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Daily Review: MIT Sloan Pulls Back Agentic AI Expectations — March 2026 Recalibration

Posted on March 7, 2026March 10, 2026 by
Journal Commentary
Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18930643  33stabilfr·wdophcgmx
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[t]Trusted31%○≥80% from verified, high-quality sources
[a]DOI8%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed15%○≥80% have metadata indexed
[l]Academic8%○≥80% from journals/conferences/preprints
[f]Free Access46%○≥80% are freely accessible
[r]References13 refs✓Minimum 10 references required
[w]Words [REQ]2,143✓Minimum 2,000 words for a full research article. Current: 2,143
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18930643
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]43%✗≥60% of references from 2025–2026. Current: 43%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (21 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

MIT Sloan Management Review's 2026 forecast, authored by Thomas Davenport and Randy Bean, delivers a deliberate recalibration of the agentic AI narrative that dominated enterprise conversations throughout 2025. Their assessment — that agentic systems are not yet ready for prime time, that the AI bubble is likely to deflate, and that generative AI must evolve from individual productivity enhance...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.18930643 33stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted31%○≥80% from verified, high-quality sources
[a]DOI8%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed15%○≥80% have metadata indexed
[l]Academic8%○≥80% from journals/conferences/preprints
[f]Free Access46%○≥80% are freely accessible
[r]References13 refs✓Minimum 10 references required
[w]Words [REQ]2,143✓Minimum 2,000 words for a full research article. Current: 2,143
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18930643
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]43%✗≥60% of references from 2025–2026. Current: 43%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (21 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Survival as a Strategy: Ukraine’s AI Trajectory in War and Peace

Posted on March 7, 2026March 7, 2026 by Admin
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896813  42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted71%○≥80% from verified, high-quality sources
[a]DOI14%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed14%○≥80% have metadata indexed
[l]Academic14%○≥80% from journals/conferences/preprints
[f]Free Access50%○≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,208✓Minimum 2,000 words for a full research article. Current: 2,208
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896813
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]7%✗≥60% of references from 2025–2026. Current: 7%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (35 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

We can already observe the development and implementation of artificial intelligence in various spheres of human activity. And, strange as it may seem, Ukraine's success in using advanced technologies, particularly in the military sphere, is logically and predictably driven by its need to survive in a challenging war against a powerful adversary. While the use of artificial intelligence in othe...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18896813 42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted71%○≥80% from verified, high-quality sources
[a]DOI14%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed14%○≥80% have metadata indexed
[l]Academic14%○≥80% from journals/conferences/preprints
[f]Free Access50%○≥80% are freely accessible
[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,208✓Minimum 2,000 words for a full research article. Current: 2,208
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896813
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]7%✗≥60% of references from 2025–2026. Current: 7%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (35 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Ukraine’s AI Duality: World Leader in Battlefield Systems, Lagging in Civil Adoption

Posted on March 7, 2026March 13, 2026 by
Gap Research
Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896514  39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI7%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed13%○≥80% have metadata indexed
[l]Academic13%○≥80% from journals/conferences/preprints
[f]Free Access67%○≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
[w]Words [REQ]3,893✓Minimum 2,000 words for a full research article. Current: 3,893
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896514
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]6%✗≥60% of references from 2025–2026. Current: 6%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

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 39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted67%○≥80% from verified, high-quality sources
[a]DOI7%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed13%○≥80% have metadata indexed
[l]Academic13%○≥80% from journals/conferences/preprints
[f]Free Access67%○≥80% are freely accessible
[r]References15 refs✓Minimum 10 references required
[w]Words [REQ]3,893✓Minimum 2,000 words for a full research article. Current: 3,893
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896514
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]6%✗≥60% of references from 2025–2026. Current: 6%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Decision-Cycle Compression in AI-Augmented Warfare: Ukraine and the Indian Ocean Engagement

Posted on March 7, 2026March 7, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896370  32stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted37%○≥80% from verified, high-quality sources
[a]DOI5%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed5%○≥80% have metadata indexed
[l]Academic5%○≥80% from journals/conferences/preprints
[f]Free Access37%○≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]3,980✓Minimum 2,000 words for a full research article. Current: 3,980
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896370
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (19 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

This paper presents a comparative analysis of AI-assisted decision systems in two empirically distinct kinetic environments: the ongoing Russo-Ukrainian war (2022–2026), which constitutes the most extensively documented contemporary frontline proving of AI-augmented battlefield management, and the sinking of the Iranian Navy frigate IRIS Dena by USS Charlotte on 4 March 2026 in the Indian Ocean...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18896370 32stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted37%○≥80% from verified, high-quality sources
[a]DOI5%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed5%○≥80% have metadata indexed
[l]Academic5%○≥80% from journals/conferences/preprints
[f]Free Access37%○≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]3,980✓Minimum 2,000 words for a full research article. Current: 3,980
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18896370
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (19 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Open-Source vs Proprietary LLMs: Real Enterprise Economics

