Summary

Richard White’s argument is that AI-heavy product development behaves more like R&D under uncertainty than like classic roadmap execution. Organizations should keep core platform engineering stable while creating a faster exploratory AI lane.

Key points

• Roadmap certainty erodes when models improve rapidly.
• Separate exploratory AI work from core platform engineering.
• Build-vs-buy decisions stay fluid in volatile model markets.
• Qualitative QA and taste become strategic differentiators.
• Planning horizons should shorten while product identity stays strong.

Implications

This source is useful for thinking about team design, exploratory lanes, and where standard software planning assumptions break down in AI-native product work.

Open questions

• Which of our workflows should be treated as exploration lanes instead of normal execution lanes?
• What forms of qualitative QA are worth encoding versus keeping human-led?

Sources

• /Users/kalenhowellsr/Projects/corp-strategy-work/2. areas/research/syntheses/2026-02-18--beyond-the-prompt-richard-white-llms-as-interns-anti-planning-summary.md