History · 3 years
Overview · Sentiment index · updated every 3 hours
About the AI Sentiment
Alternative data signal measuring artificial intelligence adoption momentum - capturing enterprise AI deployment commentary, productivity narrative cycles, and investment enthusiasm across tech and financial media.
Thematic and political sentiment indicators capture the market's interpretation of policy and narrative shifts rather than economic data. These indicators are particularly useful during election cycles, policy pivots, or sustained regulatory change. High Awareness with neutral Sentiment is a common pattern during ongoing policy debates where the directional outcome remains contested.
Key drivers
- Legislative and executive policy announcements
- Polling and approval rating trends
- Regulatory agency activity and enforcement signals
- Market pricing of policy risk (VIX, rates, sector rotation)
- Media narrative clustering around specific policy themes
Reading the Sentiment scale
- 0-20Deeply NegativeCoverage dominated by risk-aversion signals; narrative heavily skewed toward negative conditions.
- 21-40NegativeBelow-neutral conditions with cautious market positioning; optimism subdued relative to the 30-day baseline.
- 41-60Now · 41NeutralBalanced coverage with no clear directional bias. Market is in a wait-and-see posture, awaiting a catalyst.
- 61-80PositivePositive momentum building in the narrative; coverage tilting toward positive catalysts and upside scenarios.
- 81-100Strongly PositiveElevated risk of mean-reversion. Watch for sentiment exhaustion signals and divergence from the Awareness score.
How to use this index
- Use the Sentiment score to gauge the prevailing narrative bias for Artificial Intelligence at a glance.
- The Awareness score flags unusual spikes in coverage - early-warning signals that often precede price moves.
- Extreme readings (0-20 or 81-100) historically mark periods of heightened volatility and potential reversals.
- Compare across related topics to find cross-asset divergences and correlation breakdowns.
- Pro subscribers can view 3 years of history to calibrate thresholds against past market regimes.
This index is frequently referenced alongside AI sentiment, ai sector outlook, artificial intelligence market, internet AI discussion, alternative data technology - helping traders and analysts track Artificial Intelligence sentiment shifts in real time.
Latest news
Artificial Intelligence in the news
The headlines feeding this index, newest first.
Netherlands AI Factory Raises Cost and Funding Questions
The Netherlands is moving ahead with a Groningen-based AI factory, but the real issue for policymakers and investors is not whether Europe needs more artificial intelligence infrastructure — it is how the bill will be shared, and whether the economics can justify the spend.
Read moreAI Infrastructure Spreads Gains Beyond Software
AI’s biggest economic story is no longer the software layer; it is the race to build the land, power and cooling that make the software usable at scale.
Read moreMohegan Sun Deploys MBody AI Robotics
AI robotics deployment at Mohegan Sun is the kind of small operational move that can carry outsized economic meaning: hospitality groups are moving from talking about automation to putting it on the floor, where it can trim labor costs, smooth service bottlenecks and test whether robots can deliver a measurable return in a business built on thin margins.
Read moreMastercard on AI, stablecoins and banking rails
Banks of the future will be more digital, more automated and still very much staffed by people, according to Mastercard, as the payments giant argues the real shift is not a wholesale replacement of the banking system but a broadening of how money moves.
Read moreNvidia, Microsoft, Google Gain from New AI Tool Jev
A new AI tool called Jev is the latest reminder that the next big winner in artificial intelligence may not be the chatbot itself, but the chips, cloud platforms and software ecosystems that make these tools possible.
Read moreFAA Deploys First AI Tool for Air Traffic Control
The Federal Aviation Administration has begun deploying its first AI tool for air traffic controllers, a move that could ease a chronic staffing crunch and reshape how the busiest parts of U.S. airspace are managed.
Read moreOpenAI Breach Raises AI Security Spending Focus
Hackers who penetrated OpenAI are now warning that the AI industry has a security problem, and investors should treat that as more than a headline-grabbing embarrassment. It is a reminder that the next big battleground in artificial intelligence may not be model quality or chip supply, but trust, access control and the cost of keeping increasingly powerful systems safe.
