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The Index recomputed live from the record

What the evidence says.What the public feels.

The record holds 933 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.

933 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.

1,703 results
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AI gains · 933

193
PolicyStableModerate evidence · 1 source

AI-optimized additive manufacturing can enable more sustainable production systems and support circular-economy applications like supply-chain management and product customization in Industry 5.0.

On 2024-06-26 this peer-reviewed position paper proposed a research agenda for human-centered AI in Industry 5.0 and the circular economy, selecting additive manufacturing as the central platform to integrate technical, social and sustainability considerations.

Impact 30%
49
Evidence 25%
95
Scale 20%
60
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0403

72Index score
194
BusinessStableModerate evidence · 1 source

French SMEs using generative AI tools were able to reassess business models and build entrepreneurial resilience during COVID-19 and geopolitical market turbulence.

In a peer-reviewed study published June 25 2024, researchers surveyed 87 SMEs in France about their use of generative AI tools during the COVID-19 pandemic, geopolitical crises, and economic slowdown. Using a pre-tested survey and WarpPLS 7.0 modelling, they tested how generative AI and entrepreneurial orientation relate to entrepreneurial resilience under market turbulence.

Impact 30%
49
Evidence 25%
95
Scale 20%
60
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0397

72Index score
195
PolicyStableModerate evidence · 1 source

The EU AI Act establishes a risk-based legal framework and EU-wide governance bodies that promote safe and lawful AI while protecting citizens' health, safety and fundamental rights and keeping the European AI industry competitive.

In February 2024 the Council and European Parliament agreed on the AI Act, a risk-based regulation intended to ensure ethical and responsible AI use across the EU single market. The article examines the governance system in the April 2024 version of the text, noting the creation of a European Artificial Intelligence Office and planned Board, advisory forum, scientific panel, and national competent authorities.

Impact 30%
49
Evidence 25%
95
Scale 20%
60
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0393

72Index score
196
BusinessStableModerate evidence · 1 source

Innovation managers reported generative AI is more likely than traditional AI to make employees' jobs more fulfilling when used in firms' innovation projects.

In mid-2024, researchers reported results from a large-scale survey and follow-up interviews of innovation managers in the USA to assess how AI is actually used in innovation. They found adoption is high and widespread, with AI applied in more than half of surveyed firms' innovation projects and concentrated in the development stage rather than idea or commercialization stages.

Impact 30%
49
Evidence 25%
95
Scale 20%
60
Confidence 15%
87
Recency 10%
84

Updated Jul 20, 2026 · TRV-2026-0388

72Index score

AI problems · 770

193
HealthStableModerate evidence · 1 source

Artificial intelligence (AI) is expanding the capacity of public health systems to detect infectious disease signals, forecast outbreaks, analyse pathogen evolution, generate localised risk estimates, and support operational decisions.

Artificial intelligence (AI) is expanding the capacity of public health systems to detect infectious disease signals, forecast outbreaks, analyse pathogen evolution, generate localised risk estimates, and support operational decisions. The thirteenth session of the WHO Pandemic and Epidemic Intelligence Innovation Forum brought together experts from academic, public health, and technology organisations to examine current applications of AI in infectious disease modelling and pandemic preparedness.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
96

Updated Sep 23, 2026 · TRV-2026-1177

68Index score
194
HealthStableModerate evidence · 1 source

Static and dynamic features derived from these indices were compared between groups and used to train machine learning models for PD-HC discrimination, with each model trained and evaluated separately within each cohort.

Objective Hypomimia, or reduced facial expressiveness, is a cardinal motor feature of Parkinson's disease (PD). Although limb motor symptoms in PD are characteristically asymmetric, whether facial hypomimia exhibits comparable asymmetry remains poorly understood.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
96

Updated Sep 23, 2026 · TRV-2026-1175

68Index score
195
ScienceStableModerate evidence · 1 source

The most frequently reported challenges involved bias, errors, and limitations. Background Generative artificial intelligence (GenAI) chatbots have shown utility in assisting with various research tasks.

Background Generative artificial intelligence (GenAI) chatbots have shown utility in assisting with various research tasks. Traditional, complementary, and integrative medicine (TCIM) is a patient-centric approach that emphasizes holistic well-being.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
96

Updated Sep 23, 2026 · TRV-2026-1174

68Index score
196
CrimeStableModerate evidence · 1 source

Radial wall strain for residual risk stratification after percutaneous coronary intervention: Ongoing and planned prospective, randomised trials are evaluating the role of RWS-guided risk stratification.

Background Percutaneous coronary intervention effectively treats flow-limiting stenoses; however, untreated non-target vessels with vulnerable plaques remain a major contributor to future adverse cardiovascular events. Plaque strain is a promising marker of plaque vulnerability but traditionally requires complex modelling and expensive intracoronary imaging.

Impact 30%
49
Evidence 25%
95
Scale 20%
35
Confidence 15%
87
Recency 10%
96

Updated Sep 22, 2026 · TRV-2026-1167

68Index score

Recomputed live from the record · Oct 12, 2026, 12:44 AM