Pawan Verma, chief data and information officer at Cencora, argued that the stakes in healthcare leave no room for error. He maintains that when automated systems influence patient outcomes, precision must reach 100% rather than simple proximity to accuracy. To manage this tension, Verma encourages staff to maintain a healthy balance between technological fascination and the fear of potential oversight failures.

This sentiment is mirrored across industries, including finance and employment services. Deepa Soni of New York Life highlighted the need for disciplined processes when deploying AI into sensitive infrastructure. Meanwhile, Anthony Moisant at Indeed warned that the most dangerous risks often stem from human judgment errors during system design. For a platform connecting millions to employment, a single flawed decision could derail lives, making cost transparency and privacy non-negotiable components of their development lifecycle. These concerns align with broader industry discourse, including recent calls from Anthropic CEO Dario Amodei for a more measured pace in developing high-stakes tools.