During Carnival week in Brazil, Ricardo connects celebration with project management. Carnival, one of the world's largest cultural events, symbolizes creativity, energy, discipline, and months of preparation. Behind the music and parades lies structured planning, budgeting, rehearsals, and well-defined roles—just like in projects. However, in professional life, teams often move from one milestone to another without celebrating achievements. Projects demand resilience, discipline, and sacrifice, and each victory deserves recognition. Celebrating is not a waste of time; it's emotional fuel. It reinforces positive behaviors, strengthens the sense of belonging, reduces burnout, and highlights progress. Just like in Carnival, successful projects deliver results and build stronger, more motivated teams along the way.

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In this episode, Ricardo presents Cloud Cowork, an agentic AI model from Anthropic that goes far beyond traditional conversational assistants. It is designed to execute complete tasks within real contexts such as files, folders, documents, reports, and workflows. Ricardo highlights its strong applicability to project management and other forms of structured knowledge work, where a large amount of time is spent on operational activities like organizing documents, consolidating data, reviewing information, and preparing reports. By delegating these tasks to an AI agent that plans and executes work in a structured way, professionals can shift their focus from execution to orchestration, decision-making, and strategy. Speaking as a satisfied user with no affiliation to Anthropic, Ricardo strongly recommends testing Cloud Cowork to understand the real impact of agentic AI on projects, PMOs, and organizations.

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In this episode, Ricardo explains the difference between Generative AI, AI Agents, and Agentic AI—topics that are widely discussed but often misunderstood. He draws on a clear explanation by Filipa Peleja, presented during the O’Reilly Super Stream on Generative AI. Generative AI, based on large language models, responds to prompts and produces text, ideas, and analysis, but it has no initiative, goals, or independent decision-making. AI Agents, on the other hand, are given a goal and can plan tasks, use tools, interact with systems, and execute actions in sequence, with operational autonomy within defined rules. Finally, Agentic AI involves systems of agents working together, with memory, adaptability, and evolving strategies, raising major challenges around governance, ethics, and accountability.

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In this episode, Ricardo analyzes the 21st edition of the World Economic Forum's Global Risks Report 2026, highlighting the end of predictability and the beginning of the so-called "era of competition." The report points to a more turbulent global scenario, with 50% of leaders predicting instability in the next two years, driven by geoeconomic confrontation that threatens global supply chains. Ricardo explains that in the economic field, high global debt and increased spending on defense, energy transition, and artificial intelligence make capital more expensive and scarcer, requiring extreme financial rigor in projects. Misinformation intensifies social polarization. As a strategic response, the report proposes a "coalition of the willing": moving forward with truly committed groups, without waiting for total consensus.

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In this episode, Ricardo warns against a common mistake in organizations: believing that more tools and software mean more maturity. Many companies invest in expensive platforms, dashboards, and impeccable reports, but continue to make poor decisions. Tools don't create maturity; they only highlight what already exists. If there is no prioritization, clear criteria, and decisions, technology only organizes the confusion. Teams end up spending more time feeding systems than thinking about projects. Abundant indicators do not compensate for the absence of priorities. Maturity is not about having the best software, but about knowing who decides, based on what criteria, and what changes when something deviates from the plan. Without this, any tool becomes just a digital ornament.

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In this episode, Ricardo reflects on his participation at CES 2026 through the lens of project management, highlighting a structural shift rather than new gadgets. Using LEGO’s smart bricks as an analogy, he explains how projects today extend, not replace, traditional foundations by integrating data, AI, and digital capabilities. He highlights Project AVA, a holographic AI advisor, as an example of projects becoming complex ecosystems where hardware, software, data, governance, ethics, and security must work in harmony. From AI-powered consumer products to robotaxis like Zoox, projects now continue beyond delivery into ongoing operation. Ricardo concludes that project managers are evolving into value orchestrators who connect technological possibilities with meaningful, responsible value for organizations and society.

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In the first episode of 2026, Ricardo warns about the biggest mistake that ruins projects early in the year: saying yes to everything. January brings optimism, pressure for fast results, and a belief that everything is possible, leading to overloaded portfolios and teams working far beyond capacity. Projects are planned under unrealistic assumptions, confusing hope with real capacity. Failures don’t happen at the end of the year, but at the beginning, when wrong choices are made. Strong projects start with focus, tough decisions, and renunciation. The key question is not what to start, but what not to do. Saying no early is less painful than canceling projects later. Projects fail not due to a lack of ideas, but an excess of promises.

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