AI-driven autonomous agents shift scientific research from software management to directive oversight

The integration of intelligent agents into scientific workflows is transitioning research methodologies from manual software operation to high-level directive management. This shift aims to accelerate discovery cycles, though the long-term impact on professional labor structures and research reproducibility remains uncertain.