Sacramento Kings owner Chris Kelly: Bitcoin, Scarce Sports Assets, and the New Paradigm of Tokenization

Chris Kelly
co-owner of the Sacramento Kings

Original Statement

1. Asset Allocation Philosophy: The "Dumbbell Strategy" of Bitcoin and Professional Sports Teams • Anti-inflation and Sovereign Hedge: Viewing Bitcoin as a core tool against the depreciation of fiat currency (Debasement). In the long cycle of global liquidity easing and excessive monetary issuance, digital native assets with non-sovereign attributes, decentralized consensus, and a hard cap on supply form an extremely solid global value storage anchor. • "Dumbbell" Balance of Physical and Digital Assets: • One end is decentralized digital assets (Bitcoin/Ethereum): highly liquid, borderless, accessible for settlement anytime and anywhere. • The other end is highly centralized physical scarce assets (professional sports franchises): characterized by strong illiquidity. This lack of short-term liquidity becomes a "protective mechanism" against panic selling, forcing capital to hold long-term across cycles and reap substantial asset appreciation. • Moat of Anti-Cyclical Attention: In an era of political polarization and information fragmentation, top sporting events remain a rare vehicle that can penetrate social layers and gather collective attention from society. This high-density emotional attachment and cultural debate endow franchises with a high psychological share (Mindshare) and pricing power. 2. Sacramento Kings: A Testing Ground for Tech Capital Transforming Traditional Sports • Countering External Capital Withdrawal: Years ago, a Seattle consortium (including Ballmer) attempted to acquire the Kings and relocate them from Sacramento, but Chris Kelly and other Silicon Valley tech-background shareholders successfully collaborated with local political and business forces to keep the team. Subsequently, Ballmer turned to acquire the Clippers, pushing the enterprise value of North American professional teams to a historic high. • "Full-Stack Technological" Transformation of the Arena: • The world's first LEED Platinum certified arena: Investment goes beyond the surface, delving into green energy and advanced building efficiency. • Embedded Tier 4 Data Center: The arena features a high-spec data center that not only supports the venue's digital interactions but also drives adjacent hotels, apartments, and commercial complexes, and directly engages in Ethereum network validation and mining practices early on. • "Real Estate + Commercial Complex" Provides Downside Protection: Acquiring a professional team is not just about buying a team but also holding real estate in the city's core area. Even if competitive performance fluctuates, the rental returns from hotels, apartments, and commercial real estate around the venue provide solid cash flow and risk hedging. 3. The Underlying Differentiation and Business Loop Behind the AI Computing Wave • Doubling of Giant CapEx and Commercial Validation: • Early market skepticism about tech giants (like Meta) significantly raising capital expenditures from $40 billion to $60 billion was alleviated when quarterly net profits reached $20 billion, showcasing the strong backing of such forward investments by solid balance sheets. • The core essence of giants lies in user growth analysis and the construction of top consumer-grade products. As versatile personal assistants (like Muse) are deployed, massive multidimensional data feeds back into high-level advertising precision targeting, rapidly closing the monetization loop. • The AI Efficiency Revolution and the Ultimate Gap in Human Brain Simulation: • The industry is currently striving to build giant AI computing centers with a scale of 1-2 GW, while the human brain processes highly intelligent and complex reasoning with only about 20 watts. • The theoretical demand for computing power is nearly infinite, but physical energy consumption has hard limits. Future breakthroughs in core technology will focus on brain science-inspired architectures to enhance computational efficiency and address black box illusions and explainability issues. • "Bidirectional Differentiation" of Model Commercialization Clientele: • First Type: Ordinary enterprises deeply bound to general cutting-edge models: As reasoning costs decline exponentially, although the price per token decreases, the frequency of calls experiences explosive growth, leading to astonishing net dollar retention rates (NDR) for leading foundational model providers. • Second Type: Professional institutions developing proprietary vertical models: Due to cost control and data privacy considerations, enterprises train their small models in specific business scenarios (like automated CFO financial systems), directly reducing computing costs by 97% and gradually breaking away from excessive reliance on general cutting-edge foundational models. 4. Blockchain Reconstruction in the Intelligent Era: Decentralized Trust Infrastructure • The Natural Network Base of AI Agent Swarms: • When autonomous agents can spontaneously collaborate, reproduce sub-instances, and execute unexpected strategies in complex networks, there must be an independent, traceable, and tamper-proof ledger to record the entire process. • Blockchain provides mechanisms for value settlement between machines, source tracing (verifying whether content is generated by humans, AI, or specific agents), and distributed auditing. • Primary Investment Layout in Hard Tech and Infrastructure Layer: • Alchemy: Positioning the core pipeline of RPC and node networks for Web3 developers. • Etched: Reinvesting in hardware ASIC chip innovation from seed rounds, solidifying dedicated computing hardware for specific Transformer architectures. • Zipline: Supporting autonomous drone logistics delivery, building critical aerial infrastructure connecting the physical world. 5. New Business Exploration: "Sports One" and Tokenization of Sports Asset Equity • Breaking the Exclusivity Barrier of Professional Sports: • Traditional professional sports franchises are only open to top billionaires and a few closed institutional funds, facing extremely lengthy league ethics and qualification reviews. • Ordinary investors and small family offices can hardly share in the appreciation of sports assets directly. • The Structured Operation Mechanism of "Sports One": • Asset Basket Construction: The initial plan anchors on acquiring minority stakes (3-5) in North America's four major leagues or top European football leagues, using this as a basis for tangible assets, providing a clear and transparent public valuation floor. • Dual Circulation Structure (Public Shell + Token): • Publicly Listed Company Stock (Public Equity): Merging with a public market shell company (Sono) to go public, targeting qualified institutions and large holders who prefer traditional securities markets. • On-chain Asset Tokens (Token): The company retains 10%-15% of token reserves, targeting ordinary fans and the general public, significantly lowering participation thresholds and establishing native ties with special team rights and ticketing experiences. • Empowerment Mechanism of Athlete Personal Tokens (Athlete Coins): • Leveraging the credit endorsement from the underlying franchise asset pool, it will further expand to support emerging athletes in issuing personal career development tokens in the future. • Fans can directly support early athletes' growth through investment, replacing traditional cold sports betting, establishing transparent economic benefit-sharing and fan community connection mechanisms.

