Artificial Intelligence and the Future of Healthcare: Emerging Jobs and Skills in 2035

Abstract

As artificial intelligence (AI) continues to transform healthcare in the coming decades, emerging positions will develop to meet future demands. This paper explores key healthcare occupations expected by 2035 as AI handles more routine medical work. With lifespans extended by advanced medicine, one growth area involves artificial organ specialists who design, test and maintain synthetic body parts for transplantation. The skills required entail robust training in engineering disciplines and materials science. Genetic engineering is another expanding domain building on progress in gene sequencing and editing techniques like CRISPR. Geneticists can specialize as designer baby experts, modifying embryos to prevent disease or improve attributes. Coursework in genetics, biology and bioethics prepares students for the complex moral dilemmas ahead. Though AI diagnosis and virtual treatment grow prevalent, the enduring role of human physicians persists. Doctors continually upgrade their skills as technology creates new specializations. Augmented intelligence allows physicians to process data and identify connections impossible to discern alone. Medicine also needs non-technological skills like empathy. With life expectancy rising over age 90 in advanced countries by 2035, geriatric services and long-term care facilities expand. Nursing homeowners and operators respond to surging demand from aging populations. Running these facilities calls for both medical knowledge and business acumen. As rapid change transforms skillsets, the need for continual reskilling intensifies. Re-skilling coaches assist workers in learning new competencies as old ones become automatable. A mix of humanities, sciences and vocational training equips adults for shifting workplace demands. Battery technology presents another vital field to address urgent energy issues. Improved power storage solves renewable intermittency problems and supports sectors from electronics to electric vehicles. Students should monitor promising advances in materials science, physics and nanotechnology to ride the energy storage wave. In conclusion, artificial intelligence promotes groundbreaking medical understanding alongside potential perils. Genomics, bionics, personalized medicine and human augmentation create novel specialties while aging populations require expanded custodial care. Through strategic education policies and re-skilling programs, students prepare to be both the disrupted and disruptors in the healthcare industry of the mid-21st century AI era.