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Leading AI Transformation Without Breaking Your Engineering Team | Ricardo Arcia
What happens after leadership announces, “We’re becoming an AI-driven company”? In this episode of AIbiz, Ricardo Arcia shares what real AI transformation inside software teams actually looks like.
This conversation is for engineering leaders, founders, and innovators navigating uncertainty around AI adoption. Ricardo explains why AI transformation is less about tools and more about mindset, coaching, experimentation, and cultural change inside organizations.
About the Guest:
Ricardo Arcia is the CEO and founder of Terravision Technologies. He is also the author of The Cognitive Leader and creator of the Cognitive Engineering Framework.
Episode Chapters:
00:00 Why AI transformation feels overwhelming
04:15 The experiment that changed Ricardo’s perspective
09:20 Why AI tools alone are not enough
14:08 Hidden bottlenecks inside engineering teams
18:42 Coaching teams through AI adoption
23:50 The Cognitive Engineering Framework explained
27:40 Practical first steps for engineering leaders
31:10 Building AI-ready organizations for the future
Key Takeaways:
- AI adoption requires mindset change, not just new tools
- Productivity can temporarily slow during transformation
- Coaching matters more than one-time training
- Small AI experiments help teams learn faster
- Legacy systems need different AI strategies than MVPs
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