In this episode, Ricardo discusses AI washing, a growing trend where organizations falsely claim to use artificial intelligence. Similar to greenwashing, AI washing occurs when companies exaggerate their AI capabilities to attract investors or appear innovative. In reality, many so-called AI systems are just basic automation or rule-based tools. This practice creates serious risks, including loss of credibility, legal issues, and project failure. Vargas highlights warning signs: flashy storytelling over science, unrealistic promises, lack of true AI experts, neglect of data quality, and poor governance. He explains that real AI projects require transparency, solid data, ethics, and humility—reminding project managers to avoid overpromising and to focus on genuine, data-driven value instead of hype.

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