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Teaching startups how to reorganize around AI nearly doubles short-run revenue and raises customer acquisition by 18%, driven by a 44% rise in discovered AI use cases; growth occurs without proportional increases in labor and with lower external funding needs.
high rct Full text manual
Mapping AI into Production: A Field Experiment on Firm Performance · Hyunjin Kim, Dahyeon Kim, Rembrand Koning · Mar 30, 2026
A simple revealed-preference model shows AI choices can be decomposed into human and machine preference components, and the degree of alignment can be recovered from choice-data; observing human choices makes recovery trivial, but even AI-only data suffices under generic menu variation.
n/a theoretical Full text arxiv
A Revealed Preference Framework for AI Alignment · Elchin Suleymanov · Mar 29, 2026
AI that simply streamlines clinical tasks will not by itself ease hospital capacity pressures; only tools or procurement that change who bears risk or make outcomes more observable can alter entrenched system behaviour, so leaders must pair AI with governance and incentive reform.
low theoretical Full text arxiv
Incentives, Equilibria, and the Limits of Healthcare AI: A Game-Theoretic Perspective · Ari Ercole · Mar 29, 2026
AI is likely to rewire how jobs are created — moving from employer-dominated hiring to a decentralized ecosystem where individuals leverage AI and platforms to generate work; policy and education should pivot toward cultivating human–AI collaboration and creative skills.
low theoretical Full text arxiv
AI Civilization and the Transformation of Work · Dongsoo Han · Mar 29, 2026
Companies that treat AI as a strategic operating layer — deploying agentic workflows and localized models — can accelerate innovation and expand internationally without traditional physical footprints. This advantage, however, only materializes when firms transition from pilot projects to integrated, governed AI‑first business models.
n/a descriptive Full text openalex
The AI Advantage: Strategic Innovation and Global Expansion in the Digital Era · Yashaswini Bergal, Rupali Dilip Taru · Mar 29, 2026
Indonesia's labor law is unprepared for AI-driven disruption: current statutes emphasize post-termination compensation but lack clear duties for retraining or mechanisms to share AI-driven productivity gains, prompting calls for legal reform to embed lifelong learning, social protection, and fiscal instruments such as automation taxes.
n/a descriptive Full text openalex
Reformasi Hukum Ketenagakerjaan di Era Artificial Intelligence: Perlindungan Pekerja, Reskilling, dan Model Kompensasi Inovatif di Indonesia · Muhammad Urifianto Ardhan, Gunardi Lie · Mar 29, 2026
Kenyan commercial banks that report greater digital and AI adoption also show higher market share, return on equity and customer satisfaction; however, the result is based on cross-sectional correlations from executive surveys rather than a causal research design.
low correlational Full text openalex
Technology Innovation Strategy and the Competitiveness of Kenyan Commercial Banks · Brighton Kithendu Mwanzia, Peter Ngatia, Robert Gichira, Teresia Kyalo · Mar 29, 2026
A 'novelty bottleneck' limits how much AI can shrink human effort: when any fraction of a task requires genuinely novel human judgment, that serial component forces human effort to scale linearly with task size, so stronger agents cut costs but do not change the fundamental scaling. Consequently, organizations can shorten wall-clock time via parallel teams and need fewer humans as agents improve, but aggregate human effort remains bounded—making AI more effective at exploiting existing knowledge than at accelerating frontier research.
n/a theoretical Full text arxiv
The Novelty Bottleneck: A Framework for Understanding Human Effort Scaling in AI-Assisted Work · Jacky Liang · Mar 28, 2026
EpochX proposes treating humans and AI agents as peers in a credits-native marketplace that turns every completed task into reusable assets—skills, workflows, and execution traces—so work can be delegated, verified and monetized at scale. By coupling an explicit asset dependency graph with a credit settlement mechanism, the design aims to make durable human–agent collaboration economically viable despite real compute costs.
n/a theoretical Full text arxiv
EpochX: Building the Infrastructure for an Emergent Agent Civilization · Huacan Wang, Chaofa Yuan, Xialie Zhuang, Tu Hu, Shuo Zhang, Jun Han, Shi Wei, Da... · Mar 28, 2026
An AI multi-agent system cuts TensorFlow-to-JAX migration time roughly 6–8x on commercial Google workloads by combining planners, orchestrators and AI judges; the approach speeds model framework transitions but rests on proprietary tooling and case selection.
medium descriptive Full text arxiv
A Multi-agent AI System for Deep Learning Model Migration from TensorFlow to JAX · Stoyan Nikolov, Bernhard Konrad, Moritz Gronbach, Niket Kumar, Ann Yan, Varun Si... · Mar 28, 2026
AI delivers bigger growth payoffs where institutions adapt: countries with stronger institutions, higher digital capacity and R&D intensity see superior productivity performance, suggesting AI's benefits depend on institutional and organizational innovation.
low theoretical Full text semantic_scholar
Artificial intelligence, institutional innovation and economic growth: A conceptual framework · Zehra Doğan Çalışkan · Fetched Mar 28, 2026
AI-powered, multi-source horizon scanning classifies technologies into emerging, developing and mature stages and matches each stage to tailored policy tools—R&D funding, regulatory sandboxes, procurement incentives and tax relief. Expert Delphi validation and AHP weighting increase prioritization confidence, though outcomes depend on data coverage and expert selection.
