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Anthropic Hiring Aggressively Despite AI Productivity Gains

by Benjamin Mann on July 20, 2025

Benjamin Mann approaches AI development with a profound sense of responsibility, viewing superintelligence as potentially humanity's last invention—one that could either lead to extinction or unprecedented flourishing.

At Anthropic, safety isn't just a consideration but the fundamental priority. Mann left OpenAI when he felt safety wasn't receiving top billing, describing how OpenAI operated with "three tribes" (safety, research, and startup) in tension. He believes the pivotal question is whether safety can be maintained while remaining at the technological frontier—a challenge Anthropic has turned into a strategic advantage through constitutional AI and alignment research.

Mann's perspective on AI timelines is sobering yet empirically grounded. He estimates a 50th percentile chance of superintelligence by 2028, based on scaling laws that continue to hold across orders of magnitude. While he puts the probability of catastrophic outcomes between 0-10%, he argues this risk demands attention precisely because so few people are working on it—fewer than a thousand researchers addressing a technology with $300 billion in annual investment.

For leaders, Mann's approach demonstrates how values-based differentiation can become a competitive advantage. Anthropic's focus on safety has become central to their product development, customer trust, and talent retention. When competitors offer massive compensation packages to poach AI researchers, Mann notes that Anthropic employees often decline because "my best case scenario at Meta is that we make money and my best case scenario at Anthropic is we affect the future of humanity."

For individual contributors, Mann's philosophy translates to practical advice about navigating technological change. He recommends being ambitious with AI tools—trying multiple approaches rather than giving up after initial failures—and embracing the "resting in motion" mindset that sustainable progress is a marathon, not a sprint. He suggests focusing on curiosity and creativity rather than specific technical skills that may soon be automated.

Mann's perspective challenges conventional thinking about progress and risk. Rather than viewing safety as a constraint on innovation, he sees it as enabling more ambitious products that require deep user trust. This approach has allowed Anthropic to publish openly about model limitations while building credibility with policymakers and customers who appreciate their transparency about potential risks.

As he puts it: "These are wild times. If they don't seem wild to you, then you must be living under a rock. But also get used to it, because this is as normal as it's going to be. It's going to be much weirder very soon."