A profile of Spotify's Head of Editorial Sulinna Ong, whose team curates thousands of playlists and discovers new artists to complement Spotify's algorithms
Anne Steele / Wall Street Journal :
Context & Ripple Effects
Spotify has long paired editorial judgment with automated discovery: its earlier work on Discovery Weekly’s human-and-algorithm approach and coverage of playlist teams at major streaming services established curation as a core distribution layer, not merely a music-marketing function.
This profile puts Sulinna Ong’s team in that continuing system as Spotify also discusses AI recommendations and artist discoverability. The significance is the operational link between human programming, new-artist discovery, and the signals that shape listening journeys.
First-order effects
- Spotify’s editorial team remains a direct gatekeeper for playlist placement and early exposure for artists it identifies, alongside algorithmic recommendations.
- Ong’s organization supplies human selection and contextual programming where recommendation systems alone may not determine what is surfaced.
Second-order effects
- Artists, labels, and distributors have incentives to optimize releases and outreach for editorial consideration as well as algorithmic traction, because both routes can affect discovery.
- Spotify’s recommendation product can draw on a hybrid model rather than treating editorial and automated discovery as separate experiences; the company’s recent focus on AI recommendations and discoverability makes that coordination more consequential.
Third-order effects
- Streaming discovery is likely to remain a hybrid distribution market in which platform-owned editorial teams influence attention alongside ranking systems, concentrating leverage within the largest services.
- As AI-generated music expands, human curation may become more important as a quality and differentiation layer—but the profile alone does not show how Spotify will alter its editorial rules or artist access.
The trend: Music-streaming platforms are combining algorithmic personalization with human editorial control to manage discovery, differentiation, and the growing volume of available music.