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.
Utilize PMI Infinity – PMI’s AI platform – to help you optimize and reach project success. Plus, read the PMI Thought Leadership report GenAI and Agile: Amplifying Human-Centered Collaboration, along with more industry-leading reports! And gain insights from around the world in the Community-led AI in Project Management Report!
Prompt engineering is the process of talking with an AI (like ChatGPT and PMI Infinity) to generate the most accurate and relevant responses. Project managers can design, test, and refine these prompts and use creative and precise language to guide AI models to produce our desired output. Do you have a great prompt (or prompt chain) that you've tested and performs well? Share the wealth with your fellow PMs and add it here. Don't forget to remove any personal or proprietary information before you post.
Did you know PMI Infinity has a library of community generated and vetted prompts? If you would like to submit a prompt to our review process, check out the Infinity Prompt Library to learn more.
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***This is a PMI-Led Webinar*** Your AI tools are only as powerful as you make them. In this hands-on session, we'll use PMI Infinity™ to walk through a reusable framework for using AI tools in real project management work, showing how prompting thoughtfully, using agents, and consolidating project context can help you enhance output quality while reducing task completion time.
The difference between using AI and getting great results from AI is prompt engineering, the skill of speaking the language of AI.
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.
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.
The world of work isn't slowing down and neither is the project profession. The people who move when it matters are the ones who lead. At PMI® Global Summit 2026, you'll discover what it means to be Built to Move. Gain future-ready skills in AI, technology, and leadership. Hear from the voices shaping what's next. And walk away equipped for the realities of today, not the playbook of yesterday.
In this PMI report, explore how GenAI strengthens agile teams by supporting trust, surfacing risks, and enabling breakthroughs—while keeping human judgment and collaboration at the center of project success.
Technology offers an incredible opportunity to improve project performance. This blog shares the latest research and how organizations are implementing AI into their project methodology. Come with an open mind, increase your knowledge, share your concerns, and become a project manager with new skills to offer an organization.
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?
ProjectManagement.com presents a full day of live learning, practical takeaways, and on-demand resources to help you build AI confidence—and earn PDUs along the way.
Following the webinar “From Learning to Practice: Applying the CPMAI Methodology on Real-world AI Projects,” PMIxAI Ambassadors Yahiro Takegami and Jung Soo Kim share how they apply the CPMAI methodology in their everyday work—and what they have learned along the way.
Your newest team member has no job description, no manager, and no probation period. And it is already sending work to your stakeholders.
Two powerful forces are reshaping how organizations design and deliver projects: artificial intelligence and sustainability. Increasingly, leaders refer to their convergence as twin transformation—the coordinated integration of digital innovation, particularly AI, and sustainable development objectives to drive long-term value creation.
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GenAI adoption depends on sustained alignment across levels of project work, rather than on isolated technological enhancement. A framework sets out three levels that must move together.
AI can appear so lifelike, so helpful, and so available. Just make sure you are keeping emotional intelligence at the forefront and not letting the self-centeredness of AI weaken your EI skills.
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