Markets, stocks and earnings analysis for investors in the US, UK and Europe
Author
Nathan Ellis
Technology & Markets Contributor, Global Markets Review
SemiconductorsTechnologyAnalyst RatingsAI Demand
Nathan Ellis is a technology and markets contributor at Global Markets Review, covering the companies at the intersection of technology, artificial intelligence and public markets. His work focuses on semiconductor stocks, major technology companies, analyst upgrades and downgrades, price-target changes and the investment themes driving the sector.
He tracks how product launches, capital spending, earnings expectations and shifts in AI demand affect valuations and investor positioning across global technology markets.
As an independent contributor, Nathan brings a sector specialist's lens to technology stories that are often dominated by momentum and narrative. He checks analyst actions against earnings expectations, company guidance and disclosed capital spending, and distinguishes a model update from a genuinely changed view of demand.
His semiconductor work also follows the supply chain behind AI demand. GPU orders, foundry capacity, memory, networking and customer infrastructure spending can move on different timelines, so he avoids treating one strong data point as evidence that every part of the technology cycle is moving together.
Nathan Ellis contributes to Global Markets Review as an independent journalist and holds no positions in individual securities covered by the publication.
Global Markets Review's October 2026 audience research finds no consensus that AI and semiconductor stocks are in a bubble, while geopolitics and export controls rank as the largest perceived 12-month risk.
Oppenheimer sees upside in FuelCell Energy as AI data centers chase on-site power. GMR examines the backlog, manufacturing ramp and path to profitability behind FCEL stock.
Synopsys shares reacted to a fresh upgrade after revenue rose 42% in Q3. GMR examines whether the fundamentals, Ansys integration and AI-driven EDA demand support the valuation.
The new Mac Studio gives companies an alternative to metered cloud inference: buy a high-memory workstation, cluster it locally and own the capacity. The market question is whether lower running costs can overcome Apple's small enterprise desktop position.
Analog Devices says data-center demand is growing more than 100% across both optical and power. GMR examines why ADI is becoming a second-order AI infrastructure winner.
Coherent's PhotonLink combines lasers, silicon photonics, optics, fibers and detectors for next-generation AI data centers. GMR examines the strategic and investment implications.
Qualcomm's Amazon AI deal ties up to $60bn of purchases to warrants for 25m QCOM shares. We examine the economics, inference strategy and competitive read-through.
Glencore and Mercuria are reportedly pursuing separate deals involving Venezuela's Venalum aluminium smelter. Here is what the talks mean for global metals supply.
AI stocks price enormous growth in chips, data centres and cloud. We examine how tighter frontier-AI regulation could affect semiconductors, utilities, hyperscalers and AI infrastructure.
Why the global AI race is difficult to slow: the US, China, Europe and Gulf states face economic and strategic incentives to keep investing in compute and frontier capabilities.
Analog Devices is buying Alif Semiconductor for $1.35 billion. We examine what the acquisition says about edge AI, industrial chips and ADI's strategy.
GMR's methodology for tracking analyst upgrades, downgrades, reiterated ratings and price-target changes without treating every research note as equally informative.
A methodology for reading analyst consensus by combining recommendation distribution, target dispersion and estimate revision direction instead of relying on a single average label.
Broadcom's Q3 revenue hit $29.6bn and AI semiconductor sales reached $16.7bn, yet AVGO analyst targets moved in both directions. Here is what the split says.
Broadcom analyst price targets moved in both directions after its September 2026 results and AI revenue forecast. See what changed and why the range matters.
Meta analyst ratings and price-target changes in August 2026, including Evercore's higher target and the emerging value assigned to AI compute capacity.
Memory chip stocks are booming as AI infrastructure demand outpaces supply. What's driving the shortage — and why the order backlog isn't clearing soon.
The semiconductor stocks highlighted by Morgan Stanley in 2026, with analyst ratings, price-target context and the evidence behind the brokerage's chip-sector view.
Understand semiconductor designers, foundries, memory producers, equipment suppliers and IP licensors, with company examples and the risks behind each business model.
Semiconductor stock analyst upgrades and price-target changes from August 2026, with brokerage actions separated from target-only revisions and maintained ratings.
The largest Nasdaq-100 companies, how the index is weighted and why Nvidia, Microsoft, Apple, Amazon, Alphabet and other megacaps dominate its behaviour.
The 20 largest listed semiconductor and equipment companies in a 31 August 2026 data snapshot, with USD market values, tickers, sources and ranking methodology.
Amazon, Meta and Microsoft are spending heavily on AI infrastructure. Here is why capital intensity, depreciation and utilisation are becoming central to mega-cap tech valuation.