Silicon Photonics
Conviction: 75%
· Horizon: 3Y
· 2026-08-12
Optical interconnects displace copper as AI clusters hit bandwidth and power walls
GPU-scale AI clusters are outgrowing copper for rack- and campus-scale data movement. Co-packaged optics, silicon-photonics transceivers, and high-speed SerDes become the next capacity bottleneck after accelerators, lifting demand for lasers, optical engines, and connectivity silicon.
| Instrument | Side | Target | Reason |
|---|---|---|---|
| COHR | Long | Coherent has industrial scale in indium-phosphide lasers, transceivers, and photonic materials that sit at the core of next-generation optical modules. | |
| LITE | Long | Lumentum is a scaled supplier of high-power lasers and optical components used in data-center transceivers, so it captures the laser bottleneck as 800G and 1.6T silicon-photonics ramps. | |
| MRVL | Long | Marvell's DSP, PAM4, and custom connectivity silicon sit between GPUs and optical engines, so co-packaged optics and 1.6T ramps flow through its data-center franchise. | |
| CRDO | Long | Credo's high-speed SerDes, active electrical cables, and optical DSP products are built for short-reach, high-bandwidth links that copper can no longer serve economically. | |
| AAOI | Long | Applied Optoelectronics is a more concentrated transceiver manufacturer whose earnings torque harder if 800G and 1.6T module volumes surprise to the upside. | |
| POET | Long | POET's optical interposer aims to cut the cost and complexity of photonic engines, but customer adoption and manufacturing scale remain earlier-stage than at incumbent module makers. | |
| AEVA | Long | Aeva applies silicon-photonics FMCW sensing mainly in automotive LiDAR, making it a leveraged, less proven way to own the photonics stack outside the data-center core. |
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