Generative AI has become impossible to ignore for consultants and clients alike. With promises of faster insights, streamlined deliverables, and enhanced efficiency, it seems poised to shake the very foundation of management consulting. But will it truly deliver?
In the past year, I've trained over 200 consultants to actually use Generative AI to improve their daily performance. Here's the hard truth: Most consulting firms, big and small, are not ready for what's coming. Partners must act fast to prepare their teams for a massively AI-driven future, or risk watching their bonus pools shrink as competitors, including agile junior-light senior advisors, adapt faster and capture greater client value.
The Two Camps: "Prompt for Tasking" vs. "Prompt for Thinking"
Generative AI is transforming workflows in two distinct ways:
- Prompt for Tasking: Consultants - mostly but not exclusively Junior levels - often gravitate toward using Gen AI for task-oriented prompts. These include generating first drafts, summarizing long documents, overcoming writer's block, or retrieving information. By focusing on execution, this approach can significantly boost efficiency in producing client presentations, market analyses, or initial financial models.
- Prompt for Thinking: Senior and smarter consultants, however, tap into Gen AI's potential as a sparring partner for more nuanced tasks. This involves tailoring communication to specific client audiences or individuals, refining strategies, or brainstorming bespoke solutions. Less intuitive but highly impactful, this approach uses Gen AI to elevate strategic thinking and sharpen client-specific messaging.
While both approaches enhance productivity, "Prompt for Thinking" requires a deeper understanding of client contexts and a more sophisticated/creative application of Gen AI tools to create actionable and high-impact outcomes.
The 70% Problem: Where AI Falls Short
Generative AI often delivers "great but incomplete" outputs quickly, but the gap between 70% completion and true client-ready solutions is significant. Clients pay for insights that are nuanced, actionable, truly personalized, and error-free—standards that AI alone struggles to meet. Consider these limitations:
- Prioritization: AI can generate a list of industry trends but lacks the ability to rank them for a specific client's context.
- Insight Extraction: Summaries of internal reports are helpful, but actionable takeaways require strategic judgment.
- Organizational Complexity: Navigating internal politics or aligning strategies with corporate culture remains beyond AI's grasp.
The 30% gap not only affects deliverables but also acts as a deterrent for many senior consultants to fully embrace Generative AI (although recent announcements from McKinsey suggest this gap is narrowing rapidly for firms that invest in training and governance). The need to manually refine, validate, and personalize AI outputs can feel like additional work rather than a productivity boost. And the probabilistic nature of these technologies does not fit well with the risk-averse nature of the Consultant. Without educated and seasoned consultants to bridge these gaps, deliverables risk becoming generic or, worse, irrelevant.
Amplify Expertise, Don't Replace It
The consultants who thrive in the AI era will be those who embrace it as an amplifier, not a replacement. From a senior consultant's perspective, this means driving team productivity, accelerating delivery timelines, and shortening sales cycles. Generative AI provides the tools to achieve these goals by enabling:
- Crafting Tailored Solutions: Aligning strategies with unique client challenges.
- Reallocating Resources: Time freed from repetitive low value tasks could be allocated in depth of analysis, breadth of people engagement, speed of action.
- Preserving Alignment: Ensuring strategies fit seamlessly within organizational cultures.
Moreover, adopting AI-driven tools necessitates rethinking the traditional pyramid. Firms are already achieving more with fewer, better-equipped consultants - McKinsey reduced headcount from 45,000 to 40,000 while allegedly deploying 12,000 AI agents. By equipping teams with AI-enhanced skills, by operating with fundamentally different team structures, firms can deliver transformative value while optimizing resources.
Uneducated unsupervised Junior consultants overly dependent on AI risk creating cookie-cutter solutions that fail to deliver on client expectations. However, with the right balance of expertise and AI, firms can unlock unprecedented levels of performance and client satisfaction.
Why This Matters Now
Management consulting is a fiercely competitive industry, where providing the best value for money is not just a goal but a necessity. Firms that fail to adapt risk will be outpaced by those that seize the opportunities Generative AI offers. To remain competitive, firms must embrace AI as a strategic enabler by taking three decisive actions:
- Train or Hire AI-Ready Senior Talents: Equip experienced consultants with the tools and knowledge to use AI effectively, enhancing team productivity and accelerating delivery cycles.
- Rebuild AI-Ready Ways to Train and Grow Consultants: Rethink traditional training models to focus on equipping junior consultants with AI skills while fostering strategic thinking and judgment.
- Redesign Client Delivery Model with AI: Combine highly efficient task automation with creative, personalized client-facing interactions, moving away from hourly billing, to deliver and share value.
The takeaway? Generative AI is reshaping the consulting landscape, but the real differentiator will be human expertise enhanced by AI. For consulting firms of all sizes, the time to act is now. Success requires fundamental business model transformation, not just tool adoption.