The Competency Revolution: What skills are we developing for the future?

In short:

• By 2030, nearly 40% of today’s core competencies will change, fundamentally challenging existing competency models and development priorities. This article explains why this shift is not primarily about technology, but about human capabilities such as judgment, adaptability, and learning agility becoming strategic sources of competitive advantage in an AI-shaped world.
• As AI takes over an increasing share of routine tasks, the real differentiator for organizations becomes how people think, decide, and collaborate. The article explores the growing role of mindset, self-management, and interpersonal capabilities, and why these elements increasingly separate future-ready organizations from those falling behind.
• Preparing for the future goes far beyond identifying skill gaps. The article highlights why integrating assessment with development is critical and shows how objective measurement, feedback, and intentionally designed learning journeys translate insight into sustainable behavior change and organizational impact.

 

Imagine it’s 2030. Our work will be significantly different from today: AI assistants handle routine tasks, our team works virtually across three continents, and we’re solving problems that don’t even exist yet.

The question isn’t whether this will happen, but whether we’re prepared for it.

The good news: we know what skills we’ll need. The bad news: the majority of organizations are still preparing for yesterday’s competencies.

The 39% challenge

The World Economic Forum’s 2025 report states clearly: by 2030, 39% of today’s core competencies will change. This isn’t gradual evolution, it’s revolution. Data from over 1,000 global employers representing 14 million workers shows: we need to rethink the world of work.

And yet, there’s no need to panic. Because this revolution isn’t about machines taking over everything. Quite the opposite: it’s about the value of human capabilities increasing.

The AI paradox: when machines make humans stronger

Here’s the strange situation: the more tasks AI takes over, the more important our distinctly human capabilities become.

Workday’s 2025 global study surveyed 2,500 workers across 22 countries. The surprising result: 83% of workers believe AI makes uniquely human skills more important. Not less important, but more important.

Think about it: when AI generates a report in seconds, the report creation isn’t the value. It’s that someone can interpret it. Put it in context. Use it creatively. Raise ethical questions about it.

Harvard Project Zero’s research teaches us the dividing line: AI excels at “reckoning” (calculation, computation, prediction), but humans are indispensable in “judgment” (decision-making under uncertainty, deliberation, ethics, practical wisdom).

As one McKinsey leader aptly put it: “Winning with an AI-enabled strategy requires real investment in both technical skills and the human capabilities that technology can’t replicate.”

The future’s T-shaped professional

For decades, specialists were the winners: the deeper the expertise, the better. In the AI era, this changes. We still need specialists, but according to a new formula.

Based on research, the future workforce has a T-shaped competency profile:

• The vertical bar of the T: deep technical/digital expertise
• The horizontal bar of the T: broad human capabilities: cognitive, emotional, social skills

The three pillars

1. Cognitive skills: the foundation

Analytical thinking ranks first in every study, 70% of employers consider it essential. But alongside it are creative thinking (the fastest-growing soft skill according to WEF), critical thinking, and systems thinking.

Why? Because these are the skills through which humans add something to AI. AI finds patterns, humans see new connections. AI optimizes, humans reimagine.

2. Self-management skills: the key to survival

Flexibility, adaptability, and resilience are in the top 5 everywhere. Deloitte’s 2024 study covering 95 countries highlights that curiosity, growth mindset, and emotional intelligence distinguish high-performing teams from others.

An interesting finding from i4cp research: workforce future-readiness (adaptability mindset) has twice the impact on market performance as AI-related technical preparedness.

What global research signals, DEVELOR’s own large-scale data now clearly confirms. Insights from the DEVELOR L&D Kaleidoscope Report, based on input from more than 1,770 HR and L&D professionals across 24 countries, show that self-management and mindset-related capabilities — such as resilience, growth mindset, and adaptability — are among the most frequently prioritized development areas, yet also among those where organizations struggle most to achieve sustainable behavior change. The data highlights a recurring pattern: without mindset-level development, even well-designed skill programs fail to translate into lasting impact in everyday work.

