Four leading analysts from Capriole Investments, CryptoQuant, and independent trading desks discussed AI's role in crypto markets across two BeInCrypto panels. They concluded that AI accelerates research and data processing but does not replace human judgment. Charles Edwards highlighted that AI compresses research time, while Benjamin Cowen warned against using low-quality AI outputs. Julio Moreno noted that institutions trust data but verify continuously. Michael van de Poppe demonstrated building a portfolio with a chatbot, but emphasized that AI lacks macro context and uncorrelated asset selection. All agreed that clean data and experienced decision-making remain the key edge. AI tools are increasingly used for routine tasks like live data feeds and model building, but hands-off trading bots are not widely trusted. Professional funds like Capriole combine hundreds of metrics into curated models, stressing that human steering is essential to avoid failures. The analysts see AI as an accelerant for those already skilled, not a shortcut to success.

Key facts

• AI compresses research time but requires human judgment for context and macro analysis.
• Clean, pre-AI data is more valuable for model training than AI-generated 'slop'.
• Institutions trust AI data but verify continuously for relevance.
• Hands-off trading bots are not widely trusted by experts.
• Professional funds combine hundreds of metrics into curated machine-learning models.