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0255075100FEARGREED

53/100

Neutral

Updated Jul 12, 2026
Auto refresh hourly
Medium confidence · 8% live

AI Fear & Greed Index

AI markets are roughly neutral — bullish and bearish forces are balanced, with no clear sentiment extreme right now.

Hourly AI sentiment gauge built from four investor-facing sub-indices: Market Momentum, Ecosystem Supply, Macro Liquidity, and Attention Sentiment. Refreshing components are excluded from the active weighted score and the final value is pulled toward neutral when source freshness is low.

Now

53

Neutral

Yesterday

+2 vs now

51

Neutral

Last week

+2 vs now

51

Neutral

Last month

flat

53

Neutral

Why the index is where it is

What's driving the AI index right now

8 of 10live signals lean greedy. These are the components pushing hardest on today's reading.

Pushing toward greed

Capital & Capex

90.5

Very hot · 11.8% weight

Capital Flow Breadth

89

Very hot · 5.9% weight

AI Adoption

87.1

Very hot · 9.4% weight

Ecosystem Breadth

68.1

Constructive · 5.9% weight

Pulling toward fear

No strong fear signals — nothing is dragging the index lower right now.

Score chart

AI Sentiment Score Trend

This chart shows the last 240 hourly readings of the AI sentiment score.

Current

51

Hourly move

-2 pts

EXTREME GREEDGREEDNEUTRALFEAREXTREME FEAR0255075100Start 53Now 5151

Hourly readings

240

652-hour history; average hourly move 0.2 points.

24h

24H score tape

+1 pts

Model-implied pulse from current component direction; not a stored market close.

7d

7D bias

+2.3 pts

Model-implied pulse from current component direction; not a stored market close.

30d

30D regime

+4 pts

Model-implied pulse from current component direction; not a stored market close.

The 0–100 scale

What the AI Fear & Greed score means

You are here: 53 · Neutral

Extreme Fear

0-24

Capital is pulling back and AI risk appetite is stressed.

Fear

25-39

Defensive positioning dominates the AI tape.

Neutral

40-59

Signals are mixed; no clear fear or greed regime.

Greed

60-74

Capital, adoption, or attention are expanding.

Extreme Greed

75-100

Multiple AI-cycle signals are running hot at once.

The index is recomputed every hour from the latest available data. If a live source is temporarily unavailable, the score holds at its most recent reading. Underlying sources update on their own cadence — intraday, monthly, quarterly, annually, or on TECHi editorial refreshes.

How it compares

AI Fear & Greed vs the Crypto Fear & Greed Index

Crypto greed gauges read Bitcoin's mood. We built this to read the AI economy — a broader, more transparent, faster-updating signal.

What it measures

TECHi AI

The AI economy — AI-stock momentum, capex, compute costs, enterprise adoption, news & macro

Crypto

Bitcoin & large-cap crypto sentiment

Signals behind the score

TECHi AI

13 weighted, source-linked signals

Crypto

Around 6 signals, mostly price & volatility

Update frequency

TECHi AI

Hourly

Crypto

Daily

Asset focus

TECHi AI

AI & technology stocks

Crypto

Bitcoin / crypto

Source transparency

TECHi AI

Every input links to its source, with freshness shown per signal

Crypto

Aggregate components, summarized

Free API & embed widget

TECHi AI

Yes

Crypto

API yes, embed limited

Both are sentiment gauges, not buy or sell signals. See the crypto index on Alternative.me.

News & Sentiment Signal

Market News & Sentiment Trending

TECHi analyzes technology market headlines — the article topics, ticker sentiment, and headline tone that feed the AI News Sentiment component.

TECHi quote-page news sentiment

News score

50/100

headline tone

Scored articles

sentiment coverage

Average tone

raw sentiment

Latest article

provider feed

Methodology

How the AI Fear & Greed Index is calculated

Published score is a structured linear combination of four sub-indices: Market Momentum 35% (AI coverage-basket momentum, capex, capital-flow breadth, technical breadth, options crowding), Ecosystem Supply 25% (log-scaled compute deflation, AI adoption, ecosystem breadth), Macro Liquidity 20% (global liquidity, rates, inflation, cross-asset pressure), and Attention Sentiment 20% (quote demand, news sentiment, catalysts and weekly tape). Each component is converted to a 0-100 z-score percentile against TECHi methodology priors; stale inputs decay toward 50, fully refreshing components are excluded, and their weight is redistributed across active components. The final headline score applies a freshness confidence multiplier to the active score deviation from neutral.

