Webinar: How AI is disrupting your business model - and how you should respond

Quick Overview

The main takeaway is that AI strategies must focus on structural reinvention (Track 1) and workflow redesign (Track 2), rather than just incremental optimization (Track 3), because AI is fundamentally reshaping markets by eroding human-time monetization and lowering barriers to entry for new, lean, AI-native competitors.

Key Points: Most current AI strategies miss the point by focusing only on incremental optimization (like rolling out copilots) instead of structural reinvention and workflow redesign. AI is a general-purpose technology that drives structural shifts by enabling new business models, new cost structures, and new competitive moats, similar to the impact of the internet or electricity. AI fundamentally shifts control by moving power to those who own the algorithmic layer, impacting decisions, executing them on behalf of users, and removing unnecessary intermediary roles. The second-order disruption is the rise of new, lean competitors (like AI-native startups such as Base44, acquired by Wix for $80M) who can build and scale quickly with minimal headcount due to AI-driven efficiency. AI erodes human-time monetization by making tasks previously billed by the hour (consulting, legal drafting, accounting) easily automatable, shifting customer value perception from effort/units to continuous outcomes/performance. The AI Disruption Exposure Index assesses business model vulnerability across eight categories, including Operational Exposure, Differentiation Erosion, and AI Capability Maturity. The key to responding is a structural redesign focusing on reinventing where value sits (Track 1) and rebuilding how value is delivered (Track 2), rather than just optimizing existing workflows.

Context: Laura Stevens, a Managing Director at BOI (Board of Innovation), hosts this webinar to explain why most enterprise AI strategies are failing by focusing too narrowly on optimization rather than embracing the structural market shifts driven by AI. She introduces a framework based on three tracks of AI transformation: Strategic Reinvention, Workflow Redesign, and Operating Model Redesign, using examples like Base44 to illustrate how AI lowers barriers to entry and erodes traditional labor-based monetization models.