The Index

What the evidence says.What the public feels.

Ranks distinct AI gain and problem claims from the published record. Scores reward impact, independent source strength, scale, confidence, and recency.

AI gains · 778

GainPolicy· Stable· Evidence: Moderate (1 source)

The HIPSTer ontological framework advanced multilingual hybrid-threat handling to TRL-4 validation using high-efficiency semantic vectors and formal reasoning.

Published May 9, 2026, this scoping review assessed OSINT, SOCMINT, and NLP tools for hybrid-threat detection against operational requirements drawn from Russian and Chinese military tradecraft and European operational experience. It found individual disciplines technically advanced but defensive systems siloed, identifying a persistent semantic gap in cross-domain and cross-language reasoning.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0178

GainLabor· Stable· Evidence: Moderate (1 source)

Generative AI can increase meaningfulness for creatives by democratizing access to creative tools and consolidating tasks.

This peer-reviewed paper examines how recent advances in Generative AI are transforming creative industries by affecting the meaningfulness of work. It applies a framework covering task integrity, skill cultivation, task significance, autonomy, and belongingness to specialist, embedded, and support creatives.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0174

GainLabor· Stable· Evidence: Moderate (1 source)

AI use in workforce analytics enables proactive and predictive decision-making about employees.

A peer-reviewed study published May 16, 2026 developed and validated a Triple-Intelligence Framework for workforce analytics that combines AI intelligence for pattern detection, human intelligence for interpretation and ethics, and organizational intelligence for governance, based on a 2017-2025 literature review.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0173

GainEducation· Stable· Evidence: Moderate (1 source)

Deployment of Magic Note AI-assisted recording in a Scottish Local Authority social work department provided administrative relief and efficiency for practitioners.

Researchers analyzed baseline evaluation data from the rollout of Magic Note, an AI-assisted recording tool, in a Scottish Local Authority social work department, involving surveys, focus groups and free-text responses from practitioners.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0172

GainClimate· Stable· Evidence: Moderate (1 source)

Hybrid framework using Binary iHow for feature selection and iHow for hyperparameter tuning of a Multi-Scale Attention Network reduced forecasting error for wind and solar generation and improved computational scalability for smart-grid management.

Researchers developed a hybrid deep learning-optimization framework for renewable forecasting that pairs a Multi-Scale Attention Network with cognitively inspired metaheuristics. The Binary iHow algorithm selects features and the continuous iHow algorithm tunes hyperparameters, targeting high-dimensional inputs and sensitivity issues in wind and solar time series.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0168

GainScience· Stable· Evidence: Moderate (1 source)

Integrating Shuffled Frog Leaping Algorithm optimization with Boosted Trees and QSVM classifiers improved discrimination of argillic, phyllic, propylitic and iron oxide alteration zones from ASTER and Sentinel-2 data, raising AUC and achieving strong field validation.

Researchers developed a metaheuristic-optimized machine learning workflow that integrates Boosted Trees and Quadratic Support Vector Machines with the Shuffled Frog Leaping Algorithm to map hydrothermal alteration from multispectral satellite imagery. Tested in the Shahr-e-Babak district of Iran's Urumieh-Dokhtar Magmatic Belt, the method used ASTER and Sentinel-2 bands to discriminate argillic, phyllic, propylitic and iron oxide zones.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0167

GainHealth· Stable· Evidence: Moderate (1 source)

Agentic AI systems demonstrated autonomous, goal-directed behavior with high accuracy in cancer diagnosis, treatment planning, alert generation, coaching, and workflow optimization across emergency medicine, oncology, radiology, and rehabilitation pilots.

A March 2026 scoping review in npj Digital Medicine examined agentic AI in healthcare, defined as systems capable of operating autonomously to achieve defined clinical goals. Across five databases, seven studies met criteria, spanning emergency medicine, oncology, radiology, and rehabilitation, with features including autonomous operation, goal-directed behavior, action initiation, and multi-agent collaboration.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0166

GainBusiness· Stable· Evidence: Moderate (1 source)

Provincial panel analysis for 2020-2023 found digitalization significantly increased labor productivity for micro, small and medium enterprises in Indonesia.

A peer-reviewed study of Indonesian provinces from 2020 to 2023 examined how digitalization and AI adoption relate to MSME labor productivity, using fixed-effects panel estimation and machine learning methods and framing results with Ibn Khaldun's institutional ideas.

Impact 30%49

Evidence 25%95

Scale 20%35

Confidence 15%87

Recency 10%88

Updated Jul 13, 2026 · TRV-2026-0165

AI problems · 624

No problems on this page.

Recomputed live from the record · Sep 14, 2026, 1:57 PM