Understanding AI (4/4): 10 Applications and trends to watch

Creates original content: text, images, music, and more—generating new output from patterns learned in data.

Models like GPT, Claude, or Gemini trained on massive text corpora. They can understand, translate, and write fluently—powering modern assistants.

The craft of asking the right question to get the right answer. Humans remain central by guiding the model.

Enables machines to “see” and understand images and video (quality control, medical imaging, safety, etc.).

Systems that understand and respond in natural language (customer support, HR, or medical guidance).

Virtual replicas of objects, systems, or factories used to simulate, predict, and optimize without real-world risk.

Combines perception, reasoning, and action for robots operating in the physical world closing the gap between digital and physical.

Cloud computing and data platforms make it possible to train and deploy models at scalebringing AI to more organizations.

AI can power virtual worlds with autonomous characters, personalization, and interactive experiences.

The most advanced models of the moment—powerful and versatile, but also riskier—often discussed as steps toward a still-hypothetical AGI.