Why half of PMs find it harder, according to a former Meta and Google executive

Anthropic’s Claude Opus 4.7 improved coding and agent-task performance, but sparked debate over higher token usage and weaker general quality.

A limited-release Claude Mythos was accessed by outsiders shortly after launch, highlighting security risks in early AI product rollouts.

The cases show that PMs must weigh performance gains against cost, reliability, security, and real-world usability—not just benchmark results.

AI product decisions need a balanced view of model capability, operating cost, and user trust, especially in coding-agent workflows.