
The AI Double Bind: Mandated to Use It, Watermarked When You Do, Accused When You Don't Use It
Companies now require AI use, vendors are watermarking every output, and good writers are being told they sound like a machine. This scenario could even be called a triple bind or catch-22. A deep look at how AI systems are built, where the data risk really sits, why restrictive policies create the exposure they fear, why returns flatten, what watermarks and detectors can and cannot prove, and what acceptable use might look like by 2030.















