Roadmaps give way to adaptive planning
- A Forbes piece argued top innovators rely less on fixed roadmaps and more on continuous discovery in the AI era. (forbes.com) - The article framed planning as dynamic sensing, prioritisation, and reallocation rather than fixed feature commitments. (forbes.com) - The piece highlights a tension: maintain executive clarity while enabling faster iteration around AI-driven opportunities. (forbes.com)
Top innovators are abandoning fixed product roadmaps for continuous discovery and adaptive planning, Forbes reported on April 22, 2026. (forbes.com) The piece was written by Josipa Majic Predin and published on Forbes on April 22, 2026. (forbes.com) Majic Predin says companies are shifting from fixed feature commitments to "dynamic sensing, prioritisation, and reallocation" driven by real‑time signals and AI opportunities. (forbes.com) That change is occurring as enterprise generative AI spending surged to $37 billion in 2025, up from $11.5 billion in 2024, according to Menlo Ventures’ 2025 State of Generative AI report. (menlovc.com) McKinsey’s April 2026 "AI Transformation Manifesto" lists speed of application and organizational wiring among 12 themes that distinguish companies that scale AI, reinforcing the need for adaptive planning. (mckinsey.com) Product teams and UX guides describe continuous discovery as ongoing user research, daily metric reviews, and small experiments instead of one‑time specification cycles. (airtable.com) Some executives still defend traditional roadmaps as tools for alignment, budgeting and investor reporting; Harvard Business Review argued on Feb. 9, 2026, that incumbents often see only incremental gains when they bolt AI onto existing structures. (hbr.org) Forbes closes by framing the immediate management test: preserve executive clarity while reallocating people and capital quickly enough to chase AI signals — the companies that strike that balance will define product planning in 2026. (forbes.com)
