The Power of Frugal Innovation: Doing More with Less - On Frugal AI, inclusive technology, and designing for real-world constraints

What if the future of innovation is not about building bigger systems, but about creating solutions that deliver more value with fewer resources?In this episode of Matters of Consequence, Michael Hanf speaks with Serish Gandikota, an internationally recognised expert in frugal innovation and Frugal AI. Serish is the co-founder of InnoFrugal and co-leads the Frugal AI Hub at Cambridge Judge Business School. His work focuses on making innovation more inclusive, efficient, affordable, and sustainable.As artificial intelligence develops at extraordinary speed, the gap between those who can access advanced technologies and those who cannot is also growing. Much of the AI debate focuses on larger models, greater computing power, and faster performance. Frugal AI asks a different question: does the system solve the right problem with the least possible waste and the greatest practical value?Serish introduces five principles of Frugal AI: compute efficiency, climate-aware design, cultural and linguistic inclusion, affordability, and local relevance. He explains why technology must be designed around the realities in which people live, including limited connectivity, infrastructure, budgets, literacy, and access to devices.The conversation draws on examples from India, Africa, and Europe. These include voice-based AI for people who cannot read, mobile-first tools for low-connectivity environments, and solutions designed for municipalities and public institutions with limited resources. The central idea is simple: technology should adapt to its context, rather than expecting people and communities to adapt to the technology.Michael and Serish also discuss the hidden costs of AI. Organisations often focus on the initial investment while underestimating long-term energy use, maintenance, infrastructure, and operational costs. Serish explains why total cost of ownership must become part of responsible AI planning and how work at Cambridge is helping organisations evaluate these trade-offs.A central theme is mindset. Frugal innovation requires moving beyond one-size-fits-all solutions and working closely with local communities, governments, startups, and other partners. Lasting impact does not come from launching a product alone. It depends on trust, adoption, local relevance, and the ability to scale what works.The episode also introduces the Frugal AI Hub and its Adoption Labs, which connect local challenges with startups using Frugal AI methods to develop practical and scalable solutions.Why listen?Understand what Frugal AI is and why it matters.Explore the global innovation gap and the importance of local context.Learn how compute efficiency, affordability, and climate-aware design shape responsible AI.Discover practical examples from India, Africa, and Europe.Understand the full financial, energy, and operational costs of AI systems.Hear how policy sandboxes, inclusive procurement, and local partnerships can support adoption.Whether you work in AI, innovation, sustainability, policy, technology, or public-sector transformation, this episode offers a practical alternative to the assumption that progress must always mean greater scale and complexity.Originally released as an episode of The Future of Sustainability, Season 1.Keywords: Serish Gandikota, frugal innovation, Frugal AI, InnoFrugal, Frugal AI Hub, Cambridge Judge Business School, artificial intelligence, responsible AI, inclusive innovation, compute efficiency, climate-aware AI, affordable technology, local innovation, digital inclusion, AI sustainability, total cost of ownership, low-connectivity technology, voice-based AI, Adoption Labs, policy sandboxes, inclusive procurement, sustainable technology, emerging markets, Matters of Consequence podcast Hosted on Acast. See acast.com/privacy for more information.