Will AI replace junior analysts and consultants? How to adapt
Last updated: October 2026
Research, slide-building and first-draft analysis, the traditional junior workload in consulting and professional services, are now quick with AI. Firms are hiring fewer graduates for that work. The value is moving to framing the right question, checking the AI's analysis, and turning findings into decisions clients act on.
AI is taking
Desk research
First-draft slides and reports
Data cleaning
Meeting notes
Benchmarking tables
AI is changing
Analysis (faster, so more options get tested)
Proposal writing
Due diligence
Stays human
Framing the problem
Client trust
Judgement on messy data
Facilitating workshops
Persuading people to act
Adapt now
Use AI for research, and always verify the sources.
Learn to check an analysis: assumptions, data quality, the "so what".
Build facilitation and presentation skills.
Develop a sector specialism.
Move into
AI transformation / adoption consultant
Help organisations actually use AI. Bridge: a change-management method, one AI platform in depth.
Data / business analyst with a domain specialism
Bridge: SQL, a BI tool, sector knowledge.
Product manager
Bridge: discovery, prioritisation, working with engineers.
Your 30-day plan
Week 1: redo a past piece of analysis with AI; compare its quality and the time taken.
Week 2: write a one-page "how I check AI analysis" checklist.
Week 3: pick a sector and read its top five AI use cases.
Week 4: run a short internal session teaching colleagues your checklist.
Frequently asked questions
Is consulting still a good graduate career?
The entry route is narrower; sector expertise and AI fluency matter more.
What makes a junior valuable now?
Accurate checking, clear thinking and being trusted in front of clients.
Which skill first?
Verifying AI research, because errors in client work are costly.