53/100
Neutral
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 now51
Neutral
Last week
+2 vs now51
Neutral
Last month
flat53
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.
Capital & Capex
90.5Very hot · 11.8% weight
Capital Flow Breadth
89Very hot · 5.9% weight
AI Adoption
87.1Very hot · 9.4% weight
Ecosystem Breadth
68.1Constructive · 5.9% weight
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
Hourly readings
240
652-hour history; average hourly move 0.2 points.
24h
24H score tape
Model-implied pulse from current component direction; not a stored market close.
7d
7D bias
Model-implied pulse from current component direction; not a stored market close.
30d
30D regime
Model-implied pulse from current component direction; not a stored market close.
The 0–100 scale
What the AI Fear & Greed score means
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.
News score
50/100
headline tone
Scored articles
sentiment coverage
Average tone
raw sentiment
Latest article
provider feed
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.
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.
Hourly
recomputed every hour
54/100
Medium confidence
8%
50/50 source-linked
10/13
weighted into the score
028cc7ebe3f7...f07d5775
Methodology weights
Component Weights: 13 AI-Cycle Signals
Market · 15.3% active
AI Market Momentum
Base
13%
Raw
50
Pctile
45
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
$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 basketMacro · 20% active
Liquidity & Macro Pressure
Base
17%
Raw
61.7
Pctile
70.9
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)
$101T
Top-four central bank M2 estimate, USD-converted; methodology varies by source.
StreetStats / central-bank M2Real GDP Trending
Real GDP per Capita
Treasury Yield Trending
Federal Funds Rate
Consumer Price Index
Inflation
Retail Sales
Durable Goods Orders
Unemployment Rate
Nonfarm Payroll
Adoption · 9.4% active
AI Adoption
Base
8%
Raw
79.4
Pctile
94.1
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
38/100
Proprietary weekly scenario model; not a market statistic.
TECHi methodologyCompute · 14.1% active
Compute Deflation
Base
12%
Raw
64.7
Pctile
58.1
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
$0.04
Frontier-class output token price (1500x cheaper since 2020).
OpenAI / Anthropic / Google pricingCapex · 11.8% active
Capital & Capex
Base
10%
Raw
86.4
Pctile
98.2
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
$650-725B
Hyperscaler 2026 capex guidance and analyst tallies after Q1 updates.
Axios / company guidanceAttention · 9.4% active
Attention & Demand
Base
8%
Raw
56.5
Pctile
46.3
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)
News · 0% active
AI News Sentiment
Base
8%
Raw
50
Pctile
50
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
Ecosystem · 5.9% active
Ecosystem Breadth
Base
5%
Raw
63.5
Pctile
71.5
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
20+
Active/recent GPT-class production models; count depends on frontier threshold.
Epoch AI model databaseAI Job Postings
+38%
YoY growth in AI/ML role openings.
Stanford AI Index / labor-market trackersCrypto Adoption
7-10%
Global ownership estimates vary materially by survey and wallet methodology.
Crypto.com / TRM rangeTECHi Learn demand
2 active courses
TECHi AI Operator Cohort · Kids AI Starter Lab
TECHi LearnAI power leader
No mapped leader
No AI Power List leader is mapped for this refresh.
TECHi AI Power ListFlow · 5.9% active
Capital Flow Breadth
Base
5%
Raw
80.6
Pctile
96.4
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)
Technicals · 0% active
Technical Breadth
Base
4%
Raw
50
Pctile
50
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
Options · 0% active
Options Stress & Crowding
Base
3%
Raw
50
Pctile
50
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
Catalysts · 4.7% active
Catalyst & Weekly Tape
Base
4%
Raw
59.5
Pctile
70.4
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)
Real GDP Trending
Treasury Yield Trending
Federal Funds Rate
NVDA from high
-$440B
May 1 close vs Apr 27 high; sign corrected
FinanceCharts / Yahoo close dataAssets · 3.5% active
Cross-Asset Pressure
Base
3%
Raw
56
Pctile
65.5
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)
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.
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.
<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
AI Market Momentum
TECHi AI coverage basket
Hourly page/API refresh; source cadence varies
1 documentedLiquidity & Macro Pressure
StreetStats / central-bank M2
Hourly page/API refresh; source cadence varies
1 documentedLiquidity & Macro Pressure · Catalyst & Weekly Tape
Alpha Vantage
Quarterly / Annual / Monthly
Source refreshingAI Adoption
TECHi methodology
Hourly page/API refresh; source cadence varies
1 documentedAI Adoption · Capital Flow Breadth
TECHi adoption clock
Homepage AI Pulse refresh
7 documentedCompute Deflation
OpenAI / Anthropic / Google pricing
Hourly page/API refresh; source cadence varies
1 documentedCapital & Capex · Catalyst & Weekly Tape
Axios / company guidance
Weekly editorial/data refresh
2 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAttention & Demand
TECHi curated fallback
Editorial fallback
1 documentedAI News Sentiment
TECHi quote-page news sentiment
Hourly when provider coverage is available
Source refreshingEcosystem Breadth
Epoch AI model database
Hourly page/API refresh; source cadence varies
1 documentedEcosystem Breadth
Stanford AI Index / labor-market trackers
Hourly page/API refresh; source cadence varies
1 documentedEcosystem Breadth
Crypto.com / TRM range
Hourly page/API refresh; source cadence varies
1 documentedEcosystem Breadth
TECHi Learn
Payload course cache; five-minute homepage utility refresh
1 documentedEcosystem Breadth
TECHi analyst desk
Payload analyst cache; five-minute homepage utility refresh
1 documentedEcosystem Breadth
TECHi AI Power List
Payload AI directory refresh
1 documentedTechnical Breadth
TECHi Signal technical breadth
Hourly snapshot worker
Source refreshingOptions Stress & Crowding
TECHi options flow
Hourly snapshot worker
Source refreshingCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
Alpha Vantage earnings
Earnings calendar refresh
1/1 currentCatalyst & Weekly Tape
FinanceCharts / Yahoo close data
Weekly editorial/data refresh
1 documentedCatalyst & Weekly Tape
Strategy 8-K
Weekly editorial/data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documentedCross-Asset Pressure
TECHi price dashboard
Page-specific market-data refresh
1 documented