Dawn Dahlke

Artificial intelligence is changing the way we work, and project management is no exception. From drafting communications and organizing meeting notes to identifying risks, developing project plans, and preparing status reports, AI is quickly becoming another tool available to project managers. The question is no longer whether AI will have a place in project management. It already does. The more important question is how we choose to use it.

When used thoughtfully, AI has the potential to make project managers more effective, not by replacing the knowledge, experience, and human judgment required to lead projects, but by helping us work more efficiently with the information already available to us. It can help organize ideas, improve communication, identify questions we may not have considered, and reduce administrative work that often consumes valuable time. That gives project managers more opportunity to focus on the parts of the profession that technology cannot replace: leadership, relationships, decision-making, critical thinking, and understanding the people behind the project.

However, getting value from AI requires more than simply opening a tool and asking it a question. Project managers still must understand the information they work with, protect sensitive data, verify AI-generated content, follow organizational policies, and recognize when human judgment needs to take the lead. A polished AI response is not necessarily accurate, and efficiency should never come at the expense of accountability.

Throughout my own exploration of AI in project management, one principle has continued to stand out: use AI to improve the questions at the beginning of a project, not to manufacture answers the project has not earned. AI can help us think, organize, communicate, and challenge our assumptions, but the project manager remains responsible for deciding what is accurate, appropriate, and valuable.

Used in that way, AI is not taking project management away from project managers. It lets us become better at it.

AI Is a Tool, Not the Project Manager

One of the most important things we need to understand about AI is that it is a tool. It can process information quickly, reorganize content, suggest ideas, identify patterns, and help us communicate more effectively. What it cannot do is understand a project the same way the project manager and project team do.

A project manager understands the history behind a decision. We know when a stakeholder is concerned, even when that concern isn't clearly written in the meeting notes. We understand organizational culture, team dynamics, competing priorities, customer expectations, and the conversations that happened before a project ever officially began. Those details matter.

AI only knows what we give it.

That is why the quality of the information and direction we provide matters so much. If we give AI incomplete information, we cannot assume its answer fills those gaps correctly. If we provide vague instructions, we may receive a polished response that does not actually address what the project needs.

The project manager must remain the person asking the questions, evaluating the response, applying context, and ultimately making the decision.

That does not make AI less valuable. It makes understanding how to use it even more important.

Giving Project Managers Time Back

One of the greatest benefits I see from AI is its ability to give project managers something we rarely have enough of: time.

Think about how much of a project manager's day can be spent taking meeting notes, rewriting communications, preparing status updates, organizing action items, creating agendas, summarizing discussions, and turning information from several sources into something stakeholders can understand.

These activities are important, but they also take time away from conversations with our teams, strategic planning, risk management, problem-solving, and leadership.

AI can help with some of that administrative work.

For example, a project manager can take approved meeting notes and ask AI to organize them into decisions, action items, risks, and open questions. A long technical discussion can become an executive summary for leadership. Rough notes can become the starting point for a professional stakeholder communication.

The key phrase here is starting point.

The project manager should still review the information, verify it accurately reflects what occurred, correct anything wrong, and make sure the final communication sounds like it came from someone who understands the project.

AI may help create the first draft. We remain accountable for the final draft.

Improving Project Communication

Communication has always been one of the most important parts of project management, and it is also one of the areas where AI can provide immediate value.

Project managers communicate with very different audiences. A technical team may need detailed requirements and dependencies, while executives may only need the current status, major risks, decisions, and business impact. Customers may need an entirely different explanation.

The information may be the same, but the communication should not be.

AI can help project managers adjust information for different audiences without changing the underlying facts. It can help simplify technical language, shorten lengthy updates, organize scattered notes, improve clarity, and identify areas where a message may be confusing.

But AI should not create certainty where certainty does not exist.

If a project does not have a confirmed completion date, AI should not create one simply because the communication sounds better with a date included. If a decision has not been made, the final message should not imply that it has.

Good communication is not about making a project sound perfect. It is about making the project's actual condition understandable.

Strengthening Planning and Risk Management

AI can also be valuable during project initiation and planning.

When starting a project, project managers often work with incomplete information. We develop objectives, identify stakeholders, clarify scope, gather requirements, document assumptions, and begin to understand risks and dependencies.

This is where AI can become a useful thinking partner.

Instead of asking AI to create the entire project plan, we can ask questions such as:

What questions should I ask before finalizing these requirements?

