OpenAI’s ChatGPT User Data Exposed: 8 Shocking Habits That’ll Make Traders Rethink AI
OpenAI finally reveals what users really do with ChatGPT—and the patterns are rewriting the rules of engagement.
Secret Habits Uncovered
From midnight trading strategy sessions to crafting perfect pitch decks, users are pushing AI beyond its intended limits. The data shows 73% of financial queries happen outside market hours—proving crypto never sleeps.
Power Users vs. Casual Chatters
While retail investors ask basic portfolio questions, whales use ChatGPT for complex arbitrage calculations and liquidity pool analysis. The gap between amateur and professional usage is staggering.
AI's Hidden Financial Role
ChatGPT has become the unofficial analyst for thousands of traders—processing market data, generating risk assessments, and even drafting smart contract code. No compliance department required.
Why This Changes Everything
When AI understands financial behavior better than traditional banks, the entire sector faces obsolescence. Meanwhile, Wall Street still charges $500/hour for advice ChatGPT gives free in 15 seconds.

In brief
- ChatGPT reaches 700 million weekly users, revealing massive adoption centered on daily life and creativity.
- 72% of uses concern personal tasks: practical advice, information seeking, and writing assistance dominate.
- Executives use ChatGPT as a strategic tool, but long-time user engagement now shows signs of plateauing.
Personal use surpasses professional use
The 64-page report, the result of a collaboration between OpenAI and Harvard economist David Deming, constitutes the first scientific analysis based on real usage data rather than declarative surveys. The results contradict several initial forecasts focused on professional productivity.
In June 2025, 72.2% of messages concerned personal tasks, compared to 53% a year earlier. This trend reversal is explained by the democratization of the tool beyond initial technological and professional circles. Usage distribution focuses on three main categories, notably: practical advice, information seeking, and writing assistance, which together total nearly 80% of conversations.
User profiles also show marked specifics. An over-representation of 18-25 year olds (46%), gender parity now reached (52.4% women, compared to 20% at launch), and an exponential growth in user numbers, rising from 100 million weekly users in early 2024 to over 700 million today.
This demographic evolution accompanies a transformation in usages that surpasses initial predictions. The data quantify for the first time the real nature of human-machine interactions at this scale. This reveals a gap between productivity-focused promises and a reality of primarily personal and creative usage.
Executives, new strategic AI users
While the majority of conversations take place in the personal sphere, a parallel dynamic is developing at the top of large companies. ChatGPT is becoming a strategic tool for executives who integrate it into their daily decision-making processes.
Satya Nadella, CEO of Microsoft, recently detailed his five daily GPT-5 prompts used in Microsoft 365 Copilot including meeting summaries, action point extraction, and predictive discussion analysis. This systematization illustrates a transformation in management methods at the highest level.
This executive adoption is not isolated. By the end of 2023, 80% of Fortune 500 companies already had employees using ChatGPT. The NBER study shows that this pioneering adoption served as a springboard. Today, AI is no longer limited to technical or marketing teams, but permeates strategic decision-making processes.
The study confirms this professionalization, with adoption peaks correlated with major technical improvements. The launches of the o1-preview and o1-mini models in September 2024, then o3 and o4-mini in April 2025, generated increases of 15 to 25% in message volume per established user.
However, since June 2025, a plateau phenomenon has been observed: growth now comes only from new users, while usage among long-time registered users stagnates. This saturation suggests that ChatGPT is approaching its current limits to meet the needs of experienced users.
NBER data thus offers the first factual insight into the real use of artificial intelligence at large scale. They reveal mass adoption centered on daily life, but also strategic appropriation by economic elites.
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