Will Skynet sort you out? An outsider's view on how to stay relevant in the era of GenAI
summary
Claims that large language models already reshape product work: a no‑code prototype turns audio memo to social posts by plugging an LLM into a pipeline, built solo then scaled with a collaborator who adds product thinking; industry anecdotes cite 90% automatable, 10% leverage (prompt precision, logic, soft skills); concrete paths to stay relevant include adapting as a product‑developer with domain focus, becoming an AI/ML engineer, or owning AI ethics and safety work.
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chapters (10)
- 0:00Introduction
- 3:10Dial-up to GenAI revolution
- 8:35GenAI reshaping product development
- 12:54GenAI tools as magicians
- 17:49Critical developer skills
- 23:22Domain expertise and product thinking
- 29:42GenAI impact on teams
- 34:13Future of software development
- 38:53Paths to stay relevant
- 41:26Q&A
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