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Andrew Ng: AI Won't Replace Developers, But It Changes Everything
19 Nov
Summary
- Everyone should learn AI coding basics, like basic math.
- Universities are slow to adapt curricula to AI coding realities.
- AI fear has been intentionally sown by some businesses for lobbying.
Andrew Ng, at the second annual AI Dev summit, shared insights on AI's impact on software development and the future of work. He advocates for universal basic AI coding literacy, comparing it to understanding fundamental math, and calls for universities to rapidly update curricula to include AI integration. Ng argues that AI coding, while mentally taxing, is here to stay and shifts the focus from prototyping to product management.
Ng highlighted that entry-level coding jobs are affected by AI's efficiency, partly due to past overhiring by tech companies. He criticizes universities for lagging in AI education, stating it's "malpractice" not to teach API calls to AI models. This gap leaves many graduates unprepared for the current market, where demand for AI-skilled coders is high.
Addressing public perception, Ng suggested that fear of AI has been amplified by businesses for lobbying efforts. He also commented on AI governance, favoring sandboxed environments over restrictive regulations and noting the US's looser federal approach. Ng believes greater transparency from large AI companies could help identify emerging problems more effectively.
