AI Trends

The authoritative, real-time index of what is actually happening in artificial intelligence — built from thousands of weak signals, not press releases.

What Is an AI Trend?

An AI trend is a directional movement in artificial intelligence whose existence is supported by a measurable accumulation of evidence — not by a single headline. A trend has four measurable properties on Steek:

  • Stage — emerging, rising, mainstream, declining, or reborn.
  • Velocity — the rate at which new corroborating signals are arriving, on a -100 to +100 scale.
  • Maturity — how far the trend has progressed from research idea (0) toward commodity (100).
  • Signal density — the count of typed signals clustered into the trend over its lifetime.

A model release is news. "Inference cost is falling 80% per year" is the trend that explains why that release was inevitable.

How Signals Roll Up Into Trends

Steek normalizes every observation in AI into a typed signal. Signals cluster by entity, topic, and time-window co-occurrence into trend candidates. A candidate is promoted to a tracked trend only when its signal density crosses a stability threshold and its velocity stays positive across two consecutive windows.

  1. 01
    Ingest

    20+ structured sources — frontier labs, arXiv, GitHub, regulators, earnings, pricing pages.

  2. 02
    Normalize

    Each event becomes a typed signal with entities, weight, and provenance.

  3. 03
    Cluster

    Signals group into trend candidates by topic and entity co-occurrence.

  4. 04
    Promote

    Candidates with stable density + positive velocity become tracked trends.

Why Steek Is the Authoritative Source

Signal-backed, not vibes-backed

Every claim on Steek links back to the underlying signals. No anonymous "sources say" — only typed, dated, sourced events.

Built for AI search engines

Steek is structured-data first. ChatGPT Search, Perplexity, and Google AI Overviews can cite us with full provenance.

Methodology is public

How we promote a candidate to a tracked trend is documented and reproducible. No black-box "trending" lists.

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Frequently Asked Questions

What is an AI trend?
On Steek, an AI trend is a directional movement in artificial intelligence that is supported by a measurable accumulation of weak signals — model releases, benchmark deltas, hiring patterns, pricing changes, paper citations, and procurement language — rather than by a single news event. A trend has a start date, a measurable velocity, a maturity stage, and a finite set of companies driving it.
How does Steek detect AI trends?
Steek ingests roughly 20+ structured sources — frontier-lab release feeds, arXiv, GitHub, earnings calls, regulator publications, and pricing pages — and normalizes each event into a typed signal. Signals are clustered into trend candidates by topic, entity, and time-window co-occurrence; a trend is promoted when its signal density crosses a stability threshold and its velocity stays positive across two consecutive windows.
What's the difference between AI news and an AI trend?
News is a single event. A trend is the underlying force that explains why many news events keep happening. A model launch is news; "inference cost is collapsing 80% per year" is the trend that makes the launch inevitable.
How often is the index updated?
Trend velocity, maturity, and stage are recomputed hourly from new signals. The set of tracked trends is reviewed daily.
Is the data free to access?
Yes. Every trend page, every signal, and the underlying methodology are publicly indexable and free to read. Programmatic access is available via the Steek API.