Consulting has long thrived on a simple premise: firms bring external perspective, proprietary knowledge, and structured problem-solving to help organizations address complex challenges. The value of the consulting model rests on three pillars: the brand premium of trusted firms, access to proprietary databases and benchmarks, and the ability to mobilize armies of analysts to process information quickly.

But generative AI may be eroding all three.

AI as a Force-Multiplier for Clients

Consultants have justified their fees by framing problems, gathering information, and producing structured recommendations. Yet senior and mid-level managers already hold most of the operating experience that consultants spend weeks “discovering.”

With generative AI managers can now:

• Frame insights directly: into prompts enriched with company data.
• Test hypotheses instantly: cross-checking with public benchmarks or market analysis.
• Generate strategic options: without needing external researchers.

In this model, AI helps clients convert tacit knowledge into structured intelligence. What once required an outside team can now be done internally faster, cheaper, and sometimes better.

The Erosion of the Consulting Database Advantage

Large consulting firms historically guarded proprietary databases of case studies, benchmarks, and surveys. These were moats because:

• No single manager could replicate them.
• Independents lacked infrastructure to collect and update them.

AI changes the equation:

• Publicly available data, enriched and synthesised by AI, can approximate proprietary benchmarks.
• Synthetic data and large-scale modeling can even go beyond what firms traditionally provided.

What was once a differentiator risks becoming a commodity feed into an AI model.

Fragmentation into Independent Networks

If the firm’s central repository loses its edge, the economics of consulting shift:

• Senior partners may ask why they should surrender large shares of revenue to a brand if the “database advantage” no longer holds.
• Clients may realize they can assemble ad-hoc networks of independents coordinated through AI to deliver similar expertise at a fraction of the cost.
• The consulting pyramid, juniors feeding analysis up to partners, begins to wobble as clients and independents bypass it altogether.

The brand premium shrinks and the firm risks being seen as an expensive middleman.

From Advisory to Utility

This leaves consulting firms at a crossroads:

• Utility Providers: Focus on infrastructure: compliance assurance, governance frameworks, AI integration, and large-scale execution.
• Legacy Middlemen: Struggle to justify fees when clients and independents can replicate much of the work.

The danger is clear: if consultants cling to “we know things you don’t,” they may find themselves overtaken by managers who, with AI at their side, can know just as much if not more.

Lessons for Business Leaders

The broader lesson is not just about consulting firms but about any business that sells expertise as its core product:

• Ask yourself: What happens when AI gives my customers the same knowledge base I sell to them?
• Where do you add value beyond information. In trust, in execution, in integration?
• How will you remain indispensable when the traditional barriers to entry collapse?

For consulting firms, survival means moving from owning the answers to enabling execution and governance. In the AI era, credibility must be earned not through exclusive access to data, but through the ability to help organizations act on it.