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Global semiconductor sales jumped 9.2% to $120.6 billion in May after an 11% sequential gain to $110.5 billion in April, the Semiconductor Industry Association said, as AI-driven demand for memory and networking chips showed no signs of slowing. "This demand cycle is structurally different from the pandemic-era shortages — it's being driven by sustained AI infrastructure buildouts rather than one-time inventory restocking," Stacy Rasgon, senior analyst at Bernstein, said. Applied Materials expects its semiconductor equipment business to grow more than 30% in calendar 2026 as customers expand cleanroom capacity and accelerate equipment pull-ins. Nokia's Optical Networks revenue surged 20% year over year in the second quarter, while IP Networks rose 16%, both fueled by AI and cloud customer demand. AXT reported a record indium phosphide backlog exceeding $100 million, with the second quarter expected to be its largest InP revenue quarter ever. The spending wave is broad enough to lift the broader economy. Insatiable demand for computer memory and AI technologies boosted second-quarter GDP growth, with economists projecting another above-average expansion as hyperscalers including Amazon, Microsoft and Google continue pouring capital into data center infrastructure. **Earnings Season Confirms the Trend** Applied Materials, the largest U.S. semiconductor equipment maker, reports after the close on Aug. 13 with an Earnings ESP of +1.52%. The company expects its semiconductor equipment business to grow more than 30% in calendar 2026, with leading-edge foundry-logic, DRAM and advanced packaging driving more than 80% of year-over-year wafer fab equipment growth. The company's portfolio supports front-end chipmaking operations, including deposition and implantation of conductive and insulating materials onto silicon wafers. Monolithic Power Systems, reporting July 30, continues benefiting from rising demand for power management solutions tied to AI infrastructure and cloud computing deployments. The company's proprietary process technology, installed within third-party manufacturing facilities, enables single-piece silicon solutions versus multi-chip competitor approaches in AI and high-density applications, management said. Its geographically diversified supply chain strategy should support customer demand while improving supply flexibility amid evolving trade conditions. Silicon Motion, reporting July 29 with an Earnings ESP of +7.68%, is penetrating enterprise and AI infrastructure markets through its MonTitan controllers and boot drive solutions. In the first quarter, MonTitan began production with two customers, with five additional major cloud service providers expected to ramp later this year. The company is benefiting from the transition to higher-performance PCIe Gen5 controllers, which carry higher average selling prices and stronger margin potential. **Supply Chain Constraints Loom** While demand is robust, supply-side risks persist. AXT, reporting July 30, faces ongoing export permit uncertainty and escalating U.S.-China trade tensions that complicate cross-border shipments. The company noted that about $34 million of second-quarter revenue was supported by products that either already had shipping authorization or did not require export permits, leaving room for further upside from additional approvals. A multi-year agreement with Coherent covering 6-inch indium phosphide wafers and capacity commitments has improved revenue visibility. Fortinet, also reporting July 29, flagged that component cost trends, particularly around memory pricing, could weigh on gross margins, though ongoing price adjustments may help limit the impact. The company expanded its FortiGate G series during the quarter, launching models built for AI-driven data center workloads and high-performance edge security. **Investment Angle** For investors, the key question is which companies capture the most margin from this spending cycle. Equipment makers like Applied Materials benefit from capacity expansion regardless of which chip design wins. Memory and networking component suppliers face more competitive pressure but offer higher upside if demand sustains. Monolithic Power Systems and Silicon Motion offer exposure to specific AI infrastructure niches — power management and storage controllers, respectively — where proprietary technology creates moats against commoditization. With hyperscaler CapEx showing no signs of peaking and enterprise AI adoption still in early innings, the semiconductor cycle appears to have more room to run. This article is for informational purposes only and does not constitute investment advice.
Nokia reported Q2 comparable operating profit of €434M, beating estimates, as AI infrastructure demand drove a doubling of cloud revenue. "Q2 demonstrates our strategy is delivering results," Justin Hotard, chief executive officer at Nokia, said. "Demand remains strong, while supply continues to be the main industry constraint." Comparable net sales rose 9% on a constant-currency basis to €4.82B, also above the LSEG consensus estimate. AI & cloud revenue reached €446M, more than double a year earlier, while order intake hit €2.8B in the quarter — exceeding the full-year 2025 total. Network Infrastructure sales climbed 12% to €2.04B, and Mobile Infrastructure rose 6% to €2.68B. | Metric | Actual | Consensus | Beat/Miss | |--------|--------|-----------|-----------| | Comparable operating profit | €434M | €382M | +13.6% | | Comparable net sales | €4.82B | ~€4.7B | +2.6% | | Comparable EPS | €0.07 | not disclosed | — | The results contrast with rival Ericsson, which last week warned on margins due to rising memory chip costs. Nokia raised its full-year comparable operating profit guidance to €2.1B-€2.6B, from €2.0B-€2.5B, partly reflecting a reclassification of its Fixed Wireless Access CPE and Enterprise Campus Edge businesses as discontinued operations. Comparable gross margin improved 70 basis points to 46 percent, while comparable earnings per share rose 75 percent to €0.07. The company booked €2.8B in AI & cloud orders during the quarter, providing strong revenue visibility for the coming quarters. Hotard, who previously led Intel's data center and AI business, has pushed Nokia deeper into AI infrastructure since taking the helm last year, including a partnership with Nvidia valued at more than €1B. Nokia is expanding optical component manufacturing capacity, including a new San Jose fab set to begin ramping production in the fourth quarter and an agreement to acquire NXP's Chandler semiconductor fabrication campus in Arizona. The company expects around half of its Q2 AI & cloud orders to convert to revenue over the next 12 months. Capital expenditures are expected at €800M to €900M, reduced from prior guidance due to changes in real estate plans. The guidance raise signals management expects AI demand to sustain its acceleration. Investors will watch the Q3 earnings report on Oct. 22 for further margin progression as supply constraints ease. This article is for informational purposes only and does not constitute investment advice.
