The Perils of Technological Supremacy: How AI-Driven Human Replacement Ideology Threatens Social Stability and Humanity
- Kayode Aladesuyi
- Mar 11
- 10 min read
AI supervising unemployed humans
Artificial intelligence (AI) is advancing far faster than we ever imagined, at a pace that calls into question age-old beliefs about the nature of work, economics and purpose. Most of them imagine that machines and AI that they can emulate will have a place in the work that human beings do right now sometime soon, leaving big chunks of our population economically irrelevant. Tech billionaires such as Elon Musk declare that a universal basic income will cover the wages and jobs displaced with corporations that have never been so efficient getting the benefits of it. While most businesses have been too prudent in adopting AI and some too cautious on adoption, the economics of efficiency will eventually become the law over common sense.
This publication however argues against the UBI narrative, because there really was a speculative approach to it around its ethics and morality versus the idea of replacing human beings rather than augmenting them. The discussion seriously downplays the catastrophic dangers to economic stability, social cohesion, psychological health, moral government and indeed to humanity. The actual data from IMF, WEF, OECD, as well as the big AI research institutions, is demonstrated in the article to show that mass unemployment would lead to instability in society and the growth of differences and a draining of purpose from humans which destroys capitalism which is considered the base for western economies. And yet, I firmly believe if we want to save civilization, we need to create AI as a partner in human collaboration — not a replacement for it.
Artificial intelligence moved from speculative fiction to global infrastructure. Artificial intelligence systems formerly only applied to limited tasks now perform reasoning more complicated than computers can, program computer code, create human text, translate medical images, merge the AI with a robot, and automate the entire workflow. With expanding AI capabilities, tech leaders are increasingly convinced that AI will supplant human labor throughout industries. Overkill in Super Intelligent AI — There will be a significant hit on every aspect of human life, and productivity will be reduced for a net human negative effect of AI. Leaders like Sam Altman, Elon Musk and Jensen Huang publicly said AI was set to outperform most humans at most jobs. Goldman Sachs reports 300 million full-time jobs internationally that may be automated, but we should be cautious, those numbers are quite conservative.
The IMF cautions that 60% of jobs (over half) are susceptible to automation by AI in advanced economies around the world. According to World Economic Forum (WEF), 44% of workers’ skills will be disrupted by 2027. All the predictions are accurate and, in many cases, fall short in their prediction of what we may expect. For instance, when AI will reach its peak and the effects on humans.
A simple way to grasp the timing and extent with which AI will have an effect on humanity would be to look at the social science that took “the time frame” to disintegrate society social fabric and present people a forewarning of AI technology, and how large its impact on humans will become. Such projections feed a storyline that human labor in general will become obsoleted and that UBI will be necessary to sustain social stability.
The key question is, if the replacement of human labor a needed by-product of AI intelligence or the aspiration of the tech leaders promoting AGI. The vision is one that is too far beyond its time and raises serious questions as to whether the ethics of that vision and its morality are of concern. If AI replaces humans altogether, we can only assume that “the majority” will be able to rely solely on state-provided stipends, and economic power will be concentrated among holders of the technology itself. This paper posits that the latter future is not only unwelcome but dangerous. We create human purpose, identity and social cohesion in meaningful work. Remove people and the productive economy will collapse. While to develop AI without government policies and ethical guiding principle (and the ethical guidelines are lacking as a result, no incentives are ever there to grow creativity in human AI technology augmenting humans.
Robots powered by AI working on a farm
AI and Labor Displacement
Research consistently shows that AI will disproportionately impact routine cognitive and manual work in an increasingly impersonal society. Frey & Osborne (2017) estimate that 47% of jobs in the US represent jobs that are at the highest level of risk of being replaced today. The OECD estimates that 14% of jobs are highly automated with the rest a further 32% at substantial risk.
Economic Inequality and Concentration of Power
Theoretically, economists warn that productivity, with its boost from artificial intelligence, will mostly go to the owners of technology. AI could also “significantly increase inequality,” the IMF points out, without some kind of intervention. UNCTAD warns of a “winner-takes-all” balance in which a small number of companies control the world's markets and a small number of people are wealthier than governments. Societies across the globe are already experiencing the winner-takes-all dynamic in political and economic shifts, as a handful elites now control the narratives on both economics and politics. The consolidation of wealth and power threatens liberty and freedom which will eventually lead to chaos. The country of the UK is becoming a model around the erosion of basic rights like freedom of speech being narrowed off by the presence and influence of elite wealthy groups. The world will enter the era of legislation that is constructed to appease the fears of elites, not push forward the good of democracy.
Psychological and social effects of unemployment Sociological research links unemployment to: greater rates of crime, greater depression and suicide, shorter life expectancy, political radicalism.
