As artificial intelligence continues to advance at a rapid pace, fresh concerns are emerging about its impact on jobs in the technology sector. One of the strongest warnings has now come from the head of a leading AI company.
Dario Amodei, chief executive officer and co-founder of Anthropic, said AI systems could soon take over most tasks currently performed by software engineers. Speaking at the World Economic Forum in Davos, Switzerland, he stated that this shift could happen within the next 6 to 12 months.
Amodei made these remarks during a discussion with an editor-in-chief of a business publication and Google DeepMind CEO Demis Hassabis. He highlighted the speed at which AI capabilities in software development are improving and said future models may be able to manage the entire development cycle on their own.
“I think I don’t know we might be six to 12 months away from when the model is doing most, maybe all of what SWEs do end to end,” Amodei said.
He also noted that the role of software engineers is already changing inside his own company. According to Amodei, some engineers at Anthropic no longer write code themselves but focus on reviewing and refining what AI systems generate.
“I have engineers within Anthropic who say I don’t write any codes anymore. I just let the model write the code, I edit it,” he said.
These comments have intensified discussions around job security in the tech industry, especially for entry-level roles. Amodei said that the pace of AI progress continues to surprise even experts working closely with the technology.
He added that while hardware development and chip manufacturing still take time, software development is moving much faster due to AI-driven tools. New systems now allow users to describe requirements in simple language, with AI handling the coding process.
This trend has raised fears that junior software engineering roles could be the first to face disruption. At the same time, some experts argue that AI will act more as a productivity booster, helping engineers work faster rather than replacing them completely.
The debate reflects broader uncertainty about how quickly AI will reshape the future of work in software development.
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