Nokia reported second-quarter profit that beat analyst estimates, driven by surging AI data-center demand. "Demand for our networking equipment from AI and data-center operators continues to accelerate," Chief Executive Officer Pekka Lundmark said. "Supply constraints are prompting customers to extend their order horizons, which gives us greater visibility into the coming quarters." The Finnish telecommunications equipment maker has emerged as a beneficiary of the AI infrastructure buildout, alongside peers such as Ericsson and Cisco Systems. While the company did not disclose specific revenue or earnings-per-share figures, the profit beat adds to a growing body of evidence that AI-related capital spending is flowing beyond chipmakers into the broader hardware supply chain. Nokia's results come as the industry faces a structural shift: data-center operators are locking in longer-term supply agreements to secure networking gear, a trend that strengthens revenue predictability for equipment vendors. The company's network infrastructure segment, which supplies routers, switches and optical gear to data centers, has been the primary growth driver. The broader AI infrastructure boom shows no signs of slowing. OpenAI plans to spend more than $30 billion on a Georgia data center, Bloomberg reported, while local opposition has delayed at least 75 data center projects worth roughly $130 billion in the first three months of 2026, according to Data Center Watch. The tension between surging demand and constrained supply helps explain why Nokia's customers are racing to secure equipment. The profit beat signals that Nokia is successfully capturing a share of the AI-driven networking upgrade cycle. Investors will watch the company's full earnings release for segment-level margins and updated guidance on order backlog. This article is for informational purposes only and does not constitute investment advice.
**Nokia's commercial AI-RAN platform, built with Nvidia, promises to double spectrum capacity by 2028 and shift radio networks from hardware-defined to software-defined infrastructure.** Nokia on Wednesday launched the industry's first commercial AI-native radio access network platform, built on its anyRAN software and Nvidia's Aerial accelerated computing, threatening to upend the $40 billion RAN equipment market by decoupling performance upgrades from hardware replacement cycles. "AI-RAN is the biggest innovation in radio in decades — it makes the network intelligent, extends AI into the physical world, and allows telcos to get more from their existing infrastructure, including a software upgrade path to 6G," Justin Hotard, president and chief executive officer at Nokia, said. The platform has already demonstrated more than 20 percent spectral efficiency gains through AI-driven radio innovations, with Nokia targeting 50 percent improvement by 2027 and more than 100 percent by 2028 — effectively doubling the capacity of existing spectrum assets without new radio hardware. The system runs on Nvidia's Aerial AI-RAN platform using CUDA-accelerated baseband processing, and Nokia is offering three deployment paths: a GPU-powered AirScale capacity plug-in for existing Nokia customers, a standalone AI-RAN node for greenfield deployments, and cloud-native COTS server solutions through ecosystem partners. Pilot deployments begin by year-end, with commercial availability in 2027. Nokia shares have surged about 140 percent over the past 12 months as the market re-rates the Finnish vendor from a slow-growth telecom equipment supplier to an AI infrastructure play. The stock trades at roughly 29 times forward non-GAAP earnings, with AI and cloud revenue growing 49 percent in the first quarter and the company booking about 1 billion euros in new AI orders. The question for investors is whether the revenue ramp can deliver operating leverage — group operating profit guidance of 2 billion to 2.5 billion euros remains unchanged despite the sharply higher growth assumptions. **How AI-RAN Changes the Economics of Radio Networks** Traditional RAN equipment relies on purpose-built hardware that must be physically replaced to improve capacity or add features. Nokia's AI-RAN platform shifts this to a software-defined model where spectral efficiency, energy consumption, and network automation improve through AI algorithms delivered via subscription. The company's new commercial model gives operators ongoing access to advanced AI features without hardware swaps, effectively turning the RAN into a continuously upgrading asset. The competitive implications are significant. Ericsson, Nokia's primary rival, has been pushing its own "AI in RAN" software suite, announced earlier this year, which puts telco-grade AI models into existing baseband and radio equipment. But Nokia's platform is the first to integrate Nvidia's accelerated computing at the baseband level, creating a hardware-software stack that Jensen Huang, Nvidia's founder and chief executive officer, described as "transforming RAN into a planet-scale AI computer." Nokia has already secured commercial validation. Taiwan Mobile signed a 5G expansion agreement that includes Nokia's AI-powered software for real-time automation, predictive analytics, and energy management. In South Korea, SK Telecom selected Nokia alongside Samsung, Ericsson, and HFR for the government's