Read that again: mindset is twice as important as technical knowledge. We can fully confirm this statement based on our many thousands of training days delivered so far; the need for mindset-shift programs is gradually growing year by year.

3. Interpersonal skills: The human advantage

Empathy, leadership, social influence, communication, and collaboration. These aren’t “softer” skills. They’re the foundation of competitive advantage. We like the new approach of calling them “power skills” instead.

McKinsey’s forecast predicts demand for social and emotional skills will grow 11-14% in Europe by 2030. Why? Because the more complex an organization is, the more virtual the work, the more AI tools we use, the more we need people who can unite teams, and build trust and psychological safety.

What about technology?

Of course, technical skills are needed too. In fact, these are growing fastest in absolute numbers. AI and big data knowledge, networks, and cybersecurity expertise, and technological literacy will be basic skills for all of us.

Insights from the DEVELOR L&D Kaleidoscope Report reinforce this shift from another angle. Across regions and industries, HR and L&D leaders consistently rank digital mindset and AI-related capabilities as the fastest-rising development priority, moving from a secondary focus to the top of the agenda within a single year. At the same time, the data reveals a crucial nuance: organizations are investing less in pure technical depth and more in enabling employees to work confidently, responsibly, and effectively with technology in their everyday roles.

But here’s the twist: not everyone needs to become an IT or AI expert. What’s needed is an AI mindset, as emphasized by PwC, Asana, and other research institutes – and clearly echoed in DEVELOR’s findings. The challenge is no longer access to tools, but adoption: helping people overcome uncertainty, experiment safely, and integrate AI into decision-making without losing human judgment, accountability, and ethical awareness.

What is an AI mindset? (And why it’s not just a tech issue)

An AI mindset isn’t about knowing how to write code. According to experts and our own approach, it consists of five key elements:

1. Future-positive mindset: optimistic vision of an AI-enabled future
2. Growth mindset: belief in continuous skill development
3. Agile mindset: comfort with iteration and change
4. Collective mindset: shared responsibility, collaboration focus
5. Comfort with ambiguity: flexibility with uncertain outcomes

NYU researcher Conor Grennan puts it best: “Mastering AI isn’t about technical prowess, it’s about shifting how you think and work. Unlike learning software, AI requires a mindset that is open to continuous experimentation, seeing AI as a partner, not just a tool.”

DEVELOR’s AI Mindset program is built on exactly this: we don’t teach tool usage mainly, but the mindset that enables creating value by collaborating with AI while maintaining our human judgment and ethical sense.

Competency development isn’t an HR issue – it’s a business strategy

This brings us to the strategic question: if we know what the future competencies are, why aren’t we acting on them?

There is a gap between recognition and action and it is a serious danger. Because meanwhile:

• By 2030, 59% of the workforce will need retraining
• 170 million new jobs will be created, with new competency profiles
• Competitors are already investing

Good news: proven solutions exist.

The assessment of future skills

Future individual assessments, like Assessment Centers, will not measure current competencies, but significantly new ones, like:

• Judgment under uncertainty
• Ethical reasoning
• Interpersonal influence
• Creative problem-solving in complex situations

But what’s even more important: they also measure learning agility and adaptability. Because the question isn’t what you know today, but how quickly you can learn new things.

DEVELOR’s Assessment and Development Center services are built on this: integrated evaluation and development that combines reliable measurement of soft skills with personalized development pathways.

360 Degree Feedback as a foundation for development

Before investing in large-scale development initiatives, organizations need a clear and credible picture of current leadership behaviors. 360 Degree Feedback provides this by capturing structured input from managers, peers, direct reports, and key stakeholders. It highlights strengths, blind spots, and development priorities across critical future leadership competencies, creating a strong starting point for targeted, meaningful development journeys.

When competency development starts in kindergarten

An interesting finding from the OECD research: the competencies being developed in childhood education today align perfectly with what the future workforce will require.

