Critics Call Current Copyright and AI Models Unsustainable

Online discourse regarding AI training data increasingly characterizes both current copyright frameworks and unlicensed model training as unsustainable systems. A prominent commentary posted on Bluesky argues that billion-year effective copyright terms represent feudalism while describing unrestricted AI data ingestion as robber baron capitalism. The statement asserts that neither extreme offers a viable future for creativity, advocating instead for comprehensive intellectual property reform. This perspective reflects growing frustration among stakeholders who view existing legal structures as inadequate for addressing generative technology challenges. Critics contend that perpetual copyright protection stifles innovation similarly to how unregulated scraping undermines creator compensation. The argument suggests policymakers must reject false dichotomies between protecting rights holders and enabling technological progress. Such viewpoints indicate shifting sentiment toward structural legislative solutions rather than litigation-based resolutions in the ongoing debate over artificial intelligence and creative labor.