According to @lookonchain, a whale/institution spent $23M accumulating AI agent tokens on Base and exited today for $2.58M, locking in a $20.43M (−88.77%) realized loss (source: @lookonchain, Dec 16, 2025). The cited breakdown shows $FAI at −$9.87M (−92.31%) and $AIXBT at −$7.81M (−83.74%), with $BOTTO also among the sold assets on Base (source: @lookonchain).

According to @EmberCN, a whale who bought multiple AI Agent tokens during the early-year hype with $31.12M fully liquidated this morning, receiving only $2.57M back and realizing a $28.54M loss (-92%) (source: @EmberCN on X, Dec 16, 2025). The realized losses include $15.89M on $AIXBT (-91%) and $9.87M on $FAI (-92%) (source: @EmberCN on X, Dec 16, 2025). $NFTXBT was also among the tokens sold as part of the exit, with no detailed loss figure disclosed in the post (source: @EmberCN on X, Dec 16, 2025). The post characterizes the liquidation as occurring after the AI Agent wave receded, underscoring severe drawdowns in the segment (source: @EmberCN on X, Dec 16, 2025).

According to DeepLearning.AI, CB Insights has released its 2024 AI 100 list, featuring early-stage non-public startups demonstrating robust market traction, financial health, and growth potential. Notably, over 20 percent of the selected companies focus on AI agents and infrastructure, indicating a significant trend in foundational AI technology development. This surge in AI infrastructure and agent startups is expected to drive demand for blockchain-based solutions related to secure data handling and decentralized computation, potentially impacting crypto asset valuations tied to AI utility and infrastructure tokens. Traders should monitor tokens and projects linked to AI and blockchain convergence, as increasing institutional and venture capital interest in AI can translate into greater capital flows into crypto markets with overlapping use cases (source: DeepLearning.AI on Twitter, May 7, 2025).