AI Sentiment
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
- 0-20Now · 4Deeply NegativeOverwhelmingly critical coverage; high policy risk.
- 21-40NegativeCoverage leans critical.
- 41-60NeutralMixed coverage; no clear lean.
- 61-80PositiveCoverage leans favorable.
- 81-100Strongly PositiveBroadly favorable coverage; low perceived policy risk.
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.
SK Eco Plant launches one-person one-AI system
SK Eco Plant has launched a “1 person, 1 AI agent” system across jobs, underscoring how South Korean firms are moving from AI experimentation to operational deployment in a bid to lift productivity, tighten decision-making and offset labor constraints.
Read moreMusk Says Orbital AI Could Rival Data Centers by 2028
Elon Musk is pushing his AI wager beyond Earth, saying computing capacity deployed in orbit could overtake new terrestrial data center installations by late 2028, a bold forecast that extends the AI infrastructure race into space and raises the stakes for Nvidia, Microsoft and other chip and cloud suppliers.
Read moreTypeSafe AI Jev model gains enterprise interest
A fast-growing new AI model called Jev is drawing heavy interest because it does one thing many businesses desperately need: make simple decisions cheaply and almost instantly.
Read moreChinese AI Stocks Fall as Valuations Reset
Chinese artificial intelligence shares are coming under renewed pressure as investors question whether the country’s home-grown AI champions can turn heavy spending into profits fast enough to justify their valuations.
Read moreSalvator Mundi AI attribution debate
Artificial intelligence has injected fresh doubt into the authorship of Leonardo da Vinci’s “Salvator Mundi,” the $450 million painting that remains the most expensive artwork ever sold, and if the new attribution holds it could mean the buyer vastly overpaid for what may have been the work of a student rather than the Renaissance master himself.
Read moreOracle AI spending warning hits value stocks
Oracle’s warning that heavier AI usage does not automatically translate into higher business value is sharpening a risk that value investors have been underpricing: the earnings hit from AI spending may arrive faster than the payoff.
Read moreAI fear rises in Chapman survey of Americans
Artificial intelligence has moved from a productivity story to a public-risk story in the US, with a new Chapman University survey showing Americans now fear its impact on politics and the economy almost as much as war or serious illness.
Read moreVietnam Students Use AI for Homework, OECD Data Shows
Students are using AI to do more of their homework, but the bigger economic risk is that schools may be rewarding polished answers while quietly weakening the very skills that matter in the workforce.
Read moreAI firms seek Vatican input on ethics
Artificial intelligence companies are increasingly looking to religion for help answering one of the industry’s hardest questions: how to make machines behave morally when the technology itself can already outpace existing legal and social guardrails.
Read moreHo Chi Minh City firms see weak AI productivity gains
Businesses in Ho Chi Minh City are pouring more money and attention into artificial intelligence, but the clearest economic message from a new survey is that most are still not getting measurable productivity gains — a warning that the AI boom is running ahead of execution.
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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.