Humanity in the Age of AI: Reassessing 2025's Existential-Risk Narratives
Mohamed El Louadi

TL;DR
This paper critically examines recent existential-risk narratives about superintelligent AI, arguing that empirical evidence from 2023-2025 does not support these claims and that the focus on such risks may distract from pressing societal issues.
Contribution
It provides an empirical reassessment of 2025 AI risk claims, challenging their basis and highlighting the influence of ideological and financial factors.
Findings
No observed evidence of recursive self-improvement or lethal misalignment in AI models
Current AI remains narrow and statistically trained, lacking properties for catastrophic scenarios
Existential-risk narratives are driven by ideological distraction and financial bubbles
Abstract
Two 2025 publications, "AI 2027" (Kokotajlo et al., 2025) and "If Anyone Builds It, Everyone Dies" (Yudkowsky & Soares, 2025), assert that superintelligent artificial intelligence will almost certainly destroy or render humanity obsolete within the next decade. Both rest on the classic chain formulated by Good (1965) and Bostrom (2014): intelligence explosion, superintelligence, lethal misalignment. This article subjects each link to the empirical record of 2023-2025. Sixty years after Good's speculation, none of the required phenomena (sustained recursive self-improvement, autonomous strategic awareness, or intractable lethal misalignment) have been observed. Current generative models remain narrow, statistically trained artefacts: powerful, opaque, and imperfect, but devoid of the properties that would make the catastrophic scenarios plausible. Following Whittaker (2025a, 2025b,…
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Taxonomy
TopicsSpace Science and Extraterrestrial Life · Innovation, Sustainability, Human-Machine Systems · Socio-political and Technological Issues
