VIRTUAL ARENA AI

Intelligence Panel

Cross-signals from 74 analyses

💼
Monitored Jobs
154.658
in 30 countries
⚠US bias (Adzuna/USAJobs)
Updated 2026-05-29 00:00
📄
Indexed Papers
120.2K
Full index · all domains
ℹAll domains
Updated 2026-05-29 00:00
🛡
Security Alerts
1.234
critical + high CVEs
ℹNIST NVD + CISA KEV
Updated 2026-05-13 00:00
📊
Tech Trends
61.9K
signals from 5 sources
ℹGitHub, npm, PyPI, SO, HN · See /tecnologias
Updated 2026-05-29 15:14
⚖ GovernanceImpact Critical
Confidence High3 sources · Coverage Partial

The Conflict Economy: Ukraine 300K Events, Syria 149K — How Geopolitical Risk Reshapes Tech

928K ACLED events across 15 countries reveal how conflict directly impacts tech supply chains and talent flows

Evidence: 928.614 eventos totais: Ucrânia 300K, Índia 205K, Síria 149K, México 117K, Brasil 109K
Score 93
View full analysis →
1/8

Data & Distributions

Structured intelligence layer

DETERMINISTIC
⚡
What changed now
Signals refreshed in the last 48h
48himpact 80

4 monitored signals changed in the last 48h — 2 rising, 2 falling

Monitored signals48hReal changes only4 signals

In the monitored sample, 4 signals changed by at least 5% in the last 48h. Top mover: humanitarian datasets updated (30d) +832.0%. Sources: humanitarian data, jobs, PyPI, papers.

Signals with real change (|Δ| ≥ 5%) refreshed in the last 48h. Annual data and first collections excluded. Sources: humanitarian data, jobs, PyPI, papers.
▸ How to read this signal
Geographic scope: Monitored sample (multiple markets)
Market/source: Aggregated signals: jobs, packages, papers, GitHub
Unit: % change vs previous window (delta)
Who should care: Technology leaders, market analysts
Not a claim: Measures change in specific monitored signals, not the entire global market. Excludes annual data, first collections, and backfill. Each signal has its own calculation window.
📈
Technology momentum
30-day technology momentum snapshot
30dimpact 81

Technology momentum (30d): litellm (LLM proxy/routing) leads with score 81

30d SnapshotRelative momentumTech toolsScore 0–100

8 technologies with momentum signal in the 30-day snapshot. Leader: litellm (LLM proxy/routing) — score 81, rising. The ranking measures relative acceleration in the monitored sample, not total market adoption.

A 30-day momentum snapshot (tech_momentum_scores). Not a long historical series — represents relative acceleration in the current period. Not an absolute market adoption ranking.
▸ How to read this signal
Geographic scope: Global sample (multiple sources)
Market/source: Technology momentum snapshot
Unit: Momentum score 0–100 (relative acceleration)
Who should care: Technology leaders, engineering managers
Not a claim: Not an absolute adoption ranking — measures relative acceleration in the monitored sample. Single 30d window.
🛢
Market moves
Sector pressure in commodities (7d)
7dimpact 72

Energy pulls back -7.2% (average, 7 days) — 0/6 contracts up

Energy: avg -7.2% — 0 up, 6 down · Agriculture: avg -1.2% — 2 up, 8 down · Metals: avg -1.1% — 1 up, 4 down

Sectoral changes computed as simple mean of 7d % changes for contracts with valid history.
🔬
Patent radar
Topic + country search (2 years) — keyword-based
2yimpact 60

Keyword patent radar: Machine learning concentrated in US records (100% of keyword match, 1.9K records, 2 years)

ExploratoryKeyword-basedPatents2yTopic: Machine learning

Keyword search over title/technology field/abstract — CPC/IPC not used. Highest-volume topic in the monitored search. Per-country split (top 5): US 1.9K. High concentration in one country may reflect coverage or vocabulary, not absolute technological leadership.