What stakeholders might be missing from this discussion?

What risks should the project team consider?

What assumptions appear to be present in this project description?

What additional information would be needed before developing a realistic schedule?

Those questions use AI very differently.

Rather than asking technology to make decisions for us, we use it to challenge our thinking and identify areas that deserve further investigation.

This is where I believe AI can strengthen project managers. It doesn't have to provide the answer to add value. Sometimes its greatest value is helping us recognize the questions we have not asked yet.

Better Meetings Without Replacing the Conversation

Meetings are another area where AI can make a noticeable difference.

A project meeting may contain decisions, action items, technical explanations, risks, disagreements, follow-up questions, and information that needs to be communicated to people who were not present. Turning all of that into usable documentation can take almost as much time as the meeting itself.

AI can help organize that information.

It can separate decisions from discussion points, flag potential action items, draft follow-up questions, and create summaries for different audiences.

However, project managers should be careful not to allow AI-generated meeting summaries to become the official version of events without review.

There is a difference between what was discussed and what was decided. There is a difference between someone mentioning an activity and that person accepting ownership of an action item.

Those distinctions matter.

AI can organize the conversation. The project manager must understand it.

Supporting the Entire Project Life Cycle

The opportunity to use AI does not end after planning.

During execution and monitoring, AI can help organize project status information, summarize progress, prepare stakeholder updates, review risks and issues, and help project managers identify questions about trends appearing in project data.

During project closeout, AI can help organize lessons learned, summarize project results, develop stakeholder surveys, and prepare transition documentation.

This makes information collected throughout the project more useful instead of letting it disappear into meeting notes, emails, folders, and archived project documents.

Used appropriately, AI can support the project manager from initiation through closure.

But the same rule applies at every stage: AI supports the process. It does not own the process.

The Importance of the Human Side of Project Management

As AI becomes more capable, I believe the human side of project management becomes more important, not less.

People ultimately complete projects.

People need leadership. They need communication. They need someone willing to have difficult conversations, resolve disagreements, understand competing priorities, and recognize when something is happening within a team that will never appear on a dashboard.

AI cannot build trust with a stakeholder.

It cannot take responsibility when a decision goes wrong.

It cannot fully understand why a team member who normally participates has suddenly become quiet during meetings.

It cannot replace the experience of a project manager who recognizes that a project may technically be green while conversations within the team suggest something very different.

Those are human responsibilities.

The future of project management should not be about choosing between artificial intelligence and human intelligence. It should be about understanding how the two can work together while recognizing where each belongs.

Using AI Responsibly

With opportunity also comes responsibility.

Organizations need to think carefully about what information they can enter into AI systems. Project managers routinely work with confidential information, customer information, internal strategies, financial information, contracts, employee information, and other sensitive material.

Convenience cannot override responsibility.

Before using an AI tool, project managers should understand their organization's policies, use approved tools, protect confidential information, and know what information should never be entered into an AI system.

We also need to verify what AI gives us.

AI can produce information that sounds convincing but is still incorrect. Project managers should validate facts, calculations, dates, requirements, references, and other important information before using AI-generated content in project documentation or communications.

Responsibility does not transfer to the technology simply because it generated the content.

If my name is on the communication, report, plan, or recommendation, I need to understand and stand behind what it says.

Developing Good AI Habits

Learning to use AI effectively is becoming another professional skill.

That does not mean project managers need to become AI experts. It means we need to develop good habits.

Before using AI, we should understand what we are trying to accomplish. We should provide enough context for the tool to understand the task, identify the intended audience, explain the desired format, establish appropriate boundaries, and specifically tell the tool when it should not make assumptions or invent missing information.

Then we need to review the result.

A strong AI workflow is not:

Prompt → Copy → Send

It should look more like:

Determine the need → Select the appropriate approved tool → Protect the information → Provide context → Prompt → Review → Verify → Personalize → Approve → Use

That extra human review is not an inconvenience in the process.

It is part of responsible AI use.

AI Is Changing the Profession, and That Can Be a Good Thing

Project management has always evolved.

Our tools have changed. Our methodologies have changed. The way teams communicate and collaborate has changed. Remote work, digital collaboration platforms, automation, and data analytics have all changed how projects are managed.

AI is another significant change.

We can respond by fearing what AI might replace, or we can learn to use it to strengthen what project managers already do well.