Read moreAI Is Rewiring Work, Not Just Cutting Jobs
AI is starting to change the structure of work faster than it is changing the level of employment, with companies using the technology to redesign tasks, supervision and hiring pipelines even as the data on job losses remains inconclusive.
Read moreTrump AI policy supports chip and cloud spending
Donald Trump’s pledge to create an “AI Force” and avoid “stifling” the industry matters because it signals a White House that is likely to favor acceleration over restraint just as governments, regulators and AI executives are debating how much guardrail the technology needs.
Read moreGoldman Says AI Agents Could Boost Chips and Cloud
Artificial intelligence may be moving beyond chatbots and into software that actually completes tasks, a shift Goldman Sachs says could open a new commercial phase for the sector and broaden the market for AI chips, cloud infrastructure and digital advertising.
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Methodology
How the index is built
Data sources, scoring and update cadence, in plain terms.
What is the Artificial Intelligence index?
Alternative data signal measuring artificial intelligence adoption momentum - capturing enterprise AI deployment commentary, productivity narrative cycles, and investment enthusiasm across tech and financial media.
How is the Artificial Intelligence index calculated?
The Artificial Intelligence index is derived from AI-powered NLP analysis of thousands of online news sources, blogs, and financial commentary. Sentiment scores range from 0 (Deeply Negative) to 100 (Strongly Positive), where 50 represents neutral conditions. Awareness scores capture the volume and breadth of coverage for this topic across the media landscape.
How often is the Artificial Intelligence index updated?
The underlying data pipeline runs daily. However, the gauge and score displayed on this page reflect a processed snapshot that may be 3–24 hours behind real-time, depending on the topic's update cadence and how quickly new data clears the processing pipeline. The exact timestamp of the data shown is visible in the gauge footer - hover the info icon to see it in your local time.
Why does the gauge show data from a few hours ago?
The gauge reflects a processed data snapshot, not a live feed. Depending on the topic, displayed values can be 3–24 hours behind real-time - fast-moving topics (crypto, equities) update more frequently, while slower-cycle topics (macro, real estate, geopolitics) may have a longer lag. The precise data timestamp is always visible in the gauge footer: hover the info icon to see it in your local time.
Why use sentiment analysis?
Sentiment uses natural language processing to analyze and quantify investors' opinions, which is different from traditional indicators like volatility (VIX), volume, or price trends. This gives you an edge over others who rely solely on price-based data.
How to interpret the figures?
The gauges show the latest indicator percentiles for the last two quarters. Values above 50 mean an upward trend, while below 50 means a downward trend. A reading above 70% signals greed, and below 30% signals fear. When price and sentiment trends diverge, it's a strong sign the trend will continue.
What does awareness represent?
Besides sentiment, we also provide a measurement of awareness - an indicator of media activity expressed as a ratio of topic-dedicated data compared to the total. Values over 50 indicate an increasing media trend and growing investors' interest; less than 50 signals decreasing attention.
What is sentiment analysis and why measure it?
Sentiment analysis is a way to determine whether a piece of text is positive, negative, or neutral. It helps understand how people feel about a topic or product, which is very important for investment, revenue management, and gauging public opinion. It adds important data points to the decision process and is valuable input for many statistical and AI models.
What are some of the key data characteristics?
Raw signals are gathered from proprietary sources covering over 50,000 outlets and ingested every 15 minutes. Processed gauge readings are derived from these signals but are displayed with a delay of 3–24 hours depending on the topic - the exact data timestamp is always shown in the gauge footer. The platform includes 5 years of history, supports 72 languages, and processes over 1 million unique entries daily. Adalytica maintains over 99.5% uptime across all products and data services.
Who benefits the most from the sentiment data?
The products are widely used across various industries, including finance, real estate, cryptocurrency, commodities, and government. They provide tailored insights for tasks like tracking voter sentiment, optimizing investment strategies, or monitoring brand perception. We offer products that are tailored for both beginners and advanced data professionals.