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As artificial intelligence systems scale to unprecedented levels, the real bottleneck is no longer computing power but data movement. Silicon photonics promises faster, cooler communication between chips—yet the industry still faces a critical challenge: manufacturing optical hardware reliably at massive scale.
MWC 2026 reveals a deeper shift in the technology industry. While futuristic gadgets dominate the exhibition floor, the real transformation lies beneath—in the massive infrastructure investments powering the AI economy, from hyperscale data centers to satellite networks and global connectivity systems.
Artificial intelligence is often portrayed as weightless software, yet every digital interaction depends on physical networks powered by electricity. As AI scales, telecom operators face a fundamental question of economics and governance: who ultimately bears the cost of powering intelligence at scale?
Data centers are no longer constrained by technology or demand, but by the physical limits of the energy system around them. As grid capacity and heat become decisive factors, digital infrastructure shifts from an IT optimisation challenge to a question of governance and system design.
For years, photonics has been presented as a technology of the future — elegant, powerful and perpetually just over the horizon. It appears in research agendas and innovation strategies alongside quantum computing and other long-term breakthroughs. As a result, it is still widely perceived as experimental rather than structural.
AI is not exhausting our energy systems because it computes too much, but because digital infrastructure still wastes energy on heat, resistance and cooling. Photonics offers a structural way out.