low descriptive Summary semantic_scholar
Emerging Technologies Based on Large AI Models and the Design of Support Policies: Patent Mining and Industry Trends · Yiwei Zhang, Shanghai Mu, Baitong Liu · Fetched Mar 28, 2026
AI sharpens ESG scoring and enables real‑time tracking of environmental and social risks, but gains are uneven: poor data, algorithmic bias and weak governance hamper reliable, trustworthy sustainable finance.
medium review_meta Full text openalex
Artificial intelligence in sustainable finance and Environmental, Social, and Governance (ESG) performance: A review · Vibhavari Prasad Mane · Mar 28, 2026
AI and platforms reshape how value is realized but do not overturn Marx’s core insight that living labor creates new value; new institutional tools are needed to redistribute surplus in platform economies.
n/a theoretical Full text openalex
The labor theory of value in the era of artificial intelligence and digital platforms: challenges, innovations, and new mechanisms · Fenglin Zhang · Mar 28, 2026
Closed AI models often undermine scientific inference by hiding construction and deployment details, making results hard to interpret, replicate, or generalize; researchers should explicitly document threats to inference, the mitigation steps taken, and why a given (closed or open) model was chosen.
n/a theoretical Full text arxiv
How Open Must Language Models be to Enable Reliable Scientific Inference? · James A. Michaelov, Catherine Arnett, Tyler A. Chang, Pamela D. Rivière, Samuel ... · Mar 27, 2026
An expensive text-only ‘manager’ can steer a cheaper code-executing ‘worker’ to match a strong single model’s performance on software-engineering tasks while cutting expensive-token use substantially; the benefit depends on a genuine capability gap and structured, active direction rather than passive review.
medium descriptive Full text arxiv
Can AI Models Direct Each Other? Organizational Structure as a Probe into Training Limitations · Rui Liu · Mar 27, 2026
An ASR system trained on field recordings of Ikema achieves around 15% character error rate and materially speeds up human transcription, cutting labor time and reducing cognitive load; this suggests practical AI-assisted pathways for scaling documentation of severely endangered languages.
medium quasi_experimental Full text arxiv
Automatic Speech Recognition for Documenting Endangered Languages: Case Study of Ikema Miyakoan · Chihiro Taguchi, Yukinori Takubo, David Chiang · Mar 27, 2026
AI is reshaping Cambodia's labour market: low-skilled workers face disproportionate displacement while new industries create employment and spike demand for reskilling; policymakers must invest in targeted training and education.
low correlational Summary semantic_scholar
Navigating AI‐Induced Job Displacement and Skill Demands: Insights From an Emerging Market Perspective · Bora Ly, Romny Ly, Sokhom Ma · Fetched Mar 27, 2026
AI code reviewers currently catch only a fraction of issues human experts find — top models detect 15–31% of flagged problems — and giving them more file-level context often makes performance worse, suggesting attention dilution in long prompts.
high descriptive Full text arxiv
SWE-PRBench: Benchmarking AI Code Review Quality Against Pull Request Feedback · Deepak Kumar · Mar 27, 2026
Generative AI boosts customer-service throughput and agent productivity, especially by automating routine queries and drafting replies, but quality failures and trust risks mean it complements rather than replaces humans; hybrid human-AI systems with strong governance produce the best results.
medium review_meta Summary openalex
The Effectiveness of ChatGPT in Customer Service and Communication Management (Nano Review) · Horn Sarun · Mar 27, 2026
Generative AI widens the space of feasible ideas and speeds early-stage R&D, but gains crystallize only when humans vet, curate and implement outputs; unchecked use risks low-quality, biased, or risky innovations.
medium review_meta Summary openalex
ChatGPT as an Innovative Tool for Idea Generation and Problem-Solving: Nano Review · Horn Sarun · Mar 27, 2026
Generative AI floods teams with ideas and structures early-stage problem solving but seldom substitutes for human judgment; firms that combine high-volume generation with expert curation will capture most of the economic upside, while policy should prioritize training and accountability.
medium review_meta Summary openalex
ChatGPT as an Innovative Tool for Idea Generation and Problem-Solving: Nano Review · Horn Sarun · Mar 27, 2026
Generative AI can cut costs and scale personalized customer service, but hallucinations, empathy shortfalls and integration hurdles make full automation unwise; firms capture the most value through hybrid human–AI systems with transparent AI use, clear escalation paths and continuous oversight.
low review_meta Summary openalex
The Effectiveness of ChatGPT in Customer Service and Communication Management (Nano Review) · Horn Sarun · Mar 27, 2026
Behavioral frictions—miscalibrated trust, cognitive overload, and weak governance—help explain why many corporate AI pilots never reach production, with coding assistants a high‑visibility example. The paper offers a practical diagnostic framework for managers to detect disengagement and guide institutionalization, alongside a research agenda for mixed‑methods validation.
n/a review_meta Full text openalex
Behavioral Factors as Determinants of Successful Scaling of Artificial Intelligence Pilot Projects in a Corporate Environment · Aneesha Sharma · Mar 27, 2026
China's AI collaboration network grows through triangle-closing and 'rich-get-richer' dynamics and is driven more by universities and research institutes than by firms; notably, organizations seek complementary technological expertise rather than similar tech, while geographic, cultural and institutional closeness still helps form ties.
medium correlational Full text openalex
The evolutionary mechanism of artificial intelligence industry collaboration networks: evidence from China · Jianlin Lyu, Bin Hu, Wenrong Lyu · Mar 27, 2026