Coverage: sofia.patents (319k records 2007–2026). Keyword search (title/technology/abstract) — CPC/IPC classification codes not used. Results reflect vocabulary and coverage, not necessarily technological leadership.
▸ How to read this signal
Geographic scope: Global (records by filing country/inventor)
Market/source: Keyword search in patent database
Unit: Record count (2 years)
Who should care: Innovation, R&D and IP strategy teams
Not a claim: Does not use CPC/IPC classification. High country concentration may reflect vocabulary, source coverage or filing style, not absolute market leadership.
🌐
Country comparison
US benchmark vs global peers (90d)
90dimpact 50

Job sample (90d): Brazil appears overrepresented vs United States — possible coverage bias

Monitored sampleTech jobs90dCoverage biasNot total market

In the monitored 90-day sample, Brazil appears at 374% of the United States job volume. This result should NOT be read as a total market ranking: it likely reflects unequal source coverage — regional job boards with stronger sample presence. Distribution: Brazil: jobs 374% · France: jobs 52% · Germany: jobs 38% · United Kingdom: jobs 12% · Canada: jobs 12%.

Monitored sample — United States = 100% (benchmark, 90d). Sources: jobs and papers. NOTE: regionally uneven source coverage. Ratios far above 100% reflect sampling bias, not actual market size.
▸ How to read this signal
Geographic scope: Monitored sample of selected countries
Market/source: Collected tech job postings (job boards)
Unit: Relative volume vs US = 100% (90d)
Who should care: Talent strategy and international expansion teams
Not a claim: Not a total global tech job market ranking. The sample has geographic coverage bias — regional job portals are disproportionately represented. Do not use to compare actual market size.
🔭
Research vs Market
Papers and jobs in the monitored sample (30d)
impact 70

AI research remains far above explicit job demand in the monitored sample

Papers + jobs30dMonitored sampleResearch→market gap

In the last 30 days, 26.4K research records were monitored (arXiv: 12.2K, OpenAlex: 14.0K, SciELO: 13, dissertations (BR): 32). AI/ML talent demand: 752 jobs (2% of monitored sample). Academic output remains far ahead of market demand: ~35 research records per open role. Does not measure the full global market.

Data: arXiv, OpenAlex, SciELO, dissertations BR (OpenAlex) (academic publications) + AI job postings (aggregated sources).
▸ How to read this signal
Geographic scope: Global (with Brazil representation via OpenAlex/BDTD)
Market/source: Indexed academic publications + monitored AI job postings
Unit: Record counts (papers) vs posted jobs (30d)
Who should care: Researchers, innovation leaders, R&D strategists and tech HR
Not a claim: Does not measure all global scientific output or the entire AI job market. Compares only monitored sources. Research records are not deduplicated by DOI/arXiv ID across sources.
Consolidated editorial analyses
Cards built from multiple sources and longer windows
Editorial Distribution
69 analyses · 7 categories

Insights by Category

Distribution of active insights by thematic area

Strategy & Market
24
Technology
17
Governance
13
Development
5
Security
4
HR & Career
4
Management
2

Insights by Impact Level

Insights classified by potential decision impact

Critical
4
High
34
Medium
26
Low
5

Intelligence by Category

See all categories →

Ordered by editorial priority: recency, evidence, diversity and score.

Global Radar

Global Radar

…
|Global Context:
Size = concentration
Scroll to zoom · click to detail

Source and Signal Architecture

Primary Metrics
Active jobs and indexed papers. Quantitative volume data.
Adoption Proxies
Downloads (npm/PyPI) and Tools (VS Code). Real production usage.
Community Signal
Hacker News and Stack Overflow. Technical interest and sentiment.
Capital Narrative
TechCrunch and Funding Rounds. Market and product momentum.
⚠Uneven geographic coverage: jobs concentrated in USA/Europe, English-language papers overrepresented. Absence of data in a region does not mean absence of activity.