Anthropic Co-founder Calls for AI 'Brake Pedal'
- •Jack Clark warns AI needs a brake pedal for slowing autonomous development
- •Claude currently writes 80% of its own code, potentially reaching 100% within two years
- •Anthropic nears a potential $1 trillion valuation ahead of a planned stock market listing
Jack Clark, co-founder of Anthropic, warned on June 5, 2026, that the AI industry lacks a critical mechanism to slow development, arguing for the establishment of regulatory frameworks similar to those implemented during the 20th-century oil boom. Clark noted that while the industry currently possesses a metaphorical gas pedal for rapid advancement, it lacks a brake pedal to manage potential autonomous development. He observed that Claude, the company's chatbot, is already capable of writing 80% of its own code, suggesting that 100% autonomous coding could be achieved within two years.
Clark emphasized that society must initiate a serious conversation regarding the implications of continued AI progress to mitigate risks such as economic disruption. He specifically cited mass layoffs within tech companies as evidence of AI’s capacity to displace software engineers. Despite these concerns, Anthropic and other frontier AI companies like OpenAI and Google have not committed to pausing their research. The company recently navigated a public dispute with the US Department of Defense regarding the potential use of its tools for lethal warfare and mass surveillance.
Meanwhile, Anthropic is preparing for a public stock market listing. Founded just five years ago, private investors now estimate the company's valuation at nearly $1 trillion. In response to recent executive orders from US President Donald Trump, the company has expressed support for a regulatory approach that currently avoids mandatory government safety testing. Addressing concerns about creativity, Clark stated that there is no current evidence that AI systems possess true creative capacity, noting that the company is restructuring in part due to engineering constraints that have hindered new ideas. He suggested that individuals with broad interests and reading habits remain the primary beneficiaries of current AI capabilities.