According to OECD Education Policy Outlook 2025, priority areas in early childhood:

• Curiosity and autonomy
• Persistence and confidence
• Communication and inquiry
• Early critical thinking
• Creativity and sense of responsibility

Do these concepts sound familiar? These are the same ones WEF, McKinsey, Deloitte, or DEVELOR are looking for in the adult workforce.

This message: there’s societal consensus about which fundamental capabilities survive every technological change. And we’re building them now, we just often forget, as adults, that we need to keep developing them.

What should we do in February 2026? (And after)

1. Map your current state

You can’t reach the destination if you don’t know where you’re starting from. Start with a competency mapping that gives you a clear picture of where your organization stands – both in technical capabilities and human skills.

For quick organizational snapshots, 360 Degree Feedback provides a reliable overview of leadership behaviors across multiple perspectives. For deeper individual insights, future-focused Assessment Centers reveal not just what people know today, but how ready they are to learn tomorrow.

2. Align frameworks to your reality

Global frameworks like the WEF top 10, McKinsey DELTAs, and European LifeComp offer valuable direction. But generic frameworks rarely work as-is.

The key is adaptation: take what global research tells us, then translate it into a specific competency model that fits your industry, corporate culture, and strategic priorities. This is where custom competency frameworks become essential, they bridge the gap between what research says matters and what actually matters in your organization.

3. Integrate assessment with development

Assessment is the starting point, the real value comes from what happens next: turning insights into action.

Build a continuous cycle: assess competencies → create development plans → design professional learning journeys → reassess progress. Development Centers are designed exactly for this: they don’t just measure gaps; they create roadmaps to close them.

4. Focus on the T-shaped profile

Don’t force a choice between technical skills and human capabilities. The future belongs to people who have both.

This means pairing technical training – like learning to work effectively with AI tools and mindsets – with development in distinctly human areas: strategic thinking, communication that builds trust, and the ability to lead across differences and generations.

Programs that develop collaborative leadership or strengthen future leadership capabilities aren’t separate from technical upskilling, they’re what make technical skills valuable.

5. Build a learning culture through psychological safety

The biggest competency today: the ability to learn. But people can’t learn in environments where they’re afraid to ask questions, admit they do not know something, or fail.

This is fundamentally a leadership challenge. Leaders create the conditions where curiosity thrives or dies. When teams feel psychologically safe, they naturally experiment, take smart risks, and develop new capabilities, those “digital playgrounds” Deloitte describes emerge organically.

Building this starts with leadership:

• Creating psychological safety where people dare to speak up and try new things
• Leading with emotional intelligence, especially during change and uncertainty
• Developing practical skills for managing emotions and mental health
• Building inclusive cultures that work across generational differences

When leaders get this right, learning becomes part of how the organization breathes, not something you schedule once a quarter.

The 2030 scenario

Let’s return to the opening image. In 2030, in successful organizations:

• People don’t compete with AI, they collaborate with it
• Creativity, empathy, and judgment are as valuable as technical knowledge
• Continuous learning is a natural part of daily work and corporate culture
• Competency development is a strategic investment, not an HR cost
• Assessment and development are integrated processes

This isn’t the future – it’s the current opportunity.

The question is no longer what competencies to develop. We know that. The question is when we start. And the answer: now.

 

---

Join our upcoming webinar

19th March 2026 – You can register for the webinar HERE!

Join us for an exclusive webinar where we’ll share fresh insights from DEVELOR’s L&D Kaleidoscope 2026 Survey, revealing how organizations across EMEA are responding to the competency revolution. You’ll discover:

• What L&D leaders are prioritizing (and what they’re overlooking)
• Where the biggest implementation gaps exist between strategy and execution
• Practical approaches that are working in real organizations today
• How to accelerate your own competency development initiatives

This is your chance to see the data behind the trends and learn from peers across industries and countries.

