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)
Last Updated: December 2025
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. Hybrid roles combining human and AI capabilities are emerging.
Nursing's Unique Position
Human-Centric: Empathy, physical touch, and holistic assessment cannot be automated.
High Demand: With an aging population and chronic disease prevalence, the demand for human nurses continues to outstrip supply.
Tasks: At Risk vs. Irreplaceable
⚠️ Administrative (At Risk)
Tasks likely to be automated or heavily engaged with AI:
- Standard documentation & record-keeping.
- 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 remains strictly 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.