The Labels Multiplied but the Capability Disappeared.

A few days before the semester begins, Lucas opens three documents on the same morning.

His programme page promises transferable skills. A graduate vacancy asks for the right balance of hard and soft skills. A future-of-work report highlights human skills and future skills.

Critical thinking appears in all three.

Professor Malik, who leads Lucas’s programme, describes it as transferable because students are expected to use it beyond university. Elena, the talent lead who wrote the vacancy, places it among soft skills because the role does not treat it as technical expertise. The report frames it as future-facing because employers expect it to remain important as work changes. Another discussion could call it human because its value becomes more visible beside artificial intelligence, while a careers guide may place it among employability skills because it contributes to effective participation in professional life.

The underlying capability has barely changed. The adjective has.

Each descriptor adds information about reach, context, perceived technicality, strategic relevance or purpose. None of those descriptors identifies the capability’s basic nature.

Confusion begins when they are used as though they were mutually exclusive families and then allowed to govern curriculum design, assessment or evidence.

The labels answer different questions

The familiar labels emerged because different conversations needed different forms of emphasis.

Hard and soft skills usually express a contrast in perceived technicality. Transferable skills draw attention to whether a capability can be used across roles or settings. Future skills identify capabilities expected to remain or become important as work evolves. Human skills foreground forms of contribution that appear especially significant in relation to technology, while employability skills gather capabilities associated with entering work, performing effectively and continuing to progress.

These concerns operate on different axes.

A capability can be technical and transferable at the same time. It may contribute to employability today while also appearing in a future-skills forecast. Human judgement can remain central even when the performance itself is technologically mediated. The labels overlap because they describe different properties or uses rather than competing forms of human capability.

The International Labour Organization acknowledges this terminological overlap directly. Its global framework on core skills lists soft skills, life skills, transferable skills, employability skills and portable competences among the alternative expressions circulating across the field (International Labour Organization, 2021). The National Research Council similarly notes that capabilities such as problem solving, critical thinking and collaboration appear under labels including 21st-century skills, soft skills and deeper learning (National Research Council, 2012).

The existence of multiple labels therefore reflects multiple conversations around capability. It does not establish a stable architecture in which each term defines a distinct category.

Professor Malik and Elena can use different labels while referring to substantially related performance. Operational problems appear once the programme starts designing around the labels themselves.

“Soft” became a warehouse

The hard-soft distinction creates the most visible classification problem because the soft category is often defined through exclusion.

Technical expertise enters the hard side, leaving a large and heterogeneous remainder to be grouped as soft.

That remainder can include communication, teamwork, leadership, creativity, critical thinking, emotional regulation, adaptability, perseverance, sociability, motivation, preferences, attitudes and personality-related qualities. Different research traditions draw the boundary differently. Heckman and Kautz (2012), for example, discuss soft skills through personal qualities and traits that are weakly captured by conventional achievement measures. OECD work on social and emotional skills includes constructs such as perseverance, sociability and emotional regulation (OECD, 2015). In education and management, the same soft-skills label is frequently used for observable performances such as presenting, negotiating or coordinating a team.

Matteson, Anderson and Boyden (2016) found that the phrase lacked stable definition, scope and instrumentation, operating as a catch-all for skills, knowledge, attitudes and values. Marin-Zapata et al. (2022) reached a similar conclusion in business research, where soft skills and competencies were defined inconsistently and sometimes used interchangeably. The label can therefore group together capabilities that differ substantially in how they develop, how they become observable and what evidence would justify a claim about them.

Hard skills appear more concrete because examples such as coding, financial modelling, laboratory procedures or machine operation describe recognisable technical activity. The apparent precision can still hide complexity. Technical performance may draw on domain knowledge, analytical judgement, attention, communication and emotional regulation. The task may be technically specialised while depending on capabilities that the same vocabulary places in the soft category.

Lucas encounters this interaction during a design project. He uses engineering knowledge, data analysis and simulation software while also negotiating trade-offs, explaining risk and revising the design after critical feedback. The performance combines several forms of capability because real work rarely respects the conceptual border created by the hard-soft divide.

The reverse distortion also matters. Presenting information to an audience is often classified as soft even though it is an observable performance that can be practised, assessed and improved against demanding standards. Negotiating an agreement, coordinating people, facilitating a meeting and writing a professional report are General Practical Skills within the Unified Skills Map. Their practical character is determined by the action being performed, including actions carried out through interaction with other people.

The hard-soft vocabulary therefore provides a rough social shorthand while doing little to reveal the structure required for development and assessment.

Once the category becomes the architecture, capabilities with very different educational needs are pushed into the same box.

Transferable describes intended reach

Transferable skills raise a different question because the descriptor concerns whether a capability can remain useful across roles or settings. It says little about whether the underlying capability is a Practical Skill, a Knowledge Domain or a Generative Skill.

Within the Unified Skills Map, many General Practical Skills have broad cross-context reach. Presenting information, organising tasks, coordinating work, facilitating discussion and giving feedback can be useful in numerous professional environments. Their applicability across contexts is important, although that reach does not turn “transferable” into a separate family of capability.

Lucas’s experience shows why the distinction matters. He may present confidently to classmates after several days of preparation. Elena may later need a graduate who can brief senior decision-makers when the evidence is incomplete, the recommendation is commercially consequential and the audience challenges the assumptions in real time. The earlier capability remains relevant, but the new context changes the performance demand.

Billing’s review of transfer in Higher Education showed that generic or core skills can travel across contexts under particular conditions, including how they were learned, the depth of understanding developed and the learner’s ability to recognise the underlying demand in a new situation (Billing, 2007). The National Research Council (2012) similarly connects transfer with deeper learning rather than treating it as an automatic property of the original educational experience.

