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WBN AI Displacement Pressure Index™ | Past 24 Hours Demo
Category Validation Prototype
This is a visual model showing how one category could be scored over the past 24 hours using a validation framework. The numbers below are placeholders for structure only. The goal here is to show the signal buckets, data points, and scoring flow that would eventually drive a live WBN index.
Tracked Category
Computer & Math
Digital Logic Work
Coding, analytics, logic systems, structured digital problem-solving. This category is used here as the first prototype because it is one of the clearest examples of AI pressure showing up in real workflows.
Index Snapshot | Past 24 Hours
Pressure Score
92.24
Estimated category pressure out of 100
Validation Score
72.40
How strong the evidence base is
24h Change
+0.38
Movement since prior update
Pressure92.24 / 100
Validation72.40 / 100
1. Company Signals
What companies are actually doing that points to AI-driven compression or restructuring
23.50 / 25
AI-first internal policy signal
Company memo, executive statement, or workflow policy indicating employees are expected to use AI before requesting more headcount.
Tracked Weight: 0.00–8.00
Hiring freeze or role consolidation
Pause in recruiting or merging of technical roles linked to productivity gains from AI tools.
Tracked Weight: 0.00–8.00
Layoff or restructuring signal
Any credible report tying staff reduction or workflow redesign to automation or AI-assisted output.
Tracked Weight: 0.00–9.00
2. Tool Adoption
Evidence that AI tools are actually being used in day-to-day work across the category
18.40 / 20
Copilot or assistant deployment
Rollout of code copilots, AI assistants, or enterprise tools directly supporting technical work.
Tracked Weight: 0.00–7.00
Usage intensity signal
Reports showing daily or weekly AI usage inside dev, analytics, or product teams.
Tracked Weight: 0.00–7.00
Workflow integration signal
Evidence that AI is embedded in ticketing, coding, analysis, QA, or project systems.
Tracked Weight: 0.00–6.00
3. Job Market Signals
How roles, postings, requirements, and labor demand are shifting
17.10 / 20
Job posting decline
Reduction in openings for routine coding, junior analytics, or repetitive technical roles.
Tracked Weight: 0.00–7.00
Skill shift in postings
Job ads increasingly requiring AI tool fluency, prompt use, automation oversight, or workflow integration skills.
Tracked Weight: 0.00–7.00
Role consolidation signal
Multiple specialist tasks being merged into fewer roles due to AI assistance.
Tracked Weight: 0.00–6.00
4. Economic Pressure
Commercial signals showing that AI is changing pricing, speed, or staffing expectations
12.80 / 15
Faster output expectation
Market expectations shifting toward shorter delivery times because AI makes routine tasks faster.
Tracked Weight: 0.00–5.00
Pricing pressure
Lower pricing for technical tasks once considered premium due to AI-assisted production.
Tracked Weight: 0.00–5.00
Efficiency narrative
Public statements by companies emphasizing margin improvement through AI-enabled productivity.
Tracked Weight: 0.00–5.00
5. Research & Reports
Published studies, industry reports, and institutional framing
9.20 / 10
Industry report alignment
Does major research agree this category is structurally exposed to AI?
Tracked Weight: 0.00–5.00
Task-level exposure evidence
Published research mapping core tasks in this category to AI capability.
Tracked Weight: 0.00–5.00
6. Observed Productivity Shift
Evidence that workers can now do much more with less time or fewer people
9.24 / 10
Hours compressed per task
A technical task that used to take hours now takes much less due to AI support.
Tracked Weight: 0.00–5.00
Output per worker increase
One employee now handles work volume that previously required more headcount.
Tracked Weight: 0.00–5.00
How The Validation Model Works
Step 1
Collect signals from the past 24 hours across six evidence buckets.
Step 2
Assign weighted scores to each bucket based on new evidence, even if the movement is small.
Step 3
Combine the bucket scores into a total Pressure Score and a separate Validation Score.
Step 4
Track the change over time so the category can move from 92.24 to 92.61, 91.88, and so on.
Demo Only | Numbers shown are placeholders for structure, not validated live scoring.
Suggested cadence: update weekly, review monthly, and increase validation quality over time as source discipline improves.
Suggested cadence: update weekly, review monthly, and increase validation quality over time as source discipline improves.
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