How AI is used in consulting today
AI is fundamentally reshaping the consulting industry. The global AI consulting market is projected at $14.07 billion in 2026 and is expected to reach $116.63 billion by 2035, growing at a 26.49% CAGR. Currently, 62% of consulting firms have adopted AI globally, with 59% integrating generative AI for predictive modeling, workflow automation, and strategy development.
The productivity gains are measurable across the board: 76% of consultants use AI for research tasks, 68% have increased automation, and 63% report faster deliverable speeds. AI services are driving the greatest revenue expansion for 66% of firms. McKinsey provides a vivid example — the firm now operates 20,000 AI agents alongside its 40,000 human employees, with its internal platform Lilli used by 72% of professionals and saving approximately 1.5 million hours in 2025.
Acquiring AI expertise is proving extremely lucrative. Accenture reported $3.6 billion in AI bookings for FY2025, nearly doubling year over year, with Q1 FY2026 AI revenues hitting $1.1 billion — a 120% increase. For independent consultants and smaller firms, AI provides an opportunity to compete with larger players by dramatically increasing output per consultant.
Top AI use cases for consultants
How much does AI cost for consultants?
| Solution | Cost Range | ROI Timeline |
|---|---|---|
| AI research & analysis assistant | $50 – $300/mo | Immediate |
| AI proposal & report generator | $100 – $500/mo | 1–2 months |
| AI CRM & client management | $50 – $200/mo | 1–3 months |
| AI workflow automation platform | $200 – $800/mo | 1–2 months |
| Custom AI consulting toolkit | $5K – $20K | 2–4 months |
Key challenges
Consulting firms and independent consultants should navigate these challenges:
- Maintaining thought leadership quality: AI can generate plausible-sounding analysis, but clients pay consultants for genuine insight and original thinking. The risk is producing AI-generated content that sounds sophisticated but lacks the depth that justifies consulting fees. Always add proprietary insights and frameworks.
- Client confidentiality: Consultants handle sensitive client data across multiple engagements. AI tools must be evaluated for data handling policies — ensure client data isn't used for model training and that information from one engagement cannot leak into outputs for another client.
- Pricing model evolution: As AI reduces the time to produce deliverables, the traditional hourly billing model comes under pressure. Forward-thinking consultants are shifting to value-based pricing that reflects the quality of outcomes rather than hours worked.
Frequently asked questions
No, but it's transforming the role. While 40% of consulting tasks are automatable, the most valuable aspects — strategic thinking, client relationships, creative problem-solving, and organizational change management — remain human strengths. McKinsey runs 20,000 AI agents alongside 40,000 employees, showing that AI augments consultants rather than replacing them. The consultants who thrive will be those who leverage AI to deliver better insights faster.
62% of consulting firms have adopted AI: 76% use it for research, 68% for automation, and 63% report faster deliverable speeds. McKinsey's Lilli platform saves 1.5 million hours annually. Accenture's AI bookings hit $3.6 billion in FY2025. The dominant trend is agentic AI, where multiple AI agents collaborate to complete complex tasks like market analysis and strategy development.
Solo consultants benefit enormously from AI as a force multiplier. Start with an AI research assistant ($50–$300/mo) to accelerate analysis, add an AI writing tool ($100–$500/mo) for proposals and reports, and use AI CRM ($50–$200/mo) for client management. These tools let a solo consultant produce output that previously required a small team, dramatically improving margins and capacity.