Artificial intelligence is a family of computer systems that perform tasks people associate with human intelligence — recognizing patterns, generating language, or recommending actions — usually by learning statistical relationships from data rather than following only hand-written rules.
Artificial intelligence is less a single invention than a moving label for systems that automate judgment: ranking results, drafting text, spotting anomalies, or controlling robots.
In industry coverage, “AI” usually means machine-learning systems trained on large datasets — especially generative models that produce text, images, or code.
Latent reporting treats AI claims as testable: which model, what data, what evaluation, and what broke in production when the demo left the slide deck.
Machine learning is the dominant modern approach to building AI systems, but AI is the broader category of systems that act intelligently.
Once a technique becomes routine, marketers and researchers often stop calling it “AI,” so the label tracks the frontier more than a fixed checklist.