Shulman said on the 20VC podcast said: “It’s not really enjoyable to make music now. It takes a lot of time, it takes a lot of practice, you need to get really good at an instrument or really good at a piece of production software. I think the majority of people don't enjoy the majority of the time they spend making music."

Of course they don’t. That takes talent, ability and practise and the ability to make a product that music companies can sell to an increasingly bored and musically illiterate public.

He said his company was not out to make creators 10 percent faster or make it 10 per cent easier to make music.

“If you want to impact the way a billion people experience music you have to build something for a billion people,” Shulman said.

This sounds like you write something which is the same as everyone else and fails to make any waves.  While this is a tragedy for music, it creates a niche for AI which is dependent on a database of existing tracks.

Shulman’s  Suno AI works like other popular generative AI tools, allowing users to generate music by writing text prompts describing the kind of music they want to hear. Also like many other generative AI tools, Suno was trained on heaps of copyrighted music it fed into its training dataset without consent, a practice Suno is currently being sued for by the recording industry.

In the interview, Shulman says he's disappointed that the recording industry is suing his company because he believes Suno and other similar AI music generators will ultimately allow more people to make and enjoy music, which will only grow the audience and industry, benefiting everyone.

That may end up being true and could be compared to the history of electronic music, digital production tools, or any other technology that allowed more people to make more music.

Meanwhile, old farts like me can be faintly amused as Generation Z kids film themselves on YouTube being gobsmacked by the music of the 60s, 70s and 80s.