Investing in AI agents requires a strategic approach beyond merely following trends, as the initial phase of pure AI meme investment has passed. The information gap has significantly narrowed with many developers and VCs focusing on AI agents.
Allocate your large positions to established AI agent projects like #ai16z, #ZEREBRO, $AIXBT, $GOAT, and #VIrtual, which have already proven their consensus in the market. This strategy prioritizes stability over short-term gains.
Medium-sized investments should be directed towards AI projects in the competitive phase, like $arc, $REI, $Focai, $ELIZA, $Swarms, $SPORE, $SNAI, $ALCH, and $NEUR, focusing on technical framework standards and innovative models for growth potential.
For smaller investments, consider exploring various small-scale AI projects that show potential but require less research due to market volatility, such as $MetaV, $stoic, $SYMX, $TAOCAT, $ZAILGO, and $POLY. This approach aims at capturing speculative opportunities.
Avoid the pitfalls of frequent portfolio changes, chasing highs, neglecting to take profits, holding onto failing investments, and under-researching. A disciplined investment strategy is crucial in the AI agent market.
Continuous research and understanding of the investment logic are essential, especially for larger positions which should be based on thorough due diligence to ensure long-term certainty.
AI agents are expected to play a significant role in blockchain and DeFi, automating trading strategies, enhancing market analysis, and improving security, which could lead to substantial growth and opportunities in the sector.
