Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

Performance cookies are used to understand and analyse the key performance indexes of the website which helps in delivering a better user experience for the visitors.

Advertisement cookies are used to provide visitors with customised advertisements based on the pages you visited previously and to analyse the effectiveness of the ad campaigns.

GenAI Isn’t Killing Management Consulting—It’s Changing the Engine

Download
Print

By Srini Bangalore and Cate (genAlyst™)

Every several years, a few academics, journalists, industry watchers, and industry insiders declare that management consulting is on the brink of extinction. Since 2022, the threat they have been writing about has been genAI. The voices appear to have peaked. The logic seems simple: if AI can gather data, generate analyses, and draft reports in minutes, why use consultants? Why not DIY?

But that view is flawed. Management consulting isn’t a product—it’s a service. Services evolve continuously and transform radically in the face of disruptive technologies. Take transportation as a service. The car didn’t kill the need for personal transportation; it replaced the horse and buggy. It made getting places faster, safer, and more efficient. Cars have since changed continuously and kept pace with technology.

GenAI is the car for consulting. It is transforming work, but the need for human insight, judgment, and collaboration remains. What consultants do doesn’t change; how they do it changes – drastically!

The Real Gap: Collaborative Intelligence

CASETEAM’s experience and analysis show that genAI-native consulting firms—built from the ground up with genAI integration—are accelerating ahead. Traditional firms are racing to retrofit genAI into their existing models but will need more time and effort to narrow the gap.

Why? Because the hardest shift isn’t automating research or document creation; it’s integrating genAI into problem-solving. 

This is the battleground frontier: Collaborative Intelligence. 

The future isn’t human or genAI—it’s human and genAI working together in structured, iterative problem-solving. That’s the unlock. And that’s where the biggest gap remains, especially when scaling problem-solving across teams.

What CASETEAM’s Analysis Reveals

Our analysis examined genAI integration across three iterative phases of consulting workflows and dozens of underlying activities. Exhibit 1 shows how genAI has been integrated into management consulting workflows by genAI-natives and traditional consulting firms that have been retrofitting genAI. 

44% of current genAI value remains untapped by traditional firms versus genAI-native firms. A deeper dive into Exhibit 1 shows early wins concentrated in research and synthesis, basic document creation, questionnaires, and interview guides. This signals that the remaining journey, especially in problem-solving and client synthesis, will be harder and take longer.  

  • Research and Synthesis: Strong integration. GenAI accelerates data gathering, baseline research, compilation, and synthesis. The nature of activities makes this the “low-hanging fruit”. The gap between genAI Retrofitters and genAI-natives is only about 25%, showing brisk progress by the profession.
  • Analysis and Problem-Solving: Low integration but higher opportunity. Human judgment, creative structuring, and collaborative problem-solving will remain dominant, but genAI can play a significantly bigger role. This is the real hurdle for retrofitters, with a gap of over 70%. 
  • Workproduct & Client Synthesis: Moderate to strong integration. GenAI supports drafting, but client alignment, messaging, and final synthesis require human expertise. There are limits to genAI utility relative to the above two phases. The gap here is larger at 40%. 

Our experience emphasizes that genAI has fundamental quality, consistency, and reliability challenges that must be well understood and addressed for the technology to be acceptable for mainstream consulting. However, we also see daily improvements as the competition between leading technology companies intensifies. Consulting firms must make progress in tandem and shape the use of AI technologies in the profession.

 

Exhibit 1: GenAI Integration in Consulting Workflows – Native vs. Retrofit

Three Big Shifts Underway

  1. From Data Providers to Decision Partners

GenAI can now produce research in minutes. Clients no longer need consultants just to deliver information. But data is not a decision.

The shift: Consultants are needed to help clients interpret insights, navigate trade-offs, and act decisively, just like in the past, only faster and better. Collaborative Intelligence unlocks this. GenAI structures data; humans shape the recommendation.

  1. From Static Pages to Dynamic Solutions

Pages have long been the output of consulting firms. Pages will remain – but clients will increasingly demand live, dynamic answers.

The shift: Clients want pages faster, supplemented by interactive models, adaptive dashboards, and tools that evolve with their needs. GenAI enables it. Consultants orchestrate it.

  1. From Junior Analysts to Senior Accelerators

GenAI is automating entry-level tasks like research and first-draft analysis. But that work was never the goal—it was a necessary training ground.

The shift: Consultants must advance faster into judgment-heavy work – orchestrating genAI, crafting recommendations, and driving client alignment and outcomes.

The Risk? Standing Still

GenAI isn’t the threat to consulting. The threat is failing to self-disrupt.

Firms clinging to manual-intensive workflows and old operating models will fall behind. Clients expect speed, precision, and better decisions. Firms that integrate GenAI across research, problem-solving, and client synthesis will lead. Those who do not will be left fixing horse buggies or low-power cars.

CASETEAM’s Recommendations

  1. Push GenAI Deeper into Workflows: Embed GenAI into problem structuring, analysis, synthesis, and deliverable development.
  2. Equip Consultants as GenAI Navigators: Shift from data-gatherers using genAI to problem-solvers and decision-enablers who orchestrate genAI.
  3. Elevate Client Conversations: Don’t offer technology augmentation. Offer Collaborative Intelligence—faster, better, and more efficient decisions and outcomes.

Final Word: GenAI Is Strengthening Consulting—Not Eating It

Consulting is not a product; it’s a service. GenAI is a new high-performance engine powering that service.

The firms that master Collaborative Intelligence—human ingenuity and genAI acceleration—will lead the future and drive positive client impact.

The rest will watch from the roadside while figuring out how to catch up. CB

Last update: Feb 16, 2025

Download
Print