About this Event
Find tomorrow’s hit songwriters before the market does.
The Music Publishing AI Conference brings senior creative, data, and executive leaders together in NYC to explore how AI is reshaping the way music publishers discover, evaluate, and invest in songwriting talent.
This is a practical, peer-driven event focused on how publishers are actually using data and AI to make better creative and commercial decisions—earlier and with more confidence.
This conference solves three critical pain points in music publishing today:
- You’re discovering songwriting talent too late
By the time a writer shows obvious traction, competition is high and leverage is gone. Learn how publishers are using AI signals and early indicators to spot emerging songwriting talent before breakout moments. - Creative decisions rely too heavily on gut feel—or lagging metrics
Streams and charts show what already happened. This event focuses on forward-looking signals, AI-driven pattern recognition, and how creatives and data teams collaborate to quantify momentum without killing creative intuition. - Data exists—but isn’t embedded into creative workflows
Many teams have access to data but struggle to operationalize it. Hear real workflows from Creative Directors, A&R leaders, and data teams on how AI tools are integrated into daily decisions, deal evaluations, and catalog strategy.
What to expect
- Role-specific panels grouped by job function: Creative leadership, A&R, data/research, and founders
- Practical discussions, not hype—real tools, real signals, real decision frameworks
- Peer learning with professionals facing the same creative and commercial pressures
- High-value networking with publishers shaping the next decade of songwriting discovery
This is not a vision-talk conference.
It’s a working session for music publishers who want to identify talent earlier, measure success smarter, and stay competitive in an AI-driven industry.
Event Venue & Nearby Stays
99 Water St, 99 Water Street, New York, United States
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