Closing the Gap: Evidence-Based Strategies That Actually Work
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
Authors
- Oleh Ivchenko (ORCID: https://orcid.org/0000-0002-9540-1637)
Institutions
- Odessa National Polytechnic University (UA)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-10-13
- DOI
- https://doi.org/10.5281/zenodo.23328430
- Primary Topic
- Artificial Intelligence Applications
- Type
- preprint