Article: Sustainable Tokenomics: Questions Every Founder Should Think About
Date: February 2025
Publisher: Binance Research
Score: ₿₿₿
Read time: 20 minutes
Summary:
- 1. Overview: This article explores the key principles behind sustainable tokenomics and the challenges founders face when designing token economies. It argues that tokenomics plays a crucial role in long-term project success, particularly beyond market hype. The article outlines four essential design objectives: fair distribution of token supply, sustainable supply emissions, distinct token demand, and active governance. Through case studies on Jupiter and Solana, the article contrasts different tokenomic approaches, highlighting how some projects prioritize community alignment while others focus on product-market fit first. It concludes by discussing broader considerations such as valuation at launch, governance token sustainability, and the importance of product development.
- 2. Token Distribution and Alignment: Fair token supply distribution is critical in ensuring long-term alignment among different stakeholders, including investors, teams, communities, and liquidity providers. The article emphasizes that poorly structured distributions can lead to excessive sell pressure, harming token sustainability. Founders are encouraged to consider community fundraising platforms, airdrops, and liquidity bootstrapping pools to engage the right stakeholders. Successful projects often reward long-term users rather than short-term speculators to maintain alignment.
- 3. Managing Supply Emissions: Supply emissions should be carefully planned to prevent excessive inflation or premature sell-offs. The article details different emission mechanisms, including vesting schedules and inflation control strategies. Founders must balance early token unlocks with the protocol’s growth stage to avoid flooding the market. Some projects implement dynamic inflation models, such as Solana’s proposed shift to a flexible emission rate, to better match network maturity and demand.
- 4. Creating Sustainable Demand: Token demand can be speculative or intrinsic, with the latter being crucial for long-term sustainability. The article categorizes tokens into governance and utility types, showing how utility-driven demand can help maintain price stability. Tools such as staking, revenue-sharing mechanisms, and token buybacks can help enhance demand. Jupiter’s 50% revenue buyback strategy is cited as an example of reinforcing long-term value while keeping supply in check.
- 5. Importance of Active Governance: As protocols mature, governance becomes essential in adapting tokenomics to changing network needs. The article discusses governance challenges, including low participation and centralization risks. Various models, such as vote-escrowed tokens (veTokens) and market-driven governance (futarchy), can help increase engagement. The Helium network and Solana’s governance evolution illustrate how governance can shape tokenomics over time. Projects should incentivize governance participation to ensure decentralized decision-making and long-term protocol stability.
Article: The Evolution of Tokenomics: A Comparative Study of Utility vs. Security Tokens
Date: February 2025
Publisher: Anthony Alexander
Score: ₿₿+
Read time: ~30 minutes
Summary:
- 1. Overview: The article provides an in-depth comparison of utility and security tokens, analyzing their economic models, regulatory implications, market behavior, and governance structures. Utility tokens primarily serve functional roles within blockchain ecosystems, gaining value from network effects and user engagement. However, their volatility and speculative nature pose risks to long-term stability. In contrast, security tokens resemble traditional financial instruments, offering investors structured returns and regulatory compliance, but at the cost of slower innovation and higher issuance complexities. The study highlights the trade-offs between these two models and emphasizes the need for hybrid frameworks and adaptive regulatory policies to balance innovation with stability.
- 2. Utility Tokens and Market Volatility: Utility tokens derive value from their role within a platform, often acting as access passes or transactional units. Their prices are highly sensitive to user adoption and network effects, leading to significant fluctuations. While this model encourages rapid growth, speculative trading often inflates valuations beyond actual utility, resulting in market instability and boom-bust cycles, as seen in the 2017 ICO boom.
- 3. Security Tokens and Regulatory Compliance: Security tokens, structured to comply with traditional financial regulations, provide investors with rights similar to stocks or bonds. Their value is tied to expected financial returns such as dividends or profit-sharing. This compliance ensures stability and institutional investment appeal but imposes strict issuance requirements, increasing costs and slowing adoption. The study notes that security tokens may bridge blockchain innovation with traditional finance.