ABAB AI Insight

Chris Kelly: The Next Capital Revolution of Bitcoin, Sports Franchises, and Asset Tokenization At first glance, Chris Kelly's asset portfolio seems a bit strange. On one side: Bitcoin, Ethereum. On the other side: NBA's Sacramento Kings. The former has no headquarters, no country, no board, and can be traded globally 24/7. The latter, however, is almost the complete opposite: Highly centralized; Strict league control; Extremely illiquid equity; A nearly fixed number of teams; Trades require league approval. But the real value of Chris Kelly's recent conversation on the Pomp Podcast lies here: These two seemingly opposite assets actually share the same underlying attribute—scarcity. Kelly himself is an early executive at Facebook, founder of Kelly Investments, and a co-owner of the Sacramento Kings. The core of this interview in September 2026 revolves around Bitcoin, sports assets, AI, Crypto, and his newly established Sports One. If we abstract his investment logic further, we can see a huge trend in capital allocation over the next decade: As the digital world becomes cheaper due to AI, capital will increasingly value those truly irreplaceable scarce assets. Bitcoin represents scarcity in the digital world. Professional sports franchises represent scarcity in the real world. And what Sports One aims to do is: Repackage real-world scarce assets into financial assets that can be traded, held, and participated in during the digital age. This is the key takeaway from the entire conversation. ──────────────── 1. Why might Bitcoin and NBA teams essentially belong to the same type of asset? Host Anthony Pompliano introduced a very clever concept during the interview: Barbell Strategy. One end: Bitcoin. Digital; Decentralized; Non-sovereign; Highly liquid. The other end: NBA teams. Physical; Highly centralized; League regulated; Extremely illiquid. On the surface, they are completely opposite. But there is a common point in the middle: Scarcity. Kelly also emphasized that sports teams hold a very strong mindshare in people's lives, and sports remain one of the few scenarios in an era of increasing social division that can capture the attention of a large number of people from different backgrounds. This judgment is very important. ──────────────── 2. All long-term appreciating assets ultimately revolve around three words: supply constraints The core condition for asset prices to rise over the long term is usually not: "A lot of people like it." But rather: Demand growth + limited supply. Why is real estate expensive in core cities? Because Manhattan won't suddenly have double the land. Why is Picasso expensive? Because Picasso won't come back to paint another million works. Why has gold maintained its monetary properties for thousands of years? Because it is difficult to mine. Why is Bitcoin designed to be 21 million coins? It is also artificially created: Absolute Scarcity. Professional sports leagues have the same logic. The number of NFL, NBA, MLB, and NHL teams is extremely limited. Sports One's SEC filings even directly discuss the 124 teams from the four major leagues as a pool of scarce assets, claiming their combined valuation has exceeded $500 billion. In other words: You can't just open an NBA team if you want to. You have $5 billion, but if the league doesn't approve, you still can't buy it. This is: Regulated Scarcity. ──────────────── 3. The real strength of sports teams lies not just in scarcity, but in "supply being almost locked in" If a traditional company is very profitable: Competitors will enter the market. McDonald's makes money: Other fast-food brands emerge. Uber makes money: Lyft appears. NVIDIA makes money: AMD, ASIC, and other chip manufacturers will compete. But the NBA is different. The Sacramento Kings will not suddenly have: Sacramento Kings 2 due to an increase in valuation. The league decides the supply. This means a very special economic structure: Demand can grow infinitely, but supply is artificially constrained. This is why sports franchises can have exceptionally strong long-term pricing power. ──────────────── 4. Sports is actually a form of "Attention Monopoly" To understand sports assets, one cannot just look at: Box office; Jerseys; Sponsorships. What one should really look at is: Attention. Today, one of the most scarce things in the world is not content. But rather: People's time. TikTok competes for it. YouTube competes for it. Netflix competes for it. Games compete for it. X competes for it. News media competes for it. AI products also compete for it. But events like the NFL Super Bowl, NBA Finals, and World Cup can gather the attention of tens of millions or even billions of people at the same time. This ability is extremely scarce. In economic terms, it can be understood as: Aggregated Attention. Concentrated attention. ──────────────── 5. Why can attention ultimately be transformed into huge asset value? Because attention can be monetized repeatedly. The same game can sell: TV broadcasting rights; Streaming rights; Advertising; Tickets; VIP; Sponsorship; Jerseys; Betting data; International copyrights; Game licensing; Sports content; Naming rights. This means that teams actually own: Attention Infrastructure. It is not just a simple company. It is more like a: Long-lasting cultural platform. This is also why teams can continue to see asset values rise even in years of poor competitive performance. ──────────────── 6. One of the strongest moats in sports is not just business, but identity recognition Consumers may switch: Phone brands; Car brands; Coffee brands. But a Lakers fan rarely becomes a Celtics fan just because the team has a bad year. This is called: Identity Lock-in. Identity lock-in. What traditional SaaS dreams of is: Switching Cost. Sports have a stronger version: Emotional Switching Cost. This is a terrifying commercial barrier. ──────────────── 7. Sports are one of the few "consumer brands" that can be passed down from parents to children Many brands have a lifecycle of: 5 years; 10 years; 20 years. But teams can exist for: 50 years; 100 years. Fathers support a team. Children also support it. Even grandchildren continue to support it. So teams are actually accumulating: Intergenerational Brand Equity. Cross-generational brand assets. Such assets are very rare. Coca-Cola has it. Disney has it. Manchester United has it. Yankees have it. Lakers have it. Most tech products do not have it. Today’s hottest software, whether it will still exist in 20 years, no one knows. But the Yankees will likely still be around. ──────────────── 8. So why are sports teams suitable for hedging against currency devaluation? Kelly sees Bitcoin as an inflation hedge and a global store of value. Professional teams are another type of anti-inflation asset. The logic is very simple. The supply of fiat currency: Can increase. The number of millionaires and billionaires globally: Increases over the long term. But NBA teams: The number is basically fixed. Thus, more and more capital chases fewer and fewer assets. Prices naturally