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Governance frays as decision systems grow smarter: rule engines support full accountability, hybrids only partial recovery, classical ML offers scant traceability, and agentic AI creates structural breaks — decision diffusion, evidence fragmentation, and responsibility ambiguity — that existing governance frameworks cannot reliably bridge.
n/a theoretical arxiv
Governed Auditable Decisioning Under Uncertainty: Synthesis and Agentic Extension · Oleg Solozobov · Apr 21, 2026
Asset managers now oversee more capital per worker: AUM per employee rose sharply during the indexing wave and continued to climb in the AI/automation era, indicating larger-scale capital management rather than proving technology caused the change.
low descriptive arxiv
From Clerks to Agentic-AI: How will Technology Change Labor Market in Finance? · Lu Yu, Xiang Li · Apr 21, 2026
Digital trade cuts emissions only with the right complements: global value chain participation lowers CO2, but digital trade generates significant decarbonization only alongside AI-enabled logistics and carbon prices above about $40/tonne, with renewable energy and strict regulation further strengthening the effect.
medium correlational openalex
From Digital Trade to Climate Gains: How Global Value Chains and Carbon Pricing Drive CO2 Reductions in OECD Economies · Nour A. J. Azam, Yao Liu, Sajal Kabiraj, Mohammed Azam, Omar Abu Risha · Apr 21, 2026
Stronger AI capabilities correlate with better competitive intelligence in Zimbabwean firms, and that enhanced CI is linked to higher corporate growth and improved sustainability; interviews suggest AI only delivers strategic value when embedded in CI routines.
low correlational openalex
Harnessing Competitive Intelligence and AI for Corporate Growth and Sustainability · Alexander Maune · Apr 21, 2026
Generative AI is already used by roughly one in eight European workers, concentrated in exposed occupations and more digitalised countries; yet early adopters show no clear evidence that AI has begun to reshape workers' task content.
medium quasi_experimental arxiv
Generative AI at Work: From Exposure to Adoption across 35 European Countries · Golo Henseke · Apr 20, 2026
In a 22-person lab experiment, GitHub Copilot raised immediate coding performance and reduced workload compared with human pair partners, but human partners produced more positive emotional experiences and possibly better one-week retention.
medium rct arxiv
Fast and Forgettable: A Controlled Study of Novices' Performance, Learning, Workload, and Emotion in AI-Assisted and Human Pair Programming Paradigms · Nicholas Gardella, James Prather, Juho Leinonen, Paul Denny, Raymond Pettit, Sar... · Apr 20, 2026
Language-model traders replicate human-like mispricing and trading patterns in simulated auctions, and simple prompt tweaks reliably amplify or damp market bubbles; the result shows policymakers and designers can causally steer AI-driven market behavior but warns findings are model- and setting-specific.
medium rct arxiv
Dissecting AI Trading: Behavioral Finance and Market Bubbles · Shumiao Ouyang, Pengfei Sui · Apr 20, 2026
An AI agent layer paired with a live digital twin automates network change validation, detecting all injected errors and delivering 92–96% diagnostic coverage while cutting validation time to under seven minutes in the authors' tests; results are promising but rely on synthetic scenarios and incidents from a single operator.
medium descriptive arxiv
Aether: Network Validation Using Agentic AI and Digital Twin · Jordan Auge, Sam Betts, Giovanna Carofiglio, Giulio Grassi, Martin Gysi, John Ke... · Apr 20, 2026
Advanced AI molecular representations and generative models promise to speed drug discovery by predicting PD and toxicity earlier and enabling de novo design; but most demonstrated gains are in silico or preclinical and depend critically on data quality, 3D fidelity and still-maturing quantum approaches.
n/a review_meta semantic_scholar
Artificial intelligence in drug discovery from advanced molecular representation to pipeline applications · Xiaoyu Zhou, Weijing Tao · Fetched Apr 20, 2026
Policy-backed AI deployment strengthens manufacturing supply-chain resilience in China: firms tied to the National AI Pioneer Zone exhibit better recoverability and adaptability after shocks, driven mainly by gains in total factor productivity and continuous technological innovation, with the biggest benefits for large, private and agile firms.
medium quasi_experimental semantic_scholar
The impact mechanism of artificial intelligence on the resilience of manufacturing supply chains and empirical examination · Jianhua Zhu, Qi Zheng · Fetched Apr 20, 2026
Hybrid AI tools materially speed and de-bias diplomatic decision-making: controlled Human-in-the-Loop experiments and simulated UN, EU and AU cases show hybrid teams reached agreement 23% faster and exhibited a 17% reduction in measured cognitive bias, though implementation raises accountability and sovereignty risks.
medium quasi_experimental semantic_scholar
Strategic Cognition and Artificial Diplomacy: Designing Human-AI Collaboration Architectures for International Negotiation Environments · Plamen Teodosiev, S. Markov · Fetched Apr 20, 2026
A World Bank–sourced AI evidence engine helped policy and development experts reclaim roughly 2.4–3.9 hours per week by producing verifiable syntheses and declining unsupported queries; the result comes from an observational DiD analysis of in-the-wild use and mixed-methods triangulation, so selection and measurement caveats remain.
medium quasi_experimental arxiv
Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research · Nimisha Karnatak, Mohamad Chatila, Daniel Alejandro Pinzón Hernández, Reza Yazda... · Apr 20, 2026
AI can automate cognitive tasks at scale, but institutions will decide who wins and who loses. Labor laws, education systems and corporate governance, not technological inevitability, will determine the scale of displacement and the distribution of gains; policy tools such as UBI, portable benefits, retraining and taxation will shape outcomes.
