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Understanding Key AI Terms: Essential for Industry Trends
AI Industry Expansion and the Importance of Key Terms
As generative artificial intelligence (AI) rapidly expands across finance, healthcare, streaming, and the automotive industry, understanding related terminology is becoming a fundamental requirement for discerning industry trends. In the midst of an AI race that extends beyond simple service launches to encompass infrastructure, regulation, and labor market changes, industry jargon is increasingly becoming a common language across the wider economy. On May 25 (local time), Business Insider compiled key concepts, companies, and figures that elucidate this generative AI competition.
Agentic AI and the Competition for Computing Resources
One of the most closely watched ideas in the AI industry recently is 'agentic AI.' This refers to AI that makes its own judgments and carries out sequential tasks with only limited human involvement. It is seen as a sign that generative AI has moved beyond simple question-and-answer since the arrival of ChatGPT and is shifting toward actually performing work. The long-term target is 'artificial general intelligence (AGI),' which refers to AI that carries out complex cognitive tasks like humans. The core foundation of the AI race ultimately lies in computing resources and infrastructure. Graphics processing units (GPUs) have become key chips used to train and run inference for AI models, and demand is also surging for AI data centers that can house such large-scale chips, storage devices, and power facilities. In particular, the latest AI data centers require far greater power and cooling facilities than earlier generations, indicating that competition in the AI industry is spreading into a race to secure electricity, semiconductors, and networks.
*Source: 디지털투데이 (2026-05-26)*
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