Tools From the author of Intelligence Capitalism
Make a prediction. See the data.
Short, free tools about AI, work and the economy. Three reflect your own answers back to you. Eight put published evidence in front of you. One clarifies what an open or closed AI model actually means.
- No account needed
- Every published figure has a source and a date
Featured reader tool IC 100
What do 100 public companies say about AI?
Start with the 100-company list, compare filing measures and reported financial figures, then go deeper into four filing-language topics.
Separate frontier map Frontier IC25
Who builds the frontier and who brings it into use?
Explore 25 source-led profiles across model builders, scale enablers and AI-native deployers. See one comparable model measure, then follow the companies and connections behind it.
Explore Frontier IC253 tools about you, built from your answers.
Each result is a reflection of the answers you give, not measured or published data, and none of them ranks you against anyone else. Tool 02 also shows a live tally of picks made on this site, labeled as such.
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01Views
Where do you stand on AI?
React to ten statements about AI, then see where your own answers place you on a map of views.
About 2 minutesStart → -
02Values
What would you hate to lose?
Choose three things you would hate to lose to AI, then see your picks beside the live tally on this site.
About 2 minutesStart → -
03Careers
What protects your work from AI?
Answer seven questions about your work, then see a profile of exposure and protection built from your answers.
About 3 minutesStart →
9 tools, each with its own evidence.
Tools 04 to 08 and 10 to 11 draw on research, statistics and filings. Tool 09 follows organizations building, enabling and deploying AI. Tool 12 tests the terms used to describe AI model releases. Each view shows its sources and limits.
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04Work Exposure
Is your job exposed to AI?
Guess how exposed a job is to AI, then see the research estimate beside observed use, jobs and pay.
About 3 minutesStart → -
05Business
Is your industry using AI?
Guess the share of firms in your industry using AI, then see the Census figure for your state and size.
About 2 minutesStart → -
06Compute
Who shows up in the compute data?
Make seven guesses about AI chips, data centers and models, then see who appears in the partial public data.
About 5 minutesStart → -
07Energy
How much power do data centers use?
Make four estimates about U.S. and global data-center electricity, a 2030 projection and Virginia commercial-sales growth.
About 5 minutesStart → -
08IC 100
What do public companies say about AI?
Explore the IC 100: read AI passages in 100 public companies' annual filings beside their reported financial figures.
About 4 minutesStart → -
09Frontier IC25
What's happening at the frontier?
Explore 25 source-led profiles of model builders, scale enablers and AI-native deployers, with a separate view of selected model capabilities.
Explore at your paceOpen → -
10Resources
What does a data center actually need?
Test six claims about servers, water, electricity and grid connections, then share an evidence map.
About 4 minutesStart → -
11Countries
Compare country electricity systems
Compare demand, generation and power mix across six places using one dated Ember dataset.
About 3 minutesStart → -
12Models
How open is this AI?
Eight questions separate free access, downloadable weights, use rights, disclosure and practical deployment.
About 3 minutesStart →
Guess, reveal, check the source.
Predict
Most data tools ask for your guess before you see anything. Your guess never leaves your browser.
Reveal
See the published figure, how close you were, and a comparison that puts it in context.
Check the source
Every result names its source, period and denominator, and states the limit that matters most.
The three tools about you are conversation starters, not scientific surveys. For the argument behind all twelve, read about Intelligence Capitalism.