[THESIS]FEBRUARY 26, 202616 MIN READ

The Asset Class You're Ignoring: A Case for Creative Capital

The Asset Class You're Ignoring: A Case for Creative Capital

In 1997, David Bowie did something no musician had ever done. He securitized himself. Bowie issued $55 million in asset-backed securities — "Bowie Bonds" — collateralized by the future royalty streams of his first 25 albums. Prudential Insurance bought the entire issuance. Moody's rated it A3. The bonds paid 7.9% annually, and Bowie used the proceeds to buy back his master recordings from a former manager.

Wall Street treated it as a curiosity. A novelty. The financial press covered it the way they'd cover a celebrity launching a wine label — interesting, but not serious.

That was a $55 million deal in a market that didn't yet exist.

Twenty-eight years later, the market exists. In 2024, Recognition Music Group — the entity formerly known as Hipgnosis Songs Fund, now backed by Blackstone — issued $1.47 billion in asset-backed securities collateralized by a catalog of 45,000 songs. KBRA rated it A. Concord followed with a $1.77 billion ABS backed by rights from The Beatles, Beyoncé, Pink Floyd, and Taylor Swift — the largest music rights securitization in history.

From $55 million to $1.77 billion. From novelty to institutional asset class. In less than three decades.

And yet most capital allocators are still watching from the sidelines, applying frameworks built for real estate, SaaS, and semiconductors to an asset class that doesn't behave like any of them — and is repricing faster than any of them.

This is not an article about getting invited to the Grammys. It's about what happens when an asset class this large, this durable, and this mispriced enters the window where the smart capital has a structural advantage over the capital that arrives later.

The Numbers That Should Concern You

Private equity has deployed an estimated $1.2 trillion toward creative assets over the past decade. That figure includes music catalog acquisitions, film and television IP, gaming studios, creator economy platforms, and design-driven consumer brands.

The scale is institutional. The structures are mature. And the returns are outperforming benchmarks that most allocators consider reliable.

$1.77BLargest music rights securitization in history — Concord ABS, 2024
15–30xPremium music catalog valuations, up from 8–12x a decade ago
$23B+Global streaming revenue in 2024, with 15%+ CAGR since 2016

Consider what's happened since Bowie's experiment. Music catalog valuations have risen from 8–12x annual net publisher's share to 15–30x for premium catalogs. Streaming revenue — the engine underneath those multiples — grew globally from $6.8 billion in 2016 to over $23 billion in 2024, with compound annual growth rates exceeding 15%. Unlike advertising-dependent media revenue, streaming income is subscription-based, recurring, and geographically diversified. A song written in 1975 generates royalties in 190 countries simultaneously, with no additional production cost, no marginal distribution expense, and no customer acquisition investment.

These are the fundamentals that led Blackstone — the world's largest alternative asset manager, with $1.1 trillion under management — to acquire Hipgnosis Songs Fund and immediately securitize its assets at investment-grade ratings. Not as an experiment. As an infrastructure play.

But music is only the most liquid corner of a much larger repricing event. The creative economy is restructuring across every vertical, and the capital that understands where value actually concentrates — and why — will capture the asymmetric returns.

Photo by Breakwater M&A via Google

The Repricing Event

Three forces are converging to reprice creative assets across industries. Capital allocators who understand all three will position correctly. Those who see only one or two will misallocate.

Force 1: Creative output is financializing.

The transformation of creative work from expense line to investable asset is happening at institutional scale. Music catalogs generate asset-backed securities with investment-grade ratings. Film libraries serve as collateral for debt facilities. A24 — an independent studio that has never exceeded 2.5% of annual U.S. box office — secured a $3.5 billion valuation in 2024, a 40% increase from its $2.5 billion valuation just two years prior. Not on revenue multiples. On the compounding value of a curated library and a brand that attracts talent willing to work below market rate for the creative latitude the studio provides.

Beast Industries — MrBeast's holding company — raised capital at a $5 billion valuation in 2025 on combined revenues exceeding $473 million. The company's architecture is instructive: a central creative engine (YouTube content) drives audience, which feeds consumer products (Feastables, Lunchly), media licensing (Amazon Prime), and an expanding platform of creator tools. Every vertical reinforces the others. The flywheel is Walt Disney's 1957 sketch redrawn for the algorithmic age, and the valuation reflects the compounding dynamics that creative ecosystems produce when structured correctly.

Taylor Swift's Eras Tour grossed $2.08 billion in ticket sales — the highest-grossing tour in history — and added an estimated $4.3 billion to U.S. GDP. But the more revealing data point is what Swift did with the proceeds: she reportedly used her touring income to repurchase her master recordings for approximately $360 million, consolidating ownership of her entire catalog. Her net worth, driven primarily by music ownership and performance, now exceeds $2 billion according to Bloomberg. She reached billionaire status based on songwriting and performing alone — no tech equity, no inherited wealth, no financial engineering beyond the fundamental act of owning what she created.

