The question isn't whether AI can make a catchy track. It's whether streaming platforms can justify adding millions of computationally expensive files to an already carbon-heavy system. Data centers already use roughly 1 to 2 percent of global electricity, and AI training and inference are pushing that higher, plus water for cooling. The other side is right that the tech is impressive, but impressive isn't the same as sustainable. Platforms should be reducing load and protecting human artists, not flooding catalogues with low-effort AI content that crowds out real music while adding emissions.

The problem is scale. My opponent says there's no harm because an AI song could spread joy, and sure, a single uplifting track might. But streaming platforms work at industrial scale: millions of generated files stored, streamed, and cooled in data centers already using 1 to 2 percent of global electricity. That joy comes with a measurable emissions cost, and it crowds out human artists competing for the same playlists. If the goal is encouragement, real musicians can deliver it without adding compute-heavy catalogues. The other side's best case is a nice song. Mine is a system already under climate pressure.

I'll grant the other side one thing: a human writes the prompt, so responsibility isn't zero for people. But that doesn't change the physics. A prompt doesn't erase the compute behind generation, storage, and streaming, and platforms run this at catalog scale, not one joyful track. Data centers already use 1 to 2 percent of global electricity, plus water for cooling. If platforms must add millions of files, they're choosing extra emissions and crowding out human artists. Blaming users misses the actual gatekeeper: the platform deciding what belongs in its catalogue.