In six months, over $13 billion flowed into optical technologies — not as a bet on innovation, but as a response to a growing constraint. As AI systems scale beyond the limits of copper, the real bottleneck is no longer compute, but the ability to move data. The race is shifting from GPUs to the optical supply chain that connects them.
Infrastructure
Physical and digital networks shaping connectivity, productivity and the foundations of modern economic activity.
The semiconductor industry is not a competitive landscape but a hierarchy of control. From design to fabrication to acceleration, value concentrates in the layers that define, constrain and allocate compute across the global economy.
Berkshire Hathaway is often seen as a collection of companies. In reality, it operates as a system of infrastructure assets — railroads, energy grids and networks that form the invisible backbone of the economy and enable long-term capital compounding.
A quiet transition is underway at Berkshire Hathaway. As Greg Abel steps forward, capital is no longer just allocated — it is being structured into systems. Infrastructure, energy and networks are becoming the true drivers of long-term economic power.
SCINTIL Photonics has unveiled an integrated DWDM eLSFP module with eight lasers on a single silicon photonics chip. The breakthrough could reduce optical complexity and energy consumption, enabling scalable high-bandwidth connectivity for next-generation AI data center networks.
Artificial intelligence appears weightless, yet it runs on energy-hungry machines nearing physical limits. As moving data becomes costlier than computing it, engineers are turning from electrons to photons. This shift toward light-based hardware may determine the scalability, economics, and geopolitics of AI.
