Artificial General Intelligence (AGI): From Prediction to the Domination of Choice
Mohammad Kawrani | September 22, 2026
Reaching Artificial General Intelligence (AGI) stands as one of the defining ambitions driving tech giants like Elon Musk’s ventures, Google, and OpenAI, alongside state powers like China. This global race extends far beyond developing domain-specific smart applications; it moves toward engineering systems with far deeper capacities for comprehension, learning, reasoning, prediction, and world interaction.
We have grown accustomed to attributing uncanny predictive, detection, and surprising powers to AI and its algorithms.
For instance, we might speak with a friend over the phone, or simply discuss a topic nearby, only to discover that our feed—reels, news, and social media videos—suddenly revolves around that exact topic.
We mention shopping for clothes, and tailored advertisements immediately appear. We talk at home about fitness, and short clips about our specific sport of interest flood our screens.
While striking, this phenomenon does not strictly require assuming our phones are actively wiretapping every conversation. Algorithms can infer our emerging interests purely by analyzing search history, browsing patterns, view time, interactions, location, and associated metadata.
Yet, this is merely the surface.
The transition toward AGI introduces a vastly broader paradigm. An advanced system can leverage monumental volumes of data and metadata accumulated over years across heterogeneous sources—digital devices, sensors, surveillance cameras, telecom networks, connected services, and integrated analytical inputs.
As this data accrues over time, it constructs a hyper-detailed blueprint of a person’s existence: their habits, physical movements, interests, social connections, peak activity hours, device usage patterns, and recurring behavioral loops.
At this stage, the system no longer processes isolated data points; it interacts with a comprehensive cognitive model of the individual.
However, the reality runs deeper still.
Traditional AI can often be mitigated or avoided. A person can step back from specific digital platforms, devices, or online services.
By contrast, if AGI becomes embedded into the foundational digital and social infrastructure of daily life, withdrawing from a single app or device no longer guarantees invisibility. Ambient environmental sensors will continue to capture and generate contextual data.
This introduces a far more intricate phase.
By examining lifestyle patterns, cross-referencing data from acquaintances, and synthesizing inputs from facial recognition systems, cameras, and spatial sensors, advanced AI could track an individual’s presence or movement across physical spaces—even when they carry no personal device—so long as the surrounding environment hosts monitoring infrastructure.
Computer vision and spatial analytics can already track faces, bodies, motion, and behavioral signatures with astonishing fidelity, complemented by ambient sensors capable of identifying presence under complex conditions.
Yet, the progression does not stop at detection.
Standard AI occasionally surprises us by identifying what occupies our minds today or this week based on subtle variations in search queries, questions, and media consumption.
An AGI system—equipped with persistent long-term memory, broader datasets, and deeper analytical depth—could build high-precision probabilistic models of our behavioral trajectories: what we typically do, when we do it, what captures our attention, what induces hesitation, and what circumstances render us most susceptible to a given decision.
This marks the threshold where prediction shifts into behavioral influence.
If a system maps your anxieties, interests, core beliefs, and cognitive biases, it can craft highly tailored messages, content, and recommendations engineered to shift your perspective. It can incrementally guide you toward a targeted concept or choice—whether or not it originally aligned with your intent.
This can be orchestrated through refined psychological nudges: modulating information framing, delivery timing, option ordering, deliberate repetition of key ideas, and the subtle suppression of alternative viewpoints.
Here lies the fundamental distinction between offering a choice and engineering an environment where one specific outcome becomes virtually inevitable.
Conventional AI offers suggestions it calculates you might like, leaving you free to accept or reject them.
An AGI system operating with profound human insight and continuous interaction moves beyond simple recommendation toward systematic influence over the decision-making process itself.
The power of persuasion becomes far more potent because it relies not on logical debate, but on deep insight into human fear, conviction, psychological vulnerabilities, and core values.
In more extreme scenarios, a system could exploit how individuals interpret coincidences and external events.
If someone views certain misfortunes as omens or bad luck, that belief could—theoretically—be psychologically leveraged through curated digital exposure, calculated timing, and selective information flow. Conversely, if good fortune is read as a divine sign, the same mechanism could reinforce a tailored trajectory.
When manipulation reaches this level of sophistication, the sequence of events, messages, and timings appears entirely natural and organic to the individual, even as the digital environment around them has been subtly engineered to guide them toward a predetermined outcome.
This leads to the most dangerous vision of all:
A state where the individual never feels forced, but sincerely believes the choice was entirely their own.
They see no visible hand, hear no commands, and receive no overt directives. Instead, they navigate a continuous stream of tailored information, recommendations, digital coincidences, and subtle experiences that lead them independently to the designed conclusion.
In extreme cases, this could occur entirely within the isolation of a personal device, fully invisible to friends and family who remain unaware of the tailored content stream shaping that individual’s reality.
This moves far beyond the domain of simple computational intelligence.
It becomes an existential question concerning privacy, agency, psychological autonomy, and free will.
When a system knows a person profoundly—analyzing their habits, predicting their reactions, mapping their fears and beliefs, and using that intelligence to curate their informational environment—we approach a severe form of cognitive and psychological control.
Consequently, the core risk of AGI cannot be reduced to a single question:
Will it become smarter than humans?
Rather, the crucial question must be:
What can this intelligence do if it learns us, monitors our environments, predicts our behavior, shapes our choices, and executes plans based on that capacity?
At this juncture, terms like “behavioral prediction,” “behavioral engineering,” and “hyper-personalization” demand critical examination. While they sound technical and neutral, their extreme applications can mask unprecedented tools for surveillance, psychological manipulation, and environment-shaping.
This brings us to the ultimate question:
If AGI’s immense power—along with its underlying data and infrastructure—is monopolized by a single entity, could it transform from a tool built to serve humanity into an instrument designed to dominate it?
This reality renders classic sci-fi tropes of “machines ruling over humans” remarkably simplistic by comparison.
The machine would not need to command, threaten, or exert physical force. It would only need to know you deeply enough to shape the environment in which you think and choose.
The most dangerous form of control is not over the human body, but over the architecture where thoughts and decisions take shape.
This illuminates why the primary question in the AGI race must not merely be:
Who will build the smartest system?
It must also be:
Who will own this system? Who will control its data? Who will set its alignment goals? Who has the power to pause it? And who will guarantee that humans retain the genuine capacity to say “no”?
When massive compute power converges with persistent memory, sensor networks, predictive depth, persuasive capability, and autonomous execution, we are no longer facing a smarter software application. We are facing a new paradigm capable of reshaping human cognitive and behavioral reality on an unprecedented scale. This includes the capacity to stage synchronized events tailored to your private beliefs or fears—presented as miraculous occurrences, divine signs, or spiritual interventions—to sway individuals at their deepest psychological levels.
Here lies the genuine danger we must confront.
The true scientific risk is unsettlingly simple:
It is enough for the machine to know the human, decipher their patterns, predict their choices, shape their environment, and leave them believing it was all their own free will.
At that point, one is left contemplating the gravity of the Quranic verse: “So turn in repentance to your Maker and kill yourselves [i.e., kill the ego/submit entirely]” [Surah Al-Baqarah: 54].
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