I believe the greatest opportunity is not using AI to do project management for us. It is using AI to create more space for us actually to be project managers.

If AI can reduce the time we spend formatting notes, rewriting the same information for different audiences, organizing documentation, or staring at a blank page trying to determine where to begin, then we can spend more time leading teams, talking with stakeholders, understanding risks, solving problems, and thinking about where our projects are going.

That is where the real value lies.

AI will keep changing, and the tools we use today will likely look very different in the future. What should not change is the project manager's responsibility to think critically, protect information, communicate honestly, validate what we produce, and put people at the center of the project.

When we approach AI with those principles in mind, it doesn't diminish the project manager's role.

It gives us another tool to become better ones.

The Skills Life Taught Me Before I Ever Became a Project Manager

There was a time when I never imagined I would become a technical project manager, graduate summa cum laude with a 4.0 GPA, pursue a master's degree, prepare for my PMP certification, or begin writing a book about artificial intelligence and project management.

My career did not begin with a carefully mapped-out plan.

For much of my life, I did what needed to be done.

I spent 18 years as a 911 dispatcher, where I learned to remain calm when everything around me was urgent. At the same time, I spent 20 years as a single mother raising three children.

Life required me to become organized. It required me to prioritize. It required resilience, adaptability, communication, problem-solving, and the ability to keep moving when I was tired or uncertain.

I did not realize it at the time, but life was teaching me how to lead.

We Don't Always Recognize Our Own Strengths

One of the most influential people in my career was my mentor, Beth McGinnis.

Beth recognized abilities in me that I had not yet learned to recognize in myself. She saw that the skills I had developed as a dispatcher and a mother could translate into a career in project management.

She encouraged me to step outside my comfort zone and take a chance on myself.

I remember being told that I could either sink or swim.

I chose to swim.

That decision did not suddenly make me fearless. I still had doubts. I still had things to learn. I certainly did not have every credential or qualification I would eventually pursue.

What changed was that I stopped believing I needed to have everything figured out before I could take the next step.

That lesson has stayed with me throughout my career.

Stop Discounting the Skills Life Has Taught You

I believe women, especially women who have spent years balancing careers, children, households, caregiving, and countless other responsibilities, sometimes underestimate the professional value of what they have learned simply by navigating life.

We call it "just being a mom."

We call it "doing what needed to be done."

But think about what those experiences actually require.

Organization. Prioritization. Negotiation. Communication. Conflict resolution. Adaptability. Budgeting. Time management. Problem-solving. Leadership.

I am not suggesting that life experience replaces education, training, or professional experience. It does not.

I am saying we should stop pretending it has no value.

Some of the most important skills I bring to project management were developed long before "Project Manager" appeared in my job title.

My years as a 911 dispatcher taught me to stay composed under pressure and communicate clearly in difficult situations.

Raising three children as a single mother taught me perseverance, flexibility, and how to keep moving when Plan A was no longer an option.

Those experiences shaped the project manager and leader I am today.

Your Career Does Not Have to Follow a Straight Line

I eventually transitioned from 911 dispatching into a completely different professional world.

My career progressed through client service, project coordination, Scrum, project management, and eventually technical project management.

I learned along the way.

I asked questions.

I made mistakes.

I accepted opportunities that stretched me.

I learned from people who knew more than I did.

And sometimes I walked into situations thinking, I really hope I can figure this out.

Then I figured it out.

Years later, I returned to school.

I earned my bachelor's degree in Organizational Leadership with a concentration in Project Management from Arizona State University, graduating summa cum laude with a 4.0 GPA. I continued my education and am now nearing completion of my Master of Project Management.

I am preparing for my PMP certification and writing AI for Project Managers, a book intended to help project management professionals navigate one of the biggest changes happening in our profession.

None of this happened because I woke up one morning and suddenly became a different person.

It happened one decision at a time.

That is something I want women to hear, particularly women who believe they are too old, too busy, too far behind, or too established in one life to build another.

You are allowed to change direction.

Stop Waiting Until You Feel Completely Ready

One of the biggest lessons I have learned is that readiness and confidence do not always arrive before opportunity.

Sometimes they arrive because you accepted the opportunity.

Women can be particularly hard on themselves when looking at a new position or opportunity. We see ten qualifications, meet eight, and immediately focus on the two we do not have.

We tell ourselves:

I need another certification.

I need more experience.

I need to know more before I apply.

