AI Index

Updated May 28, 2026

Auto refresh hourly

AI Fear & Greed Index

Greed

Hourly AI sentiment gauge built from market momentum, macro pressure, adoption, compute costs, capex, and attention data.

Live docs

Refresh cadence

Hourly

Next May 28, 2026, 5:28 PM UTC

Live docs

Public API

/api/ai-fear-greed/

v1.0 · CORS enabled

Live docs

Weighted signals

6 components

techi-ai-fng-v1.0

Live docs

Data sources

11 feeds

Market, macro, attention, AI data

Live methodology

Built like a crypto fear gauge, tuned for the AI economy.

Score = sum(component score * component weight) / 100. Component scores are normalized to 0-100 and refreshed hourly.

Update policy

The public page and API revalidate every hour. Underlying sources may update intraday, monthly, quarterly, annually, or on TECHi editorial refreshes.

0-24

Extreme Fear

Capital is pulling back and AI risk appetite is stressed.

25-39

Fear

Defensive positioning dominates the AI tape.

40-59

Neutral

Signals are mixed; no clear fear or greed regime.

60-74

Greed

Capital, adoption, or attention are expanding.

75-100

Extreme Greed

Multiple AI-cycle signals are running hot at once.

AI Data Drivers

Global Liquidity (M2)

$101T

+0.3%

Top-four central bank M2 estimate, USD-converted; methodology varies by source.

Big-7 AI Mkt Cap

$22.6T

NVDA + MSFT + GOOGL + META + AMZN + TSLA + AAPL, last close.

TECHi AI Adoption Index

38/100

Proprietary weekly scenario model; not a market statistic.

Compute $/Mtok

$0.04

-42%

Frontier-class output token price (1500x cheaper since 2020).

Frontier Models

20+

Active/recent GPT-class production models; count depends on frontier threshold.

AI Job Postings

+38%

YoY growth in AI/ML role openings.

Methodology weights

Six AI-cycle signals, normalized to 0-100

Weighted composite

Market · 20%

AI Market Momentum

75.8

The Big-7 AI complex shows whether public-market capital is chasing or fading AI exposure.

Uses 1W, 1M, and 1Y Big-7 AI market-cap changes. More recent moves receive more weight, with the 1Y move acting as the cycle anchor.

Big-7 AI Mkt Cap

$22.6T

NVDA + MSFT + GOOGL + META + AMZN + TSLA + AAPL, last close.

Macro · 18%

Liquidity & Macro Pressure

AI greed is easier to sustain when liquidity is expanding and inflation/rate pressure is not squeezing duration assets.

Blends global liquidity change, real GDP momentum, inflation distance from 2%, Fed funds pressure, and unemployment direction.

Global Liquidity (M2)

$101T

Top-four central bank M2 estimate, USD-converted; methodology varies by source.

Real GDP Trending

$5.9T

-3.57%

Inflation

2.95%

-1.17 pts

Adoption · 18%

AI Adoption

85.2

Adoption measures whether AI is moving from narrative into real software, workflows, and demand.

Uses TECHi adoption-index changes across 1M, 1Y, and the AI-era baseline. Sustained adoption raises greed because it validates revenue durability.

TECHi AI Adoption Index

38/100

Proprietary weekly scenario model; not a market statistic.

Compute · 14%

Compute Deflation

100

Lower frontier token costs expand the set of AI apps that can work economically, which is a greed signal for the AI stack.

Treats 1M, 1Y, and AI-era frontier output-token cost declines as positive. Falling cost equals higher component score.

Compute $/Mtok

$0.04

Frontier-class output token price (1500x cheaper since 2020).

Capex · 15%

Capital & Capex

86.4

AI capex indicates how aggressively hyperscalers and strategic buyers are turning belief into balance-sheet commitments.

Uses hyperscaler capex guidance and analyst tallies. Larger YoY capex expansion pushes the component toward greed.

2026 AI Capex

$650-725B

Hyperscaler 2026 capex guidance and analyst tallies after Q1 updates.

Attention · 15%

Attention & Demand

77.5

Reader demand, quote-page traffic, and price-dashboard usage show where market attention is concentrating right now.

Uses Google Analytics quote-page demand when available, curated fallback watchlists when analytics is unavailable, and AI ticker concentration.

NVDA

NVIDIA

AI accelerator demand

MSFT

Microsoft

Cloud + Copilot revenue

AAPL

Apple

Device AI upgrade cycle

Public API

Use the TECHi AI Fear & Greed Index anywhere.

The endpoint is public, CORS-enabled, and cached for one hour. It includes a Crypto Fear & Greed-style data array plus the full TECHi component model, inputs, economic indicators, source links, and quote-attention data.

Open JSON API

{
  "endpoint": "/api/ai-fear-greed/",
  "value": 69,
  "value_classification": "Greed",
  "updated_at": "2026-05-28T16:28:38.275Z",
  "next_update_at": "2026-05-28T17:28:38.275Z",
  "refresh_cadence_seconds": 3600,
  "components": [
    {
      "id": "ai-market-momentum",
      "weight": 20,
      "score": 75.8,
      "signal": "Constructive"
    },
    {
      "id": "liquidity-and-macro",
      "weight": 18,
      "score": 0,
      "signal": "Stress"
    },
    {
      "id": "ai-adoption",
      "weight": 18,
      "score": 85.2,
      "signal": "Very hot"
    },
    {
      "id": "compute-deflation",
      "weight": 14,
      "score": 100,
      "signal": "Very hot"
    },
    {
      "id": "capital-and-capex",
      "weight": 15,
      "score": 86.4,
      "signal": "Very hot"
    },
    {
      "id": "attention-and-demand",
      "weight": 15,
      "score": 77.5,
      "signal": "Constructive"
    }
  ]
}

Source library