AI has established itself as one of the most disruptive phenomena in recent history. Its ability to transform industries, redefine jobs and alter social ties is accompanied by a new concept: theens. It is the collective sensation of uncertainty and fear of a future where the border between the human and the artificial becomes increasingly diffuse.
The term reflects the convergence of multiple concerns. In banker meetings in London, in university classrooms or in everyday conversations, the same questions are repeated: how will algorithms affect human cognitive abilities? What links will replace? What resources will you consume? What work will you eliminate? What realities will they confuse? And what global decisions will they control?
The scene is illustrative. I was invited by Pendle to the Soho House of Greek Street, in the heart of London, where the firm brought together some of the main actors of the British financial system. Around the table were bankers, CFOS and global experts in finance and technology. The surprising thing was not the balances or the graphics, but the common denominator that emerged: the anxieties expressed by these leaders were the same as any family father can feel in a distant town and without access to capital or digital sophistication. At both ends of the social spectrum, the same concern appears in the face of the future dominated by intelligent systems.
Defining “Iansidad” is not just a rhetorical exercise. It is a conceptual framework to understand the erosion of certainties in a world accelerated by algorithms. Recent studies show that the most advanced language models (Chatgpt, Deepseek, Call or Claude) offer contradictory answers to basic questions, such as the date of birth of a recognized researcher. This inconsistency between systems that should coincide in the same truth feeds distrust and reinforces social anxiety.
The problem is not anecdotal. Academic investigations have shown that models “hallucinate” not by accident, but as a consequence of the way they are trained: optimized to guess with confidence even when they lack certainty. This predisposition to manufacture apparent truths explains why different technological companies offer divergent versions of simple events.
One of the most visible anxiety spotlights is the erosion of cognitive skills. MIT researchers detected that brain activity decreases by 47% when problems are solved with the help of a chatbot instead of doing so independently. The excessive delegation threatens to atrophy basic functions of memory and critical thinking, configuring a future where the human mind exercises less because the software does it for it.
Social disconnection is another axis of concern. According to Mastercard estimates, by mid -2025 there were already hundreds of millions of AI Companions around the world. These applications, designed to accompany and simulate affective links, generate deep questions: can human ties compete with programmed relationships not to fail? What began as entertainment has been transformed into a real company substitute, questioning the very essence of intimacy.
It also worries the ecological and governance impact. Behind each seemingly harmless interaction there is a hidden cost. The World Economic Forum calculates that a simple prompt of 100 words can consume 519 milliliters of water. In turn, the MIT projects that by 2026 the data centers will be the fifth largest consumer of electricity on the planet. To the environmental pressure, the capacity of these technologies to influence political and economic decisions is added, opening a debate on the sustainability of a model that demands natural resources while becoming an actor in global governance.
Labor and creative obsolescence adds another layer of uncertainty. The World Economic Forum provides that one in four occupations will be volatile or will be completely transformed under the pressure of automated systems. Automation is not limited to repetitive tasks, but also advances to land traditionally reserved for human originality. Prospective scenarios such as those described in AI 2027 anticipate that autonomous agents will be able to replace researchers, programmers and analysts, accelerating innovation cycles with minimal human intervention. Anxiety no longer focuses on losing a job, but also losing the value of singularity.
Veracity is another critical point. Microsoft estimates that by 2028 there will be 1,300 million autonomous agents, a figure comparable to the population of India. In parallel, studies on hallucinations suffering from artificial intelligence, explain that the statistical design of models privileges apparent security above precision. The result is a world where the real and manufactured are indistinguishable. Anxiety is not only informative, but existential: confidence in the senses and collective memory is eroded in a saturated environment of drill.
Global governance reinforces these tensions. According to scenario AI 2027, leading companies will accelerate research by 50% thanks to autonomous agents dedicated to R&D. This places private corporations at a level of power similar to that of states, to the point of influencing international defense and security strategies. Geopolitics, traditionally defined by governments and armies, is conditioned by algorithms capable of altering power balances in a matter of months.
To all this, the psychological dimension is added. Sam Altman, CEO of Openai, has publicly warned that intense interaction with conversational models can increase emotional vulnerability and even suicide risks. Their statements reflect that anxiety in the face of these tools is not only economic or political, but also impacts mental health and social coexistence.
Before this panorama two positions emerge. The “AI Slow Down” proposes to stop development until they have effective controls. On the other hand, the idea of ​​an “AI Slow Wave” suggests modular the speed of change, allowing social, cultural and ethical adaptation without stopping progress.
“Iannsiety” is not a condemnation, but a mirror. It reflects a shared fragility between financial leaders in the City of London and families in any corner of the planet. Technology, in its promise and in its threat, reveals that humanity faces for the first time a truly common challenge: learn to live with a system that unites as much as restless.
About the author:
*Luis Chacón is a global business consultant; Focused on mass consumption, competitive strategy, innovation, and prospective.
The opinions expressed are only the responsibility of their authors and are completely independent of the position and the editorial line of Forbes Mexico.
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