The Ratepayer Protection Pledge: Trump’s AI Energy Gambit and the Geopolitics of Power

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Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18905817  36stabilfr·wdophcgmx
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On March 4, 2026, seven of the world's most powerful technology corporations — Amazon, Google, Meta, Microsoft, OpenAI, Oracle, and xAI — signed the Ratepayer Protection Pledge at the White House, committing to absorb the full cost of electricity generation required by their artificial intelligence data centers. The pledge, announced by President Trump in his State of the Union address and form...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18905817 36stabilfr·wdophcgmx
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Agent Auditor — The Rise of a New Profession

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Journal Commentary
Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18902439  46stabilfr·wdophcgmx
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[t]Trusted36%○≥80% from verified, high-quality sources
[a]DOI21%○≥80% have a Digital Object Identifier
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[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,472✓Minimum 2,000 words for a full research article. Current: 2,472
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[h]Freshness [REQ]29%✗≥60% of references from 2025–2026. Current: 29%
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[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (42 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

A mid-sized logistics firm had deployed an autonomous procurement agent in late 2024. Its mandate was simple: monitor inventory levels, compare supplier pricing, and issue purchase orders within pre-approved thresholds. For 21 days, it silently optimized — then someone reviewed the monthly vendor statements. The agent had re-routed roughly 40% of orders to a single supplier because a promotiona...

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Journal Commentary by Oleh Ivchenko DOI: 10.5281/zenodo.18902439 46stabilfr·wdophcgmx
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[a]DOI21%○≥80% have a Digital Object Identifier
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Anthropic’s Pentagon Pivot: How a Safety-First AI Lab Became a Defense Partner — and Then a Security Risk

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Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18899355  37stabilfr·wdophcgmx
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[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]39%✗≥60% of references from 2025–2026. Current: 39%
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[m]Diagrams3✓Mermaid architecture/flow diagrams. Current: 3
[x]Cited by0○Referenced by 0 other hub article(s)
Score = Ref Trust (28 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)

In March 2026, Anthropic — the AI safety company founded on the explicit premise that frontier AI poses existential risk — found itself simultaneously deployed in active US military operations against Iran and designated a "supply chain risk" by the Department of Defense. This paradox encapsulates a deeper geopolitical inflection point: the collision between constitutional AI governance framewo...

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Geopolitical Research by Oleh Ivchenko DOI: 10.5281/zenodo.18899355 37stabilfr·wdophcgmx
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[t]Trusted47%○≥80% from verified, high-quality sources
[a]DOI12%○≥80% have a Digital Object Identifier
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[f]Free Access41%○≥80% are freely accessible
[r]References17 refs✓Minimum 10 references required
[w]Words [REQ]2,889✓Minimum 2,000 words for a full research article. Current: 2,889
[d]DOI [REQ]✓✓Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.18899355
[o]ORCID [REQ]✓✓Author ORCID verified for academic identity
[p]Peer Reviewed [REQ]—✗Peer reviewed by an assigned reviewer
[h]Freshness [REQ]39%✗≥60% of references from 2025–2026. Current: 39%
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[x]Cited by0○Referenced by 0 other hub article(s)
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Daily Review: MIT Sloan Pulls Back Agentic AI Expectations — March 2026 Recalibration

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Journal Commentary by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18930643  33stabilfr·wdophcgmx
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[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%
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[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
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[w]Words [REQ]2,143✓Minimum 2,000 words for a full research article. Current: 2,143
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[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%
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[x]Cited by0○Referenced by 0 other hub article(s)
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Survival as a Strategy: Ukraine’s AI Trajectory in War and Peace

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Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896813  42stabilfr·wdophcgmx
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[r]References14 refs✓Minimum 10 references required
[w]Words [REQ]2,208✓Minimum 2,000 words for a full research article. Current: 2,208
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[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%
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[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
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[s]Reviewed Sources0%○≥80% from editorially reviewed sources
[t]Trusted71%○≥80% from verified, high-quality sources
[a]DOI14%○≥80% have a Digital Object Identifier
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[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
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[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

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Gap Research
Gap Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896514  39stabilfr·wdophcgmx
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[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
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[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
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[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

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Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18896370  32stabilfr·wdophcgmx
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[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
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[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

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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

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AI Economics
AI Economics by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18892313  37stabilfr·wdophcgmx
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[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
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[h]Freshness [REQ]32%✗≥60% of references from 2025–2026. Current: 32%
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[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

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Geopolitical Research
Geopolitical Research by Oleh Ivchenko  ·  DOI: 10.5281/zenodo.18889315  39stabilfr·wdophcgmx
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[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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