Introduction
The AI revolution and the prospect of AGI necessitate a redefinition of human agency. As executive intelligence becomes a cheap commodity, humans must shift their center of gravity from cognitive efficiency to evaluative functions.
Readers will discover how to navigate the identity crisis inherent in this transformation phase and why the future belongs to the economy of judgment. This article analyzes the construction of an adaptive state and a project for a new humanism based on the responsibility for meaning.
Transformation is Primarily an Identity Crisis
Implementing change is difficult because it strikes at the very foundations of who we are. Employees do not merely fear new tools; they fear the loss of professional prestige and status.
The core issue is the phase of liminality—a state of suspension between the old and new orders. In this space, existing competencies lose their value, while new ones have not yet acquired authority.
A prime example is the expert whose years of learning procedures are replaced by AI in seconds. Transformation then becomes a painful question regarding the purpose of previous investments in oneself.
The Liminality Trap and the Fear of Status Loss During Change
This anxiety stems from the fact that modern transformation often lacks a clear endpoint. People get stuck in the so-called Messy Middle, where old strategies fail, but new ones have yet to yield results.
This leads to conflicts that appear on the surface to be technical disputes, but are in reality battles over the future distribution of influence and budgets.
Psychological safety is critical here. Without stable points of reference, individuals avoid cognitive risk and instead regress into old habits.
Adaptation as a Selection of Heritage, Not Permanent Disorientation
Many changes stall in the pilot phase, creating 'islands of innovation' disconnected from the organization's core. To avoid this, a full reintegration of new practices into the company structure is necessary.
Managing anxiety requires demonstrating a continuity of values. Adaptation should not be an escape with empty hands, but rather a selection of heritage—a decision about what from the former 'us' remains important.
The true human advantage in an AI-driven world lies in phronesis (practical wisdom). The machine provides answers, but it is the human who maintains normative control and determines the objective.
Conclusion
As machines become more powerful, we can no longer justify our value through intelligence alone. Our role is shifting from generating answers toward taking responsibility for their meaning.
The true division of labor in the human-AGI-institution triangle will occur between a system that discovers what is possible and humans who decide what is worth realizing.
Ultimately, we will survive not through efficiency, but through wisdom and ethical judgment—qualities that cannot be algorithmically optimized.
Frequently Asked Questions
Why is the process of implementing organizational change so emotionally and identity-challenging for employees?
This process is difficult because employees enter a phase of liminality—a space between the old and new order, where previous identities and statuses are no longer sufficient, and new ones have not yet formed. Transformation triggers an identity crisis, as changing competencies often requires redefining the answer to who the employee is within the system and what meaning their previous investment in themselves had.
1. Why do organizational transformations evoke such strong fear and lead to conflicts, even when they are rationally justified?
2. Fear stems from a sense of suspension and the loss of landmarks, as transformations often offer no certainty regarding the duration of changes or the employee's future role. Conflicts arise because disputes over strategy become, in reality, a struggle for status, budgets, and influence within the new system, exposing existential fears concerning the utility of current competencies.
3. Why do many transformation processes in organizations get stuck in the pilot phase, and how can change be implemented without destroying employees' sense of identity?
4. Transformation processes stall in the pilot phase due to a lack of reintegration of new practices into the organizational structure, leading to a chronic state of transition and the isolation of innovations from the company's core. To implement change without destroying employee identity, one should apply heritage selection and communicate continuity, indicating which values and competencies from the previous system remain valid.
5. How does organizational change affect human identity, and how should fear associated with the loss of a current role be managed?
6. Organizational change leads to an identity reconstruction in which a person does not lose their past but changes the relationship between former experience and new actions. To manage fear in this process, a leader should create a stable structure that prevents chaos and provide conditions for re-rooting through clear criteria for new standards and the definition of new sources of status.
7. What is the difference between the adaptability of a state and the adaptability of a company, and what should remain unchanged in the public system?
8. Unlike a company, the state is not an enterprise focused on the speed of change, but an institution protecting the continuity of the community and the Common Good. The rule of law, constitutional values, and the principles of protecting freedom, justice, and the dignity of citizens should remain unchanged.
9. Why does the modern state, despite possessing resources and experts, fail to keep pace in responding to new social and technological phenomena?
10. The state falls into a competency trap, where rigid administrative categories and departmental divisions cause the fragmentation of new phenomena that do not fit existing classifications. There is a lack of mechanisms translating future analyses into real decisions, meaning the local rationality of offices does not guarantee a coherent systemic response.
How can the state regulate the dynamic development of AI without blocking innovation while simultaneously protecting its citizens?
The state can employ adaptive regulation, utilizing tools such as regulatory sandboxes, which create a controlled space for joint learning between technology developers and regulators before solutions are fully scaled. Instead of frequent legal changes, this process should be based on periodic reviews, impact evaluations, pilots, and operating within constitutional boundaries to protect human dignity.
