How Is Artificial Intelligence Changing the Future of Consulting Firms?

How Is Artificial Intelligence Changing the Future of Consulting Firms?
The consulting sector was built for many years on the "pyramid model." In this model, junior consultants forming the broadest base conduct research, collect data, perform modeling and analysis, and prepare presentations. At the top of the pyramid are senior consultants who develop strategy, manage, and build client relationships. This structure defined both the identity and economics of the consulting sector.
But today, artificial intelligence is shaking the foundations of the consulting world. Generative AI tools, automated research platforms, and predictive algorithms can now perform much of the work done by the junior consultants at the broad base of the pyramid, far faster and at a far lower cost.
"Consulting is not disappearing; it is simply being redefined."
The Collapse of the Pyramid Model
Companies will continue to need external expertise, independent perspectives, flexible capacity, and reliable analysis, as they always have. However, the way these needs are met is changing.
In the past, junior consultants would spend weeks collecting data, preparing tables, generating scenarios, and designing presentations. Today, artificial intelligence can do this work in minutes.
For example:
- McKinsey's AI assistant Lilli reduces research time by 30%.
- Boston Consulting Group's Deckster tool generates presentation drafts in a few minutes.
- Bain's Sage platform is an AI solution trained on the firm's own knowledge.
- Deloitte's Zora agents and PwC's agent OS platform are reorganizing internal operations.
These tools have begun to take over not only simple tasks but also the work performed by mid-level consultants. The result? The pyramid is unable to bear its own weight.
"Tens of thousands of billable hours can now fit into the minutes of an AI tool."
The New Model: The Consulting Obelisk
The pyramid is being replaced by the obelisk model. The obelisk means a narrower, taller, and more impactful structure. Smaller but more qualified teams replace large teams.
In this new model, three critical human roles come to the fore:
- AI Facilitators – Early-career consultants. They process data and accelerate workflows using AI tools.
- Project Architects – Experienced consultants. They identify problems, interpret AI output, and translate it into strategy.
- Client Leaders – Senior figures. They build long-term relationships, provide assurance to executives, and help them make sense of change.
These roles meet the three fundamental needs of consulting: designing workflows, turning outputs into strategy, and building relationships that give the client confidence.
What matters now is no longer more people, but sharper insight, higher speed, and lower cost. The obelisk model, together with artificial intelligence, aims to direct human energy toward more meaningful work.
The Rise of AI-Native Boutiques
The most striking examples come not from large firms, but from AI-native boutiques.
- Monevate: Works exclusively on pricing strategy. It works with AI-powered models and has no junior analyst base.
- SIB: Focused on cost reduction. It scans invoices with AI, and experts only step in when needed.
- Unity Advisory: Received $300 million in investment. It does not build large teams; it produces fast results with small but senior teams and proprietary AI tools.
- Firms like Disruptive Edge complete weeks of research with AI reports in just a few hours. This way, more senior teams can spend more time with clients.
"Next-generation consulting firms are rejecting the cumbersome pyramid structure."
The Resistance of Large Firms
So why are giant firms struggling to transform? Because the pyramid model still generates profit.
Promotion systems are built around this model. Career ladders rest on the pyramid's base. Even the definition of a "good consultant" has been made according to this system. Although firms open AI labs, large teams are still preserved in actual operations. A lean and AI-driven structure threatens the existing order.
In addition, the new model demands a different talent profile: small groups who know AI tools and can work with data. PwC invested $1 billion in AI training, but the habit still operates on "billable hours."
This reveals a fundamental truth: AI is not a tool added on top of the old model; it is the reason for redesigning the model from scratch.
Implications for Consulting Firms
This transformation produces major consequences for the sector:
- Those remaining in the pyramid model will become slow, expensive, and irrelevant.
- Those who shift to the obelisk model will be faster, more expertise-focused, and more valuable.
- Workflows must be redesigned around AI.
- Training programs must combine AI facilitation skills with classical consulting skills.
- Compensation systems should be built on value produced rather than hourly billing.
Furthermore, AI ethics and governance are also critical. Small teams and speed make the issue of responsibility more important. Institutions such as the Harvard Safra Center emphasize that ethical frameworks must be directly embedded into the workflow.
"AI decisions must be fair, understandable, and accountable."
Conclusion: Time to Reimagine
This is not a "wait and see" period. Consulting firms will either redesign their business model with artificial intelligence at the center, or they will fall behind more agile competitors.
The winners will be the first movers. Firms that view artificial intelligence not just as an additional tool but as the opportunity to redefine the entire business model will shape the future.
"The future of consulting is not the pyramid, but the obelisk empowered by artificial intelligence."