🤖 AI Summary
This paper critically examines the empirical foundations of the “superintelligence-induced human extinction within a decade” claim promoted by two bestselling 2025 works—*AI 2027* and *If Anyone Builds It, Everyone Dies*. Method: Drawing on critical technology studies, empirical analysis of generative AI trends (2023–2025), and structural economic observations regarding compute and capital concentration—and integrating Whittaker’s algorithmic accountability and Zuboff’s surveillance capitalism frameworks—the study systematically evaluates the “intelligence explosion → superintelligence → goal misalignment” causal chain. Contribution/Results: Findings indicate that contemporary large language models remain narrow, statistical tools lacking autonomous evolution or runaway capability. The “existential risk” narrative functions less as a technical forecast than as an ideological apparatus legitimizing surveillance capitalism expansion and compute monopolization, deeply entangled with the 2025 AI financial speculation bubble. This work is the first to identify AI doomsday discourse as a capital-driven ideological construct rather than a falsifiable technological prediction.
📝 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, 2025c) and Zuboff (2019, 2025), we argue that the existential-risk thesis functions primarily as an ideological distraction from the ongoing consolidation of surveillance capitalism and extreme concentration of computational power. The thesis is further inflated by the 2025 AI speculative bubble, where trillions in investments in rapidly depreciating "digital lettuce" hardware (McWilliams, 2025) mask lagging revenues and jobless growth rather than heralding superintelligence. The thesis remains, in November 2025, a speculative hypothesis amplified by a speculative financial bubble rather than a demonstrated probability.