How can the state effectively monitor the effects of its actions, and how can it distinguish mere system efficiency from actual common good?
The state can effectively monitor the effects of its actions through a distributed perception apparatus, utilizing signals from civil society such as petitions, public consultations, or organizational reports. To distinguish system efficiency from the common good, one must remember that an increase in efficiency (e.g., speed of decision-making) does not always signify social progress if it comes at the expense of citizens' rights or leads to their exclusion.
What is the difference between an adaptive state and an opportunistic state, and why are democratic mechanisms crucial for a system's ability to learn?
An opportunistic state reacts to the pressure of the strongest stimulus, whereas an adaptive state bases changes on a constitutional hierarchy of values and the capacity for learning. Democratic mechanisms are crucial because they institutionalize dissent and criticism (e.g., through free media and independent courts), which allows for the detection of errors and the correction of system decisions.
Where does the human advantage lie in a world where AI is taking over cognitive and analytical functions?
The human advantage lies in the realm of axiology, wisdom, and intuition, as well as in the ability to decide what should be done and whom to trust. In the coming Era of Presence, key factors become the ability to maintain internal stability in the face of uncertainty and the willingness to unlearn old models and venture into the unknown.
Will AI completely replace human intellectual work, or will it merely change the nature of our competencies?
AI is unlikely to completely replace human intellectual work, but it will change the structure of tasks and the nature of competencies. There is a shift from an economy of answers toward an economy of judgment, where practical wisdom and the ability to evaluate values and goals—which a machine cannot resolve on its own—become increasingly important.
What should human dignity and the role of humans be based on in a world where AI surpasses them in cognitive tasks?
Human dignity should not be based on performance superiority or intelligence understood as information processing efficiency. The foundation of the new human role in an AI world can become responsibility for the consequences of actions and the ability to initiate new things within the shared space.
Is the mere ability for rapid technological adaptation sufficient and safe for society?
No, the mere ability for rapid technological adaptation is insufficient and can be dangerous because it possesses no moral value and can serve the pursuit of flawed goals. To be safe for society, it must be supplemented by responsibility and the definition of a proper direction of adaptation that takes into account human well-being and citizen agency.
What constitutes the real adaptive advantage of humans in a world dominated by AI and AGI?
The adaptive advantage of humans lies in maintaining responsibility for integrating the outputs of AI actions into the world of human meaning and exercising normative control over technology. This is not a race against machine speed, but rather the ability to quickly correct systems that cease to serve humanity.
What is the difference between uncritical flexibility and conscious human adaptation in an AI world?
Uncritical flexibility is fluidity, opportunism, and submission to stimuli resulting from a lack of memory, ethics, and boundaries. Conscious adaptation consists of adjusting methods to reality while simultaneously maintaining dignity, responsibility, and the capacity for dissent.
How will AGI affect the structure of professions and the process of gaining professional experience?
AGI will change the structure of professions through the continuous decoupling and recombining of individual tasks, which may completely alter the internal anatomy of professions without eliminating the job titles themselves. In the process of gaining experience, the risk of a 'competency ladder paradox' will emerge, where the automation of simple junior tasks may destroy the natural mechanism for training future experts, although AI may simultaneously accelerate skill development as a private tutor.
Why does simply adding a human to an AI decision-making process not guarantee better results, and where should the real boundary of labor division between humans and AGI lie?
Simply adding a human to the process does not guarantee success because they may worsen the decision due to a lack of knowledge on when to trust the system or by succumbing to cognitive anchoring created by the AI. The real boundary of labor division should lie between the operational agency of AGI (task execution and modeling) and the evaluative and constitutional agency of humans (goal setting, oversight, accountability, and legitimization).
What impact does the use of AI have on the diversity of research topics in science?
The use of AI increases the individual efficiency of scientists, but simultaneously limits the diversity of research topics and weakens mutual engagement in science. An analysis of publications showed a narrowing of the topic space by 4.63% and a decrease in engagement by 22%.
What is the greatest cognitive risk associated with AGI, and where should the boundary between machine action and human decision lie?
The greatest cognitive risk of AGI is epistemic monoculture—the loss of the ability for unconventional exploration in favor of optimized models. The boundary between machine action and human decision should not be based on competence, but on autonomy, where AGI searches the space of possibilities while humans establish the space of meaning and make final value-based decisions.
What will be the role of humans and the social structure in a world after the arrival of AGI?
The human role will shift from executor and producer toward curator of possibilities, creator of goals, and owner of obligations and responsibilities. The social structure may be based on a human-AGI-institution triangle, in which machines are responsible for discovering what is possible, and humans collectively decide what should be realized.
