Expert Warns of AI's Risks to Healthcare Workforce
Speaking at an Association of Health Care Journalists summit, a UC Berkeley researcher said AI can harm healthcare workers even when it does not eliminate jobs. The risks include electronic monitoring, algorithmic management, task automation, de-skilling, lower wages, discrimination, and reduced worker autonomy. Another speaker noted that de-skilling could affect clinicians' scope of practice.
At the Association of Health Care Journalists Fall Summit in Los Angeles, UC Berkeley Labor Center researcher Mishal Khan described three workplace uses of AI: camera-based tracking, software-directed management, and assigning discrete tasks to machines. She tied these to possible harms such as displacement, unpaid work product, skill erosion, reduced pay, faster pace and injury, bias, weakened organizing, and less control.
Khan also warned about gig-style healthcare work, with algorithm-managed nursing platforms where nurses bid for shifts and software may estimate the lowest acceptable wage. Stanford's Tina Hernandez-Boussard described residents in Uganda who, without electricity or AI EKG tools, lacked confidence synthesizing cardiac information. Some states have passed or considered laws addressing AI replacement and chatbot advertising.
AI adoption may reshape healthcare work by intensifying monitoring, altering skill mixes, and shifting accountability. Workers could face less autonomy, wage pressure, or skill erosion, while patients may be affected if clinical judgment weakens or care relationships become more detached. Health systems and policymakers may need to weigh efficiency gains against workforce stability, safety, and equitable treatment.