medium review_meta openalex
Artificial Intelligence And The Transformation of Labor Markets · Sabu P J · Apr 20, 2026
Enterprises should treat LLM adoption as a phased continuum: begin with third‑party APIs for speed and predictable costs, then evolve toward hybrid or self-hosted setups as differentiation needs and scale justify higher engineering and data investments; a document-processing case (the Bills Converter) favored a closed-source API first for pragmatic cost, time-to-market and data constraints.
low descriptive openalex
Buy Or Build? A Practitioner’s Framework for Large Language Model Integration in Enterprise Systems · Dr. Khaled EL Tannir · Apr 20, 2026
AI's infrastructural consolidation is creating geocognitive power poles; full-stack sovereignty is unrealistic, so states should build institutional capacity to govern structured dependence rather than chase autonomy. The paper proposes a 'Governed Interdependence' paradigm and a Governance Membrane (with compliance and dependence indices) as a practical framework for managing asymmetric AI infrastructures.
n/a theoretical openalex
Digital Sovereignty in the Global Cognitive-Informational Order: Geocognitive Power Poles and Governed Interdependence · · Apr 20, 2026
AI techniques often outperform traditional risk models in emerging-market finance by up to around 35%, but the evidence base is patchy and seldom validated in real-world deployments; gaps in explainability, regulatory alignment and context-specific evaluation risk undermining safe, scalable adoption.
medium review_meta openalex
AI-Driven Financial Risk Management and Decision Intelligence in Emerging Markets: A Scoping Review · Dr. Shankar Subramanian Iyer, Rajesh Arora, Dr Divakar G.M., Dr Brinitha Raji, P... · Apr 20, 2026
German industrial firms' M&A spree has stitched digital capabilities into a dense web of interconnections—'Industry 4.0 Inc.'—strengthening ties among incumbents and encouraging coordination over atomized competition.
medium descriptive openalex
Industry 4.0 Inc.—Mergers and acquisitions and the digital transformation of German industry · Michael Schwan, Christine Trampusch, Jonas L. Horn · Apr 20, 2026
AI-assisted text-to-model authoring halved expert effort to build structured procedural skill models for an online AI course, producing valid and reproducible schemas; but the results come from 23 models in one graduate-level course and still require expert oversight.
medium descriptive arxiv
Developing Models of Procedural Skills using an AI-assisted Text-to-Model Approach · Rahul K. Dass, Shubham Puri, Arpit Khandelwal, Xiao Jin, Ashok K. Goel · Apr 19, 2026
Global AI research has coalesced around two poles centered on the US and China, with the UK and Germany tied chiefly to the US while many European countries bridge both; the fact that developing countries tend to integrate mainly with China underscores Beijing’s expanding influence and complicates efforts to build unified international AI governance.
medium descriptive arxiv
Polarization and Integration in Global AI Research · Luca Gallo, Riccardo Di Clemente, Balázs Lengyel · Apr 19, 2026
Inference-layer gatekeepers can subtly shut out rivals by degrading latency, throughput or routing; the model finds discrimination grows when AI-quality matters more and downstream margins are high, and a four-pillared 'Neutral Inference' policy is proposed to restore parity.
n/a theoretical arxiv
The Inference Bottleneck: A Formal Model of Vertical Foreclosure in AI Markets · Gaston Besanson · Apr 19, 2026
A 'continuity layer' that preserves a model's accumulated understanding — not bigger models or larger contexts — is the missing infrastructure for persistent AI competence, the authors argue; they propose a concrete storage primitive and an evaluation framework and insist that governance must be embedded in the architecture.
n/a theoretical arxiv
The Continuity Layer: Why Intelligence Needs an Architecture for What It Carries Forward · Samuel Sameer Tanguturi · Apr 19, 2026
Firms that adopt advanced AI record average labor productivity gains of 5–12% within a few years, but the benefits disproportionately accrue to high-income countries (8–12%) while emerging economies see smaller gains (2–6%) and larger short-term losses in routine jobs; outcomes hinge on digital infrastructure, skills and regulation.
medium review_meta openalex
S-TCO: A Sustainable Teacher Context Ontology for Educational Support Systems · Nader N. Nashed · Apr 19, 2026
There is no single AI policy that guarantees regional industrial competitiveness in China; provinces achieve sustainable gains through one of three distinct policy mixes that consistently include R&D support, talent development and application demonstration.
low correlational openalex
How Can Artificial Intelligence Policies Promote the Sustainable Enhancement of Regional Science and Technology Industrial Competitiveness? A Fuzzy-Set Qualitative Comparative Analysis (fsQCA) of Policy Instruments · Xueqing Pei, Chunlin Li · Apr 19, 2026
Blocking open-weight AI risks concentrating capability and pushing development underground; chip-level attestation and a multilateral safeguards regime offer a pragmatic alternative to a binary openness-or-restriction choice.
n/a theoretical openalex
The Open-Weight Paradox: Why Restricting Access to AI Models May Undermine the Safety It Seeks to Protect · Vinicius Santana Gomes · Apr 19, 2026
Multimodal AI will make typing a specialist relic rather than the default of knowledge work, turning employees from keystroke-producers into adversarial verifiers and forcing firms to redesign interfaces and workflows around verification.
low theoretical arxiv
The Instrumental Dissolution of Typing: Why AI Challenges the Keyboard Era in Knowledge Work · Wei Roy Hua · Apr 18, 2026