What will project management be like in the future? Are we at the point where most of the changes have already happened, or will there be ongoing reimagining of what project management is all about?
Practical, day-to-day AI tools are already at your disposal. The project managers who know how to work with these tools are delivering differently—and better—than those who do not.
Artificial intelligence and machine learning projects have a lot of schedule uncertainty due to the time needed to train a model to perform subjective work. It's important to recognize the differences from managing a traditional software project.
Question: A new PMP® exam is here. The head of our PMO asked me to see if it would have any effect on how we train our people to sit for the exam. Also, does it foretell any changes we may need to make in the way we do business? I’m concerned that there may be new information or alterations in the way existing employees, whether PMPs or not, should be conducting the day-to-day business of our organization if we want to stay competitive?
Continuity can be fragile in healthcare. A portfolio perspective does not replace clinical expertise; it reinforces the underlying architecture that makes it possible. It brings coherence to decisions, stability to operations, and a more consistent experience.
Generative Artificial Intelligence (AI) has rapidly become a powerful tool, transforming the way we create content, learn, and even interact. Generative AI has revolutionized the way Project Managers, ...
Generative Artificial Intelligence (AI) has rapidly become a powerful tool, transforming the way we create content, learn, and even interact. Generative AI has revolutionized the way Project Managers, ...
IntroductionNowadays, Artificial Intelligence (AI) has rapidly become a transformative force in project management. From automating routine tasks to providing advanced analytics and decision support, ...
I was taking a long walk with my wife (who, incidentally, also holds an MBA) at 2:45 P.M. on June 21, 2026, when a DeLorean with some strange gizmo on its trunk seem to come out of nowhere (why so spe ...
Leading Organizations That Think Faster Than HumansLeadership has always operated with delay.Information takes time to travel.Patterns take time to become visible.Consequences take time to emerge.Lead ...
IntroductionGenerative Artificial Intelligence (AI) has rapidly become a powerful tool, transforming the way we create content, learn, and even interact. Generative AI has revolutionized the way Proje ...
Although most Agile frameworks emerged from software development practices, over the last decade, “Agile” has become a discussion topic and even a target state in many organisations. From boardrooms t ...
We have all lived this story. A congested junction gets a flyover. For a few weeks, traffic flows. Then the jam reappears, not at that junction, but at the next one down the road, which was never buil ...
Project cancellations are among the most challenging moments a project manager can face—both professionally and emotionally. This article explores how to lead with clarity, integrity and emotional intelligence when a project must end before its completion.
As part of the development of the Manifesto for Enterprise Agility, PMI spoke with executive leaders about how organizations can build this capability in practice. Dr. Leon Herszon, CEO & President of Value Edge Group, shares perspectives on leading continuous reinvention, operating models to enable agility, and more.
The role of the project manager continues to evolve, and it’s hard to nail down exactly will be needed as time moves forward. But business acumen and sustainability are becoming essential parts of our occupational evolution.
For years, effort was relatively predictable in story points. AI is starting to change that. That creates an uncomfortable question for agile teams: If story points are meant to represent effort, what happens when effort suddenly becomes harder to define?
PMI interviewed executives from a range of industries about how AI is changing the way organizations operate and what it means for enterprise agility. Their perspectives reveal how AI expands what agile organizations are capable of achieving.
This growing collection of enterprise agility content—including executive interviews, thought leadership articles, blogs and webinars—explore what it takes to lead, enable and sustain agility across the enterprise.
The World Cup has thrilled a global audience with amazing feats of athleticism and jaw-dropping comebacks. But did you know it's also the perfect showcase for agile project delivery?
To be optimally effective, AI tools need to consume massive amounts of historical data as part of their training, learning how organizations work so that they can provide the most appropriate guidance. Is your historic data at least reasonable?
Managing AI projects without understanding AI can create uncertainty, misalignment, and risk.AI literacy enables project managers to plan realistically, manage risks effectively, collaborate with AI teams, and deliver meaningful business outcomes. “AI Literacy for Project Managers” is designed for PMs leading—or preparing to lead—AI-driven initiatives.
In this interview, Johan Roos frames enterprise agility as a matter of change readiness, rooted in people’s capabilities. He emphasizes leaders’ role in modeling desired behaviors while noting that everyone must build the curiosity, creativity, critical thinking, communication and collaboration needed for continuous change. Roos also discusses AI as a tool to amplify human judgment and concludes that agility requires stronger collaboration across interconnected ecosystems.
Many organizations are experimenting with AI, but only a small number successfully move beyond pilots into measurable enterprise impact. AI initiatives often stall because project teams focus on the technology while underestimating governance, data readiness, stakeholder alignment, risk management, change adoption, and value realization.
**PMI Led Webinar** As the first and only global standard for AI in portfolio, program, and project work, "The Standard for Artificial Intelligence in Portfolio, Program, and Project Management" (PMI 2026) gives project professionals a practical foundation for applying AI responsibly. This webinar will help attendees understand the Standard’s guiding principles, performance domains, and applied use cases — and how to use them to bring more structure, accountability, and confidence to AI adoption. The Standard for Artificial Intelligence in Portfolio, Program, and Project Management - https://www.pmi.org/standards/artificial-intelligence
To its proponents, there is very little that artificial intelligence can’t do. In those areas where there are limitations and constraints, the expectation is that they will be overcome exponentially quickly. We are told that automation fueled by artificial intelligence will fundamentally remake and reshape the work place.
Designed for leaders responsible for outcomes, not experiments, this session reframes AI implementation as an execution and change problem—not a technical one—and offers a practical way to move from ambition to impact without unnecessary complexity.
Artificial intelligence is rapidly reshaping how organizations deliver projects, make decisions, and manage risk. This webinar explores the emerging discipline of AI governance and its practical implications for project managers, PMOs, and business leaders.
This session explores what responsible, systemic leadership looks like in a complex Changing World.
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