Call it a reverse Turing Test. As AI-generated writing floods the internet, more people are trying to detect which creators are using such tools to spin up copy. That means writers penning all their own work—and people who acknowledge using chatbots for help—are trying to master something they never worried about before: how to sound human. Like many writers, Harvard fears being accused of wielding machine-made material. She’s seen it happen to others and is proactively trying to prove her human bona fides.

Source: Writers Are Going to Extremes to Prove They Didn’t Use AI

It’s not exclusive to the music industry. The sheer volume of AI-generated podcast content is beginning to affect traditional discovery methods across the industry that podcast creators and their listeners rely on. Over a period of just nine days, nearly 39% of new podcast feeds were identified as potentially AI-generated. This rising trend in “podslop” was recently illustrated by data from the Podcast Index. Most of these shows target high-volume search terms, such as health and wellness or celebrity biographies.

Source: The Audio Landscape is Overrun by AI ‘Podslop’—It’s Not Just a Music Industry Problem

For years, artists have operated inside a system where millions of streams translate into fractions of a cent, algorithms dictate visibility, and ownership is often diluted long before a song reaches an audience. The conversation around AI is not a battle between humans and machines over creativity. It’s a structural shift that puts the entire artist economy at risk, and how we respond will determine if AI expands opportunities or quietly erodes them.

Source: AI Can Write a Song. It Can’t Build a Career.