Lasso Security research reveals that AI text watermarks, intended to identify machine-generated content, unexpectedly alter how language models behave as agents. Testing seven models showed watermarking causes "sampling drift" that changes tool selection and arguments in 6.5% of tasks on average, with some models showing disagreement rates exceeding 16%, potentially causing AI agents to make wrong decisions despite modest overall accuracy changes.