Techquity
Technology Investor, Fundamental Research
Keysight has an overlooked moat: before any hardware innovation such as AI chips, 5G/6G or EVs reaches the market, it must be tested and meet strict standards, and Keysight owns that critical testing market with a unique mix of hardware and software. Rather than guessing which tech company will win, investors can own the one that tests them all. The stock is up 69% YTD. x.comÂ
Keysight's gross margin expanding on fast revenue growth shows real chokepoint pricing power in AI test. Q3 FY26 gross margin reached about 69%, up roughly 140-150 bp from Q2's clean 67.6%, as revenue grew 36.5% to $1,846M; operating margin hit 33.2%, above its 31-32% long-term target. Orders rose 56% to $2,091M, though book-to-bill narrowed to 1.13, and Q4 EPS guidance of $3.34-3.40 tops the ~$2.68 consensus. Management says it spans pre-silicon design through manufacturing. x.com x.com x.comÂ
Keysight remains a favored test name as its planned OCP showcase extends AI infrastructure validation across scale-up, scale-out and scale-across networks and inference. The breadth suggests growing traction in testing varied AI architectures as data-center operators need to validate more complex deployments, extending its earlier silicon-photonics design-to-test opportunity. x.comÂ
Keysight looks expensive against its earnings at $319.45, about 16% above the top of a $216-275 fair range. It trades at 23x forward earnings versus the industry's usual 18x, and that multiple leans on a forecast 259% above trailing earnings. This is a levels-only read from reported earnings and estimates, without fundamental work. x.comÂ
Keysight is the photonics test stock to buy now because the 1.6T production ramp, where the big checks get cashed, has not yet peaked and Keysight is the least exposed to a major correction. It reported $1.6B in revenue with 30% year-over-year growth projected for Q2, and is buying back $1.5B of stock because it sees the 1.6T cycle lasting through 2028. Its diversified $57B market cap makes it safer than Aehr, which has run too far too fast; Goldman has a $384 target. x.comÂ
Aehr Test Systems stands to benefit because testing is a bottleneck to scaling AI chips. Testing demand is about to surge. Investors did not question its price-to-sales ratio at 120, despite the current P/S objection. x.com x.comÂ
Quantum computing's suppliers get paid whoever's machine wins, as steel mills did while most railroads went bankrupt. Chips, test benches, cryogenic freezers, inspection, lasers, vacuum gear and light must be bought regardless. Washington signed nine letters of intent worth about $2.013 billion before any machine was built, half to the one recipient with a working foundry. Only one name is in its buy zone; the rest await lower prices. Two flat quarters of cryogenic and control orders ends it. … Show more
AI is accelerating quantum computing by attacking its real bottleneck, real-time error correction, a pattern-recognition task deep learning excels at. DeepMind's AlphaQubit cuts errors 30% versus the best fast classical decoder, and Nvidia is productizing the layer with Ising, NVQLink and CUDA-Q as the core toll road. Alphabet, IBM and Microsoft add lab exposure, Rigetti and IonQ pure-play upside, and FormFactor, MKS and Keysight sell shovels. AI may also eat quantum's early chemistry uses. … Show more
Advantest proved it deserves a premium valuation: its SoC tester market share rose from 56% in 2024 to 66% in 2025, widening its lead over Teradyne. It also received its first high-volume ATE order for silicon photonics. x.comÂ
LLM-driven hardware verification is generally bearish for Synopsys and Cadence, but not predictably enough in the short term to justify betting against them. A post being answered argues verification is the cleanest monetization path for the new LLM capability, with private math pure plays Harmonic and Axiom Math likely to target it, so sentiment on both should worsen. The development is broadly bullish for compute. x.comÂ
As LLMs commoditize, chip programs will multiply, favoring vendors paid per attempt: CEVA, Aehr Test Systems, inTEST, PDF Solutions and GSI Technology. Stable, cost-driven inference makes hardwired custom chips worth building, and every program pays for IP, yield and test, success or not. CEVA earns per-unit IP royalties, Aehr and inTEST scale with SKU count, PDF Solutions owns cross-fab yield data, and GSI is a risky memory-wall option. Ongoing architecture churn would make this early. x.com … Show more
