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Summary: AI isn’t the end of consulting. It is another reset and a new phase in the sector’s constant cycle of disruption, adaptation, and renewal.

We’ve seen this story before

New tech arrives, fear spikes, productivity follows.

BCG’s chief AI ethics officer, Steven Mills, describes this as a “virtuous cycle.”
Once people start using AI, they report higher satisfaction, better decisions, and more confidence in their output.

He highlights three truths most firms still overlook:
→ Use reduces fear. Familiarity kills anxiety faster than messaging does.
→ Education builds trust. Knowing what AI is good and bad at matters as much as the tool itself.
→ Ownership stays human. AI is a thought partner, not a ghostwriter. You still own the output.

Inside the firms adapting fastest

A regional leader from a Big Four firm recently put it simply:
“AI panic is another phase. We’ll retrain, redeploy, and reaccelerate.”

In markets where firms are already upskilling teams in AI and re-engineering their GTM engines, growth has returned.
These firms have done this before. One even sold its consulting arm in a major region two decades ago, rebuilt from zero, and is now back above the billion-dollar mark.

The pattern is consistent: lose ground, reinvest, retrain, grow again.
There are too many smart people inside these firms to let them become a case study (let’s, for a moment, ignore Andersen being Enron-ed).

The consulting cycle: every decade, a reset

Consulting’s history is built on reinvention:
1990s – IT + Strategy
2000s – Outsourcing + Shared Services
2010s – Digital + Analytics
2020s – AI + Productisation

Each cycle shifts what clients buy and how firms deliver it, but never erases the need for trusted advisors.
This one is no different. The best consulting leaders have lived through every reinvention: offshoring, digital, automation, and now AI.
They know the pattern: panic, retraining, growth.

Why this matters for hiring and talent

AI is redrawing the consulting talent map.
Firms are hiring for different capabilities and re-evaluating what partner potential looks like.

Three hiring shifts are already visible:
→ AI-fluent leaders: Partners who can translate AI into client impact, not tech talk.
→ Hybrid builders: Senior hires who combine consulting discipline with product and data delivery.
→ Team moves: The fastest route to scale. Acquiring pods that already deliver AI-enabled transformation work.

For candidates, this is opportunity, not threat. The firms that win the next phase are building cross-functional leadership benches across strategy, digital, and data under one umbrella.

The shift from delivery to design

AI is moving consulting from delivery-heavy models to design-led models. The value now sits in how firms architect solutions, not how many people they deploy.

This changes the economics of consulting. Leverage shifts from headcount to intellectual property and repeatable frameworks. For leaders, it means building teams that can translate client problems into data-driven, AI-enabled designs rather than slide decks and workstreams.

Partner hiring as a growth strategy

Partner hiring is becoming the fastest way to build capability in this new environment. Instead of chasing incremental hires, firms are acquiring ready-made ecosystems of relationships, revenue, and expertise through targeted team moves.

The market is already rewarding firms that hire leaders who bring not just clients, but codified ways of working that combine strategy, product, and technology. In an AI-driven market, the most valuable partners will be those who can shape demand, not simply respond to it

Where this leads next

AI will not replace consultants. It will compress project cycles, reduce friction, and reward those who move fast.

Firms that retrain their people, clarify boundaries, and use AI as a force multiplier will outperform on both delivery and retention.

Consulting evolves.
Always has.
Every disruption looks terminal until it is not. The model bends, adapts, and comes back stronger.

 

 

This post comments on:

Fortune: Using AI at work can lead to a ‘virtuous cycle,’ with workers reporting better job satisfaction and efficiency, BCG chief AI ethics officer says


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27 October 2025

 

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