tend to rise. This is very similar to art and top real estate. ──────────────── 9. True anti-inflation assets are not "prices that must rise every day," but rather supply that cannot be easily increased by monetary policy This is an important point in understanding Inflation Hedge. Many people mistakenly believe: Anti-inflation = When CPI rises, this asset immediately rises. It is not. The real deep logic is: The growth rate of money supply can exceed the growth rate of asset supply. If: The number of dollars increases; The number of wealthy people increases; Global capital increases; But the supply of quality assets increases very slowly, Then in the long term: Scarce asset prices will be revalued. This is one of the reasons why many billionaires do not allocate a lot of cash, but rather: Businesses; Land; Art; Sports; Bitcoin ──────────────── 10. The biggest difference between Bitcoin and sports teams also constitutes a combination advantage The advantages of Bitcoin: Global liquidity; 24/7; Divisible; Low transaction costs; No borders. But the disadvantages are also obvious: Price volatility is very large. Professional sports teams are exactly the opposite: Extremely low liquidity. Cannot be traded daily. But sometimes: Illiquidity itself is an advantage. ──────────────── 11. Liquidity is not always a good thing Financial textbooks usually tell you: The higher the liquidity, the better. But from the perspective of behavioral finance, this is not necessarily true. If you own stocks: Today it drops 30%. You might panic and sell. If you own an NBA team: You don’t have a Bloomberg Terminal giving you a quote every second. You cannot press Sell at 2 AM. Instead, you are forced to: Hold long-term. This can be called: Illiquidity Discipline. Non-liquidity discipline. ──────────────── 12. Many of the greatest fortunes are actually because "there's no way to sell every day" Think about the richest people in the world. Bezos's wealth comes primarily from: Not trading every day. But from holding Amazon long-term. Musk: Long-term holding of Tesla and SpaceX. The Walton family: Long-term holding of Walmart. Many people's real problem is not: Unable to select good assets. Instead: Unable to hold. Thus, the illiquidity of certain assets is, in fact, a kind of: Behavioral Protection. Behavioral protection mechanism. ──────────────── Thirteen, but it must be emphasized: liquidity premium and liquidity discount coexist Professional sports assets are not necessarily better just because they are illiquid. They also carry risks. If cash is needed: You cannot sell quickly. Transactions may take months or even longer. Additionally: League approval; Minority equity discount; Insufficient governance rights. Therefore, professional investors must consider: Illiquidity Premium. If you sacrifice liquidity, you must obtain a sufficiently high long-term expected return. Otherwise, it is meaningless. ──────────────── Fourteen, the Sacramento Kings themselves are a very typical case of scarce asset revaluation In 2013, the Maloof family prepared to sell the Kings to an investment group hoping to move the team to Seattle. The local investment consortium, where Chris Kelly was, ultimately participated in keeping the team in Sacramento. The valuation of the team transaction that year was approximately: $534 million. Kelly recalled in an interview that the Seattle consortium included Steve Ballmer, and the core attitude of the Sacramento investors was: Seattle should have a team, but cannot take Sacramento's team. This incident later became a very important node in the history of NBA asset pricing. ──────────────── Fifteen, Ballmer later bought the Clippers, which actually helped the entire NBA to reprice Steve Ballmer did not buy the Kings. Later, in 2014, he bought the Los Angeles Clippers for about: $2 billion. This price shocked the entire sports industry at the time. Why is it important? Because one of the biggest problems in the Private Market is: There are no continuous quotes. Thus, every major transaction is equivalent to: Price Discovery. When an asset is sold at a price far higher than previously imagined, the valuations of other assets in the entire league will be re-evaluated. This is: Comparable Transaction Effect. ──────────────── Sixteen, one of the greatest values of sports assets is that they inherently possess the "neighbor price increase effect" Assuming the Clippers sell for: $2B. Warriors: $8B. Celtics: Sell for an even higher price. Even if the Kings do not sell, its valuation will still be adjusted upwards. Why? Because all NBA teams share: The same league; The same media contracts; Similar scarcity; League revenue distribution; Similar buyer demographics. Thus: The sale of one team will affect the valuations of the other 29 teams. This is why sports investment is increasingly welcomed by Private Equity and Institutional Capital. ──────────────── Seventeen, the truly remarkable aspect is that the NBA is actually a "league-level monopoly platform" Many people only analyze: The team itself when investing in teams. In fact, it should be analyzed: League Economics. The true value of the NBA comes from: 30 teams forming a synergistic network. Without the Lakers: The value of the Celtics would decline. Without the Celtics: The value of the Lakers would also decline. Competitors actually co-create the product. This is a very special economic structure: Co-opetition. Cooperative competition. Competing on the court. Cooperatively maintaining league value off the court. ──────────────── Eighteen, this is also the fundamental difference between professional sports and ordinary companies Coca-Cola wants Pepsi to disappear. Nike wants Adidas to weaken. But the Lakers do not truly want the Celtics to disappear. Because without rivals: There is no game. So the biggest product in professional sports is not: A single team. But rather: Competition itself. Competition itself is the product. This is an extremely unique business model. ──────────────── Nineteen, why is the Golden 1 Center worth studying? Because the Kings have long been trying to turn the team into a technology platform The Sacramento Kings' technology experiments did not start today. The Golden 1 Center became one of the world's first indoor sports venues to receive LEED Platinum certification in 2016 and achieved full solar energy supply. The venue also built: High-speed networks; Data centers; Real-time data systems; Digital venue operations. According to official data from the Kings, the venue has the first Tier 4 Data Center in the sports industry at that time, equipped with 200 Gbps connectivity. This is essentially redefining a traditional sports venue into: A Physical Technology Platform. ──────────────── Twenty, in 2018, the Kings even directly mined Ethereum in the arena This case looks very timely today. In 2018, the Kings announced the deployment of cryptocurrency mining machines in the Tier 4 data center of the Golden 1 Center, with the related earnings used for community welfare. They thus became one of the first