmentado por sistemas diseñados para la competencia, no para la conexión.
La educación actual refleja los valores del mundo industrial y capitalista para el que fue diseñada. Los estudiantes son evaluados, clasificados y separados. El conocimiento se ha convertido en un juego de suma cero, donde el éxito para uno implica la pérdida para otro. En un mundo cada vez más marcado por la complejidad y la interdependencia, este modelo ya no nos sirve. Los estudiantes de hoy y los futuros líderes también son futuros consumidores. Y exigen cada vez más prácticas regenerativas y visión de futuro a las empresas a las que apoyan. La educación debe reflejar este cambio, no a través del aislamiento competitivo, sino a través del conocimiento compartido y el pensamiento sistémico.
Este artículo propone un retorno a la inteligencia colectiva como base del aprendizaje en el siglo XXI. No como nostalgia, sino como necesidad. Ante desafíos globales como el cambio climático, la desigualdad y las crisis sanitarias, necesitamos más que la experiencia individual. Necesitamos resolución colaborativa de problemas, perspectivas transfronterizas y ecosistemas de aprendizaje que premien la cooperación por encima de la competencia. El cambio no es solo pedagógico, sino filosófico.
La inteligencia artificial ofrece un puente entre lo antiguo y lo nuevo, necesario. Contrariamente a los temores de que la IA despersonalice la educación, herramientas como ChatGPT, Claude, Perplexity y otras nos muestran lo que se hace posible cuando el conocimiento colectivo se hace accesible en tiempo real. Sin embargo, si la IA no se controla y no se gestiona adecuadamente, seguiremos replicando modelos de negocio basados en la extracción. Esta es nuestra oportunidad de crear un futuro regenerativo diferente en colaboración con la IA, ¡pero debemos actuar ya!
La oportunidad no reside en escalar los logros individuales más rápido, sino en construir un significado compartido entre diferentes culturas. Si elegimos con sabiduría, podemos pasar del mérito aislado a la inteligencia distribuida. Podemos dejar de competir por saber y empezar a colaborar para comprender.