Ciena is the only Western vendor with the full stack for scale-across networking, which frontier AI labs now need to train one model across many sites. Grid interconnection queues run three to five years and no utility can deliver 1GW in one place, so OpenAI, Anthropic, Google, xAI and Meta are spreading training across five to ten campuses per region. Interconnects then grow exponentially, with 10 sites needing 45 high-capacity links, and the network becomes part of the training fabric. x.com 

Ciena could be Nvidia's next investment after Lumentum, Coherent and Marvell, because AI compute is moving toward clusters linked across cities. Data centers have hit their limits on power and cooling, so compute may be spread across sites in different cities and joined by high-speed networks to act as one machine. That shifts the problem to city-to-city links, where Ciena's long-distance, high-reliability optical transport is irreplaceable; Nvidia cannot sell cross-city clusters without it. … Show more

Nokia's guidance raise was just an accounting shift, leaving a steep climb to its profit target. The bump to €2.1-2.6 billion came from moving two business lines into discontinued operations; JPMorgan asked why operating targets weren't raised. With about €735 million of H1 operating profit, Nokia needs €1.8-1.9 billion in H2 for the top end, so delays risk a miss. Memory and optics remain bottlenecks, and only about half of €2.8 billion in AI and Cloud orders converts within 12 months. x.com  … Show more

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 

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 

Ciena looks dicey beyond the short term, in line with a Seeking Alpha article by Wail Shudar written shortly before its earnings plunge. A post the author replies to notes the stock is now technically in a much better place. x.com  x.com 

Ciena looks pretty attractive at current levels. x.com 

Ciena is becoming an AI infrastructure story rather than a telecom equipment one, because bandwidth between data centers could become the next major constraint as AI capacity spreads across campuses and regions. Its CEO framed Ciena as a critical connectivity layer as larger AI clusters drive structurally higher optical networking demand. Per Bloomberg's framing, the selloff after a Q3 beat looks like an expectations and valuation reset, not weaker demand, possibly a better entry point. x.com 

Nokia's expected 2028 earnings do not make the stock particularly attractive at today's multiple. Even assuming EUR3.5bn of operating profit and a 17x multiple, the implied value is about $12.40, leaving the thesis dependent on multiple expansion. Datacenter and optical progress is good, but more growth in satellite communications and subsea would strengthen the case. x.com  x.com  x.com 

Ciena solves inter-data-center bandwidth constraints, one of AI's bottlenecks alongside compute and power, and it trades at a more compelling price after the July selloff. Its $7.7B backlog, with about 80% converting to revenue within a year, is chunky. x.com