{
  "id": 1695024,
  "title": "[Insight] Qualcomm Korea Is Designing How AI Works Beyond the Chip",
  "url": "https://urgent.news/2026/08/18/insight-qualcomm-korea-is-designing-how-ai-works-beyond-the-chip",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-18T11:24:49.000Z",
  "source": {
    "name": "Korea IT Times",
    "slug": "korea-it-times",
    "url": "https://www.koreaittimes.com/news/articleView.html?idxno=156228"
  },
  "original_language": "en",
  "account": "The AI industry has traditionally focused on expanding data centers and enhancing graphics processing units. However, with AI systems increasingly interpreting users' voices, locations, health data, vehicle sensors, and factory video, transmitting every decision to the cloud imposes costs and limitations. Qualcomm is strategically positioned at this boundary, combining low-power computing, connectivity, sensor processing, AI software, and developer tools to create an infrastructure for AI operations within Korean products. While the cloud remains crucial for training large AI models and performing complex inference, the shift within the AI competition is from computing scale to efficient distribution. On-device AI, which handles tasks like real-time translation, image enhancement, user behavior prediction, and vehicle object detection locally, reduces burdens such as network and inference costs, service failures due to unstable connectivity, and the need to transmit sensitive information. Qualcomm designs a unified system, integrating central processing units, graphics processing units, neural processing units, image signal processors, modems, and wireless connectivity. This integration allows immediate decision-making locally while transferring tasks requiring extensive knowledge or long-term context to the cloud. Qualcomm's collaboration with Samsung Electronics extends beyond smartphones, aiming to connect Galaxy foldable smartphones, smartwatches, and intelligent eyewear through Snapdragon platforms. In vehicles, Qualcomm and Hyundai Mobis are jointly developing an advanced driver assistance system and software-defined vehicle solution, with critical functions like pedestrian detection and braking decisions handled locally. Qualcomm's strategy now extends beyond semiconductors, focusing on the broader development process, including data collection, AI model training and optimization, device deployment, and ongoing management. The company has acquired several companies to expand its industrial and embedded Internet of Things business. Despite increasing revenue, Qualcomm's growth target for fiscal 2029, excluding smartphones, is set to reach $40 billion, underscoring the company's commitment to the AI-driven future.",
  "summary": "The AI industry has so far concentrated on securing larger data centers and more graphics processing units. But as AI begins to continuously interpret users’ voices, locations and health data—as well as vehicle sensors and factory video—sending every decision to the cloud creates limits in cost, lat",
  "key_points": [
    "Qualcomm redefines AI beyond chips, focusing on efficient distribution within devices.",
    "Qualcomm integrates CPUs, GPUs, NPUs, and connectivity in a unified system for local AI processing."
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}