Tokenomics

Buyers of AI services are struggling to control costs, while sellers face uncertainty about appropriate pricing. The article highlights challenges in establishing a clear economic model for AI services.

Businesses are reevaluating their AI investments as token-based costs rise, prompting a shift from maximizing adoption to cost control. The lack of standardized AI pricing and measurement challenges has led to the emergence of 'tokenomics' and efforts to establish industry benchmarks.

The article discusses how nations and critical infrastructure owners are realizing that controlling AI tokens, rather than just building sovereign digital infrastructure, is crucial for economic power. It argues that token pricing dictates AI industry economics, requiring nations to treat token supply as a strategic resource akin to energy security.

Prominent tech businesses using AI intensively are facing high costs, particularly for agentic chain-of-thought applications. They are now shifting focus to tokenomics to assess the return on investment for large-scale AI spending.

A Silicon Valley software maker and an ecommerce company are addressing the challenge of 'tokenomics' as they use AI. They discussed with WIRED how they are managing the emerging issue of token usage in their operations.

The article titled 'Tokenomics: Quantifying Where Tokens Are Used in Agentic Software Engineering' explores the measurement of token usage in agentic software engineering. It links to a preprint on arXiv and a Hacker News discussion with 9 points and no comments.

The article analyzes SafeMoon's tokenomics model, highlighting how mechanisms like 10% tax, reflections, and liquidity claims created an illusion of trust. It questions whether these structures are verifiable and warns against conflating tokenomics with genuine trust.

Tastor, a blockchain-based platform, aims to address the 'signal problem' in AI-generated content by allowing users to rate content on-chain via EAS attestations. It rewards early raters whose scores align with future consensus, using a fixed-token supply model with emissions for rewards. The project faces challenges in monetizing subjective taste but could become a valuable oracle layer for AI content quality.

Solana and Hyperliquid are leading in on-chain trading but face distinct challenges. Hyperliquid requires scalability and decentralization improvements, while Solana needs faster HFT and tokenomics adjustments. The market is betting on which will resolve issues first to dominate issuance, trade, and ownership.

The article outlines critical factors for launching a successful project on Solana, emphasizing strong fundamentals over hype. Key considerations include real use cases, solid tokenomics, liquidity management, security audits, avoiding fake volume, building authentic communities, and maintaining transparency.

Blankdotbuild, a Solana-based launchpad, is now live and focuses on post-launch token management. It offers integrated solutions for tokenomics, vesting, staking, community engagement, and updates, addressing gaps in existing launchpads. The platform features a 2% trading fee structure, customizable tokenomics templates, and on-chain staking with variable rewards.