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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 934 sourced gains and 771 sourced problems, averaging 68 and 66 on the index score. Readers have logged 22 public signals on the Pulse, which is kept apart and never counted as evidence.

934 gains
771 problems
Every sourced claim in the Index, one square each, shaded by the strength of its evidence. High Moderate Emerging

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

1,705 results
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AI gains · 934

249
EducationStableHigh evidence · 2 sources

Chinese high school EFL students showed a significant time effect and three-phase trajectory in writing complexity, accuracy and fluency during GenAI-assisted continuation task instruction.

In a 9-week repeated-measures study, 25 Chinese high school EFL students completed five continuation writing tasks at two-week intervals while receiving GenAI-assisted instruction, producing 125 samples analyzed with generalized estimating equation analysis under Dynamic Systems Theory.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
99
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0159

70Index score
250
ScienceStableHigh evidence · 2 sources

Local journalists in Germany reported willingness to use AI-supported tools to process data and discover stories to help maintain efficiency.

By April 13 2026, researchers reported results from 21 semi-structured interviews with local journalists in Germany examining use of data and AI, challenges in interaction, and perceived opportunities for AI-supported reporting systems.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
99
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0156

70Index score
251
ScienceStableHigh evidence · 5 sources

AI systems offer potential for greater efficiency when creating sustainable product designs.

By July 2026, researchers reported a series of studies showing that when products were described as designed by AI, consumers rated them as less sustainable than when the same products were described as designed by humans, despite AI's efficiency potential.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0140

70Index score
252
BusinessStableHigh evidence · 5 sources

In 19 G20 countries from 2005 to 2023, AI-related innovation increased economic growth, with larger gains when paired with financial innovation, trade openness, and government final consumption expenditure.

A peer-reviewed study of 19 G20 countries from 2005 to 2023 used Generalized Method of Moments models to estimate how AI-related innovation relates to economic growth. The linear specification found a positive and significant effect, while the quadratic specification found a negative quadratic term indicating a concave pattern.

Impact 30%
49
Evidence 25%
100
Scale 20%
35
Confidence 15%
100
Recency 10%
83

Updated Jul 13, 2026 · TRV-2026-0139

70Index score

AI problems · 771

249
EducationStableModerate evidence · 1 source

Educators and students report concern about misuse of GenAI in education and a lack of classroom and institutional preparedness to manage it in the writing process.

In a November 2023 peer-reviewed study, researchers surveyed 68 educators and 158 university students about when generative AI should be used in academic writing. Participants reviewed ChatGPT prompts and outputs for brainstorming, outlining, writing, revising, feedback, and evaluating, and rated acceptability for student versus teacher use.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 7, 2026 · TRV-2026-1012

68Index score
250
HealthStableModerate evidence · 1 source

AI-driven personalized nutrition is limited by algorithmic bias, poor generalizability, and data privacy risks that prevent fair and reliable clinical application.

By October 2025, peer-reviewed literature described AI as a key enabler of personalized nutrition, using machine learning to analyze multiomics datasets and guide microbiome-based dietary interventions for obesity, diabetes, cardiovascular and gastrointestinal disorders with support from digital twins and health knowledge graphs.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 7, 2026 · TRV-2026-1011

68Index score
251
HealthStableModerate evidence · 1 source

Model generalizability for non-displaced Type I fractures is limited by small sample size, and pooled evidence remains preliminary with substantial heterogeneity across studies.

Researchers developed a YOLOv11 Nano model to detect pediatric supracondylar fractures and classify Gartland subtypes I-III on 1082 elbow radiographs from 2004-2018, testing three patient-level validation schemes and adding bone segmentation and explainable AI visualizations. They also conducted a PRISMA-DTA meta-analysis of four studies totaling 2232 images comparing CNN and radiomics approaches.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 7, 2026 · TRV-2026-1008

68Index score
252
EducationStableModerate evidence · 1 source

Learner survey showed mixed perceptions with half of respondents reporting technical complexity did not match their training level, prompting requests for a more introductory primer and greater clinical emphasis.

Between 2023 and 2025, educators at a single academic institution integrated an 8-hour interactive AI rotation into diagnostic radiology residency, combining didactics with lab modules on convolution, radiomics, machine learning, deep learning, evaluation, bias, and clinical cases for 27 residents across three cohorts.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
93

Updated Sep 7, 2026 · TRV-2026-1007

68Index score

Recomputed live from the record · Oct 12, 2026, 7:31 AM