These are not outliers. They are early indicators of a structural repricing.

Force 2: AI commoditizes execution, concentrating value in discernment.

This is the force most capital allocators underweight, and it is the most consequential.

AI is collapsing the cost of creative production. What required a team of twelve and six weeks in 2020 requires a team of three and ten days in 2026. Image generation, video production, music composition, code development, copywriting — the execution layer of creative work is approaching commodity pricing.

The instinct from a capital allocation perspective is to invest in the AI tools themselves. That's a reasonable bet with a crowded field and compressing margins. The less obvious — and higher-returning — bet is on what AI cannot commoditize: the judgment that determines what gets made, for whom, and why it matters.

Compensation Gap: Execution vs. Discernment in Creative Fields
Top creative directors
40–70x median
Senior specialists
10–20x median
Mid-level creatives
3–5x median
Execution-layer workers
1x (median)

The data supports this. In advertising, the compensation gap between median creative professionals and top-tier creative directors approaches 40–70x. That gap doesn't reflect execution ability. It reflects discernment — the capacity to sense where culture is moving before the data confirms it, to define new quality standards rather than merely recognize existing ones, and to make decisions under genuine uncertainty that retroactively appear inevitable.

This is where spreadsheet-driven capital allocation breaks down. The pattern-matching that works for SaaS metrics, real estate comps, and semiconductor cycles does not capture what makes a creative asset valuable. The inputs that matter — taste, cultural timing, prognostic ability — are intangible by definition. They don't appear in your models. They're the reason your models are wrong.

The returns are in the discernment, not the production.

Consider A24's investment thesis in a filmmaker. The studio doesn't run audience surveys or test screen concepts before greenlighting. It bets on creative vision — a filmmaker's capacity to make something that audiences don't yet know they want. A Ghost Story cost $100,000 to produce and grossed nearly $2 million — a 20x return generated entirely by curatorial judgment, not by market data. Everything Everywhere All at Once won Best Picture on a budget that most studio marketing departments spend on a single campaign.

Force 3: Capital is restructuring from time-based to outcome-based models.

Ben Affleck and Matt Damon's Artists Equity represents a structural innovation in how creative talent participates in value creation. The model provides below-the-line crew — editors, cinematographers, production designers — with profit participation in the films they make. This isn't philanthropy. It's an alignment mechanism. When the people making creative decisions share in the economic outcomes of those decisions, the quality of the decisions improves. The returns follow.

This restructuring is happening across the creative economy. Equity-for-services arrangements, where creative professionals accept reduced fees in exchange for ownership stakes, are replacing flat project fees. Revenue share partnerships are replacing work-for-hire contracts. Royalty structures, IP licensing with performance escalators, and vesting equity arrangements are proliferating — driven by the same economic logic that shifted tech compensation from salary to stock options two decades ago.

For capital allocators, this restructuring creates both risk and opportunity. The risk: legacy deal structures that extract value from creative talent are becoming less tenable as talent gains information and alternatives. The opportunity: aligned structures — where creative judgment and economic participation are coupled — produce better creative outcomes and, consequently, better returns.

Photo by Nataliya Vaitkevich via Pexels

Attention Is Noise. Discernment Is Signal.

Most capital flowing into the creative economy is chasing attention. Follower counts. View metrics. Engagement rates. This is understandable — attention is measurable, and measurability is comfortable.

It is also a trap.

Attention is abundant and getting more so. Every platform is optimized to produce it. Every algorithm is designed to capture it. The supply of attention-generating content approaches infinity. And as with any asset where supply approaches infinity, the value of any individual unit of attention approaches zero.

The scarce resource is not attention. It is discernment — the ability to determine what is worth attending to. In an environment saturated with content, the premium accrues not to those who generate the most noise but to those who signal what matters. The curator, not the creator. The creative director, not the content producer. The person who knows what to make, not the person who can make it faster.

An attention-based thesis chases the next viral creator. A discernment-based thesis identifies the structures, teams, and decision-making architectures that compound creative judgment into durable asset value. One is a lottery ticket. The other is an investment strategy.

The In Sequence Thesis

This distinction has profound implications for how creative assets should be valued.

An attention-based investment thesis looks at MrBeast and sees 435 million subscribers. A discernment-based thesis looks at MrBeast and sees a holding company architecture where creative judgment compounds across multiple business verticals — where the same curatorial instinct that identifies which video concept will perform also identifies which product line will resonate, which talent to partner with, which market to enter next. The subscribers are an output. The judgment is the asset.

An attention-based thesis looks at Taylor Swift and sees touring revenue. A discernment-based thesis sees an artist who understood — before the market did — that owning master recordings was more valuable than any royalty rate, who re-recorded her catalog to reclaim value, and who structures every creative decision around long-term asset ownership rather than short-term revenue maximization.

The Power Law Problem

Creative asset returns follow power law distributions. This is not new information. What is underappreciated is why the power law operates — and what it means for investment strategy.

