AI agents are changing project management. Powered by generative AI, they promise to boost productivity and creativity by changing the traditional roles of project managers.

According to The Science of Machine Learning, “AI Agents are a fundamental concept in artificial intelligence, representing the embodiment of intelligent behavior within a system.”

As company leaders begin to trust AI agents to perform tasks previously performed by a person the floodgates will open. Because agents can ask other agents to do work, tasks once taking hours will be performed instantaneously. Speeding up the process for producing reports, statuses, and sending notifications. We begin to see why it is important for every project professional to get up to speed on how the landscape is changing.

AI agents will do as much work as we trust them to do.

It’s time to wake up to the truth. AI is here. AI agents will do as much work as we trust them to do. It’s time to open your mind to the possibility of how the role of the project management professional must change to stay a relevant contributor in bringing value to clients.

6 ways AI Agents may impact the work of project managers

1. Reduce time spent on tactical planning and execution tasks: AI agents are advancing from performing simple tasks like generating content to executing complex, multi-step workflows. These “agentic” systems are not just tools but partners capable of autonomously planning, implementing, and iterating workflows.

2. Pivot to more strategic activities: By automating routine and complex tasks, AI agents free human project managers to focus on more strategic and creative aspects of their roles. This shift can lead to more innovative project outcomes and a more efficient allocation of human expertise.

3. Less time spent performing routine analysis: AI agents excel in integrating and working with existing digital tools and platforms. This ability allows them to handle tasks that typically require human intervention, such as data analysis, scheduling, and resource allocation.

4. Performing the same work more efficiently: In finance and software development industries, AI agents can undertake tasks ranging from risk assessment in loan underwriting to managing legacy software upgrades. These applications show the potential of AI agents to handle diverse and complex scenarios that are currently challenging and time-consuming.

5. Expectation of competency in AI Agent usage: Organizations must prepare to integrate AI agents by developing new training programs for project managers and redefining job roles to focus on skills that AI cannot replicate, such as leadership and emotional intelligence.

6. New responsibilities to mitigate risks of AI Agent use: With the autonomy of AI agents comes the need for robust oversight mechanisms. Businesses must establish clear protocols to manage, monitor, and mitigate the risks associated with autonomous agents to prevent costly errors or misuse.

If you want to own your career as a project management professional, build a plan to increase your awareness of how AI is developing and being integrated into our field. What follows is a structured six-month framework a motivated Project Management Professional can use to prepare themselves for what is coming.

Each month includes activities aimed at building a solid foundation for AI integration, with a focus on continual learning and adaptation. This schedule can help a Senior Project Manager not only prepare for the upcoming changes but also position themselves as a leader in AI-driven project management.

Month 1: Research and Awareness

Objective: Understand AI's current state and future trends in project management.

Activities:

1. Attend webinars and workshops about AI technology in project management.

2. Read industry reports and articles, focusing on AI advancements.

3. Engage with peers in professional networks to discuss AI applications in project management.

Month 2: Skill Assessment

Objective: Identify skill gaps related to AI and digital transformation.

Activities:

1. Conduct a self-assessment or work with HR to evaluate current skills against the demands of AI-enhanced project management.

2. Identify areas for improvement, such as data analytics, machine learning basics, and digital tools proficiency.

Month 3: Training and Development

Objective: Begin acquiring the necessary skills and knowledge.

Activities:

1. Enroll in courses related to AI, data science, and automation.

2. Participate in hands-on workshops or boot camps focusing on practical applications of AI in project management.

Month 4: Pilot Testing

Objective: Apply AI tools on a small scale to gain practical insights.

Activities:

1. Choose a small project or part of a project to implement AI tools.

2. Document the process, note challenges and successes, and gather team feedback on AI integration.

Month 5: Process Re-engineering

Objective: Refine processes to better integrate AI capabilities.

Activities:

1. Review and adjust project workflows to incorporate AI tools effectively.

2. Develop protocols for decision-making and problem-solving with AI assistance.

3. Update project documentation and training materials to include AI tools and methods.

Month 6: Review and Scale

Objective: Evaluate the pilot and prepare for wider implementation.

Activities:

1. Analyze the outcomes of the pilot project and identify key learnings.

2. Create a detailed report on the pilot, including recommendations for full-scale implementation.

3. Develop a scaling plan to deploy AI tools across more projects or the entire organization.

Take responsibility for applying what you have learned and integrate it into your work or create special projects that you can show those outside your organization. Proof of work may be the distinguishing factor in your career.

Resources to help you

Explore these programs and organizations for training and ideas you can incorporate into your 6-month learning plan:

• Coursera — Generative AI for Project Managers: Offers comprehensive training on generative AI applications in project management​ (Coursera).

• Learning Tree — Artificial Intelligence Strategies for Project Managers Training: Provides hands-on guidance on utilizing AI for project success​ (Learning Tree International | Home).

• Cognilytica — AI & ML Project Management Training & Certification: Focuses on best practices and fundamentals of AI and machine learning in project management​ (Cognilytica Courses).

• PMI.org — Artificial Intelligence in Project Management: A series of courses and certifications from PMI geared towards integrating AI into project management​ (PMIxAI).

• IBM — AI Essentials for Project Managers: Provides courses on AI fundamentals and their application in business and project management through Coursera​ (Coursera).

• AcademyXi — AI for Project Managers: Focuses on the practical application of AI tools in project management and future-proofing project strategies​ (Academy Xi).

• Project Management PrepCast — Master AI in Project Management: Offers an in-depth course on leveraging AI for project management efficiency and innovation​ (PM PrepCast).

• Bridges Academy — Generative AI for Project Managers: Provides insights into using generative AI to enhance team collaboration and data analysis in projects​ (Bridges Consult Inc).

• Udemy: Offers various courses on AI applications in project management, focusing on foundational knowledge and specific tools. (The Complete Artificial Intelligence and ChatGPT Course)

• LinkedIn Learning: Features several courses on AI for project managers, including using AI for data-driven decision-making and project optimization. (LI Learning)

• Google Cloud Training: Provides insights into how AI can be integrated into cloud-based project management solutions. (Intro to AI)

• Microsoft Learn: Offers training on AI integration within project management, focusing on Microsoft tools and platforms. (Microsoft Project Meets AI: Revolutionizing Project Management)

• Pluralsight: Features technology-specific AI courses that can benefit project managers looking to integrate AI tools. (AI Skills Development)

• Simplilearn: Offers AI and machine learning courses that project managers can use to understand the impact of AI on project workflows. (AI and Machine Learning Courses)

• Harvard Online Learning: Provides courses on AI fundamentals that can help project managers understand the strategic implications of AI.

• Stanford Online: Offers advanced courses on artificial intelligence that could benefit project managers seeking deep tech integration. (AI Courses and Programs)

• MIT OpenCourseWare: Features systems and project management courses that include aspects of AI integration.

• EdX: Offers a range of courses on AI from universities and colleges worldwide, tailored to enhancing various business practices including project management.

Closing Thoughts

In conclusion, as AI agents become more sophisticated, their potential to transform project management is immense. However, the successful integration of these technologies will require careful planning, training, and ethical consideration to fully realize their benefits while managing potential risks.