What skills do you teach your children when the career path you spent your life building is on the verge of being entirely automated? If an eight-year-old can already see AI taking over coding, art, and storytelling, how do we prepare the next generation to thrive—not just survive—in a world where everything can be automated in less than twenty years?
In this episode of Inside the Silicon Mind, we sit down with Victor Augusteo, an AI-focused CTO and engineering leader, to explore how frontier AI is reshaping work, identity, and the skills that matter for the next generation. Victor has spent years building advanced software architectures and navigating rapid technological disruption in both enterprise environments and at home. As a parent and technical operator, he’s obsessed with how rapid adaptation, tool usage, and systemic problem-solving will redefine what it means to be “super-human” over the coming decades.
You’ll hear why emotional intelligence (EQ) may not be the permanent human moat we assume, how the world is shifting from the social media era into the attention media era, and why introducing children to AI in controlled, playful environments is critical to avoid overwhelm and keep them ahead of the curve.
Who this episode is for:
• Parents and caregivers who want to prepare children for an AI-driven future
• Founders, CTOs, and engineering leaders thinking about automation and human roles
• Educators and edtech builders designing curricula for the next 20+ years
• Knowledge workers wondering which skills will still matter in an AI-saturated world
• Anyone navigating the psychological and identity impact of rapid automation
What you’ll learn:
• Why emotional intelligence and “feelings” may not be the unassailable human moat many assume
• How the shift from social media to attention media changes what actually holds value
• Practical ways to introduce children to AI capabilities in safe, fun environments
• Why your fundamental learning rate and adaptability may matter more than any single skill
• How human feedback and attention data are becoming core inputs to frontier AI systems
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