CGI: Why AI Adoption Faces Gaps Despite Growing Investment
What happened
CGI's 2025 Voice of Our Clients research reveals that 46% of organizations struggle to scale AI projects from proof-of-concept to production despite rising investment. Global AI Research Lead Diane Gutiw identifies three core barriers: legacy systems and data quality, governance, and talent gaps. This indicates that while AI adoption is accelerating, enterprise readiness significantly lags.
Why it matters
Directors of AI/ML evaluating scaling strategies must recognize that foundational investments in data quality, governance, and talent are critical, and should adopt a "governance by design" approach to responsible AI to bridge the gap between AI ambition and enterprise readiness.
Topics
- AI Adoption
- AI Governance
- Legacy Systems
- Talent Shortage
Articles in this trend
- CGI: Why AI Adoption Faces Gaps Despite Growing Investment — AI Magazine
- C-Suite AI adoption is rising, yet ambition is outpacing enterprise readiness — The AI Journal
- This Is What B2B Marketers Need to Know About the Future of Work — Marketing AI Institute | Blog
- When Companies Listen to Employees About AI, Everyone Benefits — Partnership on AI
- AI Values Institute Launches New White Paper Exploring the AI Value Alignment Gap — The AI Journal
- 7 reasons why the most successful companies in 2026 treat AI as a collaborator, not a replacement — AutoGPT
- Salesforce’s Internal AI Leaderboard Has Teams Competing for Little Trophies — 404media Feed
- Tackle Enterprise AI’s Hardest Question At Forrester’s AI Forums — Featured Blogs - Forrester