As demand for AI computing expands across industries and applications, chipmakers are seeking opportunities beyond conventional data centers, extending into enterprise deployments and personal devices. At the ninth China International Import Expo (CIIE) in 2026, Intel China showcased three AI computing solutions: green computing pods for large data centers and enterprise campuses, integrated AI inference systems for small and medium-sized enterprises (SMEs), and AI Agent PCs for individual users.

Industrial computer (IPC) maker DFI reported higher revenue and profit in the third quarter of 2026, with earnings per share (EPS) reaching NT$1.29 (US$0.039), up sharply from NT$0.66 in the same period of 2025. The company is focusing on industrial automation, semiconductors and industrial equipment, and mission-critical applications as it expands from boards to systems and scales industrial edge AI deployments.

At the opening panel of electronica 2026 in Munich on November 10, industry leaders agreed that the primary bottleneck in artificial intelligence is shifting from computing power to energy delivery. Panelists warned that power semiconductors are quickly becoming the tech sector's next critical supply chain gap as AI data centers scale to hundreds of megawatts, or even gigawatts, straining grids and power delivery architectures never built for such concentrated loads.

Taiwan is strengthening its quantum technology ecosystem through coordinated government research and industry collaboration, bringing together international technology companies, academic institutions and domestic suppliers to accelerate the development of quantum computing and related applications.

IBM plans to build its next-generation Nighthawk r3 quantum processor to run 10,000 operations across 520 qubits, advancing larger workloads for scientific and industrial users worldwide. The company also plans to link two processors in 2027 to create a 1,040-qubit system, and to integrate quantum machines with classical computing resources.

A semiconductor chip no thicker than a fraction of a human hair might seem insignificant beside the powerful silicon processors driving the world's AI revolution. Yet at Pragmatic Park in North East England, these tiny, flexible devices represent a different vision of computing: one where intelligence gradually becomes embedded in the objects people touch, wear, and use every day.

The award ceremony for the fourth K. T. Li Award was held in Taipei on November 10, with this year's awards presented by former President Ing-wen Tsai to Kinpo-Compal Group president Rock Hsu and Quanta Computer founder Barry Lam.

TSMC is facing unprecedented demand for its advanced chips as artificial intelligence (AI) infrastructure investment accelerates, with advanced packaging and emerging physical AI applications expected to create additional growth opportunities, according to company executives.

Nvidia CEO Jensen's Huang's affair with an alleged Chinese spy has raised questions about national security, corporate governance, and even whether he will keep his job. Beyond his outsized role within the company, the case has also brought attention to his family members' roles within the firm and their influence over a public company that is currently the singular force behind the AI revolution.

The biennial Electronica trade show opened in Munich on November 10, 2026, with industry leaders warning that high wages, energy prices, and bureaucracy continue to undermine Europe's technology competitiveness and manufacturing revival. A roundtable held during the opening examined Europe's industrial position in the AI era.

Taiwan's AI infrastructure expansion is producing different growth patterns across system manufacturers and optical suppliers. All six original design manufacturers and electronics manufacturing services providers (ODM/EMS) tracked surpassed their full-year 2025 revenue during January–October 2026. Among optical suppliers, LandMark nearly doubled last year's total, while FOCI's strong October growth brought cumulative revenue only marginally above the previous year's corresponding period.