True AI Transformation Means Asking Different Questions

InnovationTrue AI Transformation Means Asking Different QuestionsByPawel Rzeszucinski,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 08, 2026, 07:00am EDTPawel Rzeszucinski is Senior Director of Data and AI at WebPros. getty​Organizations have spent the past couple of years distributing AI productivity tools across their workforces. Microsoft 365 Copilot users save an average of nine hours per month, according to Forrester. GitHub Copilot now generates 46% of code written by developers and has been adopted by 90% of Fortune 100 companies.​ These are impressive individual-level gains, yet a stark reality persists: McKinsey's 2025 research reveals that while 92% of companies plan to increase AI investment, only 1% consider themselves at AI maturity. BCG research reinforces this gap: Only 5% of firms are "AI future-built" and generating transformative value, while 60% report minimal revenue and cost gains despite substantial investment.​The productivity paradox is clear. Individual employees are more efficient, yet organizational transformation remains elusive. Forrester's Microsoft 365 study linked above demonstrates a 116% ROI over three years,​ but these returns stem primarily from operational efficiency and not business model reinvention. The uncomfortable truth is that giving everyone access to Copilot can hardly be called transformative when competitors enjoy identical capabilities. As I've observed over the last few years, true AI transformation requires organizations to confront existential questions about their very survival.​True AI Transformation: Confronting The Existential QuestionsAs generative AI and agentic capabilities mature, leadership teams must confront the reality that AI‑native competitors can rebuild entire value propositions from scratch, often with radically lower cost...