How we keep this honest

Every input links to its source. Stale or missing feeds are automatically down-weighted, and the score is pulled toward neutral when live coverage is low — so the number reflects how much real data is actually behind it.

Refresh

Hourly

recomputed every hour

Data quality

54/100

Medium confidence

Live inputs

8%

50/50 source-linked

Active signals

10/13

weighted into the score

Tamper-evident snapshot (SHA-256)

028cc7ebe3f7...f07d5775

Methodology weights

Component Weights: 13 AI-Cycle Signals

Weighted composite

Market · 15.3% active

AI Market Momentum

45.8

Base

13%

Raw

50

Pctile

45

active weightedFreshness 68/100Decay 84%

The TECHi AI coverage basket shows whether public-market capital is chasing or fading broad AI exposure beyond the Mag-7.

Uses market-cap weighted momentum across TECHi-covered AI company tickers when enough providers respond. The full universe is 135 company tickers, ETFs excluded; live coverage is disclosed in the input context.

Source inputs (1)

TECHi AI Coverage Mkt Cap

documented

$22.6T

Documented placeholder for the TECHi-covered AI company basket; live market-cap sampling runs under a strict homepage/API deadline and is disclosed when enough providers respond.

TECHi AI coverage basket

Macro · 20% active

Liquidity & Macro Pressure

60.1

Base

17%

Raw

61.7

Pctile

70.9

active weightedFreshness 19.8/100Decay 48%

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

Blends global liquidity change with every Alpha Vantage macro endpoint wired into the panel: GDP, GDP per capita, Treasury yields, Fed funds, CPI, inflation, retail sales, durable goods, unemployment, and payrolls.

Source inputs (11)

Global Liquidity (M2)

documented

$101T

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

StreetStats / central-bank M2

Real GDP Trending

refreshing
Alpha Vantage

Real GDP per Capita

refreshing
Alpha Vantage

Treasury Yield Trending

refreshing
Alpha Vantage

Federal Funds Rate

refreshing
Alpha Vantage

Consumer Price Index

refreshing
Alpha Vantage

Inflation

refreshing
Alpha Vantage

Retail Sales

refreshing
Alpha Vantage

Durable Goods Orders

refreshing
Alpha Vantage

Unemployment Rate

refreshing
Alpha Vantage

Nonfarm Payroll

refreshing
Alpha Vantage

Adoption · 9.4% active

AI Adoption

87.1

Base

8%

Raw

79.4

Pctile

94.1

active weightedFreshness 68/100Decay 84%

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, then blends the current adoption-clock stage progress so the cycle model is counted in the score.

Source inputs (2)

TECHi AI Adoption Index

documented

38/100

Proprietary weekly scenario model; not a market statistic.

TECHi methodology

AI adoption clock

documented

Frenzy

38% stage progress; modeled peak 2032.

TECHi adoption clock

Compute · 14.1% active

Compute Deflation

56.8

Base

12%

Raw

64.7

Pctile

58.1

active weightedFreshness 68/100Decay 84%

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

Transforms 1M, 1Y, and AI-era frontier output-token cost changes with ln(baseline/current), caps each horizon, then averages them. Falling cost remains an expansion signal, but large historical deflation cannot pin the component at an outlier.

Source inputs (1)

Compute $/Mtok

documented

$0.04

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

OpenAI / Anthropic / Google pricing

Capex · 11.8% active

Capital & Capex

90.5

Base

10%

Raw

86.4

Pctile

98.2

active weightedFreshness 68/100Decay 84%

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.

Source inputs (1)

2026 AI Capex

documented

$650-725B

Hyperscaler 2026 capex guidance and analyst tallies after Q1 updates.

