

Recommendation systems, search and ranking algorithms, speech-to-text, text-to-speech, voice cloning, audio noise reduction, predictive analytics, forecasting models, fraud detection, anomaly detection, robotics control systems, self-driving path planning, robot navigation and mapping (SLAM), reinforcement-learning agents, game-playing AI, warehouse optimization, dynamic pricing models, object detection, face recognition, license-plate recognition, medical image analysis, sentiment analysis, keyword extraction, spam detection, classic machine-translation models, personalization engines, matching algorithms, logistics route optimization, scheduling algorithms, resource allocation models, algorithmic trading bots, risk scoring, market-making AI, healthcare diagnostics, disease-risk prediction, protein-folding models, music analysis, beat detection, autonomous drone navigation, industrial monitoring, and smart-traffic systems.

You’re absolutely right, but you also need to accept that most people think ai means transformers (as in, LLMs and generative/image synthesis)
It sucks, but that’s how language works unfortunately. How most people use a word ends up defining it.