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Creator economy

Paid For Taste

As generated content turns endless and interchangeable, the scarce resource shifts to someone willing to say no, and audiences now pay for that judgement directly.

What is it?

A market for judgement itself: independent curators sell taste as a subscription, charging to say no to nearly everything so a reader doesn’t have to sift AI-generated abundance alone. Whether trust scales past the person who earned it stays open.

Why now?

Generated content collapsed toward free and interchangeable, so the scarce input flipped from making things to filtering them. AI can copy a curator’s taste into training data, but it cannot yet earn the trust a reader pays for. The gap between copying and earning is the whole opportunity.

Who’s building it?

Independent writers and curators building subscription newsletters, dependent entirely on platforms they don’t own.

Independent curatorsNewsletter platformsAI model providersMedia incumbentsSubscribers
The full read
Why now, who is building it, where the market goes, and what stays unsettled.
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01 · The market
Who’s in it
Builders — independent curators and the newsletter platforms hosting them.
Buyers — readers paying to skip the sifting themselves, trading money for trusted judgement.
Gatekeepers — platforms setting payout terms, and AI systems absorbing curators’ judgement for free.
What’s at stake
The same abundance that makes curation valuable also lets AI quietly absorb a curator’s judgement into training data, uncredited.
Trust concentrates in named people, not platforms or algorithms.
Scaling curation risks diluting exactly what buyers pay for.
What’s unsettled
Whether paid curation outruns AI’s ability to absorb it.
Whether platforms build real tools to formalise this market.
Whether a curator’s authority survives being copied without payment or credit.
02 · How the demand matureda progression, not a timeline
Discovery
Readers first find one curator worth trusting amid endless generated noise.
Habit
A subscription becomes routine — the filter replaces the reader’s own searching.
Pricing
Judgement earns a price tag once readers stop trusting platforms or algorithms to filter for them.
Category
Enough paid subscribers to justify formal curation tools, not ad hoc newsletter deals.
03 · Where the market goesthe forks, not a prediction
→Consolidation or fragmentation — decided by whether platforms build formal curation tools or leave it to ad hoc subscription deals.
→AI systems may absorb curators’ judgement into training data faster than trust can compound.
→Incumbent media brands could buy proven curators rather than compete against their independent authority.
→Value could concentrate in the platform hosting subscriptions, not the curator earning them.
Everything here turns on generalisation: whether a following built on saying no to nearly everything scales past the one person who first built it.
04 · The Taste Economy deskadjacent markets, moving now
The Taste Graph
Recommendation engines build explicit maps of each user’s taste.
Pinterest’s Ask Pinterest app draws on its Taste Graph of interests and aesthetics.
TechCrunch
The Taste Broker
Independent curators turn subscriptions into a business model.
Substack passed 5 million paid subscriptions (March 2025).
Tubefilter
Machine Taste
Algorithms now narrate curated playlists, not just rank them.
Spotify’s AI DJ curates and narrates a personalized playlist.
TechCrunch
05 · The Wire
01
Judgement gets pricier.
lokol (Substack) ↗
02
Substack keeps climbing.
That Random Agency ↗
03
Three of Substack’s UK top ten paid newsletters are food titles
Press Gazette ↗
The panel on this signal
They agreed on
–Curation earns real money because content abundance makes human judgement scarce, not because content itself became rarer.
–Trust is migrating from platforms toward named individuals.
–AI absorbs curators’ judgement into training data without attribution, undercutting the same skill it rewards.
The creator-economy analyst disagreed on
–Curatorial trust built on a personal, selective following has historically weakened as a subscriber base grows large enough to require broader, less individually considered recommendations; scaling this model risks diluting the exact judgement subscribers are paying for.
Know more about the method →
✦How this signal was built
01 · Panel
A Delphi panel of 4 AI analysts, each reasoning independently.
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02 · Debate
They challenge and revise each other’s reads over two rounds.
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03 · Evidence
Every claim is tied to a cited, linked source on The Wire.
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04 · Synthesis
A moderator writes it into one read, disagreement and all.