Why AI Won’t Replace Consultants—Kearney’s Benjamin Glatz on The Future of AI in Consulting
Fetch error
Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on July 15, 2025 17:14 ()
What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.
Manage episode 471020860 series 3649126
In this episode of Advising the Advisors: AI in Consulting Unlocked, host Bolu Ben-Adeola welcomes Benjamin Glatz, Partner at Kearney, specializing in digital transformation and commercial strategy.
- Delve into AI's transformative role in consulting, exploring how firms can move beyond pilots to create lasting business impact
- Explain why human expertise remains crucial in consulting despite AI advancement, with emphasis on the "essential rightness" principle in advisory work
- Discuss the evolution of the consulting pyramid structure as AI tools democratize knowledge access and augment junior consultants' capabilities
- Examine the future of healthcare and life sciences, particularly how AI could revolutionize drug discovery and enable precision medicine
- Highlight key success factors for scaling AI initiatives, including the importance of clear strategic focus and avoiding siloed implementations
- Consider the unique challenges and opportunities for consulting firms building internal AI capabilities versus partnering with external providers
- Explore how AI is reshaping client expectations and consulting deliverables, while emphasizing the enduring importance of human judgment and relationship building
[05:57] Balancing Top-Down Strategy with Bottom-Up Innovation in AI Implementation
[08:14] Transforming Core Consulting Capabilities with AI Augmentation
[13:00] Rethinking Talent Development in an AI-Enhanced Consulting Model
[18:26] Maintaining the Human Element in AI-Enabled Consulting
[23:48] Creating Value Through Custom AI Models for Industry Expertise
Episode Resources:
11 episodes