by Mick Lavin, Coach, Agile Coach, Mentor
There’s an unexpected twist in the AI story that gives me hope. As Large Language Models and AI become better at technical, analytical, and even creative tasks, the skills that are rising fastest in commercial value are the ones that can’t be automated at all.
I’m talking about the ability to build genuine trust. To lead through uncertainty. To navigate a difficult conversation with empathy and cultural intelligence. To think critically about a persuasive AI output and recognise when it’s wrong. As a Coach, I work with people to find that authenticity, dig below the surface, and identify the cognitive bias and shortcuts we all take. In the world of AI these shortcuts can cause brand and reputational damage. This is where “Human Super Skills” become critical.
For Legal & Human Resources professionals, this should be both reassuring and clarifying. It confirms that the human dimension of your work, the part that’s hardest to describe in a competency framework but easiest to recognise in action, matters more now than ever. And it comes with a challenge: many organisations are investing in the wrong skills.
This article explores what researchers are calling “Human Super Skills,” why they’re increasingly prised, and, critically, how to actually develop them in your workforce.
What Are “Human Super Skills”?
The World Economic Forum’s research states that 39% of key job skills will change by 2030, but it also identifies which human capabilities are increasing of value. These specific capabilities remain beyond the reach of AI replication, growing in importance as automated systems become more prevalent.
They fall into four broad categories:
- Cognitive Agility and Critical Thinking
As AI handles more routine analytical work, the ability to evaluate AI output becomes paramount. This means identifying subtle hallucinations, logical inconsistencies, and contextual errors in generatively created content. Rather than accepting automated results without question, this involves exercising the mental rigor necessary to challenge and scrutinize machine-generated findings.
For professionals, this skill is increasingly central to the job. Whether you’re reviewing an AI-drafted performance improvement plan or assessing a data-driven workforce recommendation, the capacity to think critically, to ask “does this actually make sense?”, is non-negotiable.
- Emotional Intelligence and Interpersonal Leadership
This is the ultimate human moat. Building psychological safety in teams, managing resistance to change, fostering genuine trust-based connections with stakeholders, these capabilities cannot be replicated by any algorithm, however sophisticated.
Leading talent management organisations today treat emotional intelligence as a vital strategic asset rather than an optional soft skill. Research indicates that establishing genuine trust represents the single most important competency for contemporary leaders.
- Attitudinal Skills: Learning, Adaptability, Resilience
In an environment of continuous disruption, the ability to keep learning, genuinely, not just nominally, is a competitive advantage. Curiosity, adaptability, and resilience in the face of ongoing change are skills that can be developed, but they require intentional investment.
The problem for many organisations is that they have completed many transformation exercises, so the AI transformation is one on top of all that has gone before. Disengagement may be an organisational norm, and resilience may be in short supply.
However, those that retain the ability to learn, who remain adaptable and resilient will have the ability to navigate the AI transformation. Employees who approach new tools with genuine curiosity and adaptive mindsets will extract far more value from them than those who resist or remain disengaged.
- Leadership and Social Influence
As work becomes more complex and AI-augmented, the ability to guide teams through transformation, communicating a clear vision, building alignment across diverse groups, and inspiring action under uncertainty, becomes a defining leadership skill.
With the complexity of our teams, in terms of culture, inclusion, and diversity, we operate in a VUCA or BANI world. While AI can help us make sense of the data and processes around us, it cannot navigate the relationships and natural tension & conflict in our teams. Our ability to feel with our gut and our intuition separate us from the algorithms that interpret our data.
Leadership will remain a human super skill.
The Gap Between What Employers Say and What They Fund
Here’s the uncomfortable reality. While 93% of corporate leaders agree that human skills are more important than ever, the actual allocation of training budgets says something different.
The dominant focus of corporate upskilling programmes remains technical: AI literacy, machine learning concepts, data analysis tools. Human relational skills, empathy, intercultural leadership, trust-building, receive a fraction of the investment.