Axios / company guidance

Attention · 9.4% active

Attention & Demand

46.9

Base

8%

Raw

56.5

Pctile

46.3

active weightedFreshness 68/100Decay 84%

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.

Source inputs (5)

NVDA

documented

NVIDIA

AI accelerator demand

TECHi curated fallback

MSFT

documented

Microsoft

Cloud + Copilot revenue

TECHi curated fallback

AAPL

documented

Apple

Device AI upgrade cycle

TECHi curated fallback

TSLA

documented

Tesla

Autonomy and robotaxi optionality

TECHi curated fallback

AMD

documented

AMD

GPU share and MI roadmap

TECHi curated fallback

News · 0% active

AI News Sentiment

50

Base

8%

Raw

50

Pctile

50

excludedFreshness 15/100Decay 0%

Headline tone checks whether AI coverage is confirming the tape or warning that the market narrative is weakening.

Prefers deduped quote-page news sentiment from the TECHi provider registry across 135 covered AI company tickers. Alpha Vantage NEWS_SENTIMENT is only a fallback when quote-page sentiment cannot return a scored sample. Missing coverage is held at neutral until a scored feed is available.

Source inputs (1)

AI news sentiment feed

refreshing
TECHi quote-page news sentiment

Ecosystem · 5.9% active

Ecosystem Breadth

68.1

Base

5%

Raw

63.5

Pctile

71.5

active weightedFreshness 68/100Decay 84%

Ecosystem breadth checks whether AI strength is spreading beyond the headline stocks into models, labor demand, builders, analysts, and leaders.

Blends frontier-model count, AI job-posting growth, crypto/risk-technology adoption, TECHi Learn coverage, analyst coverage depth, and AI Power List leader signal.

Source inputs (6)

Frontier Models

documented

20+

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

Epoch AI model database

AI Job Postings

documented

+38%

YoY growth in AI/ML role openings.

Stanford AI Index / labor-market trackers

Crypto Adoption

documented

7-10%

Global ownership estimates vary materially by survey and wallet methodology.

Crypto.com / TRM range

TECHi Learn demand

documented

2 active courses

TECHi AI Operator Cohort · Kids AI Starter Lab

TECHi Learn

Analyst desk: James Mowery

documented

93.9/100

Writer

TECHi analyst desk

AI power leader

documented

No mapped leader

No AI Power List leader is mapped for this refresh.

TECHi AI Power List

Flow · 5.9% active

Capital Flow Breadth

89

Base

5%

Raw

80.6

Pctile

96.4

active weightedFreshness 68/100Decay 84%

The money-flow heatmap shows whether AI capital is concentrated in one pocket or spreading across compute, power, labs, apps, tools, and robotics.

Uses the AI money-flow heatmap segment percentages. Higher breadth and lower concentration raise the score; one-segment crowding reduces it.

Source inputs (6)

Compute & GPUs

documented

38%

NVDA, AMD, custom silicon

TECHi AI money-flow heatmap

Power & data center

documented

22%

Hyperscaler build-out

TECHi AI money-flow heatmap

Model labs

documented

14%

OpenAI, Anthropic, xAI, Mistral

TECHi AI money-flow heatmap

Apps & agents

documented

12%

Cursor, Perplexity, Harvey

TECHi AI money-flow heatmap

Tools & infra

documented

9%

LangChain, vector DBs, evals

TECHi AI money-flow heatmap

Robotics

documented

5%

Figure, 1X, Tesla Optimus

TECHi AI money-flow heatmap

Technicals · 0% active

Technical Breadth

50

Base

4%

Raw

50

Pctile

50

excludedFreshness 15/100Decay 0%

Technical breadth checks whether the AI universe is participating or only a handful of leaders are holding up the tape.

Runs the TECHi Signal technical metric across the 135-ticker AI company universe in the hourly snapshot worker. It counts constructive, neutral, and defensive tickers, then blends average technical score, breadth, and momentum.

