The AI industry encompasses both major technology companies that integrate algorithms into existing products and firms focused primarily on developing and deploying specialized AI services, primarily Large Language Models (LLMs) and generative tools. The core business models revolve around maximizing engagement, leveraging extensive user data, and capitalizing on the perceived utility and "magic" of AI to generate revenue, often through advertising and personalized services.[1]

Generative AI is what we call AI systems that can generate things like images, video, voice and text. They do this by first encoding many examples of the kind of content they’re going to make, then decoding to make something new.

Recommendation is where the role of algorithms is most visible to the public.

AI (artificial intelligence) is a way of using computer algorithms to do things with little or no human involvement.

The podcast industry has seen remarkable growth, with the number of active podcast programs climbing from 550,000 to 750,000 between 2018 and 2019. More than a third of anglophones in Canada listen to podcasts, and just over a quarter of francophones.

A podcast is essentially a readily accessible digital file that contains audio and/or video content. Unlike traditional broadcast media, podcasts are often structured to fit their content, offering flexibility in storytelling. They can feature narration from a host or reporter, a conversation among a group or a one-on-one interview.

A podcast is a digital file that contains audio or video, allowing for flexible and intimate storytelling. Unlike traditional radio, the cost to start producing a podcast is remarkably low, meaning many different types of creators can participate using devices like cell phones. This medium builds a strong feeling of closeness with listeners because the host’s voice seems to be speaking directly into your ear, creating deep, personal connections. Podcasters often imagine their audience as friends or fans.

The music industry is a driven by economics, technology, gatekeepers and the ever-evolving ways people discover and consume music. Understanding these features is crucial to understanding the music itself and its impact.