SOBRE ESTE EPISÓDIO
Carlos Escapa is a venture partner at Across Legal and Masia VC, an AI expert, investor, and former technology leader at Meta and Amazon AWS. He is also the co-author of The AI Driven Business: Leading, Competing and Thriving in the Age of Artificial Intelligence.
Greg and Carlos discuss why AI adoption is primarily an organizational and talent challenge rather than a pure technology play. Carlos argues companies need a “talent flywheel” to complement their “data flywheel,” CEO-led change, and strong data culture; many pilots fail when organizations can’t adapt roles, workflows, and governance. They discuss continuity vs discontinuity in AI (transformers and reasoning as shifts), agentification vs automation, and the risks of vibe coding: including security, maintenance, and tacit-knowledge dependence.
Carlos emphasizes that value accrues mainly to applications powered by proprietary data and better data infrastructure (catalogs, access, ontologies), not necessarily frontier model vendors, and has an optimistic view on the relevance of enterprise SaaS due to efficiency and cost. Their conversation also highlights burnout, mental health, and the need for more humanistic workplaces as AI scales.
*unSILOed Podcast is produced by University FM.*
Episode Quotes:Is AI really a technology problem?
02:29: AI is not so much a technology play. When we talk about digital transformation, we say that in our classes, right? It is much more of a mindset, and getting an organization and people prepared for the adoption of the technology is something where most companies lag behind. And, you know, truth be told, when you have such new technology as AI, and big data have been, it takes a while for the organization to catch up.
Automation makes humans more vulnerable
22:20: The more you automate these low-level tasks, the more important it's going to be to drive what makes us really human, all this creativity, the ability to dream, and to do more together.
What can’t AI do?
23:02: Let's not exaggerate what artificial intelligence can do. It's a very limited technology. It is a wonderful technology, but it has a lot of limitations. And one of these limitations is that it does not understand cause and effect. When we have a world that is changing so rapidly, the sort of changes that we are experiencing at the moment are unprecedented in history.
Data culture drives AI success
27:30: The companies who have proprietary data are the ones that are making the biggest value capture in the market at the moment. But I think yes. So the answer would be yes, as long as they have the data culture inside of the company.
Show Links:Recommended Resources:
- Satya Nadella
- Vibe Coding
- Marc Benioff
- Amazon Web Services
- Warren Buffett
- SAAS - Software as a service
- What is a Data Lake
- Kimi K3
- Jensen Huang
Guest Profile:
Guest Work:
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- 672: Vivienne Ming - Robot-Proof Yourself: Navigating AI's Impact on Work and Life
- 487: Gary Marcus - Challenging AI’s Capabilities
- 497: Arvind Narayanan - Spotting The Difference Between AI Innovation and AI Snake Oil
- 476: Juan M. Lavista Ferres - AI's Potential for Positive Social Change
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