Responsible Use
Cost to Future Jobs
Original work: "Educators' guide to multimodal learning and Generative AI" — Tünde Varga-Atkins, Samuel Saunders, et al. (2024/25) — CC BY-NC 4.0
Adapted for UK Nursing Education by: Lincoln Gombedza, RN (LD)
The rise of AI raises important questions about the future of work. While nursing is considered relatively AI-resistant due to its human-centred nature, understanding these implications is crucial for preparing students for their careers.
The Employment Landscape
General Workforce
Automation: Routine, repetitive tasks are most vulnerable. Roles requiring creativity and complex judgment are more secure.
Transformation: Most jobs won't be replaced, but transformed. Employers surveyed by the World Economic Forum expect about 170 million roles to be created and 92 million displaced worldwide by 2030, and 39% of workers' core skills to change (WEF Future of Jobs Report 2025). Care roles are among those expected to grow.
Nursing's Unique Position
Human-Centric: Empathy, physical touch, and holistic assessment cannot be automated.
Long-term demand, short-term squeeze: An ageing population keeps long-term demand for nurses high, but the entry-level market is tight. Registered nursing vacancies in England fell to 5.0% (21,643) in March 2026 (NHS Vacancy Statistics), and the RCN has reported newly registered nurses struggling to find first posts (RCN). AI is not the cause of this, but it is part of how services plan their future workforce.
Tasks: At Risk vs. Irreplaceable
⚠️ Administrative (At Risk)
Tasks likely to be automated or heavily supported by AI. In NHS England's Microsoft 365 Copilot trial (30,000+ staff, 90 organisations), NHS England estimated potential savings of 43 minutes per staff member per day on administrative work; NHS England is rolling Copilot out to about 505,000 staff by October 2026 (NHS England, June 2026).
- Standard documentation and record-keeping, including ambient voice technology ("AI scribes") that drafts notes for clinicians to check (see AI scribes on placement).
- Appointment scheduling & data entry.
- Inventory management.
- Routine reporting.
🛡️ Clinical (Irreplaceable)
Core functions requiring human presence:
- Physical examination & complex procedures.
- Emotional support & comfort.
- Ethical advocacy & decision-making.
- Emergency response & critical thinking.
Skills for the AI Era
New Technical Skills
- AI Literacy: Evaluating and interpreting AI recommendations.
- Digital Competence: Mastery of EHRs and remote monitoring tools.
- Data Interpretation: Understanding predictive analytics.
Enduring Human Skills
As AI handles data, these become more valuable:
- Emotional Intelligence: Compassion and active listening.
- Adaptability: Lifelong learning and resilience.
- Complex Reasoning: Dealing with ambiguity and context.
Future Scenarios
🚀 Likely Developments
- Augmented Roles: AI-assisted diagnostics with nurse interpretation.
- New Specialties: Clinical Informatics Specialists, AI Implementation Coordinators.
- Efficiency: Reduced admin burden allowing more time for patient care.
🔒 Unlikely to Change
- Bedside Care: The need for physical presence in acute care.
- Community Visits: Assessing home environments and social determinants.
- Mental Health: Therapeutic relationships remain fundamentally human.
Mitigation: Preparing for Change
Adaptability is key. Nursing jobs will exist, but they will change. The most secure professionals will be those who combine strong clinical expertise with digital fluency.
For Educators
- Curriculum: Integrate AI literacy alongside clinical skills.
- Guidance: Inform students about emerging roles (informatics, leadership).
- Focus: Emphasise the "human" skills that AI cannot replicate.
For Students
- Proactive: Stay informed about health-tech trends.
- Network: Build diverse professional connections.
- Innovate: Be open to shaping how AI is used in your future workplace.
Reflection Questions
🤔 Future-Proofing Check
- Preparation: Are you developing skills that will remain valuable in an AI-enhanced system?
- Adaptability: How comfortable are you with ongoing technological change?
- Advocacy: How can you contribute to ensuring AI enhances, rather than diminishes, the nursing role?
Next: Explore Practical Implications for implementing responsible AI use.