OpenAI Town Hall with Sam Altman

Sam Altman answers questions and discusses the future of AI with builders from across the AI ecosystem.

00:00 Introduction
00:33 Will AI make software engineers obsolete or massively increase demand? (Jevons paradox)
02:18 If building is easy now, is go-to-market the real bottleneck?
04:35 What is OpenAI’s vision for agent builders and multi-agent UIs?
07:03 How can AI help close long-standing economic gaps like the gender wage gap?
09:53 Should models be specialized or general, given GPT-5’s tradeoffs?
12:27 How should developers think about “intelligence too cheap to meter” and model costs?
14:32 Why could custom interfaces accelerate micro-apps built just for individuals?
16:26 How do builders create durability when features can be replaced by model updates?
18:14 When will agents run long workflows autonomously without human intervention?
19:32 How can AI help improve the *quality of ideas*, not just execution?
23:06 Are we locking in foundations today that will be hard to change later?
25:08 Will AI eventually take over the full scientific research process?
29:50 How should we think about AI security and biocurity risks?
33:16 If AI makes individual learning instant, what happens to human collaboration?
38:18 What are the most underestimated failure modes as agents run production systems?
41:13 How should AI be introduced into early education and kindergarten?
43:00 Is there an inflection point coming for 3D reasoning and drug design?
43:47 Is university becoming limiting for AI builders, and do you still angel invest?
45:46 How will software engineering interviews change in an AI-first world?
51:40 How will human creative identity evolve alongside AI creation?
55:28 How will personalization and memory evolve across work and personal identities?
57:45 What is the most important skill to learn in the age of AI?

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