AI Impact: Transforming the Future of Projects

Get AI ready with PMI. Use the content, resources, and insights on this hub to help you leverage the power of AI — for your projects, your teams and your career.

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FEATURED AI CONTENT

Shaping the Future of Project Management With AI
Project managers with AI skills will stand out. Our report offers a framework for navigating your AI learning journey.

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Talking to the Machine: Prompt Engineering Essentials for Project Professionals
The rise of generative AI (GenAI) tools like ChatGPT and PMI Infinity requires project professionals to master the art of crafting effective prompts to communicate with AI tools.

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AI-Powered Project Management Is a Journey
Organizations are already using AI to improve how they manage projects but it’s not a turnkey solution — AI is a journey that requires skills training and proper data management.

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Reimagining the Role of the Project Manager
The mainstreaming of AI is transforming role of the project manager to one of strategic leadership. Get ready now by trying these easy generative approaches.

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QUICK TAKES

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AI will make project management better. It will allow us to make a more significant contribution, to have more influence over outcomes, to help our teams develop. I don’t know many project managers who wouldn’t prefer that over generating a status report.

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Andy Jordan, "Why AI Isn't Coming to Take Your Job"

 

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AI is about covering the blind angles that are preventing us from delivering projects that we want. Projects are beautiful, transformative things, and the more we can run projects smoothly, the more everybody will be confident in launching new projects.

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Milie Taing, “How Project Leaders Are Using AI”

 

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We’ve been working with AI…to analyze data, learn from patterns, forecast and much more. We see the use of AI exploding and making room for a lot of innovative enhancements … but also with our approach to problem-solving on projects.

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Desiree Underwood, “Is Anyone Actually Using AI on a Project?”

FAQs

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  • AI encompasses a wide range of technologies — from machine learning (ML) and natural language processing (NLP) to robotics. AI is found in common apps (voice assistants, chatbots) and advanced systems (self-driving vehicles, manufacturing robots). In the world of projects, two branches of AI are most relevant: machine learning, which uses algorithms and data to recognize patterns and predict outcomes, and generative AI (GenAI), which uses large language models (LLMs) to produce content — like ChatGPT, Bard or Bing.

  • AI can reduce organizational costs and save time for project professionals by optimizing tasks such as resource allocation, scheduling, planning, estimating, drafting documents and more. AI can also dramatically improve decision-making by analyzing vast amounts of data to flag risks, identify issues and recommend mitigation strategies or alternative approaches. By handling these tasks, AI will allow project managers to focus on the human factors that most often steer projects off course.

  • AI can help organizations and teams work more efficiently but it still can’t manage projects on its own. To thrive in an AI-enabled environment, project professionals must develop and hone capabilities that support and complement the things that AI can do. The PMI Talent Triangle® can help with its focus on Ways of Working, Power Skills and Business Acumen. AI enables ways of working that can empower teams to improve efficiencies and organize data, whereas strong business acumen can ensure efforts align with broader organizational strategy. Power skills, such as communication, problem-solving and collaborative leadership, can help project managers harness and maximize the potential of AI to improve results.

  • AI is not a panacea. There are risks in relying on AI to do too much or do things that need a human perspective and touch. AI does things with data that we can’t, but bad or incomplete data will result in outputs that do more harm than good unless they are carefully evaluated. There are also immediate and longer-term ethical concerns that organizations must address, including issues of privacy, bias and plagiarism. AI is a journey, and organizations and individuals must lead where it goes.

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PREVIOUS AI REPORTS FROM PMI

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AI @ Work: New Projects, New Thinking
To turn AI strategy into reality, organizations — and their project leaders — will need a high project management technology quotient.

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AI Innovators: Cracking the Code on Project Performance
To unlock the true value of AI, organizations will need collaboration between humans and machines.

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Maximizing the Benefits of Disruptive Technologies on Projects
How organizations will manage the impact of disruptive technologies, and the role project management plays.

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