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In this special interview, recorded at IAExpo.ai in Mexico City in January 2026, Arin Sime speaks with Osvaldo Ramirez Hurtado from the Panamerican Business School. Osvaldo shares insights from his research on guardrails for technology and Large Language Models (LLMs) and discusses how to define AI and its real value-add to educational settings and companies. Key topics discussed include: Avoiding "Vanity AI Projects": Osvaldo explains that vanity projects often lack real value and are disconnected from the core business. He challenges companies to consider if they are "AI first" and to think critically about whether they should invest (CapEx) or just spend (OpEx) on AI initiatives. Proof of Value vs. Proof of Concept: The discussion highlights that a "proof of concept" is not as valuable since in many cases we don't need to prove the technical concepts. Instead, a "proof of value" is what confirms if the idea addresses a solution related to the core business in a controlled environment, focusing on scalability. Common Use Cases: Osvaldo shares a powerful medical example of a medic who created an agent using Grok to manage and document the lifelong treatment of his daughter's type 2 diabetes. These use cases challenge traditional care models by offering ways to scale conversations. Advice for Engineering Leaders: Leaders tackling AI transformation should prioritize business needs over purely technical perspectives. They should also align job descriptions with the need for people who can translate business needs into the AI world, rather than just seeking coding evangelists. Additionally, engineers need a wider knowledge base including science, mathematics, and statistics, and should focus on soft skills to "reduce your own ego". Gaps in Education: As an educator, Osvaldo stresses that academic programs must review their core to ensure they match current market needs, rather than just adding "AI" to a program name as a commodity. He advocates for integrating more fields like physics and mathematics and moving away from traditional teaching methods where students simply expect information, encouraging collaborative, laboratory-style thinking. This interview is part of a series recorded in Mexico City and will be featured in an upcoming Scaling Tech Podcast episode about AI Engineering in Mexico. Chapters: 0:00 - Introduction to AI Engineering in Mexico Series 1:14 - Introduction to Osvaldo Ramirez Hurtado and his research 2:35 - The importance of creating value with AI 3:11 - How do you avoid Vanity AI projects? 5:38 - Beware Vanity KPIs like Hallucination Rate 6:25 - Proof of Value are better than Proof of Concepts 7:46 - AI accelerates the importance of Proof Value 9:01 - High value use cases with AI 11:04 - AI allows us to scale conversations 11:57 - Advice for Engineering leaders 12:56 - Considering business needs first 13:15 - Aligning job descriptions for AI 14:05 - The importance of scientific education 15:10 - Engineering education in the age of AI 18:33 - The AI classroom is everywhere 19:45 - Closing ----- Scaling Tech Podcast This episode is brought to you by AgilityFeat, providers of technical staffing and software development services in Latin America for clients globally since 2010. Host: Arin Sime, Scaling Tech Podcast host and Founder/CEO of AgilityFeat.com Guest: Osvaldo Ramirez Hurtado from the Panamerican Business School Find the Scaling Tech Podcast on: Spotify, Apple Podcast, YouTube, LinkedIn, and at scalingtechpod.com. If you enjoyed this conversation, please like, share, and subscribe so you don't miss the full upcoming Scaling Tech podcast episode where Arin ties together the key lessons and themes from this series. #AIEngineering #techteams #nearshoring #AI #LatAm #Agile #Leadership #Mexico #software #softwaredevelopment #developers #BusinessValue