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Researchers speaking at the Association of Health Care Journalists Fall Summit warned that AI in healthcare can affect workers beyond replacing jobs. They cited risks including loss of clinical skills, closer monitoring, reduced autonomy and weaker patient relationships; the scale of these effects remains uncertain.
Researchers at the Association of Health Care Journalists Fall Summit warned that artificial intelligence in healthcare could harm workers even when it does not eliminate jobs, raising concerns about clinical skill loss, surveillance and patient relationships. Mishal Khan of UC Berkeley’s Labor Center said the effects depend in part on how much power workers have over the technology and its use.
Khan described three broad workplace uses of AI: electronic monitoring, such as cameras tracking workers; algorithmic management, in which software monitors or coaches interactions; and automation that takes over particular job tasks. These systems can affect how work is assigned, evaluated and performed, she said.
In a study of AI’s potential effects in healthcare, Khan identified deskilling—workers losing specialized abilities as systems take over tasks—as a particular concern for healthcare roles and their scope of practice. She also listed possible risks including job losses, lower wages, work speed-ups, discrimination, reduced autonomy and suppression of labor organizing. These were described as potential harms, not as measured outcomes across the healthcare sector.
Stanford biomedical informatics professor Tina Hernandez-Boussard offered an example from a separate conference session: medical residents sent to support a hospital cardiac ward in Uganda lost access to electricity and could not use AI to read electrocardiograms. Hernandez-Boussard said the residents were not confident synthesizing the information to make recommendations. The account illustrates a concern about reliance on automated tools, but does not establish how common such problems are.
AI Could Change Clinical Work
The concerns go beyond whether AI replaces positions. If workers rely on automated systems for tasks that require clinical judgment, they may have fewer opportunities to maintain or practice those skills. That could affect staff confidence and scope of practice, particularly when a system is unavailable or its output cannot be trusted.
Khan also raised concerns about automated patient handoffs and the possible effects on relationships between workers and patients. The spread of ambient scribe systems adds questions about what data are collected about clinicians, how those data may be used, and who is responsible when an AI recommendation contributes to an error. The report did not establish that such systems have caused particular harms; it identified issues workers are asking about.
For healthcare workers, patients and employers, the stakes include how jobs are organized and who is accountable for decisions. The report points to a need for scrutiny of workplace rules and safeguards alongside claims about efficiency or convenience.
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How Workplace AI Is Used
The report, published by MedPage Today on October 13, 2026, covered remarks at the Association of Health Care Journalists Fall Summit in Los Angeles. Khan, a senior researcher with the UC Berkeley Labor Center’s Technology and Work Program, framed AI as part of a longer history of digital tools used to increase the extraction of labor and worsen working conditions. That is her assessment of technology’s workplace effects, not a finding that every AI deployment has the same result.
Khan warned that healthcare jobs could face “gigification,” in which algorithmically managed platforms assign shifts or influence pay. She gave the example of nursing platforms where nurses might bid for shifts and algorithms might estimate the lowest wage a nurse would accept. The report presents this as a possible development, not a description of an established industry-wide practice.
Some governments have begun addressing specific uses. Khan said bills passed in Illinois and Vermont bar replacing mental health workers with AI, and that a California law prohibits companies from advertising an AI chatbot as a health professional. She also said a California bill was under consideration that would prevent workers from having to train their replacements, including an AI replacement.
“Even if they don’t lose a single job to AI, it doesn’t mean there are no harms to workers.”
— Mishal Khan, senior researcher at the UC Berkeley Labor Center
Scale of Workplace Effects
The report does not quantify how many healthcare workers have experienced the risks Khan described, or how often AI has caused deskilling, wage changes, injuries or damage to patient relationships. The Uganda account is an example shared at a conference session; the report provides no further details about the hospital, the residents’ prior training or what happened to patient care.
It is also unclear how widely nursing platforms use algorithms to set shift offers or estimate wages, and whether the California proposal concerning replacement training will advance. The report does not provide details on enforcement or implementation of the state measures Khan cited. More evidence would be needed to assess the prevalence and effects of these practices across different healthcare settings.
Policy and Workplace Decisions
The next developments will depend on how healthcare employers deploy AI, what protections workers receive and whether state proposals become law. The California bill described by Khan was still under consideration at the time of the report; no further legislative timetable or outcome was provided.
Workers, employers and policymakers will also face questions about data collection by ambient scribes, responsibility when AI recommendations contribute to mistakes, and how staff retain the ability to perform tasks without automated support. The report did not identify a single forthcoming review or deadline, so those issues remain part of ongoing policy and workplace debate.
Key Questions
What did researchers warn about at the summit?
They said workplace AI could affect healthcare workers through monitoring, task automation and algorithmic management, with potential consequences for skills, autonomy, pay and patient relationships. The report did not quantify how common those effects are.
Does the report say AI is already replacing healthcare workers?
No. Khan said workers can experience harms even if they do not lose jobs to AI. The report discusses job loss as one possible risk, not as a confirmed sector-wide outcome.
What is deskilling in this report?
Deskilling refers to workers losing or not developing specialized abilities when automated tools take over tasks. Khan said it could affect healthcare workers’ scope of practice; the report does not quantify the extent of the effect.
What state actions did the report mention?
Khan said bills passed in Illinois and Vermont prohibit replacing mental health workers with AI, and that a California law bars companies from advertising an AI chatbot as a health professional. She also described a separate California bill about requiring workers to train their replacements, including AI, as under consideration.
Source: rss
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