Bottleneck in AI Agent Adoption - The primary obstacle is the lack of proper evaluation and benchmarking for AI agents within companies [2] - Companies are essentially "flying blind" because they lack the ability to assess the performance and impact of their AI agents [2] - Current AI agent capabilities in excelling at programming contests or math Olympiads do not directly translate to their effectiveness in specific job roles within a company [1] Importance of Evaluation - Evaluations or benchmarks are crucial for agent learning, enabling companies to teach AI agents and allow them to self-evaluate [2] - Without proper evaluation, companies risk deploying AI agents that could potentially cause significant disruption or "wreck havoc" [2] - Companies need to know how AI agents are performing before fully integrating them into the workforce [2] Understanding AI Agent Capabilities - A fundamental issue is that companies often lack a clear understanding of what their AI agents are actually doing [3]