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39% of Core Workplace Skills Will Change by 2030: What This Means for Project Managers

A rapidly changing employment market means that AI proficiency is now a critical must-have skill for today's Project Managers, alongside technical and human skills. Project Managers must now pair traditional expertise like Agile and stakeholder communication with practical AI competencies in order to develop in their career.

For decades, career success in project management has been built on two distinct foundations: 

  • Technical skills: The specific expertise required to perform your role.

  • Human skills: Communication, leadership, emotional intelligence, adaptability, and critical thinking. 

Master those two, and you’ve traditionally been well-positioned for a thriving career. But fast-forward to today, and that equation has fundamentally changed.

With the World Economic Forum's latest Future of Jobs Report estimating that 39% of today's core workplace skills will change by 2030, AI has been identified as one of the fastest-growing requirements in today's job descriptions. 

Meaning, there is clearly now a third pillar of employability: AI skills.

Here’s how this is affecting the project management sector and employment demand.

Written by

As a Career Consultant at Learning People, Kalene offers one-to-one personal guidance to those wanting to launch or expand their career in project management.

Kalene CamphausenProject Management Career Consultant
Kalene Camphausen

AI’s Impact: The Fastest Workplace Shift We've Ever Experienced 

AI is no longer a specialist discipline reserved for data scientists or software engineers; it has become a core workplace competency, with research from software company HiBob revealing just last month that three-quarters of employers will see AI proficiency as a baseline expectation over the next two years. 

Back in 2023, The Guardian reported that generative AI reached an estimated 100 million users within just two months of launch, making it one of the fastest-adopted technologies in history, while setting a clear precedent for the future of jobs globally. 

Today, AI and LLMs are being used for everything from content creation to task automation. Software development company Elementor recently reported that 78% of global companies use AI in their operations, indicating that organisations aren't waiting for AI to mature; they're embedding it into products, services, and everyday business operations right now.

Looking even closer, PwC’s 2026 AI Jobs Barometer found that since 2022, when AI adoption soared, the most AI-exposed companies have seen faster productivity growth. It’s no wonder then that workers with AI skills command a 62% wage premium. And this includes project management and delivery.

Did You Know? Project Managers are Leading the Way with AI Transformation

A recent report by the International Market Analysis Research and Consulting (IMARC) Group revealed that the global AI in Project Management market was worth 3.1 billion USD in 2024, and is projected to grow to 10 billion USD by 2033.

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How the Project Management Sector Is Already Responding to AI

Although the discussion around AI implementation is often focused on the tech sector, project professionals are a crucial part of this innovation. As AI-powered automations take on the monotonous tasks and streamline risk identification, Project Managers have more time to focus on strategy and impact.

In fact, a recent survey by the Association of Project Management found that between 2023 and 2025, the use of AI within projects almost doubled, from 36% to 70%. 

In a survey by APM, task and schedule automation, resource allocation, risk analysis and forecasting, reporting and dashboarding, and stakeholder communications ranked as benefiting the most from AI use.

The foundations of successful delivery haven't changed; projects still depend on leadership, stakeholder engagement, communication, governance, and sound decision-making. What has changed is the toolkit - this is where our trifecta of skills comes into play. 

Balancing Human, Technical and AI Skills is the Key 

We recently launched additional AI training, embedding sector-specific AI skills into all of our courses. This training aims to provide every single person who enrols with us with a trifecta of skills, setting them up for success in the 2026 job market:

 

Skills type  Definition Sector-specific examples
Technical skills Also known as hard skills, these are technical abilities and specialised knowledge required to perform specific tasks. They’re often measurable and are typically learned through formal education or hands-on experience.
  • Agile methodologies
  • Data analysis and reporting
  • Scrum methodologies 
Human skills Also known as soft skills, these are interpersonal and behavioural abilities that influence how you work and interact with others. They aren’t tied to specific technical knowledge. 
  • Conflict resolution
  • Presentation skills
  • Problem-solving
AI skills  The competencies and abilities required to develop, implement, manage, and interact with AI systems effectively.
  • Write and improve prompts
  • Check outputs
  • Automate workflows
A layered triangle diagram showing three overlapping sections labeled from left to right: Technical Skills, Human Skills, and AI Skills. Each triangle section increases in size from right to left.

I asked Sophi, one of our Senior Career Services Consultants, why Project Managers with these three skills appeal to employers: 

 

I help students and alumni apply for jobs and prepare for interviews every day, which means I have read a lot of job descriptions. Again and again, I see employers asking for a balance of hard, soft and AI skills, especially in project management roles. 

Remove any one of those skill pillars and the cracks in your project skill set begin to show. In my experience, when applicants strengthen all three, they become significantly more adaptable in a constantly evolving job market.

 

Bridging the AI Skills Gap: Moving From Theory to Practice 

Yes, AI is transforming every sector, including project management; however, this doesn’t mean that you need to understand the complex inner workings of every new algorithm or learn how to code.

The key to bridging the AI skills gap is to focus on practical, productive utility.

By learning how to leverage AI effectively in your role as a Project Manager, you build an adaptable skill set. You stop trying to constantly chase what AI is doing, and instead learn how to let AI help you evolve. 

Everything we do at Learning People is focused on helping you succeed and future-proof your career for the long term. This is why every student who enrols with us gets access to expert career support, as well as being equipped with technical, human, and AI skills.

Book a free career consultation today to learn more about our project management courses.

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