The resignation of Anthropic researcher Jacob Cox-Smith last week brought renewed attention to whether venture capitalists are adequately assessing AI safety risks before investing. As AI models become more powerful, investors face growing pressure to evaluate potential dangers, including misuse, bias, and long-term alignment concerns. Firms like Sequoia Capital and Andreessen Horowitz have begun incorporating safety checks into their due diligence processes, but critics argue these measures remain insufficient.

Some investors are now requiring portfolio companies to undergo external safety audits and adopt transparency frameworks. However, the rapid pace of AI development often outstrips regulatory and ethical oversight. "We need to ensure that safety isn't an afterthought," said Sarah Chen, a partner at Eclipse Ventures. "It should be baked into every investment decision from day one."

Regulatory bodies in the EU and US are also stepping in, proposing stricter guidelines for AI governance. Meanwhile, startups continue to race for funding, raising questions about whether financial incentives align with responsible innovation. The debate intensified after several high-profile departures from leading AI labs, highlighting internal tensions around safety priorities.

As the industry grapples with these challenges, stakeholders are calling for standardized safety benchmarks and greater accountability across the investment chain.