LLMs Fail Customer Insight; Coding Agents Win Enterprise

A product‑management blog warns that LLMs offer generic, outdated data and can’t replace real customer judgment. It argues for short feedback loops, rapid prototyping, and focused problem‑solving instead of outsourcing insight to AI.

David Pereira maps the evolution of product management, outlining a past‑present‑future framework that shows how AI and emerging AGI pressures are reshaping the role. He argues PMs aren’t disappearing but becoming broader value‑maximizers, balancing strategy, execution, and customer impact.

Anthropic and OpenAI have moved into profitable quarters as enterprise customers adopt their coding agents, Claude Code, Cowork, and Codex. Recent pricing shifts align enterprise seat costs with API usage, showing strong demand and validating product‑market fit for these AI tools.

Teams aiming for long‑term success should define a concrete, vivid short‑term target, ‘Point C’, to achieve within 12‑24 months, rather than merely maintaining the status quo. This strategic milestone serves as a fundable, rally‑point that aligns vision, motivates the team, and drives progress toward the ultimate goal.