Source inputs (1)

AI technical breadth

refreshing
TECHi Signal technical breadth

Options · 0% active

Options Stress & Crowding

50

Base

3%

Raw

50

Pctile

50

excludedFreshness 15/100Decay 0%

Options flow separates healthy risk appetite from fragile crowded greed in the most liquid AI tickers.

Uses put/call ratios plus volume/open-interest pressure from the options-flow provider. Low put/call and elevated volume/OI lift greed but apply a crowding penalty when positioning looks too one-sided.

Source inputs (1)

AI options crowding

refreshing
TECHi options flow

Catalysts · 4.7% active

Catalyst & Weekly Tape

66.8

Base

4%

Raw

59.5

Pctile

70.4

active weightedFreshness 64.9/100Decay 82%

Upcoming AI earnings, macro prints, and weekly delta tape capture the near-term events that can confirm or challenge the current regime.

Scores upcoming earnings density only for TECHi-covered AI company tickers, EPS-estimate coverage, live macro-print availability, and the direction of TECHi weekly delta items.

Source inputs (10)

AEHR earnings

live

Jul 14 AMC

Aehr Test Systems · est. EPS $-0.1

Alpha Vantage earnings

ASML earnings

live

Jul 15 BMO

ASML Holding · est. EPS $8

Alpha Vantage earnings

NFLX earnings

live

Jul 16 AMC

Netflix Inc. · est. EPS $0.8

Alpha Vantage earnings

TSM earnings

live

Jul 16 BMO

Taiwan Semiconductor · est. EPS $3.8

Alpha Vantage earnings

Real GDP Trending

refreshing
Alpha Vantage

Treasury Yield Trending

refreshing
Alpha Vantage

Federal Funds Rate

refreshing
Alpha Vantage

NVDA from high

documented

-$440B

May 1 close vs Apr 27 high; sign corrected

FinanceCharts / Yahoo close data

2026 AI capex

documented

+$360B

Old $340B baseline reset toward ~$700B

Axios / Q1 guidance

Strategy BTC

documented

+3,273

818,334 BTC after Apr 27 filing

Strategy 8-K

Assets · 3.5% active

Cross-Asset Pressure

63

Base

3%

Raw

56

Pctile

65.5

active weightedFreshness 68/100Decay 84%

Gold, oil, gas, bitcoin, inflation, rates, and retail demand are checked as external pressure gauges around AI risk appetite.

Counts the live TECHi price-dashboard coverage and blends the macro-pressure endpoints most relevant to cross-asset risk. Weight remains low until dedicated commodity and crypto deltas are wired directly into this endpoint.

Source inputs (4)

Gold

documented

Tracked dashboard

Real rates and safe-haven demand

TECHi price dashboard

Oil

documented

Tracked dashboard

Inflation, transport, and energy capex

TECHi price dashboard

Gas

documented

Tracked dashboard

Consumer pressure at the pump

TECHi price dashboard

Bitcoin

documented

Tracked dashboard

Risk appetite and liquidity beta

TECHi price dashboard
Frequently asked

AI Fear & Greed Index — FAQ

What is the AI Fear & Greed Index?+

The AI Fear & Greed Index is a 0–100 gauge of investor sentiment toward the AI economy. A low score means fear — capital is pulling back; a high score means greed — capital, attention, and adoption are accelerating. It blends 13 weighted, source-linked signals (AI-stock momentum, capex, compute costs, enterprise adoption, quote-page demand, news sentiment, and macro pressure) into one number, refreshed hourly.

Is the AI market in fear or greed right now?+

Right now the index reads 53 out of 100, which is "Neutral". AI markets are roughly neutral — bullish and bearish forces are balanced, with no clear sentiment extreme right now.

How is the AI Fear & Greed Index calculated?+

Each of the 13 components is scored 0–100, normalised against its own history (a z-score percentile), then combined by weight into a composite. Stale or missing feeds are down-weighted and the headline score is pulled toward neutral (50) when live coverage is low, so the number honestly reflects how much current data supports it.

How is it different from the Crypto Fear & Greed Index?+

The Crypto Fear & Greed Index by Alternative.me measures Bitcoin sentiment, driven mostly by price, volatility, and social volume, and updates about once a day. TECHi's index measures the AI economy instead — AI-stock breadth, AI capex, compute (token) costs, enterprise adoption, and macro liquidity — updates hourly, and links every input to its source.

