AI-Proof Your Career: The Jobs That Will Thrive in the Future

Entering the world of work often brings uncertainty, but now there's another question: how can I AI-proof my career? We asked experts across industries about AI's impact on jobs and which roles are less affected. While it's early days, here's how to prepare for a successful career in this new world.

Medicine

'Pharmacists, doctors, nurses and other prescribing clinicians will have a role'

Some healthcare jobs most vulnerable to AI disruption include medical secretaries, pharmacy support staff, prescription processing, and call handling teams, says Hira Malik, a superintendent pharmacist. These admin-led roles involve set forms, records, or patient queries rather than clinical decisions. While they won't disappear completely, many tasks could become automated.

Malik says pharmacists, doctors, nurses, and other prescribing clinicians remain far less susceptible because they carry responsibility for patient safety and treatment decisions. "AI can help organise information and flag risks, but it cannot decide whether treatment is safe or appropriate."

Some specialities like plastic surgery are unlikely to be replaced due to their highly individual nature, but areas like radiology are more at risk. Consultant plastic surgeon Dr Riaz Agha says: "Plastic surgery is too bespoke and too individualised." However, AI may help surgeons analyse past cases. Radiology is "particularly vulnerable" as AI can interpret scans with high accuracy, but radiologists may evolve rather than disappear. His advice: future doctors should learn to use AI "properly and understand both its strengths and limitations."

Education and Early Years

'Childminding is one of the careers least likely to be replaced by AI'

In education, AI is most likely to affect administrative and routine teaching support roles rather than fully replacing teachers. "Teaching is an excellent one," says Sharath Jeevan of Oxford University's Generational Success Lab. "Students will always need trusted adult relationships to help them learn."

Childcare is another area expected to continue employing people. Brett Wigdortz of Tiney says childminding is unlikely to be taken over by technology. While AI can support communication and organisation, "people want a human being to take care of their children."

Demand for childcare is strong, with places filling quickly. Childminding offers flexible, home-based work with good earning potential. Other related jobs include managing nurseries, high-end nannying, or tutoring.

Law

'As AI lowers the cost of delivering legal services … more jobs could be available'

Paralegal and junior lawyer roles are most affected by AI because they involve routine work like document reviews, drafting legal documents, and completing forms. "These are all tasks AI is especially strong at," says Pierre Proner of Lawhive. However, AI won't eliminate entry-level legal jobs—they will change. Junior lawyers will focus earlier on applying legal judgment and client interaction, as well as supervising AI work. "AI still needs oversight."

Brett Dixon of the Law Society says automating routine tasks could create "more time and opportunities for junior lawyers to think more deeply about complex legal issues."

Less routine legal areas like family law or litigation are less directly affected. However, AI can still help prepare for court cases and run back-office functions efficiently. One challenge is determining progression paths from junior to senior lawyers when traditional training tasks are automated. Graduates should develop AI skills now—they're becoming as important as proficiency in Word or Excel. Firms are increasingly assessing candidates on their ability to use AI. As AI lowers costs, more jobs could become available.

Hospitality

'Human-to-human connection should not be replaced by AI'

Prof Graham Miller says AI could reshape hotel jobs, shifting employment from back-office to front-office, customer-facing roles. Human staff will always be needed. "I was recently in a hotel in Barcelona, and the staff were amazing—genuinely warm, human, and welcoming. There is no way AI is doing that kind of job."

AI should handle routine tasks like answering emails, freeing staff to genuinely connect with guests. Creative roles like chefs are less vulnerable to AI than routine operational jobs. AI struggles to replicate genuinely creative human work but may expose mediocre work. Routine culinary tasks like "flipping burgers or making pizza" could be automated, but AI is "not there yet" for innovative cuisine.

Trades

'Hands-on trades such as bricklaying or carpentry offer career opportunities'

Brian Berry of the Federation of Master Builders says AI is reshaping parts of construction but its impact will be uneven. "Hands-on trades such as bricklaying, carpentry, and plastering are less exposed to AI and continue to offer strong, long-term career opportunities," especially with small local firms. Large-scale projects may see automation in the future, but it's still a way off.

White-collar and administrative office roles are being hit, including some in planning and estimating. Berry expects more people to recognise the value of practical trades. However, perception remains a challenge—fewer than half of parents would recommend a construction career. "With growing demand for skilled trades and the resilience of these roles in the face of AI, construction offers a rewarding, future-proof career path."

Banking and Finance

'Demand should rise for data scientists and AI engineers'

Tomasz Noetzel of Bloomberg Intelligence says jobs most affected by AI in banking include call centre, customer service, middle-office operations, retail branch employees, and IT support. These involve repetitive work that AI can handle. "That does not mean these jobs disappear overnight."

"Demand should rise for data scientists, AI engineers, software developers … with banks expecting growth in technology and data-related roles." Clients want up-to-date investment portfolio information, which AI can provide. "Few banking jobs will be untouched, but high-judgment, specialist roles appear relatively resilient." Least exposed categories include research analysts, compliance and surveillance analysts, risk-modelling specialists, and internal auditors. Credit underwriting increasingly uses AI, but banks emphasise human oversight.