Jack Clark says the AI industry is racing forward without the ability to stop, as Anthropic's own AI handles 80% of coding tasks internally.
Jack Clark, co-founder of Anthropic, went on a media blitz this week with a message that should make anyone paying attention uncomfortable: the AI industry has built itself a very fast car with no way to slow down.
In appearances on BBC Newsnight and CNN on June 5, Clark delivered a blunt metaphor for where things stand.
“Right now, it’s like the AI industry has a gas pedal, but it doesn’t have a brake pedal.”
Claude is already doing most of the work #
Anthropic’s own AI model, Claude, currently handles 80% of the company’s coding tasks. Clark indicated that figure could reach 100% within the next couple of years.
Alongside the media appearances, Clark and Marina Favaro, the lead at The Anthropic Institute, co-authored a blog post tackling what they called “full recursive self-improvement.” In plain terms: AI systems that can upgrade themselves without humans directing the process. The post acknowledged the potential upsides for scientific research and healthcare breakthroughs, but the tone was clearly one of caution rather than celebration.
The core argument is straightforward. If an AI can improve its own capabilities independently, the speed of advancement could outpace any human ability to monitor, understand, or correct what’s happening.
What this means for investors #
Clark’s call for coordinated action from both the industry and policymakers is the part that matters most for anyone with capital at risk. He’s not asking for a voluntary slowdown. He’s urging the creation of actual mechanisms, regulatory or otherwise, that could pump the brakes on AI development if needed.
Companies that have invested early in safety research and governance frameworks, Anthropic being a notable example, could find themselves with a competitive moat if regulation arrives.
For crypto-adjacent investors watching the AI narrative, it’s worth noting that Clark’s warnings contained zero mention of blockchain, tokens, or digital assets. The actual conversation happening at the highest levels of AI development is focused squarely on governance, safety, and economic disruption, not decentralized compute or tokenized AI agents. Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our