In this episode, host Philippa Wraithmell speaks with Edward Fitzpatrick, CEO of Conflow Power and creator of iLamp. Edward explains how smart, solar-powered streetlights can become off-grid AI infrastructure nodes. The conversation explores decentralized energy, edge computing, AI data centres, and how this technology could power autonomous universities and inspire the next generation of engineers.
Key Themes in This Episode
Decentralized renewable energy
AI infrastructure and edge computing
Smart cities and resilient grids
Off-grid data centres (“AI Factories”)
Sustainable streetlight innovation
AI in education and universities
Ethical AI and digital sovereignty
Why Listen to This Episode?
This episode explores how energy and artificial intelligence are deeply connected. It explains why traditional power grids may struggle with AI growth and how decentralized renewable infrastructure could offer a solution. You will hear how smart streetlights can generate revenue, improve safety, power local AI systems, and even support resilient learning campuses. It is practical, future-focused, and thought-provoking.
Who This Episode Is For?
This episode is for policymakers, city leaders, sustainability teams, EdTech founders, AI developers, and education leaders interested in renewable energy and digital infrastructure. It is especially relevant for universities, schools, and governments exploring AI readiness, decentralized power systems, smart cities, and future-focused engineering education.
Full Episode Description
As artificial intelligence grows, so does its energy demand. In this episode, Edward Fitzpatrick explains why decentralized power may be the key to supporting the AI revolution.
Edward, CEO of Conflow Power, introduces the iLamp — a smart, solar-powered streetlight that works off-grid. Instead of being a simple lighting device, the iLamp acts as a multi-functional infrastructure node. It can host AI cameras, Wi-Fi, sensors, GPUs, and edge computing devices. Edward compares this shift to the evolution from a basic wristwatch to a smartphone.
The technology uses a circular, self-cleaning solar design and advanced battery storage. This allows each iLamp to generate excess energy. That surplus power can run AI computing units, such as NVIDIA Jetson devices, directly on the street. When multiplied across thousands of units, these become decentralized “AI Factories” — distributed data centres powered entirely by renewable energy.
Edward argues that large, centralised hyperscale data centres may struggle to keep up with future AI demand. Instead, he believes smaller, distributed computing nodes can reduce latency, improve security, and relieve pressure on traditional power grids.
The conversation then moves into education. Edward shares his vision for autonomous AI university campuses powered by iLamp infrastructure. In areas with unreliable grids or limited connectivity, these systems could provide stable power and local computing. Students could access AI tools even during outages or natural disasters.
Beyond infrastructure, Edward highlights the educational opportunity. Schools and universities can use this technology to teach “live physics” and real-world coding. Through platforms like AI Factories, students can develop applications for smart infrastructure and even add services to an iLamp app store.
The episode also explores ethics, safety, and digital sovereignty. Edward emphasizes principles-based AI design and community access to technology, rather than centralized control.
At its core, this episode is about resilience. As AI reshapes society, energy, education, and infrastructure must evolve together.
Philippa Wraithmell is an education and digital-learning strategist based in the UAE. As the founder of EdRuption and Digital Bridge, she leads work on digital wellbeing, innovation, and evidence-informed practice. As host of The EdTech Podcast, Philippa explores how technology can elevate teaching, learning, and equitable education across the globe.
Edward Fitzpatrick is CEO of Conflow Power and creator of the iLamp smart streetlight system. A former investment banker and serial entrepreneur, he has founded multiple private equity firms and funded large infrastructure projects globally. Edward now focuses on decentralized renewable energy, AI-powered infrastructure, and innovative education models that combine sustainability with advanced computing.
#314
Decentralized Power: Fueling the AI Revolution
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Episode Overview
In this episode, host Philippa Wraithmell speaks with Edward Fitzpatrick, CEO of Conflow Power and creator of iLamp. Edward explains how smart, solar-powered streetlights can become off-grid AI infrastructure nodes. The conversation explores decentralized energy, edge computing, AI data centres, and how this technology could power autonomous universities and inspire the next generation of engineers.
Key Themes in This Episode
Why Listen to This Episode?
This episode explores how energy and artificial intelligence are deeply connected. It explains why traditional power grids may struggle with AI growth and how decentralized renewable infrastructure could offer a solution. You will hear how smart streetlights can generate revenue, improve safety, power local AI systems, and even support resilient learning campuses. It is practical, future-focused, and thought-provoking.
Who This Episode Is For?
This episode is for policymakers, city leaders, sustainability teams, EdTech founders, AI developers, and education leaders interested in renewable energy and digital infrastructure. It is especially relevant for universities, schools, and governments exploring AI readiness, decentralized power systems, smart cities, and future-focused engineering education.
Full Episode Description
As artificial intelligence grows, so does its energy demand. In this episode, Edward Fitzpatrick explains why decentralized power may be the key to supporting the AI revolution.
Edward, CEO of Conflow Power, introduces the iLamp — a smart, solar-powered streetlight that works off-grid. Instead of being a simple lighting device, the iLamp acts as a multi-functional infrastructure node. It can host AI cameras, Wi-Fi, sensors, GPUs, and edge computing devices. Edward compares this shift to the evolution from a basic wristwatch to a smartphone.
The technology uses a circular, self-cleaning solar design and advanced battery storage. This allows each iLamp to generate excess energy. That surplus power can run AI computing units, such as NVIDIA Jetson devices, directly on the street. When multiplied across thousands of units, these become decentralized “AI Factories” — distributed data centres powered entirely by renewable energy.
Edward argues that large, centralised hyperscale data centres may struggle to keep up with future AI demand. Instead, he believes smaller, distributed computing nodes can reduce latency, improve security, and relieve pressure on traditional power grids.
The conversation then moves into education. Edward shares his vision for autonomous AI university campuses powered by iLamp infrastructure. In areas with unreliable grids or limited connectivity, these systems could provide stable power and local computing. Students could access AI tools even during outages or natural disasters.
Beyond infrastructure, Edward highlights the educational opportunity. Schools and universities can use this technology to teach “live physics” and real-world coding. Through platforms like AI Factories, students can develop applications for smart infrastructure and even add services to an iLamp app store.
The episode also explores ethics, safety, and digital sovereignty. Edward emphasizes principles-based AI design and community access to technology, rather than centralized control.
At its core, this episode is about resilience. As AI reshapes society, energy, education, and infrastructure must evolve together.
You can learn more about these projects at ilamp.com, conflowpower.com, and aifactories.com
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