Podcast Summary: "One sign an organization isn’t actually ready for AI"
Podcast: Voices of Search (I Hear Everything Podcast Network)
Host: Jordan Cooney
Guest: Steve Wonker, Managing Director at New Markets Advisors
Date: March 4, 2026
Episode Overview
This episode explores a crucial but often overlooked mistake organizations make when introducing artificial intelligence (AI) into their knowledge teams: focusing on the technology itself rather than fundamentally changing work systems and organizational thinking. The conversation zeros in on why AI rollouts stall and what leaders should prioritize to truly benefit from AI-driven transformation.
Key Discussion Points & Insights
1. The Core Mistake in AI Rollouts
- Thinking Technology-First, Not System-First
- Steve asserts that many organizations err by centering their efforts on the tech, instead of seeing AI implementation as a catalyst for rethinking how the entire system works.
- Quote:
“They think about AI as technology and not changing the system of work. Put tech at the table, but look at it as the whole system...”
— Steve Wonker [00:57]
2. Where Leaders Should Refocus
- Cross-Functional Collaboration and Objective-Driven Change
- Steve recommends assembling cross-functional teams to diagnose where business objectives are currently falling short—before deciding how AI can add value.
- The focus should be on large goals, such as improving customer offering customization or shortening proposal cycle times, instead of preoccupation with technical implementation details.
- Quote:
“Get people together, cross functionally and understand how are your business objectives being suboptimal now without AI. And how might AI improve that? ... That then gets you more right side up, thinking about what your objective is, not the nuts and bolts of technology...”
— Steve Wonker [02:49]
3. Measurement, Team, and Organizational Structure
- Aligning Team Structure with Real Objectives
- The episode underscores the importance of reviewing team and organizational design as part of AI readiness. It’s not just about slotting new tools into old workflows.
- Leaders are urged to evaluate not only if AI can help, but how it should be embedded within teams and objectives, supported by clear measurement strategies.
Memorable Moments & Notable Quotes
-
On the True Nature of AI Adoption:
“They think about AI as technology and not changing the system of work...”
— Steve Wonker [00:57] -
On Getting ‘Right Side Up’ in AI Initiatives:
“That then gets you more right side up, thinking about what your objective is, not the nuts and bolts of technology and how that might be achieved.”
— Steve Wonker [02:49] -
Host’s Closing Wisdom:
“Remember, the answers are always in the data.”
— Jordan Cooney [03:20]
Important Timestamps
- 00:42 — Episode introduction; asks about core leader mistakes in AI rollouts
- 00:57 — Steve articulates the root problem: focusing on tech over systems
- 02:37 — Discussion on organizational areas to focus for AI readiness
- 02:49 — Advice on cross-functional objectives and aligning business challenges with AI
- 03:20 — Host’s closing remark
Tone and Style
The conversation is pragmatic and insightful, offering listeners actionable ways to reassess their AI strategies. Steve’s advice is direct, prioritizing clarity—“think about the whole system”—while Jordan’s facilitation anchors the discussion in practical leadership concerns.
Overall Takeaway:
Organizations aren’t truly ready for AI when they treat it as a plug-in technology rather than a driver for systemic change. The real sign of readiness is a willingness to redesign work structures and objectives—with an unwavering focus on cross-functional collaboration and measurable business outcomes.
