HR Without Personnel as an Object of Management -

A concept of the future of HR in the age of artificial intelligence. A manifesto for the narrative HR function.

Starting Point

The HR function emerged as an administrative function — the front line of labour management. Its unit of work has always been the procedure: hire, onboard, train, assess, develop, retain, separate. For a hundred years the profession refined these procedures and measured itself by their speed and cost. Gradually these processes became a professional system, and then an entire industry.

Screening, planning, document management, answering routine questions, producing learning content, data analysis, preparing recommendations and a significant share of administrative work are now becoming algorithmic, while procedure is becoming the cheapest resource on the market. For the first time in the history of the profession, its operational core is being technologically devalued because it no longer requires a human being.

This means that the historical reason for the existence of a significant part of HR is disappearing. But the question is not whether HR as a whole will survive. The question is: if HR is no longer required to do what it has done for most of its history, what should it do instead?

The answer proposed by this concept is simple in formulation and difficult in execution. The HR function of the future stops treating personnel as an object of management and begins designing the environment. It moves from managing people to working with meaning within an environment in which people and artificial agents understand what is happening, make decisions, and act.

It used to be: human → process → result.
It becomes: narrative environment → human + AI → action → result.

Below are twelve theses describing this transition.

Twelve Theses

01. Procedure Is Automated. Meaning Is Not.

Artificial intelligence eliminates the need for human involvement wherever work consists of a repeatable sequence of operations based on known rules and available data. AI takes over the transactional layer: resume screening, scheduling, document management, answering policy questions, producing learning content, and first-level analytics.

What remains outside these functions has traditionally been treated as an overlay: culture, trust, meaning, and behavioural change. Today that overlay becomes the core — the central substance of the HR function. HR is not shrinking. It is changing the object to which its work is applied. AI does not destroy HR. It destroys the historical boundary within which HR has traditionally defined its value.

02. The Bottleneck of Artificial Intelligence Is Not Technology. It Is Narrative.

The Microsoft Work Trend Index 2026 shows that organisational factors — culture, leadership behaviour, talent practices — are associated with more than twice the share of influence on AI impact compared with individual employee skills (67% versus 32%). Microsoft is effectively saying that the AI challenge is no longer about an individual employee’s ability to use a tool. What matters is the organisational context: the environment, management, talent practices, and the way work itself is designed.

Deloitte’s 2026 report describes the same shift somewhat differently: competitive advantage is becoming less dependent on technological differentiation and increasingly dependent on cultivating the “human space.” In other words, organisations need to deliberately design human–machine interaction while preserving human judgement, accountability, and agency.

AI is no longer being embedded merely into infrastructure. It is being embedded into the story a company tells about itself. If a new technology contradicts that story — if the organisation has no narrative space in which the technology can fit — neither budget, nor licences, nor training will solve the problem. There is an intermediate layer between technology and behaviour. That is why the organisational environment becomes a critical factor in AI effectiveness.

But who owns that environment? This is where HR moves from managing people to designing the environment in which people and machines make decisions and act. And the system of stories itself becomes HR territory — even if HR has not previously treated it as such.

03. People Act Not on the Basis of Information, but on the Basis of the Story They Believe.

This was true even before the age of AI. The difference is that the cost of error used to be lower. Information tells us what happened. Narrative answers what it means and what to do next.

A policy can prescribe an action, but it cannot guarantee that a person will be willing to take it. Narrative determines whether the action will actually happen, because it makes the action meaningful.

The introduction of technology that changes the content of work exposes this gap immediately. Narrative does not replace reality. It determines how reality becomes the basis for action.

04. A Trust Gap Is a Narrative Gap.

A Culture Amp survey (July 2026, 264 HR leaders) reveals a characteristic divide: 77% report embracing AI, while only 24% are willing to allow it to act autonomously even within a limited work environment. Between “I support it” and “I trust it” lies a story that does not yet exist. Until that story exists, the dominant narrative is anxiety.

According to Microsoft, 65% of employees are afraid of falling behind, while only 26% see an aligned leadership position on AI strategy. The decade’s defining transformation currently has no author. The position is vacant. And it is still open.

05. The Value of Human Capabilities Is Changing Radically.

In the traditional labour economy, capabilities that were difficult to reproduce technologically were valued particularly highly. AI changes this principle. Some intellectual operations are becoming virtually free. As a result, human value increasingly depends not only on the complexity of a task, but on the nature of the thinking required to perform it.

The four types of narrative thinking are reproduced by AI at different costs. The least expensive is the Analyst (“How is this structured?”). Then comes the Critic (“What is wrong here?”). More costly is the Strategist (“What is possible here?”). The most difficult and least predictable is the Dramaturge (“What does this mean?”). The labour market will move against this gradient: the closer a person is to the production of meaning, the more valuable their contribution becomes.

Capabilities that were classified as “soft skills” for decades are becoming scarce — not primarily for humanistic reasons, but for economic ones. HR must learn to diagnose, develop, and assess them with the same rigour previously applied to technical skills. AI is already substantially reducing the economic cost of analytical and critical operations and is increasingly capable of strategic modelling.

The most difficult tasks for AI remain those requiring authorship, existential interpretation, and the creation of a meaningful image of the future. The question is not whether “AI can do this.” The question is that the cost of human participation increases as we move from processing information to authoring meaning.

06. Artificial Intelligence Is Structurally Oriented Toward the Past.

AI has a statistical advantage in reconstructing existing linguistic and cultural patterns. Human advantage emerges where it is necessary not to continue the most probable story, but to take responsibility for a story that does not yet exist.

