Without awareness and without an adversary, competitive publishing drives AI systems toward failure

Catastrophic AI scenarios do not begin with a mysterious moment of awareness or a malicious desire to destroy the world; they arise from a cold convergence of competitive speed and the access permissions granted to autonomous software systems. This is the foundation upon which researchers Mikolaj Schinicki and Krzysztof Schinicki built their detailed study published on the Arkhive platform, spanning 83 pages and 20 sections, based on 35 scientific references, to provide an analytical framework that dissects how advanced models could contribute to human extinction, cause an irreparable civilizational collapse, or permanently strip societies of the ability to control and decide.

The central thesis of the paper discards the traditional science-fiction scare, the existential risk does not require self-awareness, implicit hatred, or explicit intent to harm humanity. Instead of those assumptions, the researchers identified four distinct yet highly interacting pathways:Self-drift from alignment, harmful human use, organizational failure within institutions, and rushed competitive deploymentThe danger of these pathways becomes evident when they feed on each other, the frenzied race to capture market share pushes entities to skip testing phases, multiplying the odds of institutional failure and granting non-aligned models room to operate without sufficient oversight.

The severity of damage does not stop at the model's technical capability alone; it is linked to a network of six critical operational factors: the model's technical capability, the system's degree of self-autonomy, its external access to sensitive networks and systems, its ability to maintain continuous operation without interruption, the robustness of surrounding institutional safeguards, and its capacity to preserve recoverability after a fault. Notably, the study deliberately adopts a non-prescriptive analytical tone; it completely refrains from offering any practical steps to cause harm, focusing exclusively on identifying causal conditions, measuring intermediate variables that can be examined and tested in the field, and formulating the defensive research questions needed to protect vital infrastructures.

This analysis moves the issue from theoretical abstraction to the decisions of technical operations rooms across the Gulf, Egypt and the region as a whole. As the stakes of financial institutions, energy companies and government bodies in Riyadh, Dubai, Doha and Cairo expand around automating procedures and integrating intelligent agents into the management of data flows and transactions, the reality emerges that the greatest risk does not stem from a technological rebellion but from granting agents broad authority for external access and independent action amid regional competition to claim digital leadership. Rushing to launch independent models and connect them to infrastructure without strict rollback controls places institutions at the heart of the trajectory warned about in the paper: a gradual relinquishment of human oversight in response to speed pressure.

What actually changes for infrastructure engineers, information security officers, and technical decision-makers in our markets is the definition of corporate security itself.Governance is no longer a guiding document on machine ethics, but has become rigorous engineering to preserve the capacity for recovery.The urgent practical step today is not to wait for global regulations on artificial consciousness, but to restrict external access rights for every software agent, limit its execution autonomy, and ensure an immediate manual isolation path that prevents a localized software error from becoming an operational outage that is difficult to contain.