Media AI applications accelerate production workflows, extend content reach through accessibility, and improve audience matching for monetization. The volume economics are distinctive: a broadcaster producing thousands of hours of content annually cannot manually caption, tag, and moderate at scale. AI handles the high-volume repetitive layer while human editors handle creative judgment. Content moderation is the most consequential application, platforms are legally and reputationally obligated to remove harmful content at scale, and the speed-accuracy tradeoff has direct regulatory implications (EU Digital Services Act, US FOSTA-SESTA).