In October 2021, someone breached Twitch and dumped its creator payout records onto the internet. For the first time, anyone could see the numbers the platforms keep internal, sorted top to bottom.
The top 1% of creators took nearly 60% of the roughly $889 million Twitch had paid out. The majority of streamers who qualified to get paid at all had earned less than $120. Not monthly. Total.
That is not a Twitch problem. Pull the same data on Spotify, Gumroad, Patreon, or YouTube and you get the same curve. The most open media system ever built produces an income distribution more lopsided than the gatekept economy it replaced.
I spent the last several months figuring out why, and the answer traces back to a 1981 economics paper about opera singers. I’ve just published the full findings as a long-form essay called The Superstar Tilt. This post is the short version: what the Tilt is, why no platform has ever flattened it, and what it means if you’re routing real budget through creators.
What is the Superstar Tilt?
The Superstar Tilt is the structural force that combines winner-take-most audience preferences with cheap, infinite reach, converting small differences in quality into massive differences in reward. The term comes from a dynamic the economist Sherwin Rosen described in his 1981 paper “The Economics of Superstars,” decades before YouTube existed.
Rosen identified two conditions. First, imperfect substitution: audiences want the best, and no quantity of second-best adds up to it. A hundred mediocre opera singers don’t sum to one great performance. Second, joint consumption: technology that lets one performer reach a nearly limitless audience at almost no additional cost per person.
Put those together and tiny gaps in talent produce enormous gaps in income. The performer who is a hair better than her rivals doesn’t earn a hair more. She earns most of the market.
Every reach technology has steepened this curve. Radio did it. Television did it. And in 2007, when YouTube attached real money to attention and pointed a recommendation algorithm at it, the curve went nearly vertical. The algorithm doesn’t just allow the best content to reach everyone. It hunts for the best-performing content and forces it on the largest possible audience, billions of times a day.
The creator middle class never arrived (and won’t)
In 2020, investor Li Jin argued in the Harvard Business Review that the creator economy needs a middle class, and that platforms could build one by distributing exposure differently.
The data says otherwise. Patreon was engineered to be the anti-Tilt: direct fan payment, no algorithm deciding who eats. Yet only a small fraction of Patreon creators earn minimum wage. Rosen’s insight doesn’t need an algorithm to operate. Give people a free choice of whom to support and they cluster around the few they already love.
By most surveys, only around 12% of full-time creators clear $50,000 a year, and nearly half earn under $1,000 annually from their creative work. That direction has barely moved in years, despite an explosion of monetization tools.
This matters to brands because the “middle class” framing suggests a broad field of interchangeable mid-tier options at reasonable prices. The reality is the opposite, and misreading it is expensive.
Reach and trust sit on two different curves
Here’s the part the doom framing misses, and the reason the essay exists: the Tilt concentrates reach, but it does not concentrate trust.
Reach piles up at the top, where superstars command audiences of millions and charge accordingly. Trust scatters down the slope, into thousands of smaller creators whose audiences actually believe them. The engagement data has been telling this story for years. Mega-influencers routinely post engagement rates below 1%. Micro-influencers in the 10K to 100K follower range regularly hit 3% to 6%.
The same force that makes the top unaffordable makes the middle undervalued. A brand that only understands half the Tilt overpays for reach at the peak. A brand that understands both halves knows the peak is where reach lives and the slope is where trust lives, and buys accordingly.
I saw this from both sides of the table across a decade-plus at Amazon Music, Twitch, and Pandora, building audiences on the very platforms the essay dissects. The brands that win don’t treat creators like billboards. They buy credible human judgment from people whose audiences consult them rather than merely react to them. That buying discipline is the core of our content and creator marketing work.
Three moves for brands operating on the Tilt
The full essay closes with three operating implications. In brief:
Diversify, and buy against the Tilt. Buy reach at the top only when you need scale, and know you’re paying a premium. Run the real money down the slope, across fifteen or twenty trusted mid-tier creators instead of the three biggest names. It costs less, converts better, and hedges you.
Read every lease. Every creator is a tenant on land they don’t own, and every campaign built on their audience is a sublet. Vine’s collapse and YouTube’s Adpocalypse both proved it. Favor creators with owned distribution (an email list, a community that travels) and price platform risk into every deal.
Learn to price the Taste Premium. The most valuable signal isn’t follower count. It’s the comments. Is the audience consulting this person (“I bought this because you said to”) or just reacting (“fire,” “first”)? Same follower count, completely different asset. No dashboard shows you this. You have to read it yourself.
Read the full essay
The full piece runs about 28 minutes and covers the ground this post can’t: the mommy bloggers who invented the industry before it had a name, the 2007 decision that built the Tilt, why AI makes superstars cheaper but can’t manufacture the one thing audiences are actually buying, and how to evaluate creators before you commit budget.
Read it here: The Superstar Tilt →
Prefer to read it in your inbox or listen along? It’s also on Substack, where you can subscribe to get the next one delivered:
Frequently asked questions
What is the Superstar Tilt?
The Superstar Tilt is the structural force in the creator economy that combines winner-take-most audience preferences with near-zero-cost infinite reach, converting small differences in creator quality into massive differences in income. The term was coined by David Hampian of Field Vision, building on Sherwin Rosen’s 1981 paper The Economics of Superstars.
Why is creator economy income so unequal?
Because audiences prefer the best over any quantity of second-best (imperfect substitution), and platforms let the best reach everyone at almost no marginal cost (joint consumption). Recommendation algorithms amplify both conditions, so the top 1% of creators capture the majority of payouts on nearly every platform.
Will the creator economy ever develop a middle class?
Not through platform policy. Platforms built to route around the Tilt, like Patreon, still produce steep concentration. If a creator middle class emerges, it will come from brands deliberately spending down the curve on trusted mid-tier creators the headline metrics undervalue.
Should brands work with mega-influencers or micro-influencers?
Both, but for different jobs. Mega-influencers sell reach at a premium. Micro-influencers (roughly 10K to 100K followers) hold trust, with engagement rates of 3-6% versus under 1% at the top, and routinely stronger ROI. A portfolio weighted toward trusted mid-tier creators outperforms a single superstar bet.
Deciding where your creator budget should actually go? Book a strategy call and we’ll map your spend against the Tilt.