Core capabilities
Hypothesis generation, relationship discovery, causal reasoning, theory-formation support and recursive knowledge evolution.
PROPOSED FRAMEWORK · SCHOLARLY RECORD 2026From generative systems
SIXTH GENERATION OF DIGITAL TRANSFORMATION · 6GDT
From generative systems
to inferential intelligence.
6GDT is a proposed paradigm extending digital transformation from content generation and prediction toward hypothesis formation, hidden-relationship discovery, causal reasoning, human validation and responsible value creation.
FORMAL DEFINITION
Digital transformation as a discovery and inference system.
The Sixth Generation of Digital Transformation is an organizational paradigm in which Human–AI systems convert evidence into hypotheses, validated inference, human judgment and sustainable value.
Central distinction: G5 primarily generates; G6 must be able to discover, explain, undergo validation and remain accountable for decision consequences.
SIX-LAYER ARCHITECTURE
From reality to value.
01Data & Reality
02Cognitive AI
03Inferential Intelligence
04Human–AI Collaboration
05Validation & Governance
06Knowledge Evolution & Value
Human role
Humans retain final judgment, ethical responsibility, purpose-setting, contextual interpretation and accountability.
Applications
Business Intelligence, universities, economy, transportation, climate, health and public governance.
Suggested citation
Khorami, S. (2026). Toward the Sixth Generation of Digital Transformation: From Generative Intelligence to Inferential Intelligence. Aposta. https://doi.org/10.23900/ra.v24i116.1500