ICAIG

ICAIG Observatory

The Observatory does not track isolated news. It tracks the growth of links between themes. When authoritative sources increasingly connect AI agents, regulation, audit, safety and public services, the map makes that shift visible.

Trend map preview

The public map shows a curated slice only. The internal auto-wiki remains private until editorial review. Synced: Jun 13, 2026

20 sources310 signals / 90d103 nodes · 106 linksLive · 2026-Q2
2024-Q4now2027-Q2

Sources

The system monitors an approved list of strong sources: regulators, research centers, public documents, international organizations and expert platforms.

Signals

Each material is converted into themes, documents, organizations, concepts and links between them. Repeated signals strengthen the corresponding nodes and links.

Trends

A trend is not just a popular topic. It is a growing pattern of links. The more evidence from strong sources, the larger the node and the thicker the link.

ICAIG

How to read the map

The map works as a transparent analytical instrument. It shows where repeated links appear in sources and which directions start pulling adjacent themes with them.

1. Collection

Every day the system checks approved sources and stores discovered materials as a source archive.

2. Extraction

Materials are converted into themes, concepts, documents, organizations and statements about links between them.

3. Strengthening

If the same link appears across strong sources, its weight grows and the map line becomes thicker.

4. Synthesis

The system shows which nodes and links became more visible and prepares the basis for expert review.

Trend map preview

What the indicators mean

Trend strength

A visibility score for a node: signal frequency, source quality and number of strong links are considered.

Link strength

The thickness of a line between two nodes. Thicker lines mean sources connect these themes more often.

Growth

Change over the latest period. Positive growth means the link started appearing more often.

Forecast

Time axis and forecast

The map lives in time. Drag the axis and nodes grow or fade along their trajectory; past the “now” mark a projection over the coming year begins.

Momentum

How fast a theme is gaining weight. Positive momentum extends the trajectory upward.

Projection

Past the “now” mark the map extends trends twelve months out from observed link dynamics.

Uncertainty cone

The further the forecast and the lower the source confidence, the wider the glowing ring around a node.

Evidence base

Signals from primary sources

The map is grounded in dated facts from strong sources. Every signal links to the original.

Task horizon doubling Mar 2025

The length of software tasks AI agents can do autonomously at 50% reliability has doubled about every 7 months — and since 2024 closer to every ~3 months.

METR →
Benchmarks saturating Apr 2025

In one year scores rose by 18.8, 48.9 and 67.3 points on MMMU, GPQA and SWE-bench; real-world software solve rate jumped from 4.4% to 71.7%.

Stanford HAI — AI Index 2025 →
Autonomous coding 2025–2026

On SWE-bench Verified (500 real GitHub issues), autonomous coding agents reached ~80–86% by late 2025, up from under 50% in early 2025.

Epoch AI →
Compute scaling 2024

Training compute for frontier AI models grew ~4–5× per year from 2010 to 2024 — a trend Epoch projects to continue toward 2030.

Epoch AI →
Data-center energy 2025

Global data-centre electricity use is projected to roughly double from ~485 TWh (2025) to ~950 TWh by 2030 — about 3% of world electricity.

International Energy Agency →
Inference cost collapse 2022–2024

The price to query a GPT-3.5-level model fell from $20.00 to $0.07 per million tokens between Nov 2022 and Oct 2024 — a 280× drop in ~18 months.

Stanford HAI — AI Index 2025 →
Open-weight frontier Jan 2025

DeepSeek disclosed its open-weight R1 reasoning model's final training run cost just $294,000; R1 was released under open weights on 20 Jan 2025.

Nature / DeepSeek →
US evaluation centre Jun 2025

In June 2025 the US AI Safety Institute was renamed the Center for AI Standards and Innovation (CAISI), pivoting toward security, standards and adversary-model assessment.

NIST →
Frontier safeguards May 2025

Anthropic activated its ASL-3 deployment and security standard with Claude Opus 4 on 22 May 2025 — the first real-world trigger of a responsible-scaling tier, focused on blocking bio-weapon uplift.

Anthropic →
Cross-border testing 2025

The International Network of AI Safety Institutes (launched Nov 2024) ran a third joint testing exercise focused on agentic AI systems across cyber and fraud strands.

European Commission — AI Office →
EU AI Act timeline Aug 2025

EU AI Act obligations for general-purpose AI models applied from 2 Aug 2025; high-risk obligations under Annex III apply from 2 Aug 2026.

EU AI Act — implementation tracker →
First binding treaty May 2026

The Council of Europe Framework Convention on AI — the first legally binding international AI treaty — opened for signature in Sep 2024; the EU ratified it on 15 May 2026.

Council of Europe →
UN scientific panel Aug 2025

On 26 Aug 2025 the UN General Assembly created an Independent International Scientific Panel on AI (40 experts) and a Global Dialogue on AI Governance.

United Nations →
AI in government Sep 2025

An OECD review of ~200 government AI use cases found 57% support automating or tailoring public services and 45% enhance decision-making — most still stuck in pilots.

OECD — Governing with AI →
Labor signal Nov 2025

A Stanford payroll study found a 13% relative decline in employment for workers aged 22–25 in AI-exposed occupations since late 2022, while older peers held steady.

Stanford Digital Economy Lab →
Information integrity Oct 2025

Microsoft reported AI-enhanced phishing reached a 54% click-through rate (4.5× traditional) and AI-generated fake IDs grew 195% globally in 2025.

Microsoft — Digital Defense Report 2025 →
National AI Strategy Feb 2024

Decree No. 124 (15 Feb 2024) updated Russia's National AI Strategy to 2030, targeting over 11.2 trillion roubles of cumulative AI-driven GDP impact and 95% sector readiness.

Digital Policy Alert →
Domestic open model Nov 2025

On 19 Nov 2025 Sber open-sourced GigaChat 3 Ultra (a 702B-parameter mixture-of-experts) under the MIT licence, claiming the top rank on the Russian-language MERA benchmark.

Sber →

ICAIG

Autonomous Non-Profit Organization “Institute of Cybernetics, Artificial Intelligence and Governance”

A node shows a theme, document, concept or organization

Node size shows trend strength

Node color is the direction cluster (constellation)

Link thickness shows evidence density

Link growth shows what intensified over the period

The time axis shows past, present and projection