AI Coding Revolution Underway at Leading Tech Companies
Artificial intelligence is now writing approximately 90% of code for most teams at Anthropic, according to CEO Dario Amodei’s recent statements at the Dreamforce conference. During a conversation with Salesforce CEO Marc Benioff, Amodei revealed that his prediction about AI-dominated coding has become reality within his company and several partner organizations.
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“I made this prediction that, you know, in six months, 90% of code would be written by AI models,” Amodei stated. “Some people think that prediction is wrong, but within Anthropic and within a number of companies that we work with, that is absolutely true now.”
Engineer Roles Evolving Rather Than Disappearing
Despite the high percentage of AI-generated code, sources indicate that human engineers remain crucial to the development process. Amodei clarified that companies shouldn’t “misinterpret” Claude’s ability to write features and help solve long-running software bugs.
“If Claude is writing 90% of the code, what that means, usually, is, you need just as many software engineers. You might need more, because they can then be more leverage,” Amodei explained. “They can focus on the 10% that’s editing the code or writing the 10% that’s the hardest, or supervising a group of AI models. And so what happens is, you know, you just end up being 10 times more productive.”
Industry-Wide Shift Toward AI-Assisted Development
The trend extends beyond Anthropic, with reports suggesting widespread adoption of artificial intelligence coding tools across the tech industry. In March, Garry Tan, the president and CEO of startup incubator Y Combinator, stated that approximately 25% of founders in the company’s 2025 winter batch are generating up to 95% of their code using AI assistance.
This technological shift coincides with other industry developments, including recent performance leaks about Apple’s upcoming M5 chip and the Free Software Foundation’s launch of the LibrePhone project to reverse-engineer mobile technology. Additionally, financial analysts are monitoring a BlackRock-NVIDIA backed consortium that reportedly acquired Aligne Technologies.
Entry-Level Positions Most Affected by AI Adoption
A recent Stanford study suggests the rise of AI coding tools is already impacting employment patterns within the software engineering field. According to the report, employment for developers between 22 and 25 years old had fallen by nearly 20% as of July 2025 compared to its peak in late 2022.
Researchers note this decline coincides with the launch of ChatGPT in November 2022, indicating a correlation between advanced AI systems and reduced demand for entry-level programming positions. However, analysts suggest that experienced developers are much less susceptible to the impacts of AI coding tools, maintaining stronger job security despite technological advances.
Productivity Gains Without Workforce Reduction
Amodei emphasized that the integration of AI at Anthropic represents “rebalancing” rather than replacement of human talent. The chief executive officer described a scenario where engineers become more productive by focusing on complex problem-solving and supervisory roles while AI handles routine coding tasks.
This approach appears consistent with broader industry trends where companies like Salesforce are integrating AI across their platforms while maintaining their human workforce. The transformation suggests a fundamental shift in software development workflows rather than outright displacement of technical professionals.
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