CONNECT WITH US
May 6
AEM CEO says AI upends semiconductor testing
Singapore semiconductor equipment and testing company AEM is facing a dual challenge of "physics and cost" as the AI era rewrites the limits and supply-chain logic of chip testing, CEO Samer Kabbani said. AI is also driving up to US$7 trillion in global infrastructure investment, he said, while forcing the industry to adapt to faster product cycles and far larger, more power-hungry packages.
The strategic significance of Arm's current transformation lies in its transition from a volume-dependent mobile component provider to a value-driven infrastructure architect. As the global smartphone market faces structural saturation, the organization is pivoting toward Agentic and Physical AI to redefine its commercial relevance. The core of this strategy is to increase the average selling price per chip by packing higher complexity—measured in core density and orchestration capabilities—into each unit, thereby ensuring revenue growth even as hardware shipment volumes stabilize.
During the earnings call on May 6, Arm announced a significant expansion of its product strategy, centering on the emergence of "Agentic AI" and "Physical AI" as primary growth drivers for the next decade. The company defines agentic workloads as a shift from human-based queries to continuous, autonomous tasks where CPUs must coordinate data movement, manage memory, and orchestrate work across accelerators. To address this, Arm recently launched the Arm AGI CPU, a product purpose-built for these specific AI requirements.
Nvidia and Corning announced a multiyear partnership to expand U.S.-based production of optical connectivity solutions for AI data centers. Corning will increase its U.S. optical connectivity manufacturing capacity by 10-fold and expand fiber production capacity by more than 50%.
Arm reported fiscal fourth-quarter revenue of US$1.49 billion, up 20% year over year and nearly 20% higher sequentially, according to company financial data. Net profit rose 49% from a year earlier to US$313 million, while operating income climbed to US$438 million.
Raydium Semiconductor reported first-quarter 2026 revenue and profit figures, signaling demand trends in large displays, automotive, and industrial markets that could affect global display and consumer electronics supply dynamics. International manufacturers and investors may reassess inventory and production plans amid cautious smartphone AMOLED demand and continued large-display stocking by some clients.
Network infrastructure demand in 2026 remains broadly positive as telecom operators in Europe and the US prepare for future AI use cases. Chipmakers say the growth is not just about spec upgrades, but a full-scale overhaul of network infrastructure.
A Counterpoint Research survey finds Snapdragon is India's most trusted chipset brand across smartphones, audio, XR devices, and passenger vehicles, signaling that chipset performance now shapes purchase decisions—a finding relevant to global readers tracking device performance trends, platform ecosystems, and the expanding role of chipsets in connected-device experiences.
A year of Intel-Apple negotiations and recent Samsung chatter amount to familiar supply-chain posturing—and TSMC's technical advantages remain unbeatable.
Over the past decade, market assessments of Intel have largely been confined to a single lens: execution in advanced process technology. By that metric, Intel has struggled, with delays in 10nm and setbacks at the 7nm node, leading to the loss of Apple's chip orders. This view assumes that semiconductor manufacturing advantage is determined primarily by transistor density, particularly in the system-on-chip era.
As demand for PCs and edge AI accelerates, the consumer SSD market is entering a transition to the PCIe 5.0 (Gen5) era. For notebooks — long a core OEM segment — power consumption and thermal limits have become the decisive barriers to large-scale adoption of next-generation SSDs.
Autonomous driving and smart cockpit technologies are pushing vehicles to demand far more computing power and data processing. Memory has become a critical component in automotive system performance. But as demand surges, AI applications are reshaping the global memory supply chain — reallocating capacity and creating structural pressures that are tightening supply and driving up prices.