Maybe next year.

Education and credentials matter. I value them enough to keep pursuing both.

But credentials should strengthen your career, not become the reason you never begin one.

Sometimes you need to trust what you already bring to the table and be willing to learn the rest.

I certainly did not know everything when I entered project management.

I still do not know everything.

None of us do.

The willingness to continue learning may be more valuable than pretending we have reached a point where there is nothing left to learn.

Progress Usually Doesn't Look Impressive While It's Happening

We often see someone's success after years of work and assume there must have been a defining moment when everything changed.

My experience has been very different.

Progress often looks incredibly ordinary while you are living it.

• It is taking one class after work.
• It is submitting the application.
• It is asking someone to mentor you.
• It is speaking up in the meeting.
• It is studying after everyone else has gone to bed.
• It is asking the question you are afraid everyone else already knows the answer to.
• It is accepting a position that scares you a little.
• It is getting something wrong and coming back the next day determined to understand it.
• It is choosing not to quit.

None of those moments necessarily feel life-changing when they happen.

But repeated over years, small decisions can completely change the direction of your life.

Find Someone Who Sees What You Cannot Yet See

I cannot tell my story without talking about mentorship.

Beth saw something in me before I completely saw it in myself.

I believe many women need that person at some point in their careers.

• Find people who challenge you, not just reassure you.
• Find people who will tell you when you are ready for something bigger.
• Find people who will teach you what they know.

And when you reach a position where you can be that person for another woman, become her Beth.

• Tell her to apply.
• Answer her questions.
• Recommend her for the opportunity.
• Tell her what you wish someone had told you.

Sometimes changing someone's career begins with a remarkably simple sentence:

"I think you can do this."

Success Should Not Require You to Stop Being Human

Project management has taught me a great deal about processes, schedules, risks, resources, technology, and delivery.

But the longer I work in this profession, the more convinced I become that the human side matters just as much.

Technology is making that even more important.

Artificial intelligence is changing project management, which is one reason I began writing AI for Project Managers. AI can help us organize information, analyze data, improve communication, document meetings, identify patterns, and work more efficiently.

But I don't believe technology replaces the experience, judgment, relationships, empathy, and leadership people bring to their work.

A tool can help you prepare for a difficult conversation.

It cannot care about the person sitting across from you.

It can organize project information.

It cannot earn your team's trust.

It can suggest an answer.

You still have to decide whether that answer makes sense.

As our workplaces become more technical, I believe the women who succeed will not simply be the ones who know how to use the newest tools. They will be the ones who know how to combine those tools with judgment, curiosity, communication, and humanity.

To the Woman Who Thinks She Cannot Move Forward

Maybe your obstacle looks nothing like mine.

• Maybe you are raising children.
• Maybe you are caring for aging parents.
• Maybe you are starting over after a relationship ended.
• Maybe you have been out of the workforce.
• Maybe money is tight.
• Maybe you are surrounded by people who seem further ahead.
• Maybe you have spent so many years taking care of everyone else that you are not even sure what you want anymore.

Or maybe there is an opportunity sitting in front of you right now, and the only person telling you that you cannot do it is you.

I cannot promise that moving forward will be easy.

I cannot promise you will never doubt yourself.

I can tell you that uncertainty does not mean you are incapable.

• Your path does not have to look like anyone else's.
• Your age does not determine whether you can learn something new.
• Your previous career does not dictate your next one.
• Your responsibilities do not erase your ambitions.
• And the difficult chapters of your life do not disqualify you from writing a different ending.

Sometimes those chapters are where you developed the strength you will need for everything that comes next.

Years ago, someone challenged me to sink or swim.

I chose to swim.

Looking back, I realize I have made that choice many times since.

• Every degree.
• Every new role.
• Every difficult project.
• Every time I walked into something I wasn't completely sure I was ready for.
• Every time life changed the plan and I had to find another way forward.

I chose to keep swimming.

So, to the woman standing at the edge of something new and wondering whether she is ready:

• You do not need to have your entire future figured out today.
• You do not need to become fearless.
• You do not need anyone's permission to want something more for yourself.

• Take the class.
• Apply for the position.
• Ask the question.
• Find the mentor.
• Learn the technology.
• Take the opportunity.
• Take one step.
• Then take another.

You may be surprised by how far those small steps eventually take you.

You don't have to know exactly where the water will take you. You just have to be willing to take the first stroke.