Unlike traditional software development, AI-native founders avoid long-term, deterministic roadmaps. They recognize that AI capabilities change so rapidly that the most effective strategy is to maximize what's possible *now* with fast iteration cycles, rather than planning for a speculative future.

Avoid overly detailed, multi-year roadmaps. Instead, define broad strategic 'horizons.' The shift from one horizon to the next isn't time-based but is triggered by achieving specific metrics like ARR or customer count. This allows for an agile response to market opportunities while maintaining strategic focus.

In the fast-evolving AI space, detailed long-term roadmaps are a "waste of time." Cursor opts for a flexible approach guided by a high-level "fuzzy direction" rather than a rigid plan. This allows them to adapt to new models and user behaviors quickly.

OpenAI operates with a "truly bottoms-up" structure because it's impossible to create rigid long-term plans when model capabilities are advancing unpredictably. They aim fuzzily at a 1-year+ horizon but rely on empirical, rapid experimentation for short-term product development, embracing the uncertainty.

To balance immediate user needs with long-term R&D, Eleven Labs uses a "3-month rule." If a foundational research solution is projected to take more than three months, the product team is empowered to ship a simpler, faster, tactical solution in the interim.

In the fast-moving AI sector, quarterly planning is obsolete. Leaders should adopt a weekly reassessment cadence and define "boundaries for experimentation" rather than rigid goals. This fosters unexpected discoveries that are essential for staying ahead of competitors who can leapfrog you in weeks.

In a rapidly evolving field like AI, long-term planning is futile as "what you knew three months ago isn't true right now." Maintain agility by focusing on short-term, customer-driven milestones and avoid roadmaps that extend beyond a single quarter.

ElevenLabs' CEO sees their cutting-edge research as a temporary advantage—a 6-12 month head start. The real, long-term defensibility comes from using that time to build a superior product layer and a robust ecosystem of integrations, workflows, and brand. This strategy accepts model commoditization and focuses on building durable value on top of the technology.

The rapid pace of AI innovation means today's cutting-edge research is irrelevant in three months. This creates a core challenge for founders: establishing a stable, long-term company vision when the underlying technology is in constant, rapid flux. The solution is to anchor on the macro trend, not the specific implementation.