professional sports teams to publicly engage in digital currency mining. How much money this made is not important. What matters is the organizational culture: An NBA team is trying to explore: Crypto; Data Centers; Esports; 4K; Machine Learning; Digital Fan Engagement. This culture means: The team does not only see itself as a sports company. But rather: A Technology-enabled entertainment company. ──────────────── Twenty-one, the biggest upgrade in the future of sports is not to make the big screen bigger, but to digitize "user identity" Traditional teams know: Today, 17,000 people enter the arena. But in the past, it was difficult to truly know: Who these people are; What they watch; What they buy; Which players they support; When they leave; What they are willing to pay for. After digitization, teams can establish: Fan Identity Graph. Fan identity map. For example, a fan: Buys Kings tickets; Buys Fox jerseys; Subscribes to League Pass; Follows the team on X; Plays NBA 2K; Holds digital collectibles; Participates in prediction markets. These behaviors may all be connected in the future. ──────────────── Twenty-two, this is the true big data value of sports: Lifetime Fan Value Traditional ticketing thinking: Sell one ticket. Advanced sports business models consider: Lifetime Value. If a 15-year-old fan supports the team for: 60 years. Then their economic value comes from: Decades of: Tickets; Merchandise; Media; Subscriptions; Games; Gambling; Digital assets; Travel; Membership. So what teams should really optimize is not: Making $20 more per ticket today. But rather: Making a person a lifelong fan. ──────────────── Twenty-three, why is AI particularly suitable for sports business? Because sports have three conditions that AI particularly likes: Huge data volume; High-frequency user behavior; Strong emotions. In the future, AI can participate in: Ticket pricing; Advertising; Content generation; Fan recommendations; Game data; Player analysis; Injury prediction; Sponsorship valuation; Customer service; Personalized interaction. The sports intelligence business planned by Sport One hopes to utilize real-time athlete data, social value scoring, and sponsorship value assessment to establish a new layer of information. Its SEC documents also clearly describe this type of athlete-level data and value assessment business. ──────────────── Twenty-four, what is truly interesting about Sports One is not just "buying teams" As of September 2026, Sports One has signed a non-binding letter of intent with Nasdaq-listed Sono Group to plan a business merger. If the transaction is ultimately completed, the target company plans to: Hold minority stakes in NFL, NBA, MLB, and NHL teams; While also operating a sports intelligence business. It must be emphasized here: Currently, it is still just: LOI. It is not yet a completed acquisition. SEC documents also clearly remind that the final transaction is still subject to formal agreements, due diligence, regulatory and shareholder approvals. This is a very important risk boundary when understanding this matter. ──────────────── Twenty-five, what is the essence of Sports One? Many people see this model and say: "It's just a sports fund." Not accurate. Traditional sports funds: LPs provide money; Funds buy minority stakes in teams; Exit after a few years. What Sports One wants to do is more like: Permanent Capital Vehicle. A permanent capital vehicle. That is to say: It is not a fund that must sell the team when the fund term ends. But rather: Long-term holding. This is closer to: Berkshire Hathaway. Or: A listed Holding Company. ──────────────── Twenty-six, why is permanent capital particularly suitable for sports assets? Because sports teams are typical: Long Duration Assets. Long-term assets. If the fund term is: 7 years; 10 years; It must exit when the term ends. It may miss out on the compounding of the following decades. Permanent capital does not have this problem. As long as the team's value continues to grow: It can continue to hold. This is also why many of the best family fortunes adopt: Holding Company Instead of frequent buying and selling. 27. The real fear of true compound interest assets is "forced sale" What does Buffett like the most? Permanent Capital. Why is insurance Float important? Because it provides Berkshire with: Long-term capital. Sports are the same. If an asset can: 5%, 8%, 10%, 12% compound over decades, the real source of wealth is not: buying low and selling high. But rather: not selling. ──────────────── 28. The biggest barrier to sports assets in the past was not the yield, but Access You might be very optimistic about the NBA. But what about ordinary investors? They cannot directly buy 0.001% of the Lakers. This is the biggest problem with Private Assets: Access Barrier. In the past, buying a team required: extremely high minimum investment amounts; networking; league approval; long-term capital. Therefore, even if the asset itself is very good, only: billionaires; Private Equity; Institutions could participate. What Sports One really wants to change is: Distribution. ──────────────── 29. This is completely the same historical main line as the financial democratization of the past twenty years Before 1990: Buying stocks was troublesome. Later: Online Brokers. Then: Zero commissions. Real estate: REITs. Private credit: More retail products are now emerging. Private Equity: More semi-liquid funds are appearing. Crypto: Directly digitizing assets. The long-term trend in finance is actually very clear: Continuously breaking down assets that only the rich could buy into smaller units to sell to more people. Sports One is also part of this trend. ──────────────── 30. What Tokenization really changes is not the asset, but "ownership granularity" A building: It does not become better because of Tokenization. A team: It will not suddenly win more games just because it is on-chain. What Tokenization really changes is: Ownership Granularity. In the past: Buy a complete asset. Later: Buy equity. In the future: Equity can continue to: Fractionalize. Break into smaller parts. From: $100M to: $10M; $100K; $1,000; theoretically even $10. This is the true financial significance of Tokenization. ──────────────── 31. But "assets on-chain" does not automatically mean liquidity This is the easiest thing to get wrong in the Crypto industry. Many projects say: Tokenization = Liquidity. Not necessarily. Real liquidity comes from: buyers; sellers; market depth; market makers; regulatory certainty; price transparency; asset standardization. A real estate token that no one wants to buy: Even if it is on-chain 24/7, it still has no liquidity. So: Tokenization enables liquidity. But it will not: create demand from nothing. This is a completely different concept. ──────────────── 32. The greatest value of tokenizing sports assets may actually not be trading What is really interesting is: Participation. If a Kings fan holds some kind of legal and compliant economic rights, his identity changes from: Customer to: Stakeholder. This may change