TMetric recently analyzed 86 million work minutes from ~10,000 professionals across roles (Marketing, Support, Sales, Development) to compare how much time people are spending in ChatGPT vs Google during their workday.
What We Found
- In the “ChatGPT + Google” mix, ChatGPT’s share increased from 8.9% to 14.5% between June and August.
- That equals about 14 minutes per day on ChatGPT (compared to roughly 8.5 minutes before).
- Weekly, this totals roughly 47 minutes of extra ChatGPT time per employee.
- This usage is above and beyond other work tasks — it doesn’t seem to significantly cut into other core responsibilities.
Role & Behavior Insights
- Marketing leads adoption: ~18 min/day on ChatGPT (vs Google) — roughly double many other teams.
- Surprisingly, E-commerce users compete, nearly matching Marketing in ChatGPT time.
- Support, Sales also leverage it (e.g. for response drafting, summarization) though their balance is more mixed.
- Developers are less aggressive adopters; use tends to focus on boilerplate, scaffolding, or quick helpers rather than core architecture or deep research.
- Peak ChatGPT use happens in the morning (06:00–09:00). The “polish window” in the afternoon also sees secondary bursts.
What This Means for Devs & Teams
- Don’t expect ChatGPT to replace your research stack overnight — it’s more of a complement to Google, especially for draft generation, summarization, ideation, and internal tooling.
- Encourage small experiments: Dev teams can use it for code sketches, spec drafts, documentation scaffolding, error explanations, and stub generation.
- Share prompt patterns internally — the more that’s codified, the more consistent and higher-quality the output.
- Track usage and outcomes: Which prompts led to real-time savings vs which ones needed heavy post-edit?
- Reassess periodically: As models evolve, what’s feasible today may shift quickly.
Read the full research 👉 https://blog.tmetric.com/chatgpt-vs-google-usage-by-tmetric/
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