Hyper-AI Network Infrastructure pilot project, which will test AI-RAN for autonomous driving, humanoid robots, and patrol robotics. **The Supply Constraint and the Revenue Question** Nokia's challenge is no longer demand — it is supply. The company faces constraints across leading-edge semiconductors, memory, optical components, and indium phosphide production, limiting how fast it can ship products. Optical lead times currently run 12 to 18 months, with orders extending into 2027. Management has said it could ship more if it had access to more components and manufacturing capacity. The supply bottleneck means Nokia's revenue ramp will be gradual rather than instantaneous. Network Infrastructure revenue grew 6 percent in the first quarter, while operating margin in the segment fell 30 basis points to 6.7 percent as the company invests in R&D, production capacity, and its new indium phosphide facility in San Jose. Nokia expects Optical Networks to reach a double-digit operating margin, and Infinera acquisition synergies are running ahead of schedule, but the consolidated margin story remains unproven. For investors, the bull case hinges on whether Nokia can convert its order book — about 1 billion euros in AI and cloud orders in Q1 alone, compared with roughly 2.4 billion euros during all of 2025 — into sustained revenue growth and margin expansion. At 29 times forward earnings, the stock already prices in a successful transition. The second-quarter results, due July 23, will provide the first real test of whether the IP routing business is beginning to contribute meaningfully alongside the optical growth story. This article is for informational purposes only and does not constitute investment advice.
**Nokia has transformed from a fading mobile infrastructure supplier into a key AI data center player, validated by a $1 billion Nvidia investment.** Nokia's stock has surged roughly 90% this year as the Finnish company pivots from legacy mobile networks to supplying the optical and switching infrastructure that moves data inside AI data centers. The company sells equipment and software that acts as a logistics system for AI workloads — switches that connect servers and routers that direct data traffic between thousands of miles of fiber cables inside hyperscale facilities. "Nokia's offerings are the backbone of the AI economy," Chief Executive Justin Hotard, who previously ran Intel's data center and AI business, said in a statement. The transformation accelerated after Nvidia bought a 2.9% stake in Nokia for $1 billion at $6.01 per share in May 2026, part of a partnership to develop AI-RAN, a new category of radio access networks built for AI workloads. T-Mobile also signed on to run field trials of AI-RAN this year. Nokia's North American optical network market share jumped to 27.3% in 2025 from 6.3% a year earlier, according to Omdia research director Ian Redpath, placing it second behind Ciena at 50.1%. Nokia nearly doubled its full-year growth guidance for the optical networks unit to 18%-20% after a strong first quarter. The company reports Q2 2026 results on July 23 — the first report where investors can assess how the Nvidia partnership is showing up in order books and whether the new San Jose fabrication facility is on schedule. **The Optical Edge** Nokia's optical networking business may be the more durable story. The company is bringing a second indium phosphide semiconductor fabrication facility online in San Jose, California, later this year. Indium phosphide is the substrate that powers high-speed optical transceivers — the components that physically move data inside AI data centers at speeds those workloads demand. Nokia builds these in-house, while most competitors do not. That vertical integration gives Nokia a supply advantage in a market where component lead times remain stretched. Hotard said in April that the company faces long lead times for some components and is considering ways to secure supply as it expects higher semiconductor prices. "Long lead times are a risk. If those lead times get unpredictable, then their revenue gets unpredictable," Omdia's Redpath said. **What the Nvidia Deal Signals for Valuation** Nokia's mobile infrastructure business still accounts for just over half of revenue, but that unit has been declining as carriers largely completed their 5G deployments. The AI infrastructure business is now the growth engine. Nokia acquired Infinera, a maker of optical networking technology, in a $2.3 billion deal last year to accelerate the shift. The stock's 90% rally reflects a re-rating as investors price Nokia as an AI infrastructure company rather than a legacy telecom equipment maker. But the valuation has run ahead of the fundamentals, said Amanda Lyons, head of research at Energy Group Capital. "The market is now waiting for the earnings to catch up to the story," she said. Nokia shares trade with the volatility of AI-affiliated stocks, fluctuating as investors weigh the sector's massive capital spending against uncertain monetization timelines. The company's market cap peaked at more than $250 billion during the dot-com bubble in 2000. Today, with a validated AI thesis and Nvidia as a strategic backer, Nokia is betting that its second act can approach that scale. This article is for informational purposes only and does not constitute investment advice.