The Uses and Impact of AI in Project Management
Did you know that Project Management is one of the leading sectors in AI transformation and adoption across the globe? Whether you're looking to start or progress your Project Management career, make sure you understand how AI is being used in project-based roles and how this is impacting the industry.
If you’re reading this, chances are you’re either starting out in project management or looking to take the next big step in your career... and you’ve probably noticed just how much everyone is talking about AI right now.
I've worked in Project Management career consultancy for over a decade. Over the last year in particular, I've spoken to so many aspiring or current project management professionals who are excited (and sometimes a bit nervous) about how artificial intelligence might change the way projects are managed. Some are even wondering what it means to be a Project Manager at all in an AI world.
The truth is, AI isn’t replacing Project Managers. It’s helping them.
Helping them work smarter by improving planning accuracy, identifying risks before they happen, and freeing up time for more strategic, human decisions. And for people like you who want to launch or progress their career, this is an incredible opportunity to stand out in a fast-changing job market.
In this guide, I’ll walk you through how AI is being used in project management today, what kinds of tools and processes are shaping the industry, and which AI-related skills and training can help you future-proof your career.
If you’d like to see how AI is transforming the wider world of work, you might also enjoy our guide on AI’s impact on jobs.
Written by
With over a decade of experience in project management education and industry, Matt has become our in-house expert. Matt is an Enrolment and Growth Manager at Learning People, consistently helping students to advance their careers through learning and certification.
What's on this page?
Jump to:
- Why AI is becoming essential in project management
- How is AI being used commonly in Project Management?
- The most popular AI-powered tools for project managers
- How AI is changing the role of the project manager
- The AI skills every modern project professional should learn
- Benefits and challenges of using AI in project management
- How to start adopting AI in your project work
- The future of AI in project management
- Final thoughts on AI in project management
- FAQs on AI in Project Management
Why AI is becoming essential in project management
Project management is evolving fast, and AI is right at the heart of that change. In fact, we recently wrote about how Project Managers are leading the global AI transformation.
From predicting risks to automating routine admin, artificial intelligence is helping project professionals save time, make better decisions, and deliver results with more confidence. It’s not about replacing people; it’s about giving Project Managers the insights and efficiency they need to lead smarter.
From 2023 to 2024 in the UK alone, the number of organisations using AI tools more than doubled from just 9% to 22%, according to the Office for National Statistics. In 2025, that growth is being felt across every major industry, from construction to finance, as teams turn to AI to improve delivery, forecasting, and collaboration.
For Project Managers, this shift means opportunity.
Those who understand how to use AI to plan, monitor, and adapt will stand out in a competitive market. The best professionals aren’t fighting against technology — they’re learning to partner with it. In a world where data drives every decision, knowing how to use AI effectively could be the skill that defines your next career move.
How is AI being used commonly in Project Management?
When I speak to aspiring Project Managers, one of the most common questions I get is: “What can AI actually do in project management?”
The short answer? A lot. But here’s how it breaks down in practice:
1. Planning, scheduling and resource management
AI can analyse past project data to create smarter schedules, spot resource bottlenecks, and even suggest the best way to allocate your team’s time. It learns from previous projects, meaning every plan becomes more accurate.
2. Risk prediction and mitigation
AI models can flag risks before they escalate. By spotting trends across budgets, workloads, and timelines, they can estimate where issues are most likely to arise, giving you more time to act.
3. Predictive analytics
Instead of relying on instinct alone, AI gives you data-backed insight. It highlights where overruns are most likely and suggests where to intervene early.
4. Automation of admin
Project updates, progress reports, and task reminders can all be automated. That means less spreadsheet wrangling, and more time spent on people, strategy, and problem-solving.
5. Communication and reporting
With natural language tools like ChatGPT built into project software, PMs can generate meeting summaries, stakeholder reports, and even risk registers automatically.
This isn’t just about speed. It’s about accuracy, focus, and freeing your time for high-value work, the kind that makes great project managers stand out.
7 in 10 Project Managers (likely more) are already using AI...
The Association for Project Management (APM) found that seven in ten project managers are already using AI in some way, from risk analysis to resource planning, and seeing real benefits.
The last thing I want to do is add to the AI fear-mongering, but what this statistic suggests is that the risk of falling behind is very real if you resist AI adoption in the project management sector. Below, I outline some tools and approaches to make this adoption seem less intimidating.
The most popular AI-powered tools for Project Managers
You don’t need to be a data scientist to start using AI in your project work. Many of the very user-friendly, everyday project management tools you probably already know, love, and use include AI features:
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Microsoft Project, Asana, and Jira now include AI modules that forecast deadlines and resource constraints.
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Monday.com and ClickUp use AI to generate task summaries and automate workflows.
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Slack and Teams bots can track project updates and nudge your team when deadlines approach.
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Power BI and Tableau integrate AI-driven analytics to give you live insights from project data.
How AI is changing the role of the Project Manager
From my research into the Project Management job market, my understanding is that what employers in this sector are looking for is changing. They’re not just looking for people who can “keep projects on track” — they want project professionals who can use technology to make smarter decisions.
Here’s how the role is evolving:
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From task manager to strategic advisor. With AI automating the admin, PMs are spending more time on leadership, communication, and stakeholder strategy.
