Strategic foresight · culture · AI · discovery

AI as Cultural Gatekeeper: Who Shapes What We Discover in 2035?

A foresight case study on what happens when cultural discovery moves from search engines, critics, bookshops and platforms into conversational AI.

The question

What could change if AI assistants become a primary interface through which people discover books, films, music, art, news and cultural experiences?

Core insight: cultural power may shift from visible intermediaries to a less visible layer of models, retrieval systems, ranking rules, licensing agreements, citations and conversational defaults.

Signals I scanned

Interface shift

Conversational systems increasingly combine search, recommendations and source retrieval in one interface.

Private access deals

Licensing arrangements can influence what content is available to AI systems and how it is surfaced.

Cultural representation

Language coverage, training data and model defaults can shape which cultural frames are easy to retrieve and which remain peripheral.

2035 scenario matrix

Opaque / default-led
Auditable / user control
Concentrated infrastructure
Canon by Default
Few assistants become the normal cultural gateway.
Transparent Oligopoly
Concentrated systems, but meaningful auditability and controls.
Plural / interoperable ecosystem
Fragmented Fog
Many systems, weak comparability and uneven standards.
Curatorial Commons
Plural infrastructure with interoperable, inspectable discovery.

Strategic move

Create a cultural discoverability observatory for AI: periodically audit cited sources, languages, countries, independent creators, synthetic content, attribution and the controls users actually have.

Scenarios are analytical constructs, not forecasts. This is an independent, AI-assisted portfolio case study.