“Transferable” therefore works best as a claim about intended or demonstrated reach. An institution that has observed Lucas perform well in one familiar setting has evidence about that performance. A broader claim about transfer requires evidence that he can recognise the relevant demand, adapt the capability and perform effectively under materially different conditions. The adjective can describe reach, but the assessment still has to establish how far that reach actually extends.

Future, human and employability describe relevance from different viewpoints

Future-skills language is primarily concerned with anticipated importance.

The World Economic Forum’s Future of Jobs Report 2025 places technological capabilities such as AI and big data alongside analytical thinking, creative thinking, resilience, flexibility, leadership, curiosity and lifelong learning (World Economic Forum, 2025). The list combines capabilities with very different structures because the organising question concerns changing relevance in the world of work.

Human-skills language grows from another context. It draws attention to forms of contribution associated with human judgement, creativity, empathy, communication and collaboration at a time when technology can perform an expanding range of tasks. This emphasis may be strategically useful, particularly in discussions about artificial intelligence, but the boundary between human and technological contribution continues to move as tools change and work is redistributed.

Critical thinking illustrates the distinction. Within the Unified Skills Map, it is understood through Analytical Capacity, a Generative Skill. The fact that public discussion may also call it human, transferable, future-relevant or employability-related explains why different actors value it; those descriptors do not alter its primary classification within the capability architecture.

Technological capability works similarly. Using AI tools effectively belongs within Technological Practical Skills because the claim concerns a person’s ability to use a technological tool in practice. The capability may simultaneously be future-relevant and important for employability. Those additional descriptors contribute strategic context without replacing the primary classification.

Employability skills bring yet another organising purpose. The term gathers capabilities considered useful for entering work, performing effectively and continuing to progress professionally. Yorke’s account of employability demonstrates the breadth of this territory, which includes understandings, skilful practices, personal qualities, beliefs and reflection while remaining influenced by labour-market conditions and opportunity (Yorke, 2006). The label therefore speaks to the system these capabilities serve rather than identifying one homogeneous type of capability.

Lucas may hear the same General Practical Skill described as transferable, employability-related and future-relevant. His Analytical Capacity may be described as human, transferable and strategically important for future work. Those descriptions can all carry useful information because they answer different questions about the same capability. Difficulty arises when one adjective is asked to settle the classification and determine the educational response.

When the modifier begins driving the intervention

Terminological noise becomes operational once the label starts shaping what should be grouped, taught or assessed.

Professor Malik may create a soft-skills programme containing empathy, analytical thinking, conflict resolution and emotional regulation because the category is familiar and institutionally legible. The programme appears coherent at headline level while bringing together capabilities that develop through different mechanisms and require different forms of evidence.

Assessment can inherit the same problem. A programme may claim to measure transferable skills after observing a student in one setting, even though the assessment has demonstrated performance only under those original conditions. A human-skills badge may combine judgement, behavioural tendencies, emotional capacity and communication without revealing which performances were observed. A future-skills assessment may group technological proficiency, analytical reasoning and adaptability under one instrument because the report that inspired it placed them on the same list.

Students and employers receive the consequences downstream. Lucas can write “future skills” on a profile, but Elena still needs to know what he can actually do, understand or continue developing. Elena can request “human skills” in a job description, but the phrase gives Professor Malik little guidance about which capability should be developed, which context matters or what level of performance the role demands.

The shared language remains recognisable while its operational meaning becomes progressively thinner.

A broad modifier can help frame a conversation, but curriculum, assessment and signalling require a structure that distinguishes the human capabilities beneath the shorthand.

The Unified Skills Map starts with the capability itself

HELFFE retains the familiar descriptors because they perform useful communication functions. A university may want to emphasise transfer beyond the classroom. A labour-market report may identify capabilities whose strategic importance is increasing. Discussions about artificial intelligence may need language that foregrounds human contribution, and careers services may connect capability directly to employability.

The Unified Skills Map places those descriptors after the primary classification. The first analytical task is to determine whether the capability belongs within Practical Skills, Knowledge Domains or Generative Skills. Practical Skills describe what a person can do in concrete situations. Knowledge Domains capture structured knowledge used to understand and interpret situations. Generative Skills concern the foundational analytical, creative and emotional capacities that power learning, development and adaptation.

Additional descriptors can then explain other features without carrying the full classificatory burden. A Practical Skill may be general or specific, technologically mediated, applicable across contexts, increasingly relevant for future work and important for employability. A Generative Skill may also be widely transferable and strategically significant while retaining its primary nature as a foundational capacity rather than an observable task.

Critical thinking can therefore be classified through Analytical Capacity within Generative Skills. Descriptions such as human, transferable, future-relevant or employability-related can subsequently explain why it matters in a particular discussion.

Presenting information to an audience is classified as a General Practical Skill and may also be transferable, valuable for employability and important in technology-rich professional environments.

The ordering improves educational decisions because Professor Malik can first identify what kind of capability he is trying to develop. That classification informs the learning mechanism and the evidence required. Elena can then use secondary descriptors to communicate reach, strategic value or context without losing sight of the underlying capability. Lucas receives a clearer account of what he is developing and can understand why the same capability appears under several public labels without assuming those labels represent different things.

No classification system can remove contextual variation. Roles will continue to demand different levels of performance, sectors will value different combinations, technologies will alter the division of work and forecasts will change as economic conditions evolve.

A stable primary structure makes that variation easier to interpret because the adjectives no longer have to carry the architecture by themselves.

The practical discipline is therefore to identify the capability before organising around the modifier. Once its primary nature is clear, descriptors such as transferable, human, future-relevant or employability-related can add useful information about reach and relevance. Curriculum design, assessment and signalling can then respond to the capability that actually exists beneath the label.