Anthropic co-founder Ben Mann: Why 2028 is his bet on AGI

Mann notes that what looks like stagnation is often benchmark saturation and time compression—models are improving so quickly and being released so frequently that incremental gains feel smaller, even as underlying scaling laws continue to hold (and may even be strengthening).

He favors an “economic Turing test”: when AI can be profitably hired instead of humans for a large share of money‑weighted jobs and global GDP growth jumps (e.g., >10% annually), we’ll know we’ve crossed into the transformative/superintelligence era.

Mann expects dramatic productivity gains (e.g., 80%+ automated customer support resolution, 10–20x coding output) and significant job displacement, especially in lower‑skill or narrow tasks, followed by a world where labor is nearly free and even capitalism may look unrecognizable.

Anthropic’s safety research directly shapes Claude’s personality (helpful, honest, harmless) and trustworthiness; Constitutional AI lets the model learn from natural-language principles, producing behavior that both customers like and regulators can understand, while keeping Anthropic at the frontier.

Mann estimates the probability of existential or extremely bad outcomes from AI somewhere between 0–10%, emphasizes that alignment likely becomes impossible once superintelligence is reached, and argues that society should treat even low probabilities very seriously, given the stakes.