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Creator economy

The Taste Broker

As the machine drowns the world in options, the human who can say this one turns judgment into a paying trade.

What is it?

The Taste Broker is a person, or a small trusted account, whose single call — this one, not that — stands in for research you don’t have time to do, sold as a subscription. Whether that judgement scales past one person is the open part.

Why now?

Generative tools made competent output cheap and abundant, so the scarce resource flipped from access to judgement — knowing which of a thousand adequate options is actually right. That shift ties straight to cognitive abundance: machines can produce almost anything now; they still can’t tell you which one to want.

Who’s building it?

Individual curators and small teams build the judgement; platforms and payment rails carry the distribution beneath them.

Independent curatorsNewsletter platformsRecommendation algorithmsSubscription railsBrand editorial teams
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 — individual curators, newsletter writers, and small editorial teams.
Buyers — time-poor people facing too many good options across every category to sort alone.
Gatekeepers — platforms, payment processors, and the algorithms that decide who gets seen.
What’s at stake
The trust a broker sells is personal — one bad call, or one paid placement, breaks it.
Distribution concentrates fast around whoever earns trust first.
Scale is the enemy of the judgement being sold.
What’s unsettled
Whether taste transfers, or only ever belongs to one person.
Can a recommendation feel earned once it’s openly paid for?
Whether platforms absorb the curators, or the curators end up owning the audience.
02 · How the demand matureda progression, not a timeline
Discovery
One picker gets noticed for saying this one, clearly, in public.
Following
A following forms around the call being right more often than not.
Monetisation
The picker starts charging — a fee, a cut, a paid placement — and the audience pays anyway.
Category
Enough of these relationships exist that curation becomes its own recognised trade.
03 · Where the market goesthe forks, not a prediction
→Consolidate or fragment — a handful of trusted names take most of the paid attention, or the trade stays wide open and low-stakes.
→Platforms may formalise the role — verified pickers, paid placement, a visible cut for the platform.
→Brands could buy the broker’s judgement directly, folding curation back into marketing spend rather than leaving it independent.
→Or the machine catches up, and human judgement stops being the scarce part.
Every fork here assumes the trust stays real, not rented. The open question: does a paid pick stay a recommendation, or quietly become an ad?
04 · The Taste Economy deskadjacent markets, moving now
The Taste Graph
Algorithmic curation, the broker’s opposite
Spotify’s Taste Profile shows listeners the model behind their recommendations.
The Next Web
Machine Taste
AI curates and narrates personalised choices for you
Spotify’s AI DJ curates and narrates a personalized playlist.
TechCrunch
The Human API
Human judgement, packaged and sold as infrastructure
Meta took a $14B stake in Scale AI (2025).
CNBC
05 · The Wire
01
Substack passed 5 million paid subscriptions (March 2025).
Tubefilter ↗
02
Substack’s top 10 writers earn over $100M a year combined.
Substack (Chris Best) ↗
03
Tech figures say taste is the next sought-after skill
Fortune ↗
The panel on this signal
They agreed on
–All four saw judgement becoming a paid, visible role as machine output flooded every category with adequate options.
–The role monetises fastest through subscriptions, not one-off tips.
–Trust, once built, is the actual asset — more durable than any single platform.
The creator-economy analyst disagreed on
–Trust-based monetisation correlates inversely with audience size in most creator-economy data; the model may only function below a subscriber threshold where a personal reply stays credible.
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.