behavior. He will care more about: the team's value; players; games; business partnerships; surroundings. This is called: Ownership Effect. Behavioral economics has repeatedly proven: People assign higher psychological value to things they own. ──────────────── 33. Sports may become one of the most natural use cases for Tokenization Why has real estate Tokenization been slow despite many years of promotion? Because real estate lacks: Community. Sports have it. Teams naturally have: millions of fans; social dissemination; emotional connections; identity recognition. Crypto excels at: Community + Ownership. Sports happen to have both. So the real potential of Sports Tokens may not be: financial engineering. But rather: Financialized Fandom. Financialized fan relationships. ──────────────── 34. However, it is crucial to draw a very important line: Fan Ownership ≠ Fan Token In the past few years, a large number of: Fan Tokens have emerged in Crypto. Many actually only provide: voting; souvenirs; community rights. They do not represent: team equity. If in the future, Sports One or similar projects really bring sports asset economic rights on-chain, the regulatory attributes will be completely different. It may involve: securities laws; brokerage transactions; custody; KYC; AML; league rules; transfer restrictions. So the real question to solve is not: "Can we issue Tokens?" But rather: What legal rights do Tokens actually represent? ──────────────── 35. This is the biggest barrier for RWA: on-chain records are simple, but off-chain rights are the hardest There is a fundamental problem with real asset Tokenization. Assuming on-chain shows: You own 1% Token. But: Is there legally a 1% interest in the team? Who represents you in voting? How are profits distributed? In bankruptcy, what is your priority? What if the Token is stolen? What if the league does not recognize it? This is called: On-chain / Off-chain Enforcement Gap. Records in the on-chain world must be enforceable in the real legal system. Otherwise, Tokens are just database records. ──────────────── 36. Truly successful RWA will not bypass the law, but will embed the law into technology One early ideal in Crypto was: Code is Law. The real asset world is not enough. A truly sustainable structure is usually: Code + Contract + Regulation. Smart contracts are responsible for: automation. Legal contracts are responsible for: rights. Regulation is responsible for: social recognition and enforcement. If Sports Tokens succeed in the future, they will likely have to follow this route. ──────────────── 37. Why does Sports One first pursue a Public Company before discussing Tokens? This is worth noting According to current public disclosures, Sports One plans to first establish a publicly traded company structure through a combination with Sono Group. This is very smart. Because Public Equity already has: securities law framework; financial disclosures; custody; exchanges; auditing; price discovery. In other words: First establish: Regulated Wrapper. Then explore Tokens. This is much more mature than: issuing coins first, then thinking about legal structures. ──────────────── 38. Many future RWA projects may adopt a "dual-layer asset structure" First layer: Legal Asset. Company; SPV; Fund; Debt. Second layer: Digital Representation. Token. Tokens should not generate value out of thin air. The real value comes from: the underlying asset. Therefore, when analyzing any RWA, the first question should be: What is underneath the token? What exactly is under the Token? This is the simplest way to judge real assets versus pure narratives. ──────────────── 39. Athlete Tokens are a bolder step, but also carry higher risks Sports One's public materials have already mentioned: athlete-level data; athlete value; new athlete asset categories. Interview summaries mention exploring Athlete Coins in the future. The imagination for this is vast. Because athletes themselves possess: future income; advertising value; fan value; career development. Theoretically, these future cash flows exist: Financialization space. ──────────────── 40. The economics of Athlete Tokens are essentially similar to "Human Capital Securities" In traditional finance, we categorize assets as: stocks; bonds; real estate; commodities. But humans themselves also possess: Human Capital. Future income potential over decades. A young athlete: today may have very low income. In the future, if they become a star: the income could be huge. Therefore, theoretically: investors can provide funding in advance, in exchange for a portion of future income. This is similar to: Income Share Agreement. ──────────────── 41. This will create a completely new financing model for sports Traditionally, young athletes' funding comes from: family; schools; clubs; sponsors; agents; banks. In the future, it may become: Community Financing. Fans directly support. For example: An athlete's training requires: $500K. Issuing some kind of legal securitized rights. Fans provide funding. After the athlete succeeds: share as agreed: sponsorship; bonuses; licensing income. Theoretically: Athletes gain growth capital. Fans gain economic participation. This is: Human Capital Markets. ──────────────── 42. But this is also the part of the entire system with the highest regulatory risk Because athletes are not companies. This will involve very complex issues: Minors; Labor Law; Securities Law; Moral Hazard; Occupational Injuries; Privacy; Income Rights; Alliance Rules. There even arises a philosophical question: To what extent should a person's future income be securitized? So the Athlete Token is technically not difficult. The real challenge is: Institutional Design. ──────────────── 43. The greatest future of Crypto may not necessarily be "recreating all assets," but rather redesigning the settlement layer. Kelly talked about the combination of AI and Crypto in an interview. One of the most noteworthy scenarios is: Agent Economy. In the future, an AI Agent: Helps you shop; Books hotels; Calls APIs; Purchases data; Hires other Agents; Pays for computing power. It cannot always: Swipe Visa; Wait for manual approval. Machines need: Machine-native Money. ──────────────── 44. Why do AI Agents inherently need Blockchain? Because the world of AI Agents has three problems. First: Identity Who is this Agent? ──────────────── Second: Payment How does an Agent pay another Agent? ──────────────── Third: Audit If something goes wrong: Who did what? These three questions, Blockchain can naturally participate in. So the real combination of Crypto and AI is not: "AI issues Meme Coins." But may be: Machine Economy Infrastructure. ──────────────── 45. Blockchain is truly suitable for machines, not just for people. The traditional banking system is designed for: People and companies. It requires: Opening accounts; Signing; Business hours; Bank licenses. The design logic of Blockchain: API-native; 24/7; Global; Automatically executed. This is particularly suitable for Agents. An Agent can: Have a Wallet; Have Stablecoin; Make automatic