Anthropic Mythos: When AI Creates Risks We Cannot Predict

In this episode, Ricardo discusses KPIs (Key Performance Indicators). He explains that KPIs are essential metrics that support decision-making in projects, unlike general metrics that only report data. Effective KPIs help anticipate problems, expedite decisions, and align teams and stakeholders. Examples for schedule performance include the percentage of tasks completed on time, the planned versus scheduled duration, the SPI (Schedule Performance Index), and the average delay per delivery. For cost, the CPI (Cost Performance Index) and cost variance measure efficiency. Beyond schedule and cost, strategic KPIs are essential, such as rework rate, value delivered, adherence to the business plan, and stakeholder satisfaction, as projects can meet time and budget targets and still fail. Ricardo recommends using a few meaningful KPIs, tracking trends, updating them frequently, and avoiding superficial metrics that don't guide decisions. Tune in to the podcast to learn more!

In this episode, Ricardo explains that rework is an invisible yet highly destructive problem in projects. Although organizations measure schedule, cost, and scope, they rarely monitor rework, the effort spent correcting already completed work. This lack of measurement obscures the project's true efficiency. Rework often stems from deeper problems, such as unclear requirements, misalignment among stakeholders, late decisions, or low initial quality. Its impact is significant: delays increase, costs rise, teams become exhausted, and client confidence decreases. Ricardo argues that rework should be treated as a key performance indicator, continuously monitored to assess the project's health. When measured, it drives better behaviors, improving quality, decision-making, and alignment. Ultimately, projects fail not only due to delays but also due to wasted effort, with rework being one of the main hidden factors contributing to this failure. Tune in to the podcast to learn more!

In this episode, Ricardo discusses how artificial intelligence is transforming project management by moving beyond being just a tool and becoming an active agent in decision-making and execution. He highlights the emergence of new, unpredictable, and difficult-to-control risks that can arise from the interaction between systems. He also emphasizes concerns about manipulation and cybersecurity, since AI can both protect and attack. This scenario challenges traditional risk management practices. In response, he suggests continuous monitoring, controls focused on detection and rapid response, and reinforcing human responsibility. Despite the benefits, understanding these new risks has become essential. Tune in to the podcast to learn more!

In this episode, Ricardo discusses anxiety in project management, a subtle yet pervasive risk that undermines performance. Constant urgency creates pressure-driven cultures in which clarity fades, and teams react rather than think. Under anxiety, decision quality declines: people choose speed over sound judgment, avoid difficult conversations, hesitate to escalate issues, and mistake activity for real progress. Overwhelm also causes risk blindness, with warning signs ignored and problems delayed. Organizations often respond by increasing control through more meetings and reporting, which only intensifies the cycle. To address this, leaders must acknowledge anxiety as systemic, slow down critical decisions, and foster psychological safety so issues surface early. Ultimately, projects depend on people, and sustained pressure leads to poorer outcomes and reduces long-term value and well-being. Tune in to the podcast to learn more!

In this episode, Ricardo discusses the growing use of AI agents in projects and highlights an essential point: decisions can be automated, but responsibility remains human. Tools such as collaborative platforms and automation engines already perform tasks, prioritize activities, and interact with stakeholders autonomously. Despite their efficiency, there is an illusion that responsibility can also be transferred to AI, which is not true. In case of error, the responsibility falls on whoever designed the system. Thus, the manager's role evolves, it goes from simply executing to designing decision-making systems, defining limits, and validating logic. The recommendation is clear: automate tasks, support decisions, but never delegate responsibility. Tune in to the podcast to learn more!

In this episode, Ricardo explains that projects age not only over time but also when they lose energy, relevance, and purpose. Many continue to be taken for granted, even as markets, technology, and priorities change. He warns that past investments do not justify continuing, as they do not guarantee future value. Signs of aging include a lack of clarity about the purpose, low team motivation, and decisions based on outdated assumptions. Reviewing or even ending a project is not a failure, but demonstrates leadership. Maintaining “zombie” projects consumes valuable resources. Therefore, leaders must continually assess whether the project remains viable, delivers value, and aligns with current realities. Listen to the podcast to learn more!

In this episode, Ricardo discusses the importance of maintaining rhythm, not hysteria, for projects to be sustainable. He explains that many organizations confuse productivity with a chaotic environment full of emergencies, constant meetings, and changing priorities. This scenario only creates the sensation of movement but doesn't guarantee real progress. For Ricardo, rhythm means consistency, cadence, and continuous advancement with focus and energy, while hysteria puts the project in a permanent state of emergency. This generates fatigue, worsens decision-making, and reduces the quality of work. He emphasizes that projects are made by people and that exhausted teams lose motivation and make more mistakes. Therefore, leaders must define clear priorities, respect the team's capacity, and create a sustainable environment to achieve consistent results. Listen to the podcast to learn more about!

In this episode, Ricardo Vargas celebrates International Women’s Day while reflecting on the importance of diversity in projects. He explains that projects often fail not because of technical issues but because teams fall into uniform thinking, where everyone analyzes risks and decisions from the same perspective. Complex projects require contrasting viewpoints, experiences, and interpretations. The participation of women strengthens decision-making, risk analysis, communication, and stakeholder engagement. Ricardo emphasizes that diversity is not only about fairness but about performance, collective intelligence, and better results. When women can fully participate, challenging ideas, leading, and influencing decisions, projects become more robust and complete. He concludes that real inclusion means ensuring women’s voices are heard and that diversity should be treated as a fundamental condition for delivering better projects. Listen to the podcast to learn more about!

In this episode, Ricardo explains that many projects fail not because of technical issues, but because the global context changes during execution. Elections, wars, sanctions, and trade tensions can shift priorities, block suppliers, and unexpectedly increase costs. Geopolitics goes beyond armed conflicts; it includes global supply chains, interest rates, exchange rates, and environmental regulations. Trade restrictions can halt infrastructure projects, export limitations can delay the delivery of critical equipment, and regional conflicts can raise material costs. Higher interest rates affect project financing, while currency fluctuations can quickly make contracts unviable. Regulatory changes also impact scope and timelines. So, project managers must include macroeconomic risks in planning, work with multiple scenarios, and involve leadership when the context changes to stay aligned with strategy in a globally unstable environment. Listen to the podcast to learn more!

In this episode, Ricardo explains that the true enemy of a project is not risk, but illusion. Although teams dedicate significant effort to risk management—creating registers, assessing probability and impact, and defining mitigation plans—many failures arise from collective self-deception. Unrealistic schedules, underestimated budgets, and overly ambitious scopes are often accepted to satisfy expectations and gain approval. Unlike uncertainty, which is natural in complex environments, illusion is culturally constructed and reinforced by pressure, incentives, and overconfidence. The planning fallacy drives teams to underestimate time and cost. Effective project leadership means confronting illusions early, making trade-offs explicit, and protecting reality. Projects fail not because of known risks, but because uncomfortable truths are ignored. Listen to the podcast to learn more!