Anthropic CEO Says AI Could Write '90% Of Code' In '3 To 6 Months'—Warns 'Every Industry' Will Be Affected

AI could soon write 90% of software code in as few as three to six months, Anthropic CEO Dario Amodei said at a Council on Foreign Relations event on March 10. He added that within 12 months, nearly all coding tasks might be handled by AI. Human developers, however, will still be needed to provide design inputs and set operational parameters for these models.

AI Code Revolution

Anthropic, co‑founded by Amodei in 2021 after his stint at OpenAI, has attracted billions in funding from major tech companies such as Google and Amazon AMZN. In March, Amodei stated that in time, AI systems will take over tasks previously done by human programmers, expanding their reach into nearly every industry.

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Garry Tan, president and CEO of startup incubator Y Combinator, said in an interview with CNBC that 25% of founders in the Winter 2025 batch relied heavily on AI, with 95% of their code generated by large language models.

The Winter 2025 batch refers to the cohort of startups participating in Y Combinator’s accelerator program during the winter of 2025.

OpenAI CEO Sam Altman suggested that students should master AI tools just as previous generations learned to code. In a recent interview with Ben Thompson of "Stratechery," Altman said, “The obvious tactical thing is just get really good at using AI tools.”

The integration of AI in coding is already showing benefits. According to Reuters, JPMorgan Chase’s JPM global chief information officer, Lori Beer, said that its AI coding assistant increased software engineers' productivity by up to 20%, allowing them to concentrate on high‑value projects in artificial intelligence and data.

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In addition, the Bureau of Labor Statistics projected a 18% growth in software development jobs from 2023 to 2033, adding approximately 303,700 new jobs over the decade.

Ethical concerns accompany these advancements. Accountability, bias, and potential security vulnerabilities in AI-generated code highlight the need for human oversight, as stated by All Things Open, a technology conference focused on open-source software and emerging technologies.

Industry experts warn that AI-generated code requires strict human oversight to prevent compliance issues and security risks, according to VentureBeat. Without proper governance, unchecked AI-written code could introduce vulnerabilities. Automated guardrails are recommended to audit and secure AI-generated software, ensuring compliance with industry standards and legal requirements.

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