This creates a dangerous misalignment. Organisations end up with workforces that are increasingly technically capable but psychologically fragile. The relentless introduction of new AI tools without parallel investment in resilience, communication, and relational skills is driving cognitive fatigue and increasing burnout.
There is also a human cost in terms of trust in the organisation, where employees worry they may be replaced when a new tool replaces their skillset.
The research is clear: “Without parallel investment in human capital, the deployment of artificial intelligence serves merely to amplify the existing communication flaws and cultural deficits of an organisation.”
The Talent Velocity Leaders’ Approach
The organisations consistently outperforming their peers, classified as “Talent Velocity Leaders” in LinkedIn’s 2026 research, are doing something different. They align their investment with their stated priorities.
Compared to their slower-moving competitors, these leading firms are:
- 5.5 times more likely to invest heavily in trust-building capabilities
- 4.3 times more likely to invest in influencing and persuasion skills
- 3.5 times more likely to prioritise intercultural leadership development
Far from being an act of altruism, this approach represents a calculated strategic move.These organisations recognise that authentic human connection, the ability to navigate relationships with skill and sensitivity, is the competitive moat that technology cannot erode.
Practical Implications for HR Professionals
Rethink your L&D investment split. If your training budget is heavily weighted toward technical AI skills and lightly invested in relational and attitudinal development, recalibrate. Both are essential. Neither alone is sufficient.
Update your competency frameworks. Rather than relying on vague, aspirational terminology, organisations should integrate cognitive adaptability, intercultural leadership, and the critical assessment of AI outputs into performance frameworks and role profiles as concrete, measurable behaviours.
Redesign your graduate and leadership programmes. Build deliberate development experiences that stretch people’s capacity for empathy, resilience, and complex interpersonal navigation. In the current landscape, the importance of mentoring, stretch assignments, and cross-cultural exposure has intensified rather than diminished. So many of us work in diverse companies, that it makes sense to help each other be successful.
Build psychological safety as an organisational capability. Employees facing constant technological change need to feel safe asking questions, making mistakes, and flagging concerns. This is a leadership behaviour, a cultural investment, and an HR responsibility simultaneously.
As I talk with leaders, it becomes apparent that there are pressures to implement the perceived benefits of AI while also saving on costs. This has led to a decrease in the number of graduate and entry level jobs in the market. In May, IrishJobs published new data highlighting the latest hiring trends, reporting that almost half of employers have scaled back their entry-level and graduate hiring.
The question this raises is whether we will have future leaders in our organisations, and if not, should we not consider this now rather than when it becomes a crisis?
A Note for Legal & HR Professionals
The premium on human relational skills has direct relevance to employment law practice. As AI tools become more prevalent in legal settings, from contract review to case research support, the distinctly human capabilities of client relationship management, ethical judgment, courtroom presence, and nuanced negotiation become your primary differentiators.
Moreover, as AI-related workplace issues, disputes over automated decision-making, questions of liability, data privacy concerns, become more common, the ability to navigate complex, emotionally charged employment situations with clarity and empathy will be increasingly in demand.
The most valuable thing about you, and about your people, is precisely what AI cannot replicate. The capacity for critical thinking, authentic connection, empathetic leadership, and perpetual adaptation is far more than just a human alternative to automation. In the AI-driven economy, these qualities represent the premier competitive advantage for any organization.
The organisations that understand this, and invest accordingly, will build the human foundations that make all their technology investments worthwhile.
Previous in the series: Article 2, Job Displacement & Job Transformation: What’s Actually Happening to the Workforce?
Next in the series: Article 4, Why Most AI Adoption Fails (and What the Successful 5% Do Differently)
About the author
Mick Lavin is a Systemic and Intercultural Coach, Agile Coach and Mentor, accredited by the European Mentoring and Coaching council. For the past 30+ years, Mick has worked in the world of technology as a people, project, and strategic account manager in several European countries, with the US, in the Middle East, and in Asia. Mick specialise’s in people & leadership development and business agility in multicultural business environments, helping organisations move to a more responsive and people centric mindset.
