Energy Transition, AI, and Geopolitics

The Digital Dust Bowl: The Brutal Physical Reality of the AI Boom

We are constantly told that the future of artificial intelligence exists in a weightless, ethereal “cloud.” In reality, it lives in gravel, steel, and concrete. While tech giants chase virtual breakthroughs, they are quietly sparking the most resource-intensive industrial land grab of the post-war era. The critical bottleneck of the AI era is not chip […]

The Circular Solution to AI’s Exploding Power Demands

The Infrastructure Bottleneck The race for artificial intelligence dominance is no longer just about software sophistication or chip architecture; it is a race for raw electricity. As massive GPU clusters strain regional utilities, data center operators are hunting for rapid, scalable power solutions. My latest piece for Forbes looks at an elegant answer hiding in […]

The Electron’s Interstate: Connecting Global AI Demand to Regional Grid Realities

The collision between artificial intelligence and global power infrastructure is no longer a forward-looking prediction—it is the defining macroeconomic reality of our time. When we treat data centers as ephemeral clouds rather than physical, electricity-devouring factories, we miscalculate the true geopolitical tax of the digital age. As explored in my recent column for Forbes (syndicated […]

The $1 Trillion AI Bottleneck: Why the Grid is the New National Security Frontline

In my latest reporting for Forbes and Yahoo Finance, I explored a concept I call the “Geopolitical Tax.” It is the hidden cost of our aging infrastructure, and it’s about to collide head-on with the AI revolution. America is currently racing to deploy $1 trillion in AI-driven capital over the next decade. But there is […]

  • Recipient of the ASBPE Gold Award for Outstanding Web Commentary and the MIN Online “Most Intriguing People in Media” honor. Senior Contributor at Forbes with nearly 30 years of energy and climate reporting experience.