In this episode, Ricardo announces the release of the second global research on AI in project management, co-authored with Antonio Nieto-Rodriguez. Compared to their first study two years ago, AI has moved from experimentation to mainstream adoption. The 2025 report, based on insights from 870 professionals in 97 countries, shows that AI familiarity has doubled, and over two-thirds now use AI tools daily. Nearly half of organizations report cost reductions, and 25% achieved over $250,000 ROI. The greatest benefits appear in scaling, risk management, and forecasting. Barriers have shifted from technical to cultural and ethical. By 2028, 42% of organizations expect AI copilots to manage most projects. AI won’t replace humans but enhance leadership and decision-making. Download the free report at pmairevolution.com.

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In this episode, Ricardo introduces the concept of nano projects: ultra-short, highly focused initiatives lasting just a few days, designed to generate value quickly. Unlike megaprojects, which require months or years, nano projects respond to the need for speed and adaptation in a fast-paced world. Examples include testing a marketing channel in five days, redesigning hospital processes in a week, or running rapid pilots in the public sector. Their advantages include low risk, rapid learning, and greater team engagement, as results are quickly seen. However, they require a well-defined scope, discipline, and attention to quality. Ricardo emphasizes that they complement traditional models, helping to reduce uncertainty and stimulate innovation in short cycles.

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In this episode, Ricardo questions whether Agile is still sufficient in the face of the speed of artificial intelligence. Created in 2001, the Agile Manifesto introduced short iterations and continuous learning to address the unpredictability of software development. However, today, tools become obsolete in days, raising questions about the relevance of 2- to 4-week cycles or a quarterly backlog. Vargas doesn't criticize Agile—on the contrary, he recognizes its essential role for organizations in dealing with volatility. The point is to reflect on how to apply it intelligently in the face of the rapidity of AI: smaller microcycles? More discipline? An "Agile 2.0" that includes governance, ethics, and social responsibility? The challenge is adapting to the current intensity of change.

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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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In this week's episode, Ricardo explains the "broken windows" theory, which originated in criminology, and how it applies to project management. The central idea is that minor signs of disorder, when ignored, lead to bigger problems. In projects, accepting delays or failures without correction sends the message that quality and discipline are unimportant, opening the door to widespread carelessness. Therefore, it's crucial to quickly correct violations, maintain organized processes, and set an example of consistency and accountability. It's not about micromanaging, but about demonstrating that attention to detail protects the project. Often, it's not major disasters that destroy it, but the accumulation of minor oversights that undermine trust and results.

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In this episode, Ricardo discusses the concept of "silent success" in projects. Managers often highlight dramatic stories: impossible deadlines met, small teams overcoming limitations, or difficult clients. These narratives attract attention, but true success can be more discreet: well-managed risks, on-time deliveries, a motivated team, and aligned stakeholders. Without memorable crises, this work is often seen as luck or an easy project, when in fact it results from careful planning, constant communication, and early strategic decisions. Ricardo warns that it's necessary to review metrics and value these managers, as they are the ones who truly deliver the expected results, without relying on the spectacle of the crisis.

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In this episode, Ricardo introduces five lesser-known AI tools that can transform project management. The first is Study Fetch, which creates personalized tutors from documents, allowing interactive learning and team alignment. The second, Granola, records meetings, generates summaries, and produces prioritized action lists—saving time for project managers. The third, Limitless (formerly Rewind), is a wearable device that records and indexes everything heard or said, enabling quick recall of past conversations, though it raises privacy concerns. The fourth, Mylens, uses computer vision to analyze images and videos, offering insights into progress or issues. Finally, Emlo (Emotion Logic), with tools like FeelGPT and Emotional Diamond, interprets emotions in communication, helping managers understand team morale and prevent conflicts.

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Access the tools at the following links:

In this episode, Ricardo Vargas talks about the importance of recognizing and acting on early warning signs — the famous red flags — before small issues become full-blown crises. He shares practical advice and real examples to help create a culture of active risk awareness and psychological safety in project environments.

In this episode, Ricardo explores the paradox of projects that were executed with excellence — on time, on budget, and within the original scope — but ultimately fail to deliver real value because the world changed during execution. The pandemic, accelerated digital transformation, new regulations, or even political and social shifts can make what was promised at the start of the project no longer relevant at the time of delivery.

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In this episode, Ricardo discusses the impact of the AI Act, the European regulation on artificial intelligence (General-Purpose AI models). The law, passed in 2024 and fully in force in 2026, began imposing strict rules on general-purpose AI models such as GPT, Claude, and Gemini on August 2, 2025. Projects using these AIs, even for simple integration, must also follow ethical, privacy, and transparency requirements. This changes the role of the project manager, who now needs to ensure legal compliance. Despite criticism that the law limits innovation, Ricardo emphasizes that it signals technological maturity. For him, adapting is essential to avoid risks and add value to projects.

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