AI reconstructs the narrative of the past with remarkable precision. It is far less capable of producing an authored narrative of the future. It is around the future — one of the three coordinates of a narrative profile — that one of the most persistent boundaries between human and algorithm emerges.

For the HR function, this means that working with the company’s image of the future is no longer a genre of corporate presentations. It becomes a regular organisational function, with an owner, a cycle, and a metric.

07. HR Stops Being a Service Function and Becomes an Authorial Function.

The personnel function served people as a resource through a system of processes. The new HR must work with what emerges between processes: interpretation, identity, meaning, trust, behaviour, the image of the future, and organisational coherence.

A new narrative function emerges — one that designs the environment of meanings within which both people and algorithms act. The difference is not rhetorical. It is positional. A service function executes someone else’s intent. An authorial function holds and rewrites the company’s understanding of itself.

08. The Unit of Work of the New Function Is Narrative, Not Process.

HR’s objects of work change as the object of its efforts changes. They include:

the company’s mega-narrative and its coherence;
the cascading transmission of meaning without loss of content across organisational levels, from shareholders to frontline employees;
the cultural code and narrative identity;
narrative immunity — the organisation’s ability to reconstruct its own story when circumstances change, without waiting for external intervention.

All of this is measurable. According to Gartner (survey of 426 HR executives, 2026), embedding values into employees’ everyday work produces a 34% increase in productivity, while routinising change — turning it into everyday practice rather than a one-time campaign — triples the likelihood that the change will take hold. This is what narrative work looks like when translated into the language of operational metrics.

Narrative does not replace strategy, organisational structure, economics, incentive systems, technology, capabilities, or power and governance. Narrative connects these elements into a humanly perceivable picture of reality and the future.

09. The Operating Model of the HR Function: Four Stages.

Based on current research and practice, ADIN proposes viewing work with organisational narrative as a four-stage cycle.

Inventory. What story actually governs the company? An audit of the real narrative rather than the declared one: recurring plots, automatic roles, a resistance map, “empty chapters” — everything that is not talked about within the organisation.
Interpretation. How is this story produced from within? Language, rituals, omissions, persistent distortions, and recurring explanations. The distinction between the fact and its reading.
Transformation. Changing meaning, not facts. Working with resistance through reframing rather than pressure.
Integration. Narrative becomes practice: rituals, decisions, leadership behaviour, texts, and metrics.

What used to be a development methodology now becomes the annual operating cycle of the HR function.

10. New Roles Within the Function.

Narrative Architect — the owner and steward of the company’s mega-narrative, identity, image of the future, and coherence between these levels.
Human–AI Narrative Curator — the person who defines where the human decides and where the algorithm decides: AI adoption, areas of trust, boundaries of autonomy, human agency.
Narrative Intelligence Officer — diagnostics, Narrative Intelligence, typology, team profiles, pre- and post-assessments, monitoring of cultural erosion.
Behavioural Narrative Engineer — L&D focused not on designing content, but on designing behavioural change: translating meaning into rituals, decisions, and everyday work.

The administrator of procedures disappears from this list because procedures no longer require an administrator. Narrative HR does not manage what people should think. It helps the organisation understand which stories govern its actions — and which alternatives become possible.

11. Metrics Change Along with the Function.

Narrative HR should not create another set of attractive but purely humanistic indicators. Its task is to demonstrate the connection between business and narrative. The relevant metrics are no longer simply time-to-fill or cost-per-hire. They include:

narrative coherence across organisational levels — does the story of the board match the story of the department;
the speed of change adoption;
the share of skills transferred into actual work;
the resistance index;
the team’s Narrative Intelligence profile.

All of these quantities are measurable. And none of them measures what an algorithm does.

12. Authorship Cannot Be Delegated.

Artificial intelligence can generate a story, but it cannot be its author, because authorship means accepting responsibility for meaning — and responsibility requires someone who bears its consequences. A company whose narrative is written by a model receives a text without a subject: smooth, articulate, and belonging to no one. Employees sense this before they can articulate it. And they respond in the only way available to them: with distrust.

Authorship cannot be delegated. AI can write, propose, model, reconstruct, optimise, and generate alternatives. AI can be a co-author of a text. But it cannot be the subject of organisational authorship. Authorship begins where generation ends and responsibility begins. This is precisely where the human being enters.

What Happens If the Function Does Not Do This?

The territory of meaning will not remain empty. It will be occupied by corporate communications, marketing, or the model itself. The company will acquire a narrative without an author, while the HR function will survive as an interface to an AI platform — with a budget and the status of a service function. This is not a hypothesis about the distant future. The gap between 77% adoption and 24% trust already exists. Someone will fill it.

Instead of a Conclusion

A profession that has spent a century managing people now has the opportunity to stop managing people and begin working with the meanings within which people live. Working. HR does not manage meaning. HR creates the conditions in which an organisation can make sense of what is happening and act coherently.

This is not a softening of the HR function. It is an elevation of its role: from executing intent to authoring intent. Freeing human hands in this process is not the goal. It is the condition. And the question is always what those hands are now free to do: what story are we prepared to make our own when machines have learned to do almost everything else?

Sources

Microsoft. 2026 Work Trend Index: Agents, Human Agency, and the Opportunity for Every Organization. — microsoft.com/worklab
Deloitte. 2026 Global Human Capital Trends (survey of more than 9,000 executives across 89 countries). — deloitte.com/insights
Gartner. Top Priorities for HR Leaders in 2026 (survey of 426 HR leaders across 23 industries). — gartner.com
Culture Amp. AI in HR Survey, July 2026 (264 HR leaders across North America, EMEA, and APAC).
Association de l’Intelligence Narrative. Narrative Intelligence Development Program: Inventory — Interpretation — Transformation — Integration.