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Everyone's still in discovery phase.
Six months of vendor demos. Three months of requirements gathering. Another quarter for procurement. Meanwhile, your competitor shipped something basic yesterday and it's already getting smarter.
Perfect AI that ships next year loses to good AI that ships next week.
The market is moving too fast for waterfall. For consensus. For perfection. The winners are shipping, learning, and iterating while others are still scheduling stakeholder alignment sessions.
The Speed Equation
Smart firms understand the compound effect:
- Week 1: Ship basic automation, save 2 hours
- Week 4: Refine based on usage, save 10 hours
- Week 12: Expand scope, save 40 hours
- Week 24: System learns patterns, saves 100+ hours
The careful planners? Still in committee.
Why Fast Beats Smart
Three reasons speed wins:
Market education happens daily. Every day you wait, clients get smarter about AI. Their expectations rise. Your "revolutionary" solution becomes table stakes.
Learning requires doing. No amount of planning reveals what actual usage does. Ship, observe, adjust. Real data beats all projections.
Talent follows momentum. The best people want to build, not plan. They join firms that ship. Your AI initiative either attracts builders or repels them.
The Right Kind of Fast
This isn't about being reckless. It's about being systematic:
- Start with contained risk, real value
- Ship to power users first, not everyone
- Build feedback loops, not feature lists
- Measure adoption, not just accuracy
- Iterate weekly, not quarterly
In AI, this isn't just true; it's existential.
Ship next week or become irrelevant next year.
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