Will an LLM replace me? A Systematic study of Gen AI's impact on data jobs
summary
Systematic review of ~40 Argusa projects by 11 consultants finds LLMs speed debugging, write documentation and summarize meetings but do not shorten a 14-week incident that required 18 people, 120 emails and 22 JIRA tickets to resolve; code co‑pilots and integrations (Snowflake, Einstein for Tableau, Microsoft Co‑pilot, Fathom, ChatGPT) help with code, docs and notes, while heterogeneous data sources and devops tasks resist automation. Conclusion: LLMs augment specific steps but do not replace the consultant; prioritize communication, documentation and data‑engineering skills.
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chapters (10)
- 0:00Gen AI impact on data jobs
- 1:09Reflections on three conversations
- 3:19Real-world data analysis challenge
- 8:57Gen AI in analysis process
- 11:08Survey on tedious tasks and AI
- 14:20AI assistance in client workflows
- 17:32Future of data and analytics
- 19:44Will LLM replace me?
- 20:29Top skills for AI relevance
- 22:39Q&A on AI ROI
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