payments; Automatically settle; Automatically execute Smart Contracts. Thus: Wallets may become the future AI Agent's: Bank Account. ──────────────── 46. Why might Stablecoins be more suitable for the Agent Economy than Bitcoin? Bitcoin is suitable for: Reserve Assets. Value storage. But daily machine payments need: Price stability. So the Agent Economy is more likely to form: Bitcoin: Reserve layer. Stablecoin: Transaction layer. Smart Contract Chain: Execution layer. Identity / Provenance: Verification layer. This is a complete digital economic system that is likely to gradually form. ──────────────── 47. The stronger AI becomes, the more valuable "proving what is real" becomes. Generative AI creates an increasingly serious problem: Anything can be generated. Images; Videos; Sounds; Articles; Identities. Thus, the most scarce resource in society may shift from: Content to: Authenticity. Who created it? When was it created? Was it modified? Is it AI? Was it authorized by the person? This is: Provenance. Blockchain does not necessarily solve all authenticity issues. But it can become: An immutable layer of time and transaction records. ──────────────── 48. The true combination of AI and Blockchain may be a kind of "trust feedback effect." The stronger AI becomes: The lower the cost of forgery. Thus: The higher the value of verification. This is a very important economic law: Generation Cost ↓ → Verification Value ↑ Generation becomes cheaper. Verification becomes more expensive. Therefore, the huge industry of the future may not be: Generating more content. But rather: Proving which content is credible. ──────────────── 49. The logic behind Kelly's investment in Alchemy is essentially selling shovels in the Web3 world. Alchemy does not primarily sell consumer products. It provides: Nodes; RPC; Development tools; Blockchain infrastructure. The biggest characteristic of such companies is: They do not need to bet on: Which NFT will succeed; Which game will succeed; Which wallet will succeed. As long as the overall industry activity increases, Infrastructure will grow. This is very similar to the investment logic of: AWS; Stripe; NVIDIA. Picks and Shovels. Selling shovels. ──────────────── 50. Etched represents another completely different AI investment logic: specialization. AI chips today are mainly dominated by: GPUs. The biggest advantage of GPUs is: Universality. But universality means: There is efficiency loss. If a certain model architecture stabilizes for a long time in the future, ASICs will emerge. Specialized chips. They sacrifice: Universality. In exchange for: Speed; Power consumption; Cost advantages. This is a very classic cycle in the computing industry: General Purpose → Specialization. ──────────────── 51. Why is the fact that the human brain consumes 20W so important? Today, AI infrastructure is developing towards: GW levels. While the human brain's daily energy consumption is only about: Dozens of watts. What does this indicate? It does not mean: We should replicate the brain tomorrow. But it indicates: Current digital intelligence still has a huge gap in: Energy Efficiency compared to biological intelligence. This may be one of the biggest research opportunities for AI in the future. ──────────────── 52. The next war in AI is likely to shift from "scale of computing power" to "intelligence per joule." Today, everyone compares: Number of GPUs; Parameters; Data center GW. In the future, the comparison may gradually shift to: Intelligence per Watt. How much intelligence is generated per watt. The reason is very realistic. The power grid will not grow indefinitely. Data center land is limited. Cooling is limited. So when scale meets physical limits, Optimization will inevitably shift to: Efficiency. ──────────────── 53. This will reopen the entire chip architecture innovation Including: ASIC; Neuromorphic Computing; Optical Computing; Analog Computing; New storage computing architectures; More efficient inference chips. The real breakthrough may not just be: "Building another 100GW data center." But rather: The same intelligence, With power consumption reduced by: 10 times; 100 times. If such a breakthrough occurs, The cost structure of AI will be rewritten again. ──────────────── 54. Why is Meta particularly worth Kelly's attention? Because Meta has a very special business loop. Many AI companies must first answer: How does the model make money? Meta does not necessarily. It already has: Facebook; Instagram; WhatsApp; Advertising network. If AI merely increases: Ad click-through rates; Makes recommendations more precise; Keeps users engaged for a few more minutes, It can already generate billions of dollars in value. Therefore, Meta can tolerate: Huge CapEx. ──────────────── 55. This is a very important principle for investing in AI companies: who already owns Distribution? Models are capabilities. Distribution is the entry point for making money. Meta has: Billions of users. Google has: Search; YouTube; Android. Microsoft has: Office; Windows; Azure. Amazon has: AWS; E-commerce. Apple has: Devices. So the AI advantages of these companies are not just: Strong models. But rather: They are already in front of users. ──────────────── 56. In the AI era, what matters more is not "who has the first model," but who controls the last mile. This is a long-term rule in the tech industry. The technology layer keeps changing. What often makes long-term profits are: User relationships; Distribution; Platforms. The underlying protocols of the internet are extremely important. But: Google; Amazon; Meta have taken more profits. AI may be the same. Models will become stronger. But the real business winners may be: Those who embed AI into: Daily real work and consumption behaviors. ──────────────── 57. Why might small models become an important route for enterprise AI in the future? General Frontier Models: Understand everything. The cost: Expensive. Many enterprise scenarios actually do not need: "The smartest AI in the world." For example: Financial classification; Contract extraction; Warehouse forecasting; Customer service; Internal approvals. If a small model can complete the task, Costs may drop by several orders of magnitude. So in the future, AI is likely to form: Frontier Intelligence + Specialized Intelligence. Two-layer market. ──────────────── 58. Large models will not disappear, but they may not perform all tasks. This can be compared to: Cloud computing. Enterprises do not run all data on the same type of server. There are: CPU; GPU; ASIC; Edge. AI is the same. Difficult tasks: Frontier Model. Routine tasks: Small Model. Real-time tasks: Edge AI. Privacy Task: On-device. Final Formation: Model Routing Economy. System Automatically Selects: Which task should call which intelligence. ──────────────── 59. This will shift the AI industry from "model wars" to "intelligent scheduling wars." What enterprises will really need in the future may not be: A model. But: AI Operating System. It decides: This task: Call GPT? Claude? Internal model? Local Model? Which one has