Category: Capability-Adoption Gap

The Second-Order Gap: When Adopted AI Creates New Capability Gaps

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Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19556491  40stabilfr·wdophcgmx
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When organizations successfully adopt AI systems, they often discover that adoption creates as many problems as it solves. This phenomenon—the second-order gap—occurs when AI adoption reveals or generates new capability deficiencies that organizations had not anticipated. This article examines the mechanisms driving second-order gap formation, quantifies their prevalence across enterprise conte...

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.19556491 40stabilfr·wdophcgmx
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Closing the Gap: Evidence-Based Strategies That Actually Work

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Gap Research by Oleh Ivchenko  67stabilfr·wdophcgmx
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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 capabilit...

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Gap Research by Oleh Ivchenko 67stabilfr·wdophcgmx
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Measuring Adoption Velocity: Metrics and Benchmarks Across Industries

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Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19423051  58stabilfr·wdophcgmx
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Adoption velocity — the rate at which organisations move from AI awareness to scaled deployment — has emerged as a critical differentiator between enterprises that extract compounding value from artificial intelligence and those perpetually stuck in pilot limbo. In the previous article, we established that the training gap is the primary human-side barrier to AI deployment; here we turn to meas...

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.19423051 58stabilfr·wdophcgmx
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The Training Gap: When AI Capability Outpaces Workforce Readiness

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Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19420224  50stabilfr·wdophcgmx
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The gap between what AI systems can do and what organizations can operationally deploy continues to widen — driven not only by technical integration challenges but increasingly by workforce unreadiness. This article examines the training gap as a structural component of the capability-adoption gap, analyzing why AI upskilling initiatives consistently fail to produce durable competency gains. Dr...

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.19420224 50stabilfr·wdophcgmx
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All-You-Can-Eat Agentic AI: The Economics of Unlimited Licensing in an Era of Non-Deterministic Costs

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Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19371258  62stabilfr·wdophcgmx
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The transition from deterministic SaaS workloads to non-deterministic agentic AI systems has fundamentally disrupted enterprise software pricing. Traditional per-seat licensing assumed predictable, bounded resource consumption per user. Agentic AI violates this assumption: autonomous agents consume 5-30x more tokens than simple chatbots, exhibit unpredictable usage patterns, and chain multiple ...

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.19371258 62stabilfr·wdophcgmx
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Adoption Friction Taxonomy: Categorizing the Barriers Between AI Capability and Enterprise Deployment

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Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.19219179  54stabilfr·wdophcgmx
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The gap between what AI can do and what organizations actually deploy continues to widen in 2026. While previous articles in this series quantified the magnitude of this gap across sectors, the underlying friction mechanisms remain poorly categorized. This article introduces a four-quadrant Adoption Friction Taxonomy (AFT) that classifies eight empirically identified barrier categories along tw...

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.19219179 54stabilfr·wdophcgmx
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The Monitor Shows What Nobody Wants to See: AI Is Here, It Is Eating Jobs, and We Can Only Watch

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Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18993208  54stabilfr·wdophcgmx
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Odesa National Polytechnic University, Department of Economic Cybernetics · PhD Candidate, ML in Pharma Economics

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.18993208 54stabilfr·wdophcgmx
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The 8× Gap: Why Healthcare AI Will Never Reach Its Theoretical Ceiling (And What That Means for Every Other High-Stakes Industry)

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AI Economics by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18964576  72stabilfr·wdophcgmx
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Score = Ref Trust (75 × 60%) + Required (4/5 × 30%) + Optional (1/4 × 10%)

There is a number buried in Anthropic's January 2026 Economic Index that should alarm every chief information officer, hospital administrator, and healthcare AI vendor currently claiming that artificial intelligence will transform clinical medicine. The number is 8. That is the gap multiplier between what AI systems can do in healthcare — 40% theoretical task coverage — and what hospitals are a...

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AI Economics by Oleh Ivchenko DOI: 10.5281/zenodo.18964576 72stabilfr·wdophcgmx
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Score = Ref Trust (75 × 60%) + Required (4/5 × 30%) + Optional (1/4 × 10%)
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The Coverage Gap: What AI Can Do vs. What We Actually Use It For

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AI Economics by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18911661  50stabilfr·wdophcgmx
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[t]Trusted75%○≥80% from verified, high-quality sources
[a]DOI63%○≥80% have a Digital Object Identifier
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Anthropic published something rare this week: a paper that uses actual usage data instead of speculation. Most labor displacement research asks "what tasks could AI theoretically do?" and then declares a crisis. Massenkoff and McCrory asked a different question: "what tasks are people actually using it for?" The gap between those two answers is the most important number in AI economics right no...

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AI Economics by Oleh Ivchenko DOI: 10.5281/zenodo.18911661 50stabilfr·wdophcgmx
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Ukraine’s AI Duality: World Leader in Battlefield Systems, Lagging in Civil Adoption

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Gap Research
Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896514  42stabilfr·wdophcgmx
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Ukraine has emerged as the most intensively documented front-line AI deployment environment in recorded conflict history — simultaneously pioneering battlefield AI systems that have reshaped NATO's operational doctrine and building a surprisingly resilient civil e-governance infrastructure under active wartime conditions. Yet beneath these headline achievements lies a stark bifurcation: Ukraine...

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Gap Research by Oleh Ivchenko DOI: 10.5281/zenodo.18896514 42stabilfr·wdophcgmx
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