Post-production teams are doing more with less. Output demands keep climbing. Headcount doesn't. And AI has entered the conversation — sometimes as a promise, sometimes as a threat, often as both at once.
Most AI conversations skip over the thing post professionals actually care about: will this make the work better, or just cheaper? The answer depends entirely on what you ask AI to do.
What we'll cover:
- The real squeeze in post: more output, fewer people, and AI arriving whether you invited it or not
- What AI can handle in post today — search, metadata, transcription, archive — and where it falls short in some of those same areas and more.
- The tasks that still need a human: feedback, creative judgment, approvals, and editorial instinct
- How Iconik supports both sides — speeding up the operations end (asset findability, streamlined workflows, automated repetitive tasks) so you can focus on creating and collaborating with ease.
This session is for you if:
- You work in post-production and you're trying to figure out where AI can assist you
- You're spending too much of your day on file management, logging, or searching instead of editing
- You want a practical take on AI in post, not hype