the lowest cost? Which one has the best privacy? Which one is the fastest? What enterprises ultimately purchase is not: A model. But: Intelligence Infrastructure. ──────────────── 60. What Chris Kelly's portfolio truly reflects is actually three types of scarcity. If we abstract the entire interview away from specific companies, I believe he is buying three things. The first type: Monetary Scarcity Bitcoin. Monetary scarcity. ──────────────── The second type: Physical / Cultural Scarcity Professional teams. Reality and cultural scarcity. ──────────────── The third type: Computational Scarcity Chips; AI Infrastructure. Scarcity of computing resources in the intelligent era. These three types of assets seem unrelated. In fact, they all revolve around: Supply Constraint. ──────────────── 61. The highest level of asset allocation is not about predicting all futures, but owning things that can benefit under different futures. If fiat currency continues to depreciate: Bitcoin may benefit. If global entertainment consumption continues to grow: Sports Franchise benefits. If AI continues to explode: Compute Infrastructure benefits. If digital assets continue to develop: Blockchain Infrastructure benefits. This is called: Optionality. Not betting on a single script. But: Simultaneously having options for multiple possible futures. ──────────────── 62. This is the truly advanced aspect of the "barbell strategy." Barbell investing is not simply: Half BTC; Half teams. The real idea comes from Nassim Taleb: Allocating assets at: Extremely safe; And extremely high upside Ends. Reducing the ambiguous risks in the middle. Although Kelly's assets are not a standard Taleb Barbell, They also reflect: Extreme attributes at both ends. Bitcoin: High liquidity, high volatility, high upside. Teams: Low liquidity, long-term compounding, supply limits. After combining: Behavioral attributes are completely different. ──────────────── 63. If Sports One succeeds, what it really changes may not be sports, but alternative asset securitization. Today Sports One does: Teams. Tomorrow a similar structure can do: Art; Music copyrights; Film copyrights; High-end real estate; Private credit; Infrastructure. Underlying logic: Originally: Private Asset. After: Legal Wrapper + Public Market + Tokenization. Ultimately becomes: Broader Ownership. This is a very significant financial industry trend. ──────────────── 64. In the future, the boundaries between TradFi and Crypto may become increasingly blurred. Today we still distinguish: Stock market; Crypto. In the future, this distinction may become increasingly meaningless. Because an asset may: Legally be a security; Trade layer on blockchain; Cash flow using stablecoin; Identity KYC on-chain; Custodians still being traditional financial companies. This is not: Crypto replacing Wall Street. But: Wall Street absorbs crypto rails. Wall Street absorbs blockchain infrastructure. This may be the most realistic endgame for RWA. ──────────────── 65. The greatest success of blockchain in the future may precisely be that people "no longer realize they are using blockchain." Today people say: Web3 App. In the future, there may be no such term. Just like today no one says: "TCP/IP App." You open Instagram, You won't care about the network protocol. If blockchain truly matures: Consumers will only care about: Assets belong to me; Transactions are fast; Costs are low; Globally available; Records are transparent. Whether the underlying is blockchain: Not important. This instead represents: Technology truly succeeds. ──────────────── 66. What should ordinary investors learn from Chris Kelly? Not to immediately buy a team. Nor to go all-in on Bitcoin. But to understand a few principles. First: Buy scarcity, not hype. True long-term value comes from: Supply being hard to increase. ──────────────── Second: Distinguish liquidity from value. Being tradable every day, Does not mean it is a good asset. Not being able to sell every day, Does not mean it is a bad asset. ──────────────── Third: Focus on Mindshare. Assets that have long-term consumer attention, Have very strong commercial value. ──────────────── Fourth: Distinguish Token from underlying assets. Always look first: What is behind the Token. ──────────────── Fifth: Look for new asset classes where institutions are opening up. The real big opportunities often do not come from new assets being born. But from: Old assets first opening up to new buyers. ──────────────── 67. What should entrepreneurs learn? If doing sports: Don't just sell tickets. Build: Fan Ownership; Data; AI; Community; Financial Products. If doing Crypto: Don't issue Tokens just for the sake of issuing Tokens. Look for: Real assets; Real cash flow; Real rights. If doing AI: Don't just create model Wrappers. Find: Real Distribution; Real industry data; Real payment capabilities. Ultimately, the business world always returns to: Who pays, and why they pay. ──────────────── 68. The biggest risks of Sports One must also be made clear. First: Currently, the transaction between Sports One and Sono is still only a non-binding LOI and has not been finalized. Second: Minority stakes in teams usually have: Minority Discount. No control. Third: Professional leagues have strict rules regarding institutional holdings and transfers. Sports One's own public disclosures also clearly acknowledge that any team investment still requires approval from the relevant league and team. Fourth: How Tokens are designed, whether they belong to securities, and how they correspond to actual equity, may pose significant regulatory challenges. Fifth: The past valuation increases of professional teams Do not mean future returns can mechanically replicate the past. This is the aspect that requires the most caution after the financialization of all alternative assets. ──────────────── 69. Any "democratization of investment" will ultimately produce a paradox. When an asset can only be bought by billionaires: It is very scarce. If financial engineering allows everyone globally to buy: Demand increases. Prices may rise. But at the same time: The higher the degree of financialization, The asset also becomes increasingly susceptible to: Market sentiment; Leverage; Speculation. So: Democratization May bring: Higher liquidity; Higher valuations; At the same time: Higher volatility. This is the contradiction that Sports One must face in the future. ──────────────── 70. What is truly worth paying attention to is not whether Sports One will succeed, but the direction it represents. Sports One may succeed. It may also fail due to: Regulation; League approvals; Capital; Transaction structures Ultimately unable to land as currently envisioned. But this does not affect the long-term trend it represents: Private Markets are being Publicized. Private assets are gradually becoming public. At the same time: Traditional Assets are being Tokenized. Traditional assets are being digitized. These two trends will ultimately converge. ──────────────── 71. One of the biggest changes in global capital markets in the