Artificial intelligence is entering a new phase centered on agentic systems, with momentum shifting from digital environments to real-world applications. Speaking at the DIGITIMES AI Expo on March 26, Aurotek said the industry focus is no longer limited to model capability, but is moving toward enabling AI to operate in physical settings such as factories, logistics and service environments.

The focus of artificial intelligence computing is set to shift from training to inference beyond 2025, a transition that will also redefine system bottlenecks across data centers, according to DIGITIMES Research.

Semiconductor manufacturers are racing to secure critical materials as Middle East tensions disrupt supply chains, with the risk of production disruption outweighing rising costs.

The surge in artificial intelligence demand is pushing the semiconductor industry toward a supply crunch, as Elon Musk outlined a plan to build what he described as the largest chip manufacturing effort in history.

Taiwan is advancing efforts to build sovereign artificial intelligence (AI) capabilities, even as power supply and data readiness emerge as key constraints across the AI infrastructure stack.

Quantum computing is shifting from isolated experiments toward hybrid architectures integrated with high-performance computing and artificial intelligence (AI), speakers said on March 25 at the AI Expo Taiwan 2026, as the industry looks to position quantum systems as components within data center infrastructure rather than standalone research platforms.