Abstract:This paper argues that Artificial Intelligence should be understood as a form of monism:
a unified substance that cannot be decomposed into separate elements such as data,
algorithms, or technical architectures. Drawing from philosophical traditions of monism,
dualism, and holism, the paper contends that AI is not merely a collection of components
but a single, indivisible essence reflecting the phenomena it replicates. Treating AI as
monism has deep implications across multiple dimensions. Epistemologically, it positions
AI as the central interpretive force across technological, organisational, and societal
domains, while raising ethical and existential concerns regarding singularity, the
homogenisation of innovation, and the concentration of decision-making power. At the
organisational level, a monistic approach challenges traditional siloed structures,
advocating instead for transversal, problem-centric teams whose mandate derives from
the integrity of the problem rather than from departmental hierarchy. In project
management, it implies a unified vision and an integrated evaluation of complexity in
which no single stakeholder perspective dominates the assessment of outcomes. In data
and information management, it calls for architectures that reflect the irreducible unity
of the phenomena being modelled. Ultimately, this paper calls for a paradigm shift in
how AI is conceptualised, governed, and integrated, suggesting that only by embracing AI
as monism can organisations achieve genuine agility and avoid the structural
inefficiencies inherent to reductionist approaches.
From: Bertrand Hassani [view email]
[v1]
Mon, 15 Jun 2026 16:43:23 UTC (15 KB)
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