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AI systems detect gastrointestinal bleeding lesions with high accuracy in retrospective studies and can speed clinician review, but there is scant prospective evidence that these diagnostic gains translate into better patient outcomes or cost-effectiveness, leaving economic value uncertain.
low review_meta semantic_scholar
How Do AI-Assisted Diagnostic Tools Impact Clinical Decision-Making And Patient Outcomes In Acute Gastrointestinal Bleeding Cases? : A Comprehensive Systematic Review · Gafrinda Kautsari, Luluk Aflakah, R. Nurlaili · Fetched Mar 15, 2026
Feature-level AI tools—recommendations, chatbots and comparison engines—lift consumer trust and boost purchase intent for electronics, but privacy fears and cognitive costs blunt the gains; transparent, ethical design is therefore a commercial and regulatory priority.
low correlational semantic_scholar
Role of artificial intelligence on consumer buying behavior: the dual effects of AI-enabled features on decision-making and trust · Rishika Bhojwani, Justin Paul, Rajesh Srivastava · Fetched Mar 15, 2026
LLMs reframe strategic thinking but don't boost foresight: in a randomized 2×2 experiment, both time pressure and LLM assistance changed participants' mental representations in a startup evaluation task, yet neither improved forecasting accuracy—LLM use also increased reported information overload and reduced psychological ownership.
medium rct semantic_scholar
AI-Augmented Strategic Decision-Making Under Time Constraints: An Experimental Study on Mental Representations and Strategic Foresight · Tim Kanis, Justus Emanuel Mann, Jutta Stumpf-Wollersheim · Fetched Mar 15, 2026
Seventeen ways to pair humans with LLMs: the chosen interaction pattern materially alters recommendations, error types and who bears responsibility; in clinical diagnostics different archetypes produce systematic differences in outputs and reliance, implying nontrivial consequences for productivity, liability and adoption.
medium descriptive semantic_scholar
Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making · S. Chappidi, Jatinder Singh, A. Krauze · Fetched Mar 15, 2026
Treat analytics as the interpretive bridge: a five-layer Human-AI decision framework argues that combining AI outputs with business-analytics interpretation, managerial judgment and feedback loops can raise decision quality, reduce algorithmic bias and boost employee confidence; however, the framework is conceptual and requires empirical validation to quantify productivity and labor impacts.
low theoretical semantic_scholar
Designing Human–AI Collaborative Decision Analytics Frameworks to Enhance Managerial Judgment and Organizational Performance · Jannatul Ferdousi, Md Shokran, Md Saiful Islam · Fetched Mar 15, 2026
AI and Big Data materially raise audit productivity and accuracy, expanding coverage and improving fraud detection in finance and tech firms; but the gains depend on stronger governance, model transparency and new auditor skills to avoid overreliance on opaque systems.
medium correlational semantic_scholar
Audit 5.0 and the Digital Transformation of Auditing: The Role of Big Data Analytics and Artificial Intelligence in Enhancing Audit Quality and Decision-Making · Isaiah Osemudiamen Okogun, Victor Apatu, Natasha Mwanandimayi, Rutendo Talent Si... · Fetched Mar 15, 2026
In Egypt one in five jobs are at high automation risk, but only one-quarter of affected workers can realistically switch to safer roles using existing shared skills, meaning three-quarters face a structural mobility barrier and need full reskilling; process-oriented skills are the highest-leverage training target.
medium descriptive semantic_scholar
Graph-Based Analysis of AI-Driven Labor Market Transitions: Evidence from 10,000 Egyptian Jobs and Policy Implications · A. Dawoud, Sondos Samir, Youssef Nasr, A. Habashy, Aya Saleh, Mahmoud Mohamed, O... · Fetched Mar 15, 2026
AI is boosting productivity by automating routine work and augmenting cognitive tasks, but it is also making jobs more precarious and unequal; policymakers must pair reskilling, social insurance and algorithmic governance to capture benefits and protect workers.