- 4. Governance Challenges in Token Models: Utility tokens often implement decentralized governance models, where token holders participate in decision-making. However, governance can become centralized if voting power concentrates among large holders. Security tokens follow corporate-style governance with regulatory oversight, ensuring transparency but reducing flexibility. The article suggests hybrid governance models combining decentralized decision-making with structured investor protections.
- 5. Future of Tokenomics - Hybrid Models and Regulation: The study advocates for hybrid token models that integrate the agility of utility tokens with the stability of security tokens. Regulatory frameworks must evolve to address the unique risks of digital assets while fostering innovation. Emerging technologies like AI and machine learning could enhance risk management and governance. The article concludes that a balanced approach-blending regulatory clarity, technological advancements, and adaptive economic models-will be key to the sustainable evolution of tokenomics.
Article: Fundamentals of Decentralized AI
Date: February 2025
Publisher: Joshua Wong
Score: ₿₿
Read time: ~15 minutes
Summary:
- 1. Overview: The article explores the concept of Decentralized AI (DeAI) and its role in countering the growing centralization of artificial intelligence by Big Tech companies. While AI has rapidly advanced under centralized control, decentralized networks powered by blockchain technology could provide a more democratic alternative. DeAI relies on three fundamental components: data, compute, and algorithms, all of which are being developed through decentralized projects. The article discusses the risks of AI centralization, potential blockchain-based solutions, and the growing interest in decentralized infrastructure to distribute AI power more equitably.
- 2. Centralization Risks in AI: The current AI industry is dominated by a few major corporations that control large-scale models, data, and computing power. This monopolization raises concerns about bias, transparency, and economic dependence on centralized AI providers. With AI becoming a critical part of global infrastructure, the consolidation of AI resources among a handful of players may create long-term risks, including restrictions on accessibility and control over information.
- 3. DeAI Infrastructure Development: Decentralized AI aims to address these risks by distributing AI development across blockchain-based networks. This includes decentralized storage solutions like Filecoin and Arweave, decentralized compute power through projects like Render and AIOZ, and AI model-sharing platforms such as Bittensor. These initiatives enable AI training and deployment without relying on centralized entities, promoting transparency and open collaboration.
- 4. The Role of Tokenomics in DeAI: Blockchain-based AI infrastructure leverages tokenomics to incentivize participation. For example, Filecoin rewards users for storing data, Render compensates GPU providers for compute power, and Bittensor uses a unique "Proof of Intelligence" mechanism to reward high-quality AI models. These token-based incentives ensure decentralized AI networks remain sustainable and competitive with centralized alternatives.
- 5. Future Prospects of DeAI: As AI adoption accelerates, decentralized solutions are gaining traction as viable alternatives to centralized models. Blockchain networks can democratize access to AI, preventing single entities from monopolizing this transformative technology. The article suggests that DeAI could reshape the AI industry by providing more equitable access to AI resources, reducing costs, and fostering global collaboration. The emergence of decentralized AI stacks could offer a scalable, trustless alternative to today's AI monopolies.
Article: Impact of Consensus Issuance Yield Curve Changes on Competitive Dynamics in the Ethereum Validator Ecosystem
Date: February 2025
Publisher: Antero Eloranta, Santeri Helminen
Score: ₿₿
Read time: ~25 minutes
Summary:
- 1. Overview: The study examines how changes to Ethereum's staking reward issuance curve impact validator competition, using historical data from the Beacon Chain genesis to May 2024. Large validator pools (100+ validators) currently earn 12-15% more than solo validators, a disparity that could grow under proposed reward curve reductions. Elasticity analysis indicates that solo stakers are highly sensitive to yield reductions relative to other staking categories. Event studies reveal strong validator responses to major ecosystem developments, such as the Shanghai/Capella upgrade enabling withdrawals and the Bitcoin ETF launch. The study highlights the importance of maintaining competitive yield structures to preserve decentralization, recommending a combination of MEV-Burn and gradual issuance changes.