Posted on March 6, 2026March 12, 2026 by
Applied Research
Applied Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18894954  34stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted19%○≥80% from verified, high-quality sources
[a]DOI13%○≥80% have a Digital Object Identifier
[b]CrossRef6%○≥80% indexed in CrossRef
[i]Indexed25%○≥80% have metadata indexed
[l]Academic19%○≥80% from journals/conferences/preprints
[f]Free Access31%○≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]2,188✓Minimum 2,000 words for a full research article. Current: 2,188
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18894954
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]41%✗≥60% of references from 2025–2026. Current: 41%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (22 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The choice between open-source and proprietary large language models (LLMs) is one of the most consequential economic decisions facing enterprise technology leaders in 2026. While proprietary APIs from OpenAI, Anthropic, and Google offer immediate access to frontier capability with zero infrastructure overhead, the true total cost of ownership (TCO) diverges sharply from sticker pricing at scal...

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Applied Research by Oleh Ivchenko DOI: 10.5281/zenodo.18894954 34stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources6%○≥80% from editorially reviewed sources
[t]Trusted19%○≥80% from verified, high-quality sources
[a]DOI13%○≥80% have a Digital Object Identifier
[b]CrossRef6%○≥80% indexed in CrossRef
[i]Indexed25%○≥80% have metadata indexed
[l]Academic19%○≥80% from journals/conferences/preprints
[f]Free Access31%○≥80% are freely accessible
[r]References16 refs✓Minimum 10 references required
[w]Words [REQ]2,188✓Minimum 2,000 words for a full research article. Current: 2,188
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18894954
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]41%✗≥60% of references from 2025–2026. Current: 41%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams4✓Mermaid architecture/flow diagrams. Current: 4
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (22 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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AI Governance Economics: The Cost of Compliance in the Regulatory Era

Posted on March 6, 2026March 8, 2026 by
AI Economics
AI Economics by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18892313  37stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources10%○≥80% from editorially reviewed sources
[t]Trusted33%○≥80% from verified, high-quality sources
[a]DOI14%○≥80% have a Digital Object Identifier
[b]CrossRef10%○≥80% indexed in CrossRef
[i]Indexed19%○≥80% have metadata indexed
[l]Academic29%○≥80% from journals/conferences/preprints
[f]Free Access33%○≥80% are freely accessible
[r]References21 refs✓Minimum 10 references required
[w]Words [REQ]2,628✓Minimum 2,000 words for a full research article. Current: 2,628
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18892313
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]32%✗≥60% of references from 2025–2026. Current: 32%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (28 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The emergence of mandatory AI governance frameworks—principally the European Union's AI Act (August 2026 enforcement), NIST AI Risk Management Framework, and ISO/IEC 42001—is transforming enterprise AI compliance from a voluntary discipline into a mandatory cost centre. Gartner projects AI governance platform spending to reach $492 million in 2026 and surpass $1 billion by 2030, as regulatory f...

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AI Economics by Oleh Ivchenko DOI: 10.5281/zenodo.18892313 37stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources10%○≥80% from editorially reviewed sources
[t]Trusted33%○≥80% from verified, high-quality sources
[a]DOI14%○≥80% have a Digital Object Identifier
[b]CrossRef10%○≥80% indexed in CrossRef
[i]Indexed19%○≥80% have metadata indexed
[l]Academic29%○≥80% from journals/conferences/preprints
[f]Free Access33%○≥80% are freely accessible
[r]References21 refs✓Minimum 10 references required
[w]Words [REQ]2,628✓Minimum 2,000 words for a full research article. Current: 2,628
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18892313
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]32%✗≥60% of references from 2025–2026. Current: 32%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (28 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Middle East AI Investment Surge: AWS Saudi Arabia and the Race for Regional AI Dominance

Posted on March 6, 2026March 6, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18889315  39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources12%○≥80% from editorially reviewed sources
[t]Trusted47%○≥80% from verified, high-quality sources
[a]DOI18%○≥80% have a Digital Object Identifier
[b]CrossRef12%○≥80% indexed in CrossRef
[i]Indexed12%○≥80% have metadata indexed
[l]Academic24%○≥80% from journals/conferences/preprints
[f]Free Access41%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]3,008✓Minimum 2,000 words for a full research article. Current: 3,008
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18889315
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The Middle East has emerged as one of the world's most contested AI infrastructure battlegrounds, with Gulf states deploying trillions in sovereign wealth to position themselves as neutral nodes in an increasingly fragmented global AI order. Amazon Web Services' $5.3 billion Saudi Arabia cloud region—augmented by an additional $5 billion AI Zone built in partnership with HUMAIN, a Public Invest...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18889315 39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources12%○≥80% from editorially reviewed sources
[t]Trusted47%○≥80% from verified, high-quality sources
[a]DOI18%○≥80% have a Digital Object Identifier
[b]CrossRef12%○≥80% indexed in CrossRef
[i]Indexed12%○≥80% have metadata indexed
[l]Academic24%○≥80% from journals/conferences/preprints
[f]Free Access41%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]3,008✓Minimum 2,000 words for a full research article. Current: 3,008
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18889315
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (31 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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AI Sovereignty as Geopolitical Strategy: The EU–US Regulatory Divergence and Its Global Consequences

