This Week in Startups
This Week in Startups

E1087: Democratizing art as an asset class, indicators of a rapidly appreciating piece of art & more with Masterworks CEO & Founder Scott Lynn

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Featured Speakers

Jason Calacanis HostScott Lynn Guest

Topics Discussed

Episode Summary

Executive Summary: Jason Calacanis interviews Masterworks founder Scott Lynn about democratizing art investing. Lynn explains how Masterworks securitizes individual paintings, sells shares to retail/accredited investors, and uses data-driven art market analysis to identify works with attractive returns. The conversation covers art as an asset class, globalization, COVID’s impact, scarcity, transparency, and the long-term vision for tradable art portfolios and indexes.

Main Topics: Masterworks’ business model (Priority: 5/5): Scott Lynn describes how Masterworks buys paintings, securitizes them, and lets investors buy shares in individual artworks with a secondary trading market. Art as an investable asset class (Priority: 5/5): The discussion frames blue-chip art as a legitimate alternative asset with historical returns, low correlation to equities, and portfolio diversification benefits. Market transparency and data (Priority: 4/5): Lynn explains that internet-era price transparency, auction data, and proprietary return datasets have made art more legible to investors. Recency, scarcity, and artist selection (Priority: 5/5): The episode explores why more recent artists tend to have better returns, how scarcity affects valuations, and how Masterworks evaluates artists and works. COVID, globalization, and demand shifts (Priority: 4/5): They discuss how the pandemic affected auction volume but not necessarily prices, and how China’s growing share has boosted the market. Future of art finance (Priority: 4/5): Jason pushes the idea of institutional art securitization, public art funds, and eventual exchange-traded or index-like products.

Key Arguments: Art is a large asset class ($1.7T) but historically inaccessible because ownership required millions; securitization opens it to more investors. Blue-chip art has outperformed the S&P over the past 20 years with lower volatility, making it attractive for diversification. Art returns tend to follow recency: post-1970 art has far higher average returns than pre-WWII art. Transparency from auction data and datasets like ArtNet reduced information asymmetry and enabled investment analysis. COVID reduced auction volume but not prices; investor interest in alternatives increased during market uncertainty. Masterworks aims to create portfolio-like access to art, eventually enabling indexes or funds rather than only single-asset offerings. Scarcity matters because artists stop producing after death and supply declines over time, supporting long-term appreciation. The most successful art investing often depends on institutional support, gallery backing, and influential collectors. Art investing is best approached with a multi-year horizon, not a quick flip strategy. Masterworks is regulated via SEC filings and KYC, which the founders view as a transparency advantage over traditional art dealing.

Data Points: Art market size: $1.7 trillion - Lynn’s estimate of the total art asset class Annual art sales: $68 billion - Global annual art sales mentioned at the start of the interview Blue-chip segment share: 62% - Defined as art by the top 100 artists Blue-chip returns vs. S&P: Outperformed the S&P for the past 20 years - Lynn cites historical performance of blue-chip art Correlation with S&P: 0.14 - Citi research cited by Lynn showing art is nearly uncorrelated with equities China’s market share: Close to 0% to roughly 25% in 10 years - Growth of China as a buyer base in the art market Artist records in two weeks after auctions resumed: 20 artist records - Used to show post-COVID price strength Typical hold period: 3 to 7 years - Masterworks’ recommendation for art investors Average post-1970 art return: 11% per year - Bucket-level return estimate for art created after 1970 Monet annual sales: $400M to $500M - Example of Monet’s scale and liquidity Monet return volatility: 6% to 7% standard deviation - Used to illustrate predictability of established artist markets Jackson Pollock drip paintings remaining in private collections: 21 - Example of shrinking supply and scarcity Da Vinci sale price: $450 million - Referenced as the most expensive painting ever sold Potential Mona Lisa valuation: Could be a $1 billion painting - Jason and Scott speculate on top-end value Masterworks current platform investors: 50,000+ - Estimated size of the investor base Masterworks artworks securitized: 18 or 19 - Number of paintings offered on the platform at the time Average painting size on platform: $3M to $4.5M - Current target range of works Masterworks focuses on Average investor check size: $4,000 to $5,000 per painting - Typical participation amount in an offering Average investor total allocation: $25,000 across multiple paintings - How much active users may spread across offerings Fee structure: 1.5% management fee and 20% carry - How Masterworks earns revenue Public-return dataset: 80,000 paintings - Historical dataset built from auction catalogs Research intern project scope: 1950 through 2020 - Auction catalogs manually analyzed for returns data Top 100 artists with negative returns: 3 artists - Damien Hirst, Murakami, and Jeff Koons over the past 20 years Blue-chip loss rate: About 10% - Probability that investors lose money in blue-chip art Magnitude of loss: 20% to 30% - Typical downside when blue-chip investments lose

Pivotal Quotes: "We were the first company to securitize a painting." — Scott Lynn: Explaining Masterworks’ core innovation and business model "Investing in art is sort of like buying a call option on the ultra-wealthy." — Scott Lynn: Describing the thesis behind art price appreciation "If you really believe in a world where you're making work for it to be experienced, then you don't want to be selling paintings into, frankly, ultra-wealthy households scattered across the world." — Scott Lynn: Arguing that securitization can keep art publicly accessible

Implications: The episode suggests art is becoming a more data-driven, liquid alternative asset. If Masterworks scales, listeners may see art portfolios, funds, and eventually broader institutional participation, with greater transparency and retail access.

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About This Week in Startups

Jason Calacanis covers startups, tech, markets, media, and all the hottest topics in business and technology. He also interviews the world’s greatest founders, operators, investors, and innovators.

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