Artificial intelligence is transforming datacentres from collections of processors into vast communication systems. As copper approaches its practical limits, integrated photonics may become the next infrastructure layer enabling the continued scaling of AI.
Semiconductors
Semiconductors form the foundation of modern technology, shaping industrial capacity, supply chains and geopolitical competition.
Artificial intelligence may not be running out of ideas, but it may be approaching the practical limits of electrons. As communication becomes increasingly expensive, the future of computing may depend less on processing information and more on moving it efficiently.
Artificial intelligence is increasingly associated with massive data centres and cloud infrastructure. Yet a new generation of AI chips may begin moving intelligence closer to where people actually live, work and make decisions. The rise of the AI PC could offer an early glimpse of a more distributed future for computing.
Europe’s new technology strategy is not about decoupling from the United States. It is about becoming indispensable within the infrastructures, supply chains and innovation ecosystems that underpin the digital economy, reshaping the future of transatlantic technological cooperation and resilience.
Nvidia’s investments in photonics highlight a growing shift within AI infrastructure. The question is no longer simply how to build faster processors, but how to connect, package and integrate increasingly complex systems. The next bottleneck may emerge not inside the chip, but in everything surrounding it.
Nvidia is pouring billions into photonics as the future of artificial intelligence shifts beyond the GPU. Yet a growing debate suggests the next bottleneck may not lie in silicon photonics itself, but in the packaging, assembly and integration systems needed to connect AI infrastructure at unprecedented scale.