- 2. Validator Competition and Rewards: Larger validator pools benefit from higher execution rewards and more efficient reward compounding, giving them a competitive edge over smaller validators. The proposed issuance reductions would increase this advantage, with pools of 100+ validators earning up to 15% more than solo stakers if no mitigating measures (such as MEV-Burn) are implemented. An economically capped issuance curve could worsen this disparity by making smaller validators unprofitable.
- 3. Staker Elasticity and Market Sensitivity: Solo stakers exhibit high sensitivity to relative yield changes, meaning they are more likely to exit staking when their returns decrease compared to larger pools. However, absolute yield changes and DeFi yield fluctuations have a weaker impact on validator behavior. This suggests that maintaining competitive staking rewards across all validator sizes is crucial for decentralization.
- 4. Major Event Impacts: The Shanghai/Capella upgrade led to increased deposits from larger pools and higher exit rates for some staking categories, demonstrating that liquidity improvements influence staking decisions. The Bitcoin ETF launch triggered a significant rise in validator exits, particularly among smaller validators and retail-heavy exchanges. In contrast, events like Rocket Pool’s mainnet launch and Federal Reserve rate hikes had minimal immediate impact on staking activity.
- 5. Policy Recommendations: The study suggests that major reward structure changes should be accompanied by MEV-Burn to reduce execution reward imbalances. A sudden shift to economically capped issuance could push smaller validators out of the market, leading to increased centralization. A phased approach combining MEV-Burn with gradual issuance adjustments may best support a diverse and competitive Ethereum validator ecosystem.
Article: The Early Days of the Ethereum Blob Fee Market and Lessons Learnt
Date: February 18, 2025
Publisher: Lioba Heimbach (ETH Zurich), Jason Milionis (Columbia University)
Score: ₿₿
Read time: ~30 minutes
Summary:
- 1. Overview: Ethereum’s transition to a rollup-centric scaling approach introduced blob transactions under EIP-4844, aiming to reduce data storage costs for Layer 2 (L2) solutions. This study examines the early months of the blob fee market since its launch in March 2024, identifying inefficiencies such as suboptimal block packing, which led to fee losses of up to 70%. The authors analyze market behaviors, congestion events, and structural design flaws in the current transaction format. They propose potential improvements, including better packing algorithms, subset bidding, and market design changes to enhance efficiency and incentives for builders.
- 2. Introduction of Blob Fee Market: Blobs are temporary data objects designed to reduce the cost of storing L2 data on Ethereum. The introduction of the blob fee market under EIP-4844 created a separate pricing mechanism for blob transactions, distinct from traditional gas fees. This change aims to optimize transaction costs but also introduces new complexities, particularly in transaction structuring and fee market efficiency.
- 3. Inefficiencies in Blob Utilization: Analysis shows that a significant number of Ethereum blocks were not optimally packed with blob transactions, leading to fee losses for block builders. Up to 44.6% of blocks processed through Proposer-Builder Separation (PBS) were suboptimally packed. This inefficiency stems from weak economic incentives for builders to optimize blob inclusion and the complexity of managing blobs within the block space.
- 4. Market Congestion and Price Discovery Issues: Two major congestion events-Blobscription craze (March 2024) and the LayerZero airdrop (June 2024)-led to extreme spikes in blob fees. The slow price discovery mechanism for blob fees resulted in inefficient market responses, with fees increasing by 15 orders of magnitude during peak congestion. Despite this, L2s did not switch back to calldata, highlighting inefficiencies in market adaptability.
- 5. Proposed Solutions for Market Improvements: The study suggests several fixes to improve efficiency, including (1) implementing better packing algorithms, (2) introducing subset bidding to allow partial inclusion of blobs within transactions, (3) refining the blob fee structure with priority fees, and (4) gradually increasing blob targets to balance supply and demand. Additionally, improving the incentives for builders by adjusting fee mechanisms could encourage optimal utilization of blob space.
