Artificial intelligence is quickly becoming part of everyday clinical practice, but new data shows adoption is not happening evenly across the healthcare workforce. While physicians are using AI at higher rates, nurses are rapidly increasing their use of the technology and many believe it could significantly improve patient care, outcomes, and workflow efficiency.
For healthcare employers facing persistent staffing shortages, this trend matters. As hospitals and care facilities modernize, the demand for a highly skilled nursing workforce is growing. That includes international nurses who are prepared to work in technology-enabled care environments in the United States.
For healthcare organizations seeking long-term staffing solutions, understanding how nurses view AI is no longer optional. It is part of a broader conversation about workforce readiness, nurse recruitment, and the future of global healthcare staffing.
Nurses Are Using AI More Often, but Gaps Remain
According to Elsevier’s Clinician of the Future 2026 report, nurses are embracing AI more than they were just a year ago. Nearly half of nurses surveyed said they now use AI at work, reflecting a substantial increase from 2024.
Even so, physicians continue to outpace nurses in regular AI use. The report found that 41% of nurses report using AI regularly, compared to 57% of physicians. Among clinicians who use AI, only 30% say they regularly use tools designed specifically for clinical settings. In many cases, clinicians are turning to general-purpose AI tools when specialized healthcare technology is unavailable.
This distinction is important. Clinical environments require tools built for patient safety, compliance, and workflow integration. When those tools are lacking, clinicians may use public AI platforms that were not developed for the realities of patient care.
For hospitals and healthcare systems, that signals a need for better implementation, stronger training, and smarter hiring strategies especially as nurse shortages continue to strain operations.
Nurses Want a Stronger Voice in AI Decision-Making
One of the most telling findings from the report is that many nurses do not believe their perspectives are being adequately represented in AI development and decision-making.
Forty-one percent of nurses said their views are rarely or never reflected in AI-related decisions. By contrast, only 19% of physicians felt nurses’ perspectives were being overlooked.
This gap highlights a familiar challenge in healthcare leadership: nurses are on the front lines of patient care, yet their practical experience is not always centered in conversations about innovation. Since nurses play a critical role in care coordination, patient monitoring, and communication, their input is essential when healthcare organizations adopt new technology.
Employers that want successful AI implementation should ensure nurses are included early and often. That is especially true when onboarding international nurses, who bring valuable clinical insight, adaptability, and global experience to the workforce.
AI Is Becoming Essential to the Future of Clinical Practice
Despite current concerns, clinicians overwhelmingly agree that AI will become a major part of healthcare delivery in the years ahead.
The report found that 80% of respondents believe AI will become a critical assistant within the next decade. Nearly as many 79% said AI skills will be essential in clinician training.
That means healthcare employers are not just hiring for today’s staffing needs. They are building tomorrow’s workforce.
As hospitals invest in digital transformation, they will need nurses who can thrive in evolving care environments. This includes familiarity with electronic health records, digital documentation, telehealth platforms, and AI-supported clinical systems.
International nurse recruitment can play an important role here. Many internationally educated nurses bring strong clinical training, multilingual communication skills, and experience working in high-demand care settings. With the right immigration support and onboarding process, they can become a vital part of a future-ready workforce.
Training and Trust Are Still Major Obstacles
Even as enthusiasm for AI grows, many clinicians say they are not receiving the support they need to use it confidently.
Elsevier’s findings show that 68% of respondents reported insufficient AI training. In addition, 60% said they lack confidence in AI governance and oversight.
These concerns are understandable. Healthcare professionals need to know that the tools they use are accurate, ethical, secure, and designed to support not replace clinical judgment.
For employers, this presents both a challenge and an opportunity. Organizations that combine workforce expansion with high-quality training will be better positioned to improve retention, support patient safety, and strengthen trust in new technology.
This is particularly relevant when hiring foreign-trained nurses. International nurses already navigate complex transitions involving licensure, credentialing, visa sponsorship, and workplace integration. When healthcare employers pair immigration planning with meaningful orientation and technology training, they create a stronger path to long-term success.
Nurses Are Optimistic About AI’s Impact on Patient Care
Although nurses use AI less frequently than physicians, they appear to be more optimistic about its potential benefits in several important areas.
Among nurses surveyed:
- 61% believe AI will improve care quality
- 59% believe it will improve patient outcomes
- 46% believe it will enhance their professional autonomy
This optimism matters. Nurses are often the clinicians spending the most direct time with patients. When they see potential in a tool, it suggests that AI may be valuable not only for administrative efficiency, but also for bedside care, patient education, and clinical decision support.
For healthcare employers, that optimism can be a foundation for innovation. It indicates that nurses are not resistant to change they are looking for practical, effective tools that make care better and work more manageable.
That same mindset is often seen in internationally recruited nurses, who frequently demonstrate resilience, adaptability, and a willingness to learn new systems quickly. In a labor market defined by shortages and rising patient demand, these qualities are incredibly valuable.
Time Savings Remain a Key Concern
One area where nurses appear more cautious is time savings.
Among nurses, 55% said they believe AI will save them time. Among physicians, that number was significantly higher at 70%.
This difference may reflect the reality of nursing work. Nurses often manage highly variable, hands-on responsibilities that cannot easily be streamlined by software alone. Documentation support, workflow automation, and predictive tools may help, but much of nursing still depends on human presence, judgment, and responsiveness.
That is why technology alone cannot solve the nursing shortage. AI may improve efficiency, but it cannot replace the need for qualified nurses at the bedside.
For hospitals, medical groups, and long-term care providers struggling to maintain adequate staffing levels, international nurse staffing remains one of the most effective long-term solutions. Hiring globally can help healthcare organizations reduce vacancy rates, improve continuity of care, and meet growing patient needs while building a more stable workforce.
What This Means for Healthcare Employers
The rise of AI in nursing does not reduce the need for nurses it increases the need for well-supported, well-trained professionals who can work effectively in modern clinical settings.
Healthcare employers should take several lessons from these findings:
1. Technology adoption must include nurses
If nurses are expected to use AI tools, they should have a voice in selecting, evaluating, and improving them.
2. Training is no longer optional
As AI becomes more integrated into clinical practice, healthcare organizations must provide practical education and support.
3. Staffing shortages still require immediate action
AI may improve workflows, but it cannot fill open shifts or solve chronic nurse vacancies on its own.
4. International nurse recruitment is part of the future
To remain competitive, many healthcare organizations will need to look beyond domestic hiring pipelines and invest in global nurse talent.
That is where experienced legal guidance becomes essential. Sponsoring international nurses requires careful planning around immigration pathways, visa strategy, credentialing timelines, and compliance requirements. Employers need a partner who understands both healthcare workforce demands and U.S. immigration law.
Why International Nurses Are Critical to the Future of Care
As healthcare delivery evolves, the strongest organizations will be those that combine innovation with workforce stability. AI can support clinicians, improve processes, and expand access to information. But patient care still depends on people especially nurses.
International nurses are helping healthcare employers close staffing gaps, support underserved communities, and strengthen care teams across the country. In a market where demand continues to outpace supply, global nurse recruitment is no longer a backup plan. It is a strategic necessity.
For hospitals, skilled nursing facilities, home health agencies, and other healthcare providers, the question is not simply whether technology will shape the future of care. It is whether the workforce will be strong enough to meet that future.
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