In this week's episode, Ricardo questions whether artificial intelligence (AI) actually reduces project risks or creates new ones. While it helps predict delays, identify flaws, and minimize errors, AI can create invisible risks, such as data bias, which distorts results, and "blind trust," when professionals accept predictions without critical analysis. Another risk is technological dependence: if the tool fails or disappears, the project could stall. There are also ethical and legal questions about who is responsible for AI's misguided decisions. Vargas emphasizes that AI is neither a villain nor an absolute solution. It should be seen as an ally, but always with human oversight, contingency plans, and clear accountability from managers.

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