VIRTUAL ARENA AI

Artificial Intelligence Radar

Trends, signals and market movements — organized with crossed public data.

What this radar covers

VAIA tracks artificial intelligence by crossing six public data sources: scientific preprints (arXiv), job postings, GitHub repositories, package metrics, technical community discussions (Hacker News) and sector news. No single source is enough — the crossover reveals real trends.

We do not make predictions. We identify divergences, tensions and emerging signals before they become consensus — with visible sourcing for each claim.

Recent signals monitored by VAIA

25%
of Hacker News stories
351 of 1,398 stories mention AI — with below-average engagement, signaling narrative saturation.
12.354
computer vision papers
vs only 159 dedicated job openings — a 77× commercialization gap.
33×
more jobs per HN mention
Anthropic has 33× more jobs per Hacker News mention than OpenAI — talent acquisition strategies diverge.
50%
commercialization gap fell
AI models are reaching market in half the historical time — structural acceleration documented.

VAIA data — editorial signals with ≥3 crossed public sources. Periodically updated.

Why this matters

Research ≠ labor market

The volume of computer vision papers does not translate into jobs. Investing in specialization in this area requires understanding the asymmetry between scientific production and real market demand.

Hype ≠ hiring

AI dominates 25% of Hacker News discussions, but real engagement is below average. VAIA crosses narrative with hiring to distinguish hype from real adoption.

Brazil as a silent talent hub

VAIA identified Brazil as a growing AI talent hub — with global companies hiring locally without public announcements. Signal with score 95/100 and 90% confidence.

What to track in AI now

  • Speed of model exit from lab to market — the gap fell 50% and continues compressing.
  • Capital concentration: Defense-Tech received $5B (Anduril) while civil AI projects compete for funding.
  • Divergence between HN and TechCrunch: technical utility vs capital narrative — two different conversations about AI.
  • Open source tools on GitHub: which AI repositories accumulate stars without contributor growth — passive adoption signal.
  • Model efficiency research: papers on compression and cheap inference grow faster than foundation model papers.

Related editorial signals

Track the radar in real time

This editorial guide is updated periodically. For the dynamic version with the latest signals, access the Daily Radar or the full Panorama.