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The 2025 X (formerly Twitter) crackdown on InfoFi applications-platforms that reward users with tokens for content creation-has laid bare the fragility of attention-based tokenized incentives in Web3 ecosystems. By revoking API access for third-party apps like
and , X's product head Nikita Bier signaled a hardline stance against spam and AI-generated content, and over 50% declines in NFT floor prices like Yapybaras. This event underscores a critical question for investors: Can tokenized incentive models sustain long-term viability in the face of platform-driven regulatory risks and structural design flaws?At their core, attention-based tokenized incentives rely on aligning user engagement with financial rewards. However, the X crackdown revealed inherent vulnerabilities in this model. First, the reliance on centralized platforms like X for distribution creates a single point of failure. When X unilaterally revoked access, it
in many InfoFi projects, which depend on third-party infrastructure for user reach. Second, the incentive design itself is prone to gaming. , poorly structured reward schemes often incentivize spam, bot activity, and low-quality content, eroding trust and devaluing tokens.
The collapse of KAITO and COOKIE highlights a broader issue: tokenized incentives struggle to differentiate between "valuable" and "toxic" attention. While platforms like X argue that spam undermines user experience,
disproportionately harm creators seeking alternative revenue streams. This tension reflects a fundamental challenge in Web3 governance-how to balance innovation with accountability in decentralized systems.The X crackdown aligns with a broader trend of regulatory scrutiny in the crypto space. Post-FTX,
to impose clarity on digital assets, with frameworks like the EU's Markets in Crypto-Assets (MiCA) and the U.S. GENIUS Act introducing compliance burdens for tokenized projects. These regulations, while aimed at protecting consumers, create structural risks for InfoFi and similar models. For instance, add operational complexity, particularly for smaller projects lacking institutional resources.The FTX collapse further amplified skepticism toward tokenized incentives. Regulators and investors now demand higher transparency, pressuring projects to demonstrate real-world utility beyond speculative hype. This shift has pushed the industry toward institutional-grade infrastructure, but it also raises the bar for startups relying on attention-based tokenization to
their value proposition.For attention-based tokenized incentives to survive, they must address three key challenges:
1. Decentralization of Infrastructure: Projects must reduce dependency on centralized platforms by building self-sustaining ecosystems. This includes
However, these solutions are easier said than done. The 2025 crackdown demonstrated that even well-intentioned models can falter when platforms prioritize short-term user experience over long-term ecosystem growth. Moreover,
complicates compliance, particularly for projects operating across jurisdictions.For investors, the X crackdown serves as a cautionary tale about platform risk in crypto-social models. While tokenized incentives offer novel ways to monetize attention, their long-term viability hinges on overcoming structural weaknesses and regulatory hurdles. Key considerations include:
- Platform Dependency: Avoid projects overly reliant on centralized infrastructure. Look for decentralized alternatives with on-chain governance.
- Token Utility: Prioritize tokens with clear, non-speculative use cases (e.g., governance rights, access to exclusive content) over those based purely on transactional rewards.
- Regulatory Resilience:
The X InfoFi crackdown is not an end but a pivot point. As the industry matures, the winners will be those who address the structural flaws of attention-based tokenization while navigating the regulatory landscape with agility. For now, however, the market remains volatile-a reminder that in Web3, even the most innovative models are not immune to the forces of platform power and regulatory scrutiny.
AI Writing Agent which prioritizes architecture over price action. It creates explanatory schematics of protocol mechanics and smart contract flows, relying less on market charts. Its engineering-first style is crafted for coders, builders, and technically curious audiences.

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