AI investment is rising, but measurable business outcomes from AI adoption remain elusive. According to IDC, only 11% of organizations report success in more than 75% of their AI projects – and on average, just 45% of AI initiatives deliver measurable outcomes.* But when AI initiatives succeed, the returns can be substantial. Nearly 55% of organizations estimate a 3–4x return on investment from their GenAI projects.**
Episode 1 of the Fujitsu impact series focuses on why so many AI initiatives stall, and what differentiates organizations that successfully move from pilots to enterprise-scale impact.
Listen to Fujitsu AI experts and a guest speaker from IDC who frame AI adoption as a business transformation challenge, rather than a technology roll-out problem. Learn from their real-world experiences with customers and independent analyst perspectives.
* IDC’s Technology Investment and Innovation Monitor: Tech Buyer and IT Spending Outlook and AI/Agent Adoption Survey, September 2025, (n= 894), #US53152725.
** IDC’s Market Perspective: Generative AI ROI, Global Survey, June 2025.
Designed for C-suite leaders and transformation owners who need clear, actionable guidance on scaling AI from pilot phase to enterprise value.
Unlock even deeper insights into the strategies, structures and real‑world practices that help organisations turn AI ambition into measurable impact. Dive into our extended white paper for a fuller exploration of the trends shaping enterprise‑ready AI, and get a fast, at‑a‑glance view of the key takeaways in our companion infographic.

VP at IDC Asia / Pacific AI Lead, Data, Analytics & Sustainability Research

VP & CTO for Fujitsu Europe, 30+ years in Enterprise IT and AI Governance

AI SME and GTM Strategist at Fujitsu Europe
MODERATOR

Global Thought Leadership Evangelist
Unlock the full potential of AI-driven transformation with our exclusive white paper, AI Adoption - A Practical Playbook for CxOs.
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What You’ll uncover:
Core Principles: Start with business outcomes, not technology hype.
Governance & Trust: Build accountability and ensure compliance with data sovereignty and security standards.
Data Readiness: Prepare your organization for AI with robust data strategies.
Scalable Frameworks: Learn how to design and orchestrate AI projects for measurable impact.

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