72
Lab Cope Score
HEAVY COPE
95/100
Data Transparency
Unprecedented openness
25/100
Framing Honesty
Called displacement "adoption"

Topics Over Time

What people use ChatGPT for, month by month.

CopeCheck Analysis

Writing dominates at ~24%. Technical Help and Practical Guidance together account for massive shares — professional work tasks outsourced to AI. Self-expression growing fastest = creative work consumed too.

Work vs Non-Work Messages

Share of messages classified as work-related vs personal.

The Volume Illusion

Work share declined 51% → 31%. Copers cite this. But total volume grew enormously. 31% of a vastly larger pie = MORE absolute work displacement. The declining share masks accelerating replacement.

Ask vs Do vs Express (Work Messages)

The Doing Problem

“Doing” = ChatGPT performing actual work tasks. Not researching. Not brainstorming. Doing. At 46%, nearly half of work interactions are direct task execution. A replacement worker measured in real-time.

Age Group Distribution

The Age Bomb

25-34 year olds dominate (~40%+). Early-career professionals outsourcing their work to AI. Building AI-dependency instead of skills.

Gender Split

Top 20 O*NET Work Activities

Which specific human work activities ChatGPT is replacing, by average share of work messages.

O*NET Work Activities — Ranked Table

RankIWA CodeWork ActivityAvg Share
14.A.2.b.1.I07Processing Transactions
14.91%
24.A.3.b.6.I124.A.3.b.6.I12
8.61%
34.A.3.b.6.I164.A.3.b.6.I16
5.04%
44.A.3.b.1.I01Performing for or Working Directly with the Public
4.62%
54.A.2.b.2.I124.A.2.b.2.I12
4.29%
64.A.3.b.1.I044.A.3.b.1.I04
3.95%
74.A.1.a.1.I04Getting Information
3.64%
84.A.4.a.1.I01Processing Information
3.34%
94.A.2.b.2.I184.A.2.b.2.I18
2.85%
104.A.4.a.1.I03Interpreting Data/Results
1.80%
114.A.4.a.1.I02Analyzing Data/Information
1.76%
12Other IWAOther IWA
1.58%
134.A.4.a.2.I03Testing/Debugging Software
1.53%
144.A.1.a.1.I07Judging the Qualities of Objects, Services, or People
1.50%
154.A.4.b.6.I074.A.4.b.6.I07
1.38%
164.A.1.b.3.I03Estimating Time
1.35%
174.A.2.a.4.I04Planning Events/Programs
1.11%
184.A.3.b.6.I134.A.3.b.6.I13
1.04%
194.A.2.a.1.I07Problem Analysis
0.88%
204.A.1.a.1.I18Compiling Data/Statistics
0.87%
Occupational Implications

Top codes cluster around information processing, creative work, computer interaction, written communication. Core activities of knowledge workers: analysts, writers, programmers, designers, marketers, researchers.

Top 10 Work Activities Over Time

Free vs Plus Users: Work Usage

CopeCheck Analysis

Plus subscribers use ChatGPT for work at significantly higher rates. Professionals paying for enhanced AI are using it to replace human work output — not for casual chat.

Key Capabilities & Announcements

Codex + GB200
NVIDIA Engineers Build with Codex — May 2026
NVIDIA engineers now use Codex (built on GPT−5.5, running on NVIDIA’s own GB200 and GB300 infrastructure) as their default tool for complex engineering and end-to-end ML experiments. For NVIDIA’s research teams, the full loop is largely automated: identifying research areas, writing experiment scripts, running on remote machines. An internal podcast app that would have taken weeks to procure was spun up in hours using Codex. CopeCheck: OpenAI’s coding agent is replacing NVIDIA’s own engineers’ work — on NVIDIA’s own chips. The displacement is literal and circular. → Source: openai.com/index/nvidia

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