Artificial intelligence is reaching a physical limit: moving data consumes more energy than computing it. The Age of Light explores how photonics and neuromorphic architectures enable human-centered, energy-efficient intelligence, embedding AI directly in hardware at the edge of reality.
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As artificial intelligence continues its exponential growth, the world is approaching a critical threshold: the electricity required to move data between chips is fast approaching and in some cases surpassing, the power consumed by the computations themselves.
The global race for artificial intelligence is often framed as a competition of scale: larger models, more parameters, faster GPUs. Yet beneath this visible layer lies a quieter crisis. As AI systems grow, the energy required to move data between chips, racks and clusters is beginning to exceed the energy needed for computation itself.
The global conversation about artificial intelligence remains dominated by software. New models. Larger parameters. Faster inference. More autonomous systems. Investors track benchmarks, governments debate regulation and boardrooms compete over who will deploy intelligence first.
At 5:42 a.m., the parking lot outside the factory in northern Ohio is already half full. Pickup trucks idle in the cold. Inside, the smell of burnt coffee mixes with the blue glow of smartphone screens.
For more than two decades, innovation in consumer technology followed a familiar rhythm. Smaller chips. Faster processors. Thinner devices. Each generation promised more power without asking anything in return.