How often is the index updated?+

The index recomputes every hour. The page shows the time of the last update, an auto-refresh countdown to the next one, and a manual refresh button, and you can pull the latest reading anytime from the public JSON API.

How should I use the score?+

Treat it as market-mood context, not a buy or sell signal. Extreme fear has historically clustered near washout lows and extreme greed near frothy tops, but the index is a dashboard for AI-stock research, earnings, and risk appetite — it is not investment advice.

Public API

Developer Access: Public API & Embed Widget

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.

Embed code
<iframe title="TECHi AI Fear & Greed Index" src="https://www.techi.com/embed/ai-fear-greed/" width="360" height="260" style="border:0;max-width:100%;"></iframe>
Developer JSON API preview
{
  "endpoint": "/api/ai-fear-greed/",
  "value": 53,
  "value_classification": "Neutral",
  "raw_weighted_value": 63,
  "active_weighted_value": 65,
  "confidence_adjusted_value": 53,
  "confidence_multiplier": 0.2197,
  "fresh_input_ratio": 0.08,
  "snapshot_hash": "028cc7ebe3f7...f07d5775",
  "anchor_status": "not-recorded",
  "updated_at": "2026-07-12T20:36:21.583Z",
  "next_update_at": "2026-07-12T21:07:00.000Z",
  "refresh_cadence_seconds": 3600,
  "data_quality": {
    "score": 54,
    "label": "Medium",
    "refreshing_inputs": 16
  },
  "components": [
    {
      "id": "ai-market-momentum",
      "active": true,
      "base_weight": 13,
      "weight": 15.3,
      "score": 45.8,
      "raw_score": 50,
      "normalized_score": 45,
      "signal": "Mixed"
    },
    {
      "id": "liquidity-and-macro",
      "active": true,
      "base_weight": 17,
      "weight": 20,
      "score": 60.1,
      "raw_score": 61.7,
      "normalized_score": 70.9,
      "signal": "Mixed"
    },
    {
      "id": "ai-adoption",
      "active": true,
      "base_weight": 8,
      "weight": 9.4,
      "score": 87.1,
      "raw_score": 79.4,
      "normalized_score": 94.1,
      "signal": "Very hot"
    },
    {
      "id": "compute-deflation",
      "active": true,
      "base_weight": 12,
      "weight": 14.1,
      "score": 56.8,
      "raw_score": 64.7,
      "normalized_score": 58.1,
      "signal": "Mixed"
    },
    {
      "id": "capital-and-capex",
      "active": true,
      "base_weight": 10,
      "weight": 11.8,
      "score": 90.5,
      "raw_score": 86.4,
      "normalized_score": 98.2,
      "signal": "Very hot"
    },
    {
      "id": "attention-and-demand",
      "active": true,
      "base_weight": 8,
      "weight": 9.4,
      "score": 46.9,
      "raw_score": 56.5,
      "normalized_score": 46.3,
      "signal": "Mixed"
    },
    {
      "id": "ai-news-sentiment",
      "active": false,
      "base_weight": 8,
      "weight": 0,
      "score": 50,
      "raw_score": 50,
      "normalized_score": 50,
      "signal": "Source refreshing"
    },
    {
      "id": "ecosystem-breadth",
      "active": true,
      "base_weight": 5,
      "weight": 5.9,
      "score": 68.1,
      "raw_score": 63.5,
      "normalized_score": 71.5,
      "signal": "Constructive"
    },
    {
      "id": "capital-flow-breadth",
      "active": true,
      "base_weight": 5,
      "weight": 5.9,
      "score": 89,
      "raw_score": 80.6,
      "normalized_score": 96.4,
      "signal": "Very hot"
    },
    {
      "id": "technical-breadth",
      "active": false,
      "base_weight": 4,
      "weight": 0,
      "score": 50,
      "raw_score": 50,
      "normalized_score": 50,
      "signal": "Source refreshing"
    },
    {
      "id": "options-crowding",
      "active": false,
      "base_weight": 3,
      "weight": 0,
      "score": 50,
      "raw_score": 50,
      "normalized_score": 50,
      "signal": "Source refreshing"
    },
    {
      "id": "catalyst-and-tape",
      "active": true,
      "base_weight": 4,
      "weight": 4.7,
      "score": 66.8,
      "raw_score": 59.5,
      "normalized_score": 70.4,
      "signal": "Constructive"
    },
    {
      "id": "cross-asset-pressure",
      "active": true,
      "base_weight": 3,
      "weight": 3.5,
      "score": 63,
      "raw_score": 56,
      "normalized_score": 65.5,
      "signal": "Mixed"
    }
  ]
}

