While they ended 2024 as one of the most trending digital assets, artificial intelligence (AI) agent tokens often fail to last the distance, with 88% of those launched already dead. According to a study conducted by Phut Crypto, AI agent tokens have an average lifespan of just 17 days. Moreover, the study determined that 75% of traders involved in AI agent tokens are at a loss.

These findings show that while AI agent tokens have garnered much attention, the majority of users holding these tokens are not seeing the returns they expected. To illustrate how far behind AI agent tokens are, the study compared the returns of AI16z, an AI-operated decentralized autonomous organization (DAO), with those of the venture capital firm A16z.

While AI16z has a positive return on investment (ROI) of 150%, it is nowhere near the 980% garnered by A16z, which has built a reputation for making shrewd investment decisions. AI16z’s portfolio, meanwhile, consists of about 72% projects that are considered dead, indicating that AI-driven investments have yet to match human capabilities in identifying or making the right investment choices.

Despite falling short compared to human-driven investments, AI agent tokens are still predicted to have explosive growth in 2025, according to several institutions. Consequently, the Phut Crypto study warns users to be cautious about fully entrusting AI with crucial investment decision-making.

Meanwhile, the study also highlights the growing role of AI agent influencers in shaping investors’ perceptions of certain projects with market capitalizations under $20 million. As noted in the report, positive comments from the AI agent influencer aiXBT helped drive up token prices. However, when the comments are negative, the price drop is often steeper.

“In these cases, positive mentions can trigger a price surge of 12.54%, while negative mentions cause prices to plummet by 48.43%. This stark contrast highlights the powerful role AI agents like aiXBT play in shaping market movements, particularly within vulnerable, smaller projects,” the study concludes.

To succeed long-term, the study states that AI agents must expand into areas like decentralized finance AI (DeFAI), DAOs, and AI gaming, providing user-friendly experiences. Investors, on the other hand, should exercise caution due to the evolving market and implementation challenges, balancing potential rewards with risk management.

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