Posted on March 6, 2026March 6, 2026 by D G
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18886429  42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources11%○≥80% from editorially reviewed sources
[t]Trusted63%○≥80% from verified, high-quality sources
[a]DOI11%○≥80% have a Digital Object Identifier
[b]CrossRef5%○≥80% indexed in CrossRef
[i]Indexed21%○≥80% have metadata indexed
[l]Academic26%○≥80% from journals/conferences/preprints
[f]Free Access42%○≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]3,175✓Minimum 2,000 words for a full research article. Current: 3,175
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18886429
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (36 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The governance of artificial intelligence has become the defining axis of geopolitical competition in 2026. Where the United States has pivoted decisively toward federal deregulation — preempting state-level AI laws and dismantling Biden-era executive oversight — the European Union advances an increasingly assertive sovereignty architecture anchored by the AI Act, scheduled for full enforcement...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18886429 42stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources11%○≥80% from editorially reviewed sources
[t]Trusted63%○≥80% from verified, high-quality sources
[a]DOI11%○≥80% have a Digital Object Identifier
[b]CrossRef5%○≥80% indexed in CrossRef
[i]Indexed21%○≥80% have metadata indexed
[l]Academic26%○≥80% from journals/conferences/preprints
[f]Free Access42%○≥80% are freely accessible
[r]References19 refs✓Minimum 10 references required
[w]Words [REQ]3,175✓Minimum 2,000 words for a full research article. Current: 3,175
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18886429
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (36 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Daily Review: AI Hallucinations in Wartime — When Chatbots Get Geopolitics Wrong

Posted on March 6, 2026March 6, 2026 by
Journal Commentary
Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18884216  39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources17%○≥80% from editorially reviewed sources
[t]Trusted35%○≥80% from verified, high-quality sources
[a]DOI22%○≥80% have a Digital Object Identifier
[b]CrossRef17%○≥80% indexed in CrossRef
[i]Indexed17%○≥80% have metadata indexed
[l]Academic26%○≥80% from journals/conferences/preprints
[f]Free Access17%○≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]3,155✓Minimum 2,000 words for a full research article. Current: 3,155
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18884216
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]29%✗≥60% of references from 2025–2026. Current: 29%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (30 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

The deployment of large language models in high-stakes geopolitical contexts — from intelligence analysis to public information consumption during active conflicts — has e[REDACTED]sed a critical reliability gap that the AI industry has not adequately resolved. In March 2026, as US and Israeli forces conducted strikes on Iran, reports confirmed that Anthropic's Claude was embedded in US Central...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.18884216 39stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources17%○≥80% from editorially reviewed sources
[t]Trusted35%○≥80% from verified, high-quality sources
[a]DOI22%○≥80% have a Digital Object Identifier
[b]CrossRef17%○≥80% indexed in CrossRef
[i]Indexed17%○≥80% have metadata indexed
[l]Academic26%○≥80% from journals/conferences/preprints
[f]Free Access17%○≥80% are freely accessible
[r]References23 refs✓Minimum 10 references required
[w]Words [REQ]3,155✓Minimum 2,000 words for a full research article. Current: 3,155
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18884216
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]29%✗≥60% of references from 2025–2026. Current: 29%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams5✓Mermaid architecture/flow diagrams. Current: 5
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (30 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
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Israel-Iran Escalation: How Kinetic Conflict Tests AI Defense Infrastructure

Posted on March 6, 2026March 6, 2026 by
Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18883019  26stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted23%○≥80% from verified, high-quality sources
[a]DOI5%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed18%○≥80% have metadata indexed
[l]Academic18%○≥80% from journals/conferences/preprints
[f]Free Access27%○≥80% are freely accessible
[r]References22 refs✓Minimum 10 references required
[w]Words [REQ]1,739✗Minimum 2,000 words for a full research article. Current: 1,739
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18883019
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (19 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)

The March 2026 Israel-Iran kinetic conflict represents the most extensive real-world stress test of AI-integrated defense infrastructure in history. For the first time, artificial intelligence systems are not peripheral tools but embedded operational components — driving target identification, missile intercept prioritization, drone swarm coordination, and cyber-offensive operations at machine ...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18883019 26stabilfr·wdophcgmx
BadgeMetricValueStatusDescription
[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted23%○≥80% from verified, high-quality sources
[a]DOI5%○≥80% have a Digital Object Identifier
[b]CrossRef0%○≥80% indexed in CrossRef
[i]Indexed18%○≥80% have metadata indexed
[l]Academic18%○≥80% from journals/conferences/preprints
[f]Free Access27%○≥80% are freely accessible
[r]References22 refs✓Minimum 10 references required
[w]Words [REQ]1,739✗Minimum 2,000 words for a full research article. Current: 1,739
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18883019
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]35%✗≥60% of references from 2025–2026. Current: 35%
[c]Data Charts0○Original data charts from reproducible analysis (min 2). Current: 0
[g]Code—○Source code available on GitHub
[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (19 × 60%) + Required (2/5 × 30%) + Optional (1/4 × 10%)
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