Identity crisis and self-worth
The WEF is warning about a “global identity crisis” as workers lose purpose. When workers lose wages and homes they can’t look forward to a better future either, they often feel shattered and unmoored from their sense of self, of purpose (e.g., employment provides status on a social level). While UBI will bring a sense of safety and income assurance the sense of purpose which goes hand in hand with a sense of self-worth will be always there. When people are losing these, it can escalate feelings of anxiety, depression and hopelessness, as individuals try to figure out who they are. There is also a loss of self-worth that will happen due to a lack of purpose, thus contributing to lost confidence and lower motivation which leads to a state of instability.
Social isolation is likely to increase as communities connected to work dissociate. Social media has already encouraged individualization of society and a general sense of social isolation. Jobs, even in remote ones, are the final frontier for connection between people, and swapping them for AI will finally tear humanity apart. And this collective loss of purpose and human connection can translate into mass societal mental health crisis over months to years with a rise in psychological distress, reduced community cohesion and further even social unrest loss all the facets of the people of a place and some concept of belonging. Psychosocial, Social, and Criminological Analysis of Self-Esteem and Identity:
Societal Impact of the Power Concentration
1. The Theory:
The self-esteem and self-concept are closely related to every other aspect of self-worth. Theories of psychological and criminological development suggest that poor self-worth makes people who feel inadequate but lack positive relationships with their peers even more likely to turn to crime. Impulsivity and poor self-control are further established predictors of criminality and have been associated with low self-esteem.
2. Meta-Analytic Evidence:
A systematic meta-analysis conducted by Carrie Mier and Roshni T. Ladny (2018) reviewed 42 studies from 25 years covering 71,130 individuals. Among those, self-esteem (which includes self-worth as a key component) had a small negative effect (in comparison to crime and delinquency, this data was statistically significant). Which is to say that lower self-esteem is slightly more likely of engaging in criminal or delinquent tendencies compared to higher self-esteem. The same for the people with higher self-esteem who are slightly less likely to commit more crime and less so. The relationship is small but robust across national and international samples.
Nuance: The effect of the relationship is stronger for some types of crimes, particularly violent and interpersonal crime which are not property crimes, rather than property crime.
3. Empirical Studies Prisoner Populations:
A 2025 survey by Morley, Nguyen, and Trujillo examined self-esteem, self-control and self-compassion among 94 prisoners in a U.S. County jail. The results showed: Low self-control was negatively correlated with self-esteem and self-compassion. Self-compassion and self-esteem were positively associated. Self-compassion mediated the association between self-esteem and low self-control. These results indicate that interventions designed to bolster self-esteem and self-compassion may be effective in reducing impulsivity (and thus, criminal behavior). A global society plagued by a strong prevalence of low self-worth is a major danger to a well-ordered world. Juvenile Offenders The research on juvenile female offenders in China found that maltreatment of children during youth (including emotional and physical abuse and neglect) was significantly associated with lower self-esteem and higher shame. Low self-esteem and shame were two predictors of criminal behavior, with shame mediating the effect of maltreatment on self-esteem.
4. Mechanisms Linking Self-Worth and Crime Social Bonds:
Low Self-Worth leads to loss of strong relations with others and consequently it has been shown to lead to criminal activity. Impulsivity and Self-Control: Poor self-control, the primary predictor of delinquency (and, by extension, delinquency) correlates with low self-worth. Emotional Regulation: With emotions, shame and low self-esteem can lead to maladaptive coping strategies such as aggression and risk-taking.
5. Limitations and Nuance The association is small:
Lack of self-esteem is just one of the myriad causes for criminal behavior. For violent and interpersonal crimes, the relationship is stronger than for property crimes. They also consider childhood trauma, peer influences, and social environment at work.
Conceptual Framework Human-AI Partnership vs. Human Replacement
This paper presents a conceptual framework comparing two developmental paths:
1. Replacement Model
AI does all the productive labor. Humans receive UBI. AI owners are the biggest beneficiaries, wealth concentration. Human purpose declines. Social instability increases.
2. AI-Human Partnership Model AI augments human labor. Humans retain agency and purpose. Productivity gains are shared. Ethical scrutiny is fundamentally human-centric. Global Employment Displacement Forecasts Table 1: Global Job Displacement Forecasts Source Projected Jobs Impacted Year Goldman Sachs 300 million 2023 WEF 83 million lost, 69 million created 2027 IMF 60% of jobs exposed 2024 OECD 46% at risk 2023
Figure 1 AI Exposure by Sector (2024)
Tech & Finance ████████████████████ 85%
Legal & Accounting ███████████████ 72%
Manufacturing ████████████ 55%
Healthcare ████████ 40%
Education ██████ 30%
Construction ████ 18%
Hospitality ███ 12%
Purposeless life in an AI first society
However, we need to stress that these projections or predictions are either out of date or may not have considered some of the more recent changes in AI applications, even in the Gig economy.