future: the distance between assets and investors will become shorter. In the past: Company → Investment Bank → Fund → Broker → Investor. In the future, blockchain may shorten the middle layer. Assets can: Be issued directly; Automatically distribute dividends; Global settlement; Real-time trading; Transparent records. This is the financial market: Settlement Compression. But regulation, trust, and asset screening still need to exist. So intermediaries will not disappear entirely. They will be repositioned. ──────────────── 72. What is truly being eliminated is not intermediaries, but intermediaries that do not create value. This is a very important rule in the blockchain industry. Banks will not automatically disappear because of blockchain. Exchanges will not automatically disappear. Asset management companies will not either. What is truly dangerous is: Relying solely on: Information opacity; Slow settlements; Channel barriers; High friction costs To make money. Technology will continue to compress these profits. But: Credit; Risk control; Asset selection; Legal responsibility; Capital provision Still have value. ──────────────── 73. Sports Tokenization may ultimately redefine "fans." In the past, fans were: Consumers. Buying tickets. Buying jerseys. In the future: Consumers + Community Members. Further: Consumers + Owners. If this step is truly realized, the sports economy will undergo significant changes. Team revenue will no longer just be: selling things to fans. Instead, it may become: allowing fans to enter the team’s capital structure. This is a completely different relationship. ──────────────── Seventy-four, behind this is actually the most reasonable part of the initial narrative of Web3. One of the core original ideas of Web3: Users are not just users. Users can own the network. In the past, this concept was often: speculated; token issuance; Ponzi polluted. But sports may be a truly suitable scenario for the Ownership Economy. Because here there is already: Community; Identity; Long-term loyalty; Scarcity. What is missing is: Ownership Rail. ──────────────── Seventy-five, AI will further accelerate all of this. Imagine the future. Every fan has: an AI Sports Agent. It knows: who you like; you own which team assets; your ticketing; collectibles; prediction records; sports Tokens. Automatically helps: book tickets; trade; check rights; manage digital assets. AI is responsible for: Intelligence. Blockchain is responsible for: Ownership. Stablecoin is responsible for: Payment. Sports provide: Community + Scarcity. After the combination of the four, new consumer financial products that do not exist today will emerge. ──────────────── Seventy-six, this is the truly interesting part of Chris Kelly's interview. On the surface, it discusses: Bitcoin; Kings; Meta; AI; Crypto; Sports One. But the underlying theme is actually just one: Ownership is changing. In the past wealth world: owning land. Industrial age: owning machines. Capital market era: owning stocks. Internet era: owning platforms. Crypto era: digital ownership is starting to become programmable. AI era: intelligence itself is starting to be commoditized. Thus, what will truly become scarce in the future will revert to: asset ownership; attention; identity; culture; real-world resources. ──────────────── Seventy-seven, this may be one of the most important wealth differentiation logics in the next twenty years. AI will lower: the cost of knowledge production; the cost of software production; the cost of content production. Blockchain will lower: the cost of asset issuance; settlement; transfer. This means: the cost of many "doing things" will decrease. But: the importance of owning scarce things may increase. In the future, wealth gaps may increasingly reflect: you own: what assets? what networks? what land? what IP? what brands? what Tokenized Rights? rather than: how high your salary is. This is the Ownership Economy. ──────────────── Seventy-eight, a key insight for ordinary people: upgrade from income thinking to ownership thinking. Salary belongs to: Linear Income. Work one day: earn one day. Assets belong to: Compounding Capital. Even if you don’t work: the assets may still grow. So the core question of long-term wealth accumulation is not: "How much did I earn this year?" but should ask: Of the money I earned, how much ultimately became productive or scarce assets that I own? This is actually the same question Chris Kelly discusses: Bitcoin; teams; equity; Tokens. ──────────────── Seventy-nine, but never take "scarcity" as the sole reason for investment. This is the final layer that must be added. Scarcity does not mean: it is valuable. I paint a picture that is the only one in the world. Very scarce. It may still be unwanted. The true asset value requires: Scarcity × Demand. Without Demand: Scarcity is meaningless. The value of Bitcoin comes from: scarcity + global network demand. NBA franchises come from: scarcity + sports attention. Manhattan comes from: scarcity + economic activity. This is a very important asset pricing principle. ──────────────── Eighty, truly excellent long-term assets also need a third thing: Durability. So the complete formula should be: Scarcity × Demand × Durability. Scarcity. Demand. Duration. If an asset is: scarce; many people want it; and this demand can last for decades, it may become a truly great long-term asset. Professional sports fit this structure very well. Whether Bitcoin can ultimately achieve this, depends on the continued recognition of its monetary attributes and network security in the coming decades. ──────────────── The most memorable statement: Chris Kelly's portfolio seems to span: Facebook; Bitcoin; Ethereum; NBA; AI chips; Blockchain Infrastructure; Sports One. But if you break down all these assets, the underlying capital logic is actually very consistent: In a world where currency is increasing, digital content is proliferating, and AI capabilities are becoming cheaper, truly long-term expensive things will increasingly concentrate on "non-replicable scarcity." Bitcoin attempts to create: digital scarcity. Professional sports leagues create: franchise scarcity. Superstars create: talent scarcity. Core urban land provides: physical scarcity. And what Blockchain is trying to do is to turn these: originally hard to buy, hard to dismantle, hard to trade, hard to settle globally scarce assets, back into: programmable ownership. If this direction truly holds, the biggest story of blockchain in the future may no longer be: "Creating 1 million new Tokens." But rather: connecting the trillions of dollars of real assets that already exist globally to the digital capital market. At that time, Crypto will ultimately change not the assets themselves. But: who can own the assets and how ownership flows. This is what Chris Kelly, Sports One, and the entire RWA era should be focused on in the long term.
C
Chris Kelly
co-owner of the Sacramento Kings
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15 min read
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