The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 929 sourced gains and 770 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.

929 gains

770 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.

Download every matching row, not just this page:Export CSV Export JSON

AI gains · 929

BusinessStableModerate evidence · 1 source

Integration of smart sensors with IoT and AI has transformed agricultural data collection and use to optimize yield, conserve resources and improve farm efficiency.

A January 2026 review in Sensors examined smart sensor technologies in precision farming, describing how integration with IoT and AI has changed how agricultural data is collected, analyzed and utilized to optimize yield and conserve resources.

Impact 30%: 49
Evidence 25%: 95
Scale 20%: 85
Confidence 15%: 87
Recency 10%: 84

Updated Jul 20, 2026 · TRV-2026-0399

77Index score

PolicyStableModerate evidence · 1 source

AI-powered consumer contracts increase efficiency by enabling automated drafting, personalization, and enforcement at scale with limited human intervention.

The source describes how artificial intelligence is used to automate the drafting, personalization, and enforcement of consumer contracts at scale with limited human intervention, and presents a comparative legal analysis of how jurisdictions including the EU, US, Canada, Brazil, and Asia-Pacific are responding.

Impact 30%: 49
Evidence 25%: 95
Scale 20%: 85
Confidence 15%: 87
Recency 10%: 84

Updated Jul 20, 2026 · TRV-2026-0395

77Index score

LaborStableModerate evidence · 1 source

Researchers tested GnAI for literary fiction editing by comparing AI edits to professional editor edits across multiple drafts and stages to explore editorial possibilities.

In a July 2024 peer-reviewed paper, researchers examined generative AI in book publishing by using a published story as a test case to compare edits made by GnAI with edits made by professional editors over multiple drafts and at different stages of editorial development. The work focuses on literary fiction editing within trade publishing.

Impact 30%: 49
Evidence 25%: 95
Scale 20%: 85
Confidence 15%: 87
Recency 10%: 84

Updated Jul 20, 2026 · TRV-2026-0389

77Index score

LifestyleStableModerate evidence · 1 source

AI use in the food industry enhances food quality and security and enables more transparent supply chain management while reducing human intervention and effort.

As of its September 2024 publication, this review describes how the food industry uses AI, including ANN and CNN, to detect quality of food and agricultural products and to pursue more transparent supply chain management with reduced human intervention.

Impact 30%: 49
Evidence 25%: 95
Scale 20%: 85
Confidence 15%: 87
Recency 10%: 84

Updated Jul 20, 2026 · TRV-2026-0363

77Index score

AI problems · 770

ScienceStableHigh evidence · 5 sources

AI progress is blocked because industry data remains in isolated islands and privacy and security constraints are strengthening.

In a January 2019 peer-reviewed survey, researchers described two persistent barriers for AI: data siloed as isolated islands and tightening privacy and security requirements. They proposed a comprehensive secure federated-learning framework that includes horizontal, vertical, and transfer variants, and surveyed existing work on definitions, architectures, and applications.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 60
Confidence 15%: 100
Recency 10%: 83

Updated Jul 13, 2026 · TRV-2026-0212

75Index score

SportsStableHigh evidence · 5 sources

Practical utility of machine learning in sport was often limited by issues of data quality, interpretability, and accessibility for end users such as athletes and coaches.

A scoping review published May 25, 2026 examined 270 peer-reviewed studies from 2002 to 2024 on machine learning in sport. It found applications across 12 subject areas, most frequently computer science, biomechanics, and sport psychology, with common uses in action recognition, injury prediction/prevention, and athlete selection/talent identification.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 60
Confidence 15%: 100
Recency 10%: 83

Updated Jul 13, 2026 · TRV-2026-0186

75Index score

LaborStableHigh evidence · 5 sources

Adoption of blockchain and AI in accounting faces scalability, interoperability, and potential job displacement concerns that constrain effective integration.

Published May 8 2026, this peer-reviewed study examined how blockchain and artificial intelligence are changing accounting, auditing, financial reporting, and accounting education. Using questionnaires from Chartered Accountants and audit firm professionals, it found that blockchain's immutable transparent ledger and AI automation can improve data reliability, enable real-time auditing, and reduce fraud and operational costs.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 60
Confidence 15%: 100
Recency 10%: 83

Updated Jul 13, 2026 · TRV-2026-0169

75Index score

EducationStableHigh evidence · 5 sources

Students and faculty lack formal instruction and support for using generative AI in academic work, with most students receiving no classroom training.

A June 2026 peer-reviewed survey at a large R1 university in the southeastern United States examined generative AI adoption among 3,164 students and 166 faculty. It found high familiarity, with 88% of students familiar with GenAI concepts, but limited academic use, with only about a quarter using tools for coursework and 76% reporting no formal classroom instruction.

Impact 30%: 49
Evidence 25%: 100
Scale 20%: 60
Confidence 15%: 100
Recency 10%: 83

Updated Jul 13, 2026 · TRV-2026-0158

75Index score

Recomputed live from the record · Oct 11, 2026, 6:12 AM