Evidence trail

Auditable Sources & Data Providers

Auditable inputs

AI Market Momentum

TECHi AI coverage basket

Hourly page/API refresh; source cadence varies

1 documented

Liquidity & Macro Pressure

StreetStats / central-bank M2

Hourly page/API refresh; source cadence varies

1 documented

Liquidity & Macro Pressure · Catalyst & Weekly Tape

Alpha Vantage

Quarterly / Annual / Monthly

Source refreshing

AI Adoption

TECHi methodology

Hourly page/API refresh; source cadence varies

1 documented

AI Adoption · Capital Flow Breadth

TECHi adoption clock

Homepage AI Pulse refresh

7 documented

Compute Deflation

OpenAI / Anthropic / Google pricing

Hourly page/API refresh; source cadence varies

1 documented

Capital & Capex · Catalyst & Weekly Tape

Axios / company guidance

Weekly editorial/data refresh

2 documented

Attention & Demand

TECHi curated fallback

Editorial fallback

1 documented

Attention & Demand

TECHi curated fallback

Editorial fallback

1 documented

Attention & Demand

TECHi curated fallback

Editorial fallback

1 documented

Attention & Demand

TECHi curated fallback

Editorial fallback

1 documented

Attention & Demand

TECHi curated fallback

Editorial fallback

1 documented

AI News Sentiment

TECHi quote-page news sentiment

Hourly when provider coverage is available

Source refreshing

Ecosystem Breadth

Epoch AI model database

Hourly page/API refresh; source cadence varies

1 documented

Ecosystem Breadth

Stanford AI Index / labor-market trackers

Hourly page/API refresh; source cadence varies

1 documented

Ecosystem Breadth

Crypto.com / TRM range

Hourly page/API refresh; source cadence varies

1 documented

Ecosystem Breadth

TECHi Learn

Payload course cache; five-minute homepage utility refresh

1 documented

Ecosystem Breadth

TECHi analyst desk

Payload analyst cache; five-minute homepage utility refresh

1 documented

Ecosystem Breadth

TECHi AI Power List

Payload AI directory refresh

1 documented

Technical Breadth

TECHi Signal technical breadth

Hourly snapshot worker

Source refreshing

Options Stress & Crowding

TECHi options flow

Hourly snapshot worker

Source refreshing

Catalyst & Weekly Tape

Alpha Vantage earnings

Earnings calendar refresh

1/1 current

Catalyst & Weekly Tape

Alpha Vantage earnings

Earnings calendar refresh

1/1 current

Catalyst & Weekly Tape

Alpha Vantage earnings

Earnings calendar refresh

1/1 current

Catalyst & Weekly Tape

Alpha Vantage earnings

Earnings calendar refresh

1/1 current

Catalyst & Weekly Tape

FinanceCharts / Yahoo close data

Weekly editorial/data refresh

1 documented

Catalyst & Weekly Tape

Strategy 8-K

Weekly editorial/data refresh

1 documented

Cross-Asset Pressure

TECHi price dashboard

Page-specific market-data refresh

1 documented

Cross-Asset Pressure

TECHi price dashboard

Page-specific market-data refresh

1 documented

Cross-Asset Pressure

TECHi price dashboard

Page-specific market-data refresh

1 documented

Cross-Asset Pressure

TECHi price dashboard

Page-specific market-data refresh

1 documented