Can AI replace consulting jobs?
AI is replacing consulting tasks faster than consulting jobs. Research, data gathering, analysis and first drafts, the work that fills many junior roles, are increasingly done by AI. Roles built on judgment, client relationships, implementation and leading change are far less exposed. Overall demand for consultants is still growing: the US Bureau of Labor Statistics projects employment of management analysts to grow 10% from 2025 to 2035, much faster than average (BLS).
What does the research say?
In a field experiment with 758 Boston Consulting Group consultants, those using GPT-4 completed 12.2% more tasks, 25.1% faster and with more than 40% higher quality on tasks within AI's capabilities, and the biggest gains went to below-average performers. On a task outside those capabilities, consultants using AI were less likely to get the right answer (Dell'Acqua et al.). AI raises the floor, but someone still needs to know when it is wrong.
Which consulting jobs are most and least at risk?
| Role or task | Exposure to AI | Why |
|---|---|---|
| Research and benchmarking | High | AI gathers and summarizes information quickly |
| Junior analysis and slide production | High | First drafts of analysis and documents are automated |
| Data analysis | Medium | AI speeds it up, but framing and checking need people |
| Strategy and recommendations | Low to medium | Judgment and accountability stay human |
| Implementation and engineering | Low | Building and running systems needs skilled people, using AI |
| Client leadership and change management | Low | Trust, relationships and leading people are hard to automate |
What does this mean for consulting careers?
Fewer traditional entry-level tasks
When AI handles much of the research and analysis that trained new consultants, firms need fewer people doing that work. New consultants need to add value sooner.
More demand for builders
Clients increasingly want working systems, so consultants who can build, or direct building, are in demand. The BLS projects data scientist employment to grow 35% from 2025 to 2035 (BLS).
A premium on judgment
Knowing which AI answer to trust, what a client really needs and how to get people to change becomes a larger share of a consultant's value.
How can consultants stay relevant?
- Use AI daily. Become the person who knows where it helps and where it fails; see the best AI tools for consultants.
- Learn to build. Even basic skills in data, automation and AI tools set you apart.
- Go deep in a domain. Industry knowledge is something general AI does not have.
- Own outcomes. Clients value people accountable for results, not hours.
- Strengthen client skills. Communication, trust and leading change matter more than ever.
For the industry view, see will AI replace consulting, and for roles and pay, our guides to AI consulting jobs and AI consultant salaries.
Which skills make consultants harder to replace?
| Skill | Why AI struggles to replace it | How to build it |
|---|---|---|
| Judgment under uncertainty | Decisions need context, trade-offs and accountability | Own decisions on real projects and review the outcomes |
| Domain expertise | Deep industry knowledge is rarely in public data | Specialize in one industry or type of problem |
| Building and integrating | Working systems need engineering inside real businesses | Learn data, automation and AI tooling hands-on |
| Leading change | Adoption depends on people, politics and trust | Lead rollouts, training and stakeholder alignment |
| Client relationships | Trust is built over time, person to person | Stay close to clients beyond single projects |
The bottom line
AI can replace many consulting tasks, especially research, junior analysis and first drafts, but not the judgment, relationships, building and leadership that clients pay for most. Demand for consultants is still projected to grow. The safest consulting careers combine AI fluency, domain depth, building skills and accountability for results.
References
- Fabrizio Dell'Acqua et al., "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality," Harvard Business School Working Paper 24-013 (published in Organization Science)
- U.S. Bureau of Labor Statistics, Occupational Outlook Handbook: Management Analysts
- U.S. Bureau of Labor Statistics, Occupational Outlook Handbook: Data Scientists