PMO Leader | Speaker & Mentor | Content Leader – PMOGA Latin America
Hub| Catholic University of UruguayMontevideo, Montevideo, Uruguay
The world of project management is undergoing a significant shift with the rise of Artificial Intelligence (AI). While AI automates tasks and offers valuable insights, project success still hinges on human expertise. To thrive in this new era, project managers need to develop a unique skillset that bridges the gap between traditional project management and the capabilities of AI. So, the question becomes: what specific skills do project managers need to effectively navigate this AI-powered landscape and ensure project success?
As AI introduces new processes and tools, PMs must be skilled in managing change, helping teams adapt to new technologies, and ensuring smooth transitions with minimal disruption. Saving Changes...
Thomas WalentaGlobal Project Economy ExpertHackenheim, Germany
Fabian,
As with all deep changes, attitudes or mindsets are more important than skills. An open view of what is happening, courage to try new things and cut off old ties, curiosity to experiment, and engaging and teaming up with like-minded people are important for PMs. Saving Changes...
Senior Projects Manager | Field & Marten AssociatesNew Westminster, British Columbia, Canada
Fabian, I do agree with Kiron. Moreover, I personally believe Soft/Interpersonal Skills will be critical especially emotional intelligence, decision making, and leadership! Saving Changes...
I would consider critical thinking skills as absolutely essential. Otherwise how do you judge the correctness of the solutions provided by AI? Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
AI is a board term. We are using AI from more than 40 years ago sometimes without being aware on that. If we are talking about the new generative AI model then Project/Program/Portfolio Managers, Business Analyst, and other roles are dead in terms those roles have been defined in the origin. If people that is assigned to this roles do not understand they have to figure out how to reinvent then in my humble opinon they are lost.
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2 replies by Booma Pugazhenthi and Fabian Crosa
Jul 19, 2024 5:53 PM
Fabian Crosa
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I agree Sergio, but AI has become popular in recent times and for many project managers it is something new and that is why I consider that the debate is important because we have to think about all PMs, those who have already incorporated the term and those for whom the term is new.
Aug 03, 2024 10:02 PM
Booma Pugazhenthi
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AI 40 years ago was primarily rule-based, focusing on narrow, specific tasks and requiring extensive human programming for each application. Today's AI, particularly generative models, use deep learning and neural networks to process vast amounts of data, allowing them to generate human-like text, images, and solutions across a wide range of domains with minimal specific programming. This shift has dramatically expanded AI's capabilities, enabling it to tackle complex, open-ended tasks and even exhibit creative problem-solving, marking a fundamental change in how AI can be applied in various fields including project management.
I agree with Keith about critical thinking skills being very crucial in this AI-focused Project Management landscape. Couple that with staying abreast of and being knowledgeable about PM methodologies, ever-changing technology solutions, industry research/practices, competitive data, etc...all while having a standardized process in place to validate AI-generated outputs derived from prompt engineering. This wholistic approach will amplify AI utility and Project Management professionals' overall value to any organization. Total reliance on AI could potential lead to project failure. It requires human interaction, leadership skills and a team-focused, continous-learning environment.
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1 reply by Fabian Crosa
Jul 19, 2024 5:54 PM
Fabian Crosa
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I agree Sandra the profession every day requires PMs to have knowledge of a variety of disciplines.
PMO Leader | Speaker & Mentor | Content Leader – PMOGA Latin America
Hub| Catholic University of UruguayMontevideo, Montevideo, Uruguay
Jul 18, 2024 1:46 PM
Replying to Sergio Luis Conte
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AI is a board term. We are using AI from more than 40 years ago sometimes without being aware on that. If we are talking about the new generative AI model then Project/Program/Portfolio Managers, Business Analyst, and other roles are dead in terms those roles have been defined in the origin. If people that is assigned to this roles do not understand they have to figure out how to reinvent then in my humble opinon they are lost.
I agree Sergio, but AI has become popular in recent times and for many project managers it is something new and that is why I consider that the debate is important because we have to think about all PMs, those who have already incorporated the term and those for whom the term is new. Saving Changes...
PMO Leader | Speaker & Mentor | Content Leader – PMOGA Latin America
Hub| Catholic University of UruguayMontevideo, Montevideo, Uruguay
Jul 18, 2024 5:08 PM
Replying to Sundra Brooks, MBA, PMP, CSM, CSPO
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I agree with Keith about critical thinking skills being very crucial in this AI-focused Project Management landscape. Couple that with staying abreast of and being knowledgeable about PM methodologies, ever-changing technology solutions, industry research/practices, competitive data, etc...all while having a standardized process in place to validate AI-generated outputs derived from prompt engineering. This wholistic approach will amplify AI utility and Project Management professionals' overall value to any organization. Total reliance on AI could potential lead to project failure. It requires human interaction, leadership skills and a team-focused, continous-learning environment.
I agree Sandra the profession every day requires PMs to have knowledge of a variety of disciplines. Saving Changes...
Minhaaj RehmanCEO| Psyda SolutionsDubai, United Arab Emirates
Technical Literacy
Basic understanding of AI
Data analysis
Proficiency in AI-driven tools
Strategic Thinking
AI integration
Risk management
Change Management
Adaptability
Stakeholder communication
Critical Thinking
Problem-solving
Decision-making
Interpersonal Skills
Collaboration with AI specialists
Team leadership
Ethical and Responsible AI Use
Ethical considerations
Bias mitigation
Continuous Learning
Staying current with AI advancements
Ongoing education and training
Project Management Fundamentals
Core PM skills (planning, scheduling, resource management)
Hybrid methodologies (combining traditional, agile, and AI tools) Saving Changes...
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