Why AI engineering needs old-school discipline
From The New Stack Podcast by The New Stack
April 24, 2026 · 24 min · Episode 1611
About this episode
Nimisha Asthagiri discusses the importance of discipline in AI engineering and the need for a systems-thinking approach to avoid stalled initiatives.
In this episode of The New Stack Makers, Nimisha Asthagiri of ThoughtWorks explores why many AI initiatives stall between proof of concept and production. A key issue is that organizations focus on speed—asking how to move faster—rather than rethinking what new capabilities AI actually enables. Successful companies take a systems-thinking approach, investing in organizational literacy and aligning teams around meaningful use cases instead of retrofitting AI into existing workflows.
People in this episode
Guest: Nimisha Asthagiri
Topics covered
- AI engineering
- organizational literacy
- systems thinking
- production challenges
- use cases
Keywords
- AI
- engineering
- organizational literacy
- production
- systems thinking
- use cases
- workflows
Mentioned in this episode
Organizations: ThoughtWorks
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