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Data fluency matters more than ever. Being able to interpret dashboards, trends, and predictions is a growing differentiator.
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Continuous learning is key. AI evolves fast, so staying curious about new tools and features is essential.
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Collaboration is expanding. You might find yourself working alongside data analysts, AI engineers, or automation specialists to bring insights to life.
If you’re thinking about building your career in this space, it’s worth reading our Project Manager career path guide — it outlines what skills, certifications, and experience are most in demand in the UK job market.
My top tip? You don’t need to be an expert to use AI effectively in project management
You don't need to be a world-leading AI thought leader to effectively use AI as a project manager; you just need to learn how to use AI for managing projects.
This might sound like an over-simplification, but what I mean is that you should learn AI in a vocational way, putting your efforts into learning the skills, practices, and softwares that project managers actually need in their sector. While many courses might promise to broadly "teach you AI", what you need is to sharpen specific skills that will give you the edge in the project sector.
That's why our AI for Project Managers programme brings together industry-relevant learnings — like how to improve risk management, stakeholder analysis, and project visualisation — into focused training modules, so we don't overwhelm project managers with the broad-strokes approach. This helps them learn the AI skills they truly need.
The AI skills every modern project professional should learn
Here’s where I’d suggest focusing your upskilling efforts if you want to stay ahead:
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AI fundamentals – understand the basics of models, data, and how machine learning works.
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Data literacy – interpreting data visualisations, dashboards, and metrics.
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Ethical awareness – understanding the responsible use of AI and bias in algorithms.
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Practical tool experience – getting familiar with AI features in tools you already use daily.
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Communication and leadership – translating complex insights into clear, actionable plans.
Combined, these skills will help you bridge the gap between technology and teamwork, which is something every modern project needs.
The most successful Project Managers aren’t necessarily the most technical; they’re the ones who know how to connect people, data, and tools to achieve better outcomes. By building a balanced mix of technical understanding and human-centred skills, you’ll be well placed to lead projects that are both innovative and grounded in real-world results.
62% of Project Managers are optimistic about the use of AI in their sector
A survey of 1,000 project professionals conducted for the Association for Project Management (APM) revealed growing optimism about the use of AI in project work.
While only 15% had a positive view on AI's use for managing projects in 2023, this had risen to over 60% in 2024. The report also revealed that Project Managers saw benefits of using AI in the following areas:
- Task and schedule automation – 50% of project professionals using AI who have seen a benefit
- Resource allocation – 50%
- Risk analysis and forecasting – 50%
- Reporting and dashboarding – 49%
- Stakeholder communications – 43%
Benefits and challenges of using AI in project management
Benefits
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Smarter planning: predictive scheduling reduces delays and budget overruns.
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Better risk management: AI can surface potential issues before humans might spot them.
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Time savings: automation of admin means less time reporting, more time leading.
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Continuous improvement: AI learns from previous projects, improving accuracy over time.
Challenges
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Skills gap: 35% of UK businesses cite a lack of AI expertise as their top adoption barrier. (TechUK)
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Data quality: AI models need accurate, consistent data to be effective.
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Cultural resistance: not everyone’s ready to trust AI recommendations yet.
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Governance: as AI use grows, so does the need for clear ethical and compliance frameworks.
Understanding both the opportunities and limits of AI is what makes a project professional valuable — not just tech-savvy, but balanced and informed.
How to start adopting AI in your project work
Good news: if you're already working in project management, and are feeling a bit stumped or anxious about where to start with bringing AI into the mix, there are safe, simple, a quick ways to do this.
Here's my suggestion below:
It’s also worth remembering that adopting AI isn’t about doing everything at once.
The best Project Managers start small, stay curious, and build confidence step by step. You might begin by using AI to tidy up meeting notes or forecast simple timelines before moving on to more advanced analytics. Treat it like any other skill — something to practise, experiment with, and improve over time. The goal isn’t perfection; it’s progress, and every small win helps you work more intelligently and efficiently.
The future of AI in project management
Looking ahead, I expect AI will become as normal a part of project work as Gantt charts once were. Emerging trends include:
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Conversational AI that allows PMs to manage projects using natural language prompts.
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Explainable AI models that make predictions more transparent and trustworthy.
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Adaptive project systems that learn from outcomes and automatically improve.
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Integration with enterprise platforms like ERP, CRM, and BI systems, creating a single source of project truth.
This shift also aligns with the UK government’s long-term strategy, which identifies AI and project management as critical growth areas for the next decade. You can read more about that in our articles on the UK Government’s assessment of priority skills to 2030 and 10-year infrastructure strategy.
Final thoughts on using AI in project management
Becoming an AI-fluent Project Manager isn't about becoming a world-leading AI expert. It's about knowing the skills that employers are looking for in this sector, such as ethical prompting and AI-driven risk management strategies, and honing in on them.
The best Project Managers of tomorrow will be those who embrace it early, use it wisely, and balance it with strong leadership and communication skills.
So, whether you’re just stepping into project management or ready to move into a more senior role, understanding AI will help you make better decisions, lead more efficiently, and future-proof your career.
And if you’d like some help figuring out which AI or project management training you need to achieve your career goals, we’d love to chat — that’s exactly what our team is here for. Hit the button below to introduce yourself and talk to our team for free.
FAQs on Using AI in Project Management
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