Chart: Suicide Rates vs. Unemployment (OECD Data)
Unemployment ↑ → Suicide Rate ↑
0–3% unemployment → baseline
4–6% unemployment → +12% suicides
7–9% unemployment → +24% suicides
10%+ unemployment → +38% suicides
Ethical Considerations
AI lacks:
moral reasoning,
contextual judgment,
understanding of empathy, (can be trained on empathy does it understand empathy)
accountability.
A human asked to burn a building would consider:
Are there people inside?
Will the fire spread?
Is this morally justified?
AI system, unless explicitly constrained, will simply execute the task.
Hence why AI must remain subordinate to human judgment and under ethical guidelines. Unless viewed as an existential treat to humanity, and governments take active steps towards ethical policies for AI development, the geniuses pushing AI development towards AGI will do so to the detriment of humanity.
Create Strong Ethical Guideline that prioritizes Human over AI
Policy Recommendations
Mandate Human Oversight for all high-risk AI systems.
Tax AI Productivity Gains to fund social programs.
Ban Fully Autonomous Decision-Making in critical sectors.
Require AI Impact Assessments before deployment.
Promote Human-AI Collaboration through education and workforce programs.
Reject UBI as a policy.
1 Mandate Human Oversight for All High-Risk AI Systems
Ethical oversight begins with the principle that humans must remain in control of AI, especially in high-risk applications. This means establishing regulatory bodies or review panels that continuously monitor AI systems for unintended consequences, bias, and safety risks. Human oversight ensures that decisions made by AI—particularly those affecting health, justice, finance, or public safety—are subject to human judgment and intervention. This approach is echoed in recent policy discussions, such as Nigeria’s creation of an AI review body, which highlights the need for balanced, context-aware governance to prevent existential threats and ensure AI supports, rather than undermines, human welfare.
2. Tax AI Productivity Gains to Fund Social Programs
As AI increases productivity and automates tasks, it will lead to significant economic shifts, including job displacement. Ethical oversight should include mechanisms to redistribute the wealth generated by AI. Taxing AI-driven productivity gains and channeling those funds into social programs—such as retraining, education, or an income assistance program not to replace wages but help maintain a basic income level and such payments should be determined by level of job displacement or job limitation directly related to AI — this can help mitigate inequality and support those affected by automation. This approach addresses the moral responsibility of ensuring that technological progress benefits society, not just a select few.
3. Ban Fully Autonomous Decision-Making in Critical Sectors
Critical sectors—such as healthcare, criminal justice, and national security—should prohibit fully autonomous AI decision-making. Ethical oversight requires that humans retain the final say in decisions with significant moral, legal, or life-altering consequences. This ban helps prevent errors, biases, or malicious actions from going unchecked and ensures accountability. The literature warns that unchecked AI in these areas could destabilize societies and erode trust in institutions. An example would be banning employers from using AI as a final decision maker in hiring decisions. AI -Peer review program should be implemented by organizations.
4. Require AI Impact Assessments Before Deployment
Before deploying AI systems, organizations should conduct thorough impact assessments to evaluate potential risks, biases, and societal effects. These assessments should be transparent, involve diverse stakeholders, and be updated as systems evolve. This process is analogous to environmental impact assessments and is essential for anticipating unintended consequences, ensuring compliance with ethical standards, and building public trust.
5. Promote Human-AI Collaboration Through Education and Workforce Programs
Ethical oversight is not just about restrictions—it is also about empowerment. Promoting human-AI collaboration means investing in education and workforce development to help people adapt to new roles alongside AI. This includes upskilling, reskilling, and fostering a culture where AI augments human abilities rather than replaces them. Such programs can reduce resistance to AI adoption, enhance productivity, and ensure that technological progress is inclusive and equitable.
6. Reject UBI in the present form promoted by tech leaders
The concept of UBI does not take into consideration the effect of the global south which has a high rate of illiteracy, low income, poverty, and high unemployment rate. A region of the world where human procreation will help sustain humanity but unfortunately the government lacks adequate resources to create UBI programs. The complexity of the effect of UBI on one region of the world to another if AI is allowed to replace humans remain highly unpredictable. Migration will become catastrophic and at a level never seen before.
Conclusion
If AI replaces humans entirely, society risks economic collapse, psychological decay, and ethical catastrophe. The future must be built on partnership—not replacement. AI should empower humanity, not render it obsolete.
References
Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age. W. W. Norton.Frey, C. B., & Osborne, M. A. (2017). The future of employment. Technological Forecasting and Social Change, 114, 254–280.IMF. (2024). AI and the Future of Work.OECD. (2023). Employment Outlook.UNCTAD. (2023). Technology and Innovation Report.WEF. (2023). Future of Jobs Report.
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