TruaceTracing the truth around AIMonday, September 14, 2026
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.

1,404 results
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AI gains · 779

67
GainLabor· Stable· Evidence: Moderate (1 source)

High-skilled and low-skilled workers experience limited technological substitution from physical automation to cognitive automation, and high-skilled workers are not significantly affected by technological control.

A peer-reviewed study published November 17, 2025 analyzed skill heterogeneity as technology moves from physical automation to cognitive automation. It assessed both substitution and control, finding limited substitution for high- and low-skilled workers, but stronger control for low-skilled workers, and compared sectoral effects of automation versus large language models.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0451

67
GainEducation· Stable· Evidence: Moderate (1 source)

AI adaptive systems create customized learning paths at each student's pace and level, improving engagement and academic performance while automating grading and feedback.

This peer-reviewed review from April 2024 describes how AI is being applied across education, with adaptive learning systems analyzing student performance to build personalized paths, and AI tools automating grading, lesson creation, real-time feedback, and administrative tasks like enrollment and scheduling.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0450

67
GainEducation· Stable· Evidence: Moderate (1 source)

University students perceived that AI and social media use improved academic performance and mental well-being, with smart learning amplifying those benefits.

In a peer-reviewed study published April 1, 2024, researchers surveyed 401 Chinese university students and modeled how AI and social media use relate to academic performance and mental well-being, with smart learning as a mediator.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0449

67
GainMedia & Arts· Stable· Evidence: Moderate (1 source)

AI systems using RNNs, Transformers and GANs can compose coherent melodies and full pieces, increasing efficiency and diversity of music creation.

This peer-reviewed overview from November 2025 surveys how music generation moved from rule-based approaches to deep learning models such as RNNs, Transformers and GANs, detailing their architectures and training and noting current ability to produce coherent melodies and complete pieces.

Impact 30%49
Evidence 25%95
Scale 20%35
Confidence 15%87
Recency 10%89

Updated Jul 20, 2026 · TRV-2026-0448

AI problems · 625

56
ProblemPolicy· Stable· Evidence: Moderate (1 source)

AI-driven private platforms and bot activity are shifting public discourse to monetized attention systems that polarize citizens and threaten liberal democracy, while energy-guzzling datacentres damage the climate.

On 19 August 2026 The Guardian reviewed Jill Lepore's The Rise and Fall of the Artificial State, which frames AI as enabling both a billionaire fantasy of escaping democratic constraints and an existing shift of public discourse onto private, attention-monetizing platforms populated by manipulative bots.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%95

Updated Aug 20, 2026 · TRV-2026-0836

56
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

The Department of Marine and Coastal Resources drew strong public criticism after its AI art contest for National Dugong Conservation Day selected a winning image that inaccurately depicted a dugong with four legs.

On August 17, 2026, the Bangkok Post reported that the Department of Marine and Coastal Resources faced strong criticism after announcing winners of an AI art contest held for National Dugong Conservation Day. The controversy centered on the winning image, which showed a dugong with what appeared to be four legs.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%95

Updated Aug 18, 2026 · TRV-2026-0816

56
ProblemMedia & Arts· Stable· Evidence: Moderate (1 source)

Former lead writer Stella Sacco alleges she was replaced by ChatGPT midway through development, after the CEO said he would be happy to replace her with AI.

On August 17, 2026, The Verge reported that Saber CEO Matthew Karch apologized to former Rideshare 'Stimulator' lead writer Stella Sacco after telling This Week in Videogames he would have been 'happy to replace her with AI.' Sacco had claimed Saber replaced her with ChatGPT midway through development, a claim Karch denied, while the game's Steam page states it uses AI for voices, music, and missions.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%95

Updated Aug 18, 2026 · TRV-2026-0814

56
ProblemCrime· Stable· Evidence: Moderate (1 source)

AI-generated deepfakes impersonating Prime Minister Anthony Albanese and other public figures were used in fake investment pitches, contributing to $7.4m in reported losses to the top 10 impersonated figures.

By 16 August 2026, Australia's corporate watchdog ASIC warned of a steep rise in investment scams using AI-generated deepfakes, most commonly of Prime Minister Anthony Albanese. One circulating video used real footage overlaid with fake audio promising $4,000 could earn $40,000 a month as an 'official platform' with a government guarantee. Reports to Scamwatch linked $7.4m in losses to the top 10 impersonated public figures.

Impact 30%49
Evidence 25%62
Scale 20%35
Confidence 15%62
Recency 10%94

Updated Aug 17, 2026 · TRV-2026-0793

Recomputed live from the record · Sep 15, 2026, 12:32 AM