@CaijingView: Anthropic CEO answered the question everyone cares about most: should you still learn to code? 1. Programming will be the first to go. AI models are already doing it. Broader software engineering tasks will take longer, but they're receding too. If you're learning to code just to keep your job, you're heading in the wrong direction. 2. Even if you only do …

X AI KOLs Timeline News

Summary

Anthropic CEO addressed the popular question "should you still learn to code?" He believes programming jobs will be the first replaced by AI, but that doing even 5% of the work still holds enormous value, and he recommends focusing on people-centered careers, critical thinking, and the semiconductor sector.

Anthropic CEO answered the question everyone cares about most: should you still learn to code? 1. Programming will be the first to go. AI models are already doing it. Broader software engineering tasks will take longer, but they're receding too. If you're learning to code just to keep your job, you're heading in the wrong direction. 2. Even if you only do 5% of the work, it still has value. AI does 95%, you do 5%, and your productivity can be 20x higher. The power of comparative advantage is remarkable, even when the gap is huge. 3. The most promising careers are human-centered. Jobs that combine interpersonal skills, the physical world, and analytical ability. He cited the example of a radiologist: a doctor who understands the patient and context, not just someone who reads scans. 4. Critical thinking may be the most important skill of the next decade. When AI can generate everything, the ability to tell true from false becomes scarce and valuable. You don't want to hold false beliefs, and you don't want to be deceived. This is his practical advice for 25-year-olds. 5. If you use AI poorly, it will make you dumber. Anthropic has done research on this. Depending on how you use models, the decline in coding ability is measurable and real. The problem isn't the tool—it's misuse. 6. He's bullish on semiconductors as the capitalistic triumph of the next decade. The physical world, traditional engineering, direct AI dividends. Not software, but chips. https://x.com/JaynitMakwana/status/2065014853107097825/video/1…
Original Article
View Cached Full Text

Cached at: 11/01/26, 05:57 PM

Anthropic CEO Answers the Question on Everyone’s Mind: Should You Still Learn to Code?

  1. Programming will be the first to go. AI models are already doing it. Broader software engineering tasks are slower to fade, but they’re receding too. If you’re learning to code just to keep your job, you’re aiming at the wrong target.

  2. Even if you only do 5% of the work, it’s still valuable. AI does 95%, you do 5% — and your productivity can jump 20x. The power of comparative advantage is remarkable, even when the gap is enormous.

  3. The most promising careers are human-centered. Roles that combine interpersonal skills, engagement with the physical world, and analytical ability. He gives the example of a radiologist: a doctor who understands the patient and context, not just someone who reads scans.

  4. Critical thinking may be the most important skill of the next decade. When AI can generate everything, the ability to tell truth from fiction becomes scarce and valuable. You don’t want to hold false beliefs, and you don’t want to be deceived. This is his practical advice for a 25-year-old.

  5. If you use AI poorly, it will make you dumber. Anthropic has done research on this. Depending on how you use models, the decline in coding ability is measurable and real. The problem isn’t the tool — it’s the misuse.

  6. He’s bullish on semiconductors as capitalism’s big win over the next decade. The physical world, traditional engineering, and direct AI dividends. Not software — chips. https://x.com/JaynitMakwana/status/2065014853107097825/video/1…

Similar Articles

@utopiazh: Andrew Ng suggests that everyone should learn to code. I don't entirely agree. "Being able to accurately tell AI/computer what you want it to do, and let it do it for you." This statement is fine, but whether everyone should learn to code is still controversial. For ordinary people, understanding AI's behavior patterns and being able to have conversations is enough. If AI needs to quietly write code in the background to complete tasks, it's also...

X AI KOLs Timeline

This article discusses Andrew Ng's suggestion that everyone should learn to code, but the author believes that ordinary people only need to understand AI's behavior patterns and be able to have conversations, with AI able to complete coding tasks in the background.

@ai_super_niko: https://x.com/ai_super_niko/status/2070299861757616606

X AI KOLs Timeline

This article discusses whether computer professionals still need to learn technical skills in an era where AI can write code. The author argues that surface-level technologies like syntax and APIs are depreciating, but deeper capabilities such as algorithms, design architecture, and judgment become more important. The focus of learning should shift from beginner-level skills to the knowledge required of senior engineers.