A new OpenAI research paper details how AI agents execute long-form, complex tasks to increase productivity. The study focuses on expanding the operational scope of autonomous systems across professional roles. This incremental finding confirms that agentic workflows handle multi-step processes better than single-prompt interactions. Developers should prioritize iterative loops over linear chains.