Closing the Gap: Evidence-Based Strategies That Actually Work
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Abstract
Evidence-based strategies transform AI adoption from aspiration into measurable outcomes Stabilarity Research Hub April 2026 DOI: 10.5281/zenodo.19117123 Abstract The capability-adoption gap in artificial intelligence is well-documented but poorly addressed. While organizations invest heavily in AI development and deployment, measurable adoption rates consistently lag behind projected capability improvements by 20–40 percentage points across industries. This article synthesizes evidence from 200
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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-10-13
Authors: Oleh Ivchenko
Institutions: Odesа Polytechnic National University