n/a review_meta semantic_scholar
ARTIFICIAL INTELLIGENCE, AUTOMATION, AND THE CHANGING PATTERN OF WORK · S. Tripathi, Dr. Prachi Rode · Fetched Mar 15, 2026
India's IT sector will keep hiring strongly to 2026, but the jobs are changing: demand is concentrating in AI, cloud and cybersecurity specialists and mid-career product roles while traditional volume hiring at service firms contracts. Growth is decentralizing into tier‑2 cities, making large-scale reskilling and regional training essential to fill emerging talent gaps.
medium descriptive semantic_scholar
A Study on Hiring Trends In 2026 In India’s Information Technology Sector · Shweta Parkar · Fetched Mar 15, 2026
AI raises demand for advanced technical skills but heightens job insecurity where reskilling and participatory governance are absent; firms that combine targeted human-capital investment with transparent governance see lower resistance and smoother implementation.
medium review_meta semantic_scholar
Artificial intelligence and organisational transformation: technical skills, job insecurity and adoption · Lorena Arranz Lahuerta, María Rosa López Ramajo, Andrés Gandía · Fetched Mar 15, 2026
AI is both an enabler and a disruptor: it spawns new AI-augmented jobs and productivity gains but also displaces routine work and risks widening skill and income gaps; coordinated upskilling, organizational change and regulation are required to secure inclusive benefits.
n/a review_meta semantic_scholar
THE IMPACT OF ARTIFICIAL INTELLIGENCE IN THE WORKPLACE: OPPORTUNITIES, CHALLENGES, AND THE REDEFINITION OF PROFESSIONAL SKILLS · Maiza Fikri, Marta Eriska · Fetched Mar 15, 2026
Generative AI is reshaping tasks, not just jobs: firms that pair AI-enabled, real-time skill assessment with systematic upskilling and organizational change capture efficiency and innovation gains while reducing displacement risks.
low review_meta semantic_scholar
GenAI Role in Redefining Learning and Skilling in Companies · I. Hamburg · Fetched Mar 15, 2026
AI looks capable of displacing much of traditional higher education’s scalable work—lectures, administration and literature synthesis—but not its human core: mentorship, social formation and ethical education. The likely equilibrium is hybrid AI–human providers, modular credentials and major pressure on accreditation, reskilling systems and social-mobility pathways.
low descriptive semantic_scholar
Are Universities Becoming Obsolete in the Age of Artificial Intelligence? · K. Mili, K. Abdelaziz · Fetched Mar 15, 2026
Gig platforms now make up 4.2% of OECD employment and supply 12.8% of participating workers' income, but median hourly pay is about 22% lower than traditional jobs; jurisdictions that reclassified platform workers as employees saw platform labor supply fall 18% and hourly pay for those remaining rise 31%.
high quasi_experimental semantic_scholar
The Gig Economy and Labor Market Restructuring: Platform Work, Worker Classification, and the Future of Employment Relations · V. Han · Fetched Mar 15, 2026
Personality inferred from LinkedIn photos predicts MBA graduates' job matches and pay as strongly as race and education, and workers whose photo-inferred traits fit occupational demands earn higher wages. While the scalable 'Photo Big 5' enables new large-scale research on noncognitive skills, it also risks facilitating covert screening and statistical discrimination.
medium correlational semantic_scholar
AI Personality Extraction from Faces: Labor Market Implications · Marius Guenzel, Shimon Kogan, Marina Niessner, Kelly Shue · Fetched Mar 15, 2026
Treating firms as large, strategic employers changes everything: a macro general-equilibrium approach that embeds micro causal estimates shows employer monopsony can generate large misallocation and welfare losses, and that policies like minimum wages and antitrust can materially improve outcomes in concentrated markets.
n/a theoretical semantic_scholar
Labor Market Power: From Micro Evidence to Macro Consequences · David W. Berger, Kyle F. Herkenhoff, S. Mongey · Fetched Mar 15, 2026
Gaps in what firms and workers believe about the economy drive wage and job volatility: optimistic, slow-learning workers command higher hiring wages in downturns but face greater separation risk later. Faster firm learning calms short-run swings but lengthens transitions, implying AI tools that improve forecasting may reduce volatility while prolonging adjustment.
