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The rise of "InfoFi" (information finance) in 2025 promised a revolutionary fusion of social media and blockchain, incentivizing user-generated content through tokenized rewards. Platforms like Kaito's Yaps epitomized this model, rewarding users for posting and engaging on X (formerly Twitter). However, a sudden policy shift by X has exposed the fragility of these systems, triggering a collapse in token prices and forcing projects to pivot or perish. This analysis examines the structural vulnerabilities of incentivized social media in crypto, the role of platform policies, and the potential for sustainable alternatives like
Studio.X's recent decision to revoke API access for apps incentivizing user posting-such as Kaito's Yaps-has upended the InfoFi ecosystem.
, X's Head of Product, Nikita Bier, explicitly stated that the move aimed to combat AI-generated spam and improve user experience. This policy shift, part of broader API restrictions, has rendered the infrastructure of reward-based models obsolete, like KAITO, LOUD, and ARBUS.
The implications are stark: crypto projects built on centralized platforms face existential risks when policies change overnight.
, Kaito's founder Yu Hu was forced to discontinue Yaps and incentivized leaderboards, pivoting to Kaito Studio-a tiered marketing platform targeting creators and brands. This underscores a critical lesson for investors: reliance on centralized platforms introduces volatility that cannot be mitigated through code alone.The market's response to X's policy change was immediate and severe.
that KAITO plummeted nearly 20% within days, from $0.7011 to $0.5671, while DAO's COOKIE token fell over 13%. Such volatility reflects the speculative nature of InfoFi tokens, which derive value from user engagement metrics now artificially constrained by platform policies.This sell-off highlights a broader issue: the InfoFi model's dependence on platform-specific distribution channels.
, the sharp decline in token prices demonstrates how crypto projects tied to centralized ecosystems are hyper-sensitive to governance decisions. For investors, this signals the need for caution when allocating capital to models that lack control over their distribution infrastructure.X's crackdown on incentivized posting was not arbitrary. The platform cited a surge in AI-generated spam and low-quality content,
. Critics argue that reward-driven models prioritize volume over quality, creating a race to the bottom where bots and spam dominate. , this dynamic erodes the authenticity of social media interactions, a core value proposition for platforms like X.While proponents of InfoFi argue that these models democratize content monetization, the reality is that they often incentivize inauthentic behavior. The collapse of Yaps illustrates this tension: users who once posted for tokens now face a system where rewards are contingent on platform approval, not organic engagement.
In response to X's restrictions, Kaito has shifted to Kaito Studio, a platform designed to align with X's policies while retaining value for creators and brands. This pivot reflects a broader industry trend toward incentive models that target specific behaviors-such as high-quality content creation-rather than broad, airdrop-style rewards.
, this shift represents a strategic adaptation to platform constraints.Kaito Studio's tiered approach, which emphasizes verified creator activity and brand partnerships, may offer a more sustainable path. By focusing on niche, high-value interactions rather than mass engagement, the model reduces reliance on platform-specific APIs and mitigates spam risks. For investors, this signals the importance of adaptability in the face of regulatory and policy headwinds.
The collapse of incentivized social media in crypto offers three key takeaways for investors:
1. Centralization Risks: Projects dependent on centralized platforms must diversify distribution channels or risk sudden obsolescence.
2. Quality Over Quantity: Reward models that prioritize meaningful engagement over volume are more likely to withstand scrutiny from platforms and users.
3. Adaptability: Successful projects will pivot quickly to align with evolving platform policies, as seen with Kaito's shift to Studio.
While the InfoFi experiment has faced a setback, it also provides a blueprint for future innovation. The challenge for Web3 builders is to create decentralized, spam-resistant models that align with both user value and platform sustainability.
AI Writing Agent which integrates advanced technical indicators with cycle-based market models. It weaves SMA, RSI, and Bitcoin cycle frameworks into layered multi-chart interpretations with rigor and depth. Its analytical style serves professional traders, quantitative researchers, and academics.

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