SAVE YOUR SPOT!

 

---

If you would like to go deeper into this topic, DEVELOR offers the following solutions:

Assessment & competency measurement

• Assessment Center (AC) – Identify current capability levels and learning agility through validated, future-focused assessment methods.
• Development Center (DC) – Turn assessment insights into personalized development journeys that strengthen future-critical human capabilities.
• 360 Degree Feedback – Gain multi-perspective insight into leadership behaviors to increase self-awareness and define focused development priorities.
• Competency Models & Frameworks – Translate global competency research into organization-specific frameworks tailored to your industry, culture, and strategic goals.

AI & technology skills

• AI Mindset – Develop the mindset, behaviors, and judgment needed to create real value with AI beyond tool usage.
• Task and Time Management – Master a reliable system to cut through the digital noise, reclaim your time, and unlock your creative potential without the stress.

Leadership development

• Leadership Programs – Build essential leadership competencies, including strategic thinking, communication excellence, and the ability to lead through complexity and change.
• Strategic Thinking – Develop systems thinking, complex problem-solving, and future-oriented decision-making capabilities that distinguish effective leaders.
• Agile Leadership – Cultivate adaptability, resilience, and the ability to lead effectively in rapidly changing, uncertain environments.

Psychological safety & learning culture

• Psychological Safety – Create team environments where people feel safe to experiment, take risks, speak up, and learn from mistakes without fear.
• Emotions in Leadership – Lead with emotional intelligence, managing your own emotions and understanding others’ to navigate change and build trust.
• Emotions in Action – Equip leaders with practical tools to manage team emotions, support mental health, and sustain performance under pressure.
• Mental Health at Work – Build organizational cultures that prioritize wellbeing, prevent burnout, and support sustainable high performance.

Collaboration & communication

• Leading Generations – Bridge generational differences and build inclusive cultures where diverse perspectives strengthen team performance and innovation.
• Feedback Culture – Establish continuous learning through development-focused feedback that builds growth mindset and accelerates capability development.
• Team Development – Strengthen collaborative competencies, collective intelligence, and the ability to achieve results through effective teamwork.

Organizational learning & change

• Learning & Development Services – Design custom learning journeys and blended programs that develop capabilities aligned with future organizational needs.
• Onboarding Programs – Accelerate early competency development and cultural integration to build future-ready contributors from day one.

This article is based on the following research and sources:

Global studies:

• World Economic Forum (2025): Future of Jobs Report 2025 – 1000+ employers, 14 million workers, 55 countries
• World Economic Forum (2025): New Economy Skills: Unlocking the Human Advantage
• McKinsey & Company (2024): A New Future of Work: The Race to Deploy AI and Raise Skills in Europe and Beyond
• McKinsey & Company (2021): Defining the Skills Citizens Will Need in the Future World of Work – 56 DELTA competencies
• Deloitte (2024): Global Human Capital Trends Report – 14,000 respondents, 95 countries
• Deloitte (2026): Human Capabilities in the AI Era Study – 1,400 team leaders and members

OECD research:

• OECD (2025): Skills Outlook 2025
• OECD (2025): Education Policy Outlook 2025
• OECD (2024): Empowering the Workforce in the Context of a Skills-First Approach

European frameworks:

• European Commission (2020): LifeComp: The European Framework for Personal, Social and Learning to Learn Key Competence

Specialized research:

• Harvard Project Zero: Intelligence Augmentation: Upskilling Humans to Complement AI
• MIT Sloan (2024): EPOCH Framework – five uniquely human capability categories
• PwC (2024): AI Mindset Workforce Study – 7,000 workers
• Asana Work Innovation Lab (2024): AI Mindsets Report
• Workday (2025): Elevating Human Potential: The AI Skills Revolution – 2,500 workers, 22 countries
• i4cp (2025): Workforce Readiness in the Era of AI
• NFER – National Foundation for Educational Research (2025): Skills Imperative 2035 (UK)