In most asset classes, power law dynamics emerge from scale effects, network effects, or capital concentration. In creative assets, they emerge from something more fundamental: taste.

The films that generate 90% of industry returns are not the films with the largest budgets, the biggest marketing spends, or the most sophisticated distribution strategies. They are the films that correctly anticipated what audiences would want — often before audiences could articulate it themselves. The same pattern holds in music, in fashion, in gaming, in design.

This means that creative asset power laws cannot be captured through portfolio diversification in the traditional sense. Spreading capital across twenty undifferentiated projects does not replicate the returns of one project guided by exceptional discernment. The strategy that works in venture capital — broad portfolio, accept high failure rates, let winners compensate for losers — works less well in creative investing because the factor that determines which project wins is not primarily capital, technology, or market timing. It is taste.

90%Of industry returns generated by a fraction of creative projects
20xReturn on A24's A Ghost Story — $100K budget, $2M gross
$2.08BTaylor Swift's Eras Tour gross — highest in history

This is the fundamental challenge for capital allocators, and it is the reason most institutional creative investment underperforms: the critical input is qualitative, subjective, and cannot be captured in a diligence model. The allocator who builds a spreadsheet comparing twenty film projects on budget, genre, cast attachment, and comparable performance will, on average, select projects that perform to average. The allocator who identifies and backs the creative decision-maker with exceptional discernment will access the power law.

Bowie understood this. So did the A24 founders. So does Taylor Swift. The financial structures are important — ABS, equity, revenue participation, all of it matters — but the structures are just containers. What goes inside them is judgment. And judgment is the scarce asset.

Photo by CNBC via Google

The Multi-Generational Thesis

Creative assets have a temporal dimension that most asset classes lack.

A Beatles song generates royalties sixty years after it was recorded. "Bohemian Rhapsody" earns more per year now than it did in the 1970s. The works of Shakespeare, though not under copyright, generate billions annually through adaptation rights, theatrical productions, educational licensing, and derivative works. Disney's original animated films, most produced before 1970, remain among the company's most valuable IP.

This is not sentimental. It is economic. Creative assets that achieve cultural durability generate compounding returns on a timeline that extends beyond virtually any other asset class. A commercial building depreciates. A technology patent expires. A SaaS product faces disruption. A song that enters the cultural canon appreciates — because the demand for culturally resonant work compounds as populations grow, as new distribution channels emerge, and as derivative uses multiply.

A commercial building depreciates. A technology patent expires. A SaaS product faces disruption. A song that enters the cultural canon appreciates.

For family offices and multi-generational capital, this temporal dimension is profoundly aligned with investment mandate. Creative assets that are selected with genuine discernment — not chasing trends but identifying durable cultural value — can produce income streams that outlast the allocator, the fund, and the generation that made the investment.

The liquidity infrastructure is maturing. Music catalogs can be securitized. Film libraries can be collateralized. Creator holding companies can IPO. The exit paths that institutional capital requires are emerging precisely as the underlying asset class is repricing.

What This Requires

Deploying capital into creative assets effectively requires something that most institutional investors are structurally bad at: trusting qualitative judgment.

The due diligence framework for a music catalog acquisition can be quantified — royalty streams, streaming growth rates, catalog age, geographic diversification. These are the inputs that generate A-rated bonds. But the decision about which catalog to acquire, which creator to back, which creative team to fund — that decision is irreducibly qualitative.

This is not a weakness of the asset class. It is the source of the alpha.

If creative asset returns could be predicted by quantitative models, the returns would be arbitraged away. The inefficiency — the persistent, structural inefficiency — exists precisely because the critical input resists quantification. The allocator who develops the judgment infrastructure to navigate this inefficiency — who builds relationships with creative decision-makers, who learns to evaluate discernment rather than dashboards, who understands that the spreadsheet is necessary but radically insufficient — that allocator accesses returns that the spreadsheet-only allocator cannot.

The window is now. The asset class is repricing. The infrastructure is maturing. The capital that deploys with both financial sophistication and creative discernment over the next decade will capture the asymmetry.

The capital that waits for the spreadsheet to confirm the opportunity will arrive after the repricing is complete.

Production commoditizes. Discernment becomes scarce. Capital follows scarcity.

The question is whether your capital follows first.

Written by
Neil Brown
Neil Brown

Operator, strategist, advisor, investor. Neil Brown has worked across agencies, ventures, funds, and private capital for two decades — then spent a year driving 20,000 miles across the U.S. researching why the creative economy is restructuring beneath everyone's feet.

[THE LIBRARY]

35 deal structures for creative professionals building ownership.

This article references Structure 14 and Structure 9 and Structure 17 and Structure 26 from the In Sequence library. The full collection maps the progression from execution-based to ownership-based compensation.

35 StructuresComplete deal templates with real terms
4 StagesMapped progression from fees to ownership
Case StudiesPractitioners who made the transition
Risk ProfilesEach structure rated for risk and leverage