Greg Soros Draws a Line Between AI and Editorial Work
Podcaster Greg Soros has a clear rule for where automation belongs at Podcraft Media Lab: handle the tasks that eat up time, stay out of the decisions that shape a story. That line runs through transcription, audio cleanup, and metadata organization, all of which Soros hands to software so his team can focus elsewhere.
Machine learning also plays a role in identifying strong spots for ad placement and in analyzing how listeners respond to an episode. Soros treats both as useful inputs rather than final answers, keeping editorial calls with people who can weigh context a model would miss.
Guarding Against Sameness
“We use artificial intelligence to handle transcription, initial audio cleanup, and metadata organization,” Greg Soros said, noting that creative decisions stay firmly with his team.
The podcaster has watched other producers automate nearly everything and end up with shows that sound interchangeable. His response has been to protect narrative development and sound design as human territory, even as the rest of the workflow leans on software for speed.
Results Clients Notice
The approach has not slowed the studio down. Podcraft Media Lab has cut production timelines by about 35 percent while holding onto premium quality standards, a combination Soros credits for client retention above 95 percent. For Greg Soros, the dividing line between machine and person is not a limitation on growth but the reason the growth has held up.
Industry observers note that studios drawing this kind of line are becoming more common as clients grow wary of shows that sound machine-produced. Soros treats the distinction as a selling point rather than a constraint, telling prospective clients upfront which parts of production are automated and which are not.
That transparency, according to people who work with the studio, has become part of the pitch itself. Referral business now makes up a meaningful share of new clients, many of whom say they chose Podcraft Media Lab specifically because Soros could explain exactly where the human judgment sits in the process. Refer to this page for related information.
More about Greg Soros on https://www.opensocietyfoundations.org/george-soros