Optics and photonics should be among AI's biggest winners as faster GPU networks need optical connections that suppliers cannot expand quickly enough. Lumentum says some components are sold out through early 2029; Sivers is investing $30M to target more than 100M lasers a year, with operations expected in Q4 2027. Potential US restrictions on Chinese transceivers could reshape supply in 2027. Applied Optoelectronics and Sivers are the favorites. x.com  x.com 

AI networking and optics growth underpins an extremely bullish outlook for Lumentum, Coherent, Marvell, Credo, Astera Labs and Broadcom. BofA estimates AI networking will grow from $95.6B in 2026 to $394B in 2030, with optical reaching $111B and co-packaged and near-packaged optics reaching $14.1B and $10.7B. Photonics is one of the most interesting investment themes for 2027 onward, though it is a complex market with many players. x.com 

Marvell risks paying a peak-scarcity price for Lumentum if optical supply catches up by 2028-30. The proposed ~$99B deal values Lumentum at roughly 20x guided annualized revenue and 58x estimated after-tax operating income, while Lumentum, Coherent and Chinese suppliers are adding laser capacity. The DSP-and-laser combination has strategic logic, but durable scarcity economics and Nvidia's response remain uncertain. x.com 

AI data-center spending flows beyond GPUs and operators into networking, optics, power and cooling. Nvidia, AMD, Broadcom and Marvell supply chips; Arista, Nokia and Credo connectivity; Applied Optoelectronics and Lumentum optics; Vistra, Constellation and Bloom power; Vertiv and Modine cooling. Meta's $140B spending this year illustrates the scale, per a commenter with whom the point is agreed. x.com  x.com 

Rising 1.6T switching demand favors optical suppliers, though their execution risks vary. Bank of America says the market could grow ~101% annually through 2030. Marvell's leading DSPs and Lumentum's supply-short 200G EML lasers are lowest risk; Applied Optoelectronics' capacity expansion and Fabrinet's customer concentration make them medium risk. Aeluma remains pre-commercial, while Lightwave Logic's polymer modulators are a high-risk moonshot despite its TSM partnership. x.com 

Corning is a structural loser from orbital AI data centers, because compute migrating from fiber-intensive terrestrial data centers to zero-fiber orbital ones reduces fiber demand. In vacuum, satellites link by free-space lasers rather than fiber, so Corning's hyperscale data center fiber business faces a long-term headwind. It is not a short, since 5G and fiber-to-the-home provide other drivers, but the exponential AI-fiber narrative weakens materially. x.com 

Scale-up moving to optics adds demand for optical suppliers even if new AI architectures need fewer switches. Bigger data centers and more GPUs add to that need; Jensen Huang expects future optics requirements to be several orders of magnitude above what NVIDIA ships today. This challenges the optics bear case for Lumentum, Coherent, Tower Semiconductor and Credo. x.com 

Lumentum's Raman pump lasers could benefit as more inter-site AI network spending shifts to optical line systems. Cignal AI forecasts those systems taking 57% of this spending by 2030, up from 29% in 2026, and identifies Raman amplification as a major cost driver and pump lasers as one of the tightest supply-chain components. Lumentum offers those lasers and the amplifiers built around them. x.com 

Applied Optoelectronics, Lumentum and Coherent face share losses at US hyperscalers to Innolight. Channel checks favor Innolight gaining share in Q2 2026, at the expense of those three. Per @poezhao0605, a $7B Hong Kong IPO, the largest in years and upsized from $5B on strong demand, has cleared its listing hearing. x.com 

AI data-center spending should reach chips first, then racks, power and cooling, benefiting Nvidia, AMD, Vertiv, Bloom Energy, Credo, Marvell, Lumentum and Micron. BofA forecasts the global data-center market at about $1T in 2026, $2.1T in 2028 and nearly $3T by 2030, a 37% annual rise; roughly 80% of a new AI site's $57M per MW cost goes to servers, networking and storage. x.com