My daughter wants a career that survives AI — so I ranked them

TL;DR

Father ranks 35 careers for AI resistance after his daughter shifts from vulnerable finance to diplomacy.
Healthcare tops scores at 91-98%; entry-level finance and accountancy postings down 44% since ChatGPT.
Parents should build children's emotional intelligence, dexterity and AI fluency for net job growth by 2030.

The story at a glance

Babith Bhoopalan, a Microsoft veteran with 25 years in AI, creates a framework scoring 35 careers on human strengths like emotional intelligence and AI vulnerability to guide his 16-year-old daughter Thea away from entry-level finance roles. Firms like KPMG have cut graduate intakes by 29% as AI takes repetitive tasks. The piece appears now amid rapid AI adoption in apprenticeships and offices.[[1]](https://www.thetimes.com/life-style/parenting/article/ai-proof-careers-advice-ffdrfljdq)

Key points

AI hits entry points first: UK accountancy graduate ads down 44%, overall entry-level postings nearly a third lower since ChatGPT; KPMG graduate cuts 29%, Deloitte 18%, EY 11%.
Framework scores careers out of 100% on nine categories; high scores rely on irreplaceables like ethical judgment (e.g. mental health counsellors 98%, surgeons 91-96%).
Top sectors: healthcare (91-98%), skilled trades (82-94%, need 104,000 electricians by 2032), education (78-88%), diplomacy (88-95%).
Vulnerable: paralegals (35%), junior analysts/accountants (38-50%), data entry (15-25%).
AI fluency boosts pay 56% (PwC data, doubled in 12 months); postings grow 3x faster than average.
WEF projects 170 million new jobs by 2030 despite displacements.
New roles blend skills: biomedical data scientist, clean energy engineer, AI policy specialist.

Details and context

Bhoopalan compiled data from 17 sources including WEF, Goldman Sachs, McKinsey and PwC into a 20-page document. He stresses AI creates net growth but removes ladder rungs, blocking experience paths without early action. Tools like Khan Academy’s Khanmigo suit any age; Google’s AI Essentials needs no tech background.

Age-based steps build readiness: for 10-12, foster curiosity through reading and arguing; 13-15, discuss AI impacts and test tool limits; 16-18, match careers to personal superpowers while prioritising AI skills, which carry visible wage premiums.

NHS faces shortages of 50,000+ nurses and mental health roles, with 1 million UK openings projected in 20 years (starting £32,000, up to £50,000+). Skilled trades offer 227 apprenticeship spots per opening, averaging £47,000+; AI engineers hit £68,000+.[[1]](https://www.thetimes.com/life-style/parenting/article/ai-proof-careers-advice-ffdrfljdq)

Key quotes

"AI is not demolishing careers from the top. It is removing the bottom rungs of the ladder first."[[2]](https://www.facebook.com/timesandsundaytimes/posts/my-16-year-old-daughter-thea-had-her-sights-set-on-a-career-in-finance-and-was-p/1390232379800821)

"No chatbot replaces a therapeutic relationship built over months with a person in genuine distress."[[1]](https://www.thetimes.com/life-style/parenting/article/ai-proof-careers-advice-ffdrfljdq)

Why it matters

AI shifts favour early adapters, creating human development gaps for families who wait. Readers guiding teens face clearer paths to high-demand roles like nursing or trades with premiums for AI skills. Watch graduate intake trends and wage data for AI fluency, though projections like WEF's remain estimates.