A new research paper from OpenAI details how AI agents execute complex, multi-step tasks to increase productivity. The findings show agents handling longer sequences of operations than standard LLM prompts. This shift moves the needle from simple chat interfaces toward autonomous task completion. Practitioners should prioritize building agentic loops over single-turn interactions.