Josh Baker’s AI Workflow Secrets: Why Music Makers Are Delegating to Machines

The Real Reason Top Producers Are Betting on AI Workflows

Let’s cut through the hype: when Josh Baker talks about AI in music, he’s not peddling some dystopian fantasy. The Manchester producer—fresh off sold-out shows and viral live visuals—treats machine learning like another session musician. One that never sleeps, never complains, and somehow always delivers stems by breakfast.

Workflow or Die Trying

Baker’s new single ‘Feel This Way’ wasn’t crafted in some romantic all-nighter. It was built through ruthless efficiency:

• AI-assisted sound design that shaved 20 hours off his usual process


• Automated stem separation for instant remix potential


• Algorithmic arrangement suggestions that “sometimes actually don’t suck”

The Delegation Revolution

“People think AI means losing control,” Baker tells me over Zoom, his studio’s LED strips casting that signature producer-blue glow. “But the smart ones realize it’s about choosing your battles.” He’s referring to:

• Letting machines handle tedious tasks (gain staging, session prep)


• Reserving human creativity for emotional pivots


• Using AI as a “really opinionated intern” for sound selection

Why The Industry Isn’t Ready For This Shift

Here’s the dirty secret: most labels still view AI as either a threat or a marketing gimmick. Meanwhile, Baker and his ilk are quietly:

• Cutting production timelines in half


• Doubling output without burnout


• Creating custom tools that may never hit the mainstream

The real question isn’t whether AI belongs in music—it’s whether you can afford to ignore how the pros are already using it.