medium theoretical semantic_scholar
Inaccurate Beliefs and Cyclical Labor Market Dynamics · Jenny Siqin Ding · Fetched Mar 15, 2026
Telling people AI will destroy jobs undermines democratic trust and dampens political engagement: two preregistered, nationally representative experiments (replicated US/UK) and a Europe-wide survey show labor‑replacing frames erode support for democratic institutions and reduce willingness to participate in AI policymaking.
high rct semantic_scholar
Perceiving AI as labor-replacing reduces democratic legitimacy and political engagement · Armin Granulo, Andreas Raff, Christoph Fuchs · Fetched Mar 15, 2026
The shadow digital economy is a structured, marketized criminal ecosystem whose modular labour markets and reusable tooling let illicit activity scale—and AI is lowering costs and quality barriers. Regulators should treat AI‑enabled illicit markets as a systemic policy concern and fold them into financial and consumer‑protection frameworks.
low descriptive semantic_scholar
THE LABOR MARKET IN TERMS OF THE SHADOW DIGITAL ECONOMY · Serghei Ohrimenco, Tatiana Manasterska, Lucia Gujuman · Fetched Mar 15, 2026
Generative AI could reshape many Philippine service jobs, but exposure does not equal inevitable job loss: most exposed roles show complementarities and early adoption has led to task reconfiguration and skills shortages rather than mass layoffs. Without timely skills, governance and social-protection policies, however, the country risks polarization or disruptive displacement by 2025–2035.
medium descriptive semantic_scholar
Labor Futures Under Artificial Intelligence: Scenarios for the Philippine Economy · D. Ligot · Fetched Mar 15, 2026
Party ideology shapes how politicians talk about AI and work: left-leaning parties frame AI as a threat requiring regulation and public retraining, while right-leaning parties stress productivity gains and favor market-based responses; this pattern holds across OECD countries and over time, despite country-level variation.
medium correlational semantic_scholar
Political Ideology, Artificial Intelligence (AI), and Labor Markets: How Political Party Members Perceive AI’s Effects in OECD Countries · Lance Y. Hunter · Fetched Mar 15, 2026
AI innovation has boosted urban jobs across Chinese cities between 2010 and 2023, with the largest gains in manufacturing and services and particularly in southern cities. The effect works partly by increasing economic density, is stronger where city governments pay more digital attention, and spills over to neighbouring municipalities.
medium correlational semantic_scholar
How Does AI Innovation Affect Urban Employment in China? A Mechanistic Analysis Based on Economic Density and Governmental Digital Attention · Xiaoxian Chen, Hairong Zheng, Suchang Yang · Fetched Mar 15, 2026
Nurseries face a sustained U.S. labor shortfall that H‑2A visas only partly fill; automation has inched up about 15 percentage points over 15 years but remains patchy—no task is majority-automated—so public funding and shared-equipment models will be pivotal to develop weather-robust, low-cost AI/robotics for this heterogeneous sector.
medium descriptive semantic_scholar
Current Labor Challenges and Opportunities in Nursery Crops Production · A. LeBude, A. Fulcher, James E. Altland, Margarita Velandia, Zoe Turner, Alicia ... · Fetched Mar 15, 2026
A rigid U.S. green-card system has trapped more than 1.8 million skilled workers and their families, concentrating employer power and suppressing wages by an estimated 12.2%; phasing out the per-country cap, raising the annual ceiling, exempting dependents, and recapturing unused visas would free hundreds of thousands of slots and sharply reduce waits.
medium descriptive semantic_scholar
The United States' Employment-Based Immigration System: An Analysis of H-1B Worker Backlogs, Policy Shortcomings, and Reform Pathways · A. Balamurugan · Fetched Mar 15, 2026
Rapid, multi‑factor AI adoption will likely raise productivity but also concentrate job losses and widen inequality unless governments and firms adopt proactive, targeted policies; redistribution, reskilling, and governance measures are urgent to manage the transition.
medium review_meta semantic_scholar
A Study on Work-Life Balance of Women Employees in the IT Sector: Exploring the Effects of Artificial Intelligence on Job Displacement · N. Rajitha